Every growing organization eventually encounters the same problem: the processes, systems, and workflows that helped the business reach its current size are not necessarily capable of supporting where the business needs to go next.

A spreadsheet works until thousands of transactions depend on it. A manual approval process works until the organization expands across departments or locations. An enterprise platform works until employees begin creating workarounds because the system does not support the way the business actually operates.

This is where business process improvement (BPI) becomes critical.

Business process improvement is no longer simply about documenting workflows, eliminating redundant steps, or reducing costs. In 2026, process improvement increasingly involves connecting people, processes, data, applications, automation, and artificial intelligence into a coordinated operating environment.

Organizations are moving beyond isolated automation toward redesigning entire workflows around AI. According to McKinsey's 2026 State of AI research, nearly three-quarters of AI high performers report fundamentally redesigning workflows as a result of AI adoption, compared with approximately one-quarter of other respondents.

The implication is significant: the organizations generating the greatest value from AI are not simply adding AI to existing processes. They are redesigning the processes themselves.

That is also why business process consulting is evolving. The goal is no longer simply to make an existing process slightly faster. The goal is to determine how work should operate when applications, integrations, automation, data, AI agents, and employees can work together.

What Is Business Process Improvement?

Business process improvement is the systematic practice of analyzing, redesigning, implementing, and continuously optimizing the workflows an organization uses to accomplish business outcomes. The objective is to improve how work moves through the organization.

Depending on the process, improvement may involve:

• Reducing cycle time
• Eliminating duplicate data entry
• Removing unnecessary approvals
• Standardizing inconsistent workflows
• Connecting disconnected applications
• Automating repetitive work
• Improving data accuracy
• Creating real-time operational visibility
• Reducing process costs
• Improving compliance and governance
• Increasing throughput
• Improving customer or employee experiences
• Introducing AI into appropriate decision points
• Creating measurable performance indicators

Business process improvement can apply to virtually any repeatable operational workflow.

Common examples include:

• Procure-to-pay
• Employee onboarding
• Customer onboarding
• Revenue Cycle Management
• Invoice processing
• Field service operations
• Credentialing
• Prior authorization
• Project management
• Order management
• Compliance reporting
• Claims processing
• Customer service
• Financial operations.

The important distinction is that process improvement does not begin with technology. It begins with understanding how work gets done today, why friction exists, what business outcome needs to improve, and what the optimal future-state process should look like - Technology comes next!

Why Business Process Improvement Matters More in the AI Era

For years, organizations have approached digital transformation by purchasing new software and expecting processes to improve as a result. That approach frequently creates another problem: more technology without better orchestration.

An enterprise might have Salesforce for customer data, Workday for employees, SAP or Oracle for financial operations, Microsoft 365 for productivity, Quickbase for operational applications, a contact center platform for communications, and dozens of specialized applications.

Each platform may perform its individual function well, but the friction appears between the systems.

Employees download spreadsheets, copy information between applications, send emails requesting approvals, reconcile conflicting records, search for documents, update multiple systems, and manually coordinate work that should move automatically.

This creates what is effectively a human integration layer; employees spend their time making disconnected technology work together and modern business process improvement focuses on removing that friction.

From Process Improvement to Intelligent Operations

Traditional process improvement asks: How can we make this workflow more efficient?

Modern process transformation asks a broader question:How should this workflow operate if our people, data, applications, automation, and AI can work together?

AND, this distinction matters! McKinsey reports that 23% of organizations are already scaling AI agents in at least one business function, while another 39% are experimenting with agentic systems. AI agents are increasingly capable of handling multiple workflow steps rather than simply completing one isolated task.

For example, an AI-enabled service workflow may: Request Received → AI Classification → Data Retrieval → Business Rule Evaluation → Recommended Action → Workflow Execution → Human Review if Required → System Update → Customer Communication

The AI does not necessarily replace the employee; instead, the operating model changes so that technology handles predictable coordination while employees focus on exceptions, judgment, relationships, strategy, and high-value decisions.

That is the direction business process management is moving.

Business Process Improvement vs. Business Process Management

Business process improvement and business process management are closely related, but they are not identical.

• Business process improvement (BPI) focuses on improving a specific process or set of processes.
• Business process management (BPM) is the broader discipline of continuously designing, managing, measuring, and improving processes across an organization.

Think of BPI as an improvement initiative and BPM as the operating discipline that keeps improvement going.

An organization might launch a BPI initiative to reduce invoice processing time from five days to one day. Its BPM strategy ensures the invoice process continues to be monitored, measured, governed, and optimized as transaction volumes, systems, regulations, and business requirements change - The strongest organizations do both.

Business Process Improvement vs. Process Automation

Business process improvement and process automation are closely related, but they serve different purposes.

• Process improvement focuses on designing a better way for work to happen.
• Process automation uses technology to execute repeatable steps within that improved process with greater speed, consistency, and efficiency.

The sequence matters. Automating an inefficient or poorly designed workflow can accelerate the same bottlenecks, errors, and unnecessary steps that already exist. Before deciding what to automate, organizations should first understand how work actually moves across people, systems, and data.

That means asking questions such as:

• Which steps directly contribute value to the business or customer?
• Which steps can be simplified, consolidated, or eliminated?
• Where do employees spend time waiting for information, approvals, or handoffs?
• Where is the same information entered, copied, or validated more than once?
• Which decisions follow consistent, predictable business rules?
• Which decisions require experience, context, or human judgment?
• Which systems contain the information required to complete the process?
• Where does data become incomplete, inconsistent, or outdated?
• Which exceptions occur most frequently, and how are they currently handled?
• Which steps introduce unnecessary compliance, security, or operational risk?
• Where could AI assist with classification, extraction, analysis, recommendations, or decision support?
• Where could AI agents safely execute actions across systems, and where should human approval remain in the loop?

Once the process is understood and improved, organizations can determine which activities should be automated, which should be augmented with AI, and which should remain human-led.

This creates a stronger foundation for intelligent automation. Instead of simply replacing manual tasks with technology, organizations can redesign workflows around better data, connected systems, clear business rules, appropriate governance, and human oversight. The result is automation that improves the process itself while creating a foundation that can scale as AI and agentic capabilities become more deeply embedded in operations.

How AI Changes Business Process Improvement

AI introduces capabilities that traditional workflow automation does not provide. Traditional automation generally follows predefined logic: If X happens, perform Y. AI can operate in environments where the information is less structured.

For example, AI can help:

• Interpret documents
• Classify requests
• Summarize information
• Extract structured data from unstructured content
• Identify patterns
• Retrieve organizational knowledge
• Recommend next actions
• Generate communications
• Detect anomalies
• Evaluate information against policies
• Route exceptions
• Coordinate actions across applications
• Assist employees with complex decisions

This creates an important new layer between deterministic automation and human judgment. The emerging process architecture becomes: People + Applications + Data + Integration + Automation + AI + Governance

Rather than treating AI as another standalone application, organizations can embed intelligence directly into business processes. However, AI does not eliminate the need for process design. It makes process design even more important.

What is Process Mining?

Process mining is a data-driven method for understanding how business processes actually work by analyzing the digital records created by the systems employees use every day.

Think of it as an X-ray of a business process; instead of relying on interviews, workshops, or a documented process map that shows how a process is supposed to work, process mining uses system data to reconstruct how work really moves through the organization.

For example, imagine a company wants to understand its procure-to-pay process. Process mining can analyze timestamps and activity data from systems such as SAP, Oracle, Workday, Quickbase, ServiceNow, or other enterprise applications.

It can then reveal the actual paths transactions take from purchase request → approval → purchase order → invoice → payment.

What Process Mining Can Reveal

Process mining helps organizations identify things that are difficult to see through traditional reporting, including:

• Bottlenecks: Where work consistently slows down or gets stuck.
• Process variations: Where employees or departments follow different paths to accomplish the same task.
• Rework: Where transactions repeatedly move backward or require corrections.
• Manual work: Steps that could potentially be automated.
• Compliance issues: Transactions that bypass required approvals or controls.
• System friction: Places where disconnected applications force employees to manually transfer information.
• Automation opportunities: High-volume, repetitive steps that could benefit from workflow automation or AI.
• Performance differences: Why one team, location, vendor, or business unit completes a process faster than another.

A Simple Example:

• Suppose leadership believes its invoice approval process looks like this: Invoice Received → Manager Approval → Finance Review → Payment
• Process mining might discover that the real process looks more like: Invoice Received → Missing PO → Employee Research → Vendor Email → PO Correction → Manager Approval → Finance Rejection → Employee Correction → Finance Review → Payment

That difference is extremely important. Traditional process documentation tells you what should happen. Process mining tells you what is happening, how frequently it happens, how long each step takes, and where the process breaks down.

Process Mining Is Changing How Organizations Find Inefficiencies

One of the biggest developments in modern business process management is process mining. Traditional process discovery often depends on interviews, workshops, process maps, documentation, and employee observations.

Those methods remain valuable, but they can miss what actually occurs inside complex systems. Process mining analyzes event data from enterprise applications to reconstruct how processes operate in practice.

This can reveal:

• Bottlenecks
• Process deviations
• Rework
• Approval delays
• Duplicate activities
• Unexpected process paths
• Compliance issues
• Automation opportunities
• Variations between teams or locations

Gartner describes process mining platforms as foundational technologies for improving visibility into business operations and operational excellence. Modern platforms increasingly combine process discovery, task mining, process analysis, orchestration, execution, and generative AI capabilities.

For large organizations, this makes process improvement increasingly data-driven. Instead of asking only, “How do we think this process works?”; leaders can ask, “What does the operational data show us about how this process actually works?”

The 8 Steps of Modern Business Process Improvement

A successful business process improvement initiative follows a structured methodology.

Step 1: Identify the Business Outcome

Two things for the first step that are very important to remember

• Do not begin with software
• Begin with the outcome

The organization might need to:

• Reduce operating costs
• Accelerate customer onboarding
• Shorten invoice processing time
• Increase throughput
• Reduce employee administrative work
• Improve customer satisfaction
• Strengthen compliance
• Reduce revenue leakage
• Accelerate workforce deployment
• Improve reporting
• Increase operational visibility

Define the objective clearly and establish baseline metrics before changing the process; because, without a baseline, it becomes difficult to prove ROI.

Step 2: Map the Current-State Process

Next, document how work actually moves through the organization, identify:

• People involved
• Systems involved
• Data sources
• Documents
• Approvals
• Business rules
• Decision points
• Dependencies
• Exceptions
• Manual handoffs
• Reporting requirements

Most importantly, involve the employees who perform the process every day. The documented process and the real process are frequently different.

Step 3: Identify Bottlenecks and Root Causes

Once the current-state process is visible, analyze where friction occurs; look for:

• Repetitive data entry
• Spreadsheet dependencies
• Excessive emails
• Duplicate systems
• Manual reconciliation
• Long approval queues
• Missing information
• Poor data quality
• Unclear ownership
• Process variations
• Unnecessary steps
• Repeated errors
• Manual document processing
• Limited reporting
• Lack of system integration

The goal is not simply to identify symptoms, you need to make sure you actually identify root causes.

Step 4: Design the Future-State Process

Now determine how the process should work.

• Some steps may disappear entirely
• Others may become automated
• Some applications may need to integrate
• Data may need to move automatically

AI may handle classification, document interpretation, knowledge retrieval, or recommendations and employees may only become involved when exceptions require judgment. This is where process improvement becomes process architecture.

Step 5: Select the Right Technology

Technology should support the future-state process rather than dictate it. Depending on the problem, the architecture may include:

• Low-code application platforms
• Enterprise integration platforms
• APIs
• Workflow automation
• AI agents
• Process mining
• Robotic process automation
• Data engineering
• Document intelligence
• Enterprise search and knowledge systems
• Analytics and dashboards
• Existing ERP, CRM, HRIS, or EHR platforms

The objective is not necessarily to replace existing systems and often, the better strategy is to connect and extend them.

Step 6: Build, Integrate, and Automate

Once the future-state architecture is defined, organizations can begin implementation, this may involve:

• Building applications
• Configuring workflows
• Developing integrations
• Connecting APIs
• Migrating or cleaning data
• Establishing automation rules
• Implementing AI capabilities
• Creating dashboards
• Establishing permissions
• Designing exception handling
• Creating audit trails

Organizations should generally deploy in manageable phases rather than attempting a massive transformation all at once. Early wins help validate the architecture and increase adoption.

Step 7: Establish AI Governance and Human Oversight

AI-enabled processes introduce new governance requirements. Organizations need to define:

• What AI can access
• What actions AI can take
• Which decisions require approval
• How sensitive data is handled
• How AI activity is logged
• How outputs are evaluated
• How exceptions are escalated
• Who owns the process
• How models and agents are monitored

Human-in-the-loop workflows remain particularly important in regulated, financial, healthcare, safety-critical, and high-impact environments. The objective is not maximum autonomy, it is appropriate autonomy.

Step 8: Measure, Monitor, and Continuously Improve

Process improvement does not end at deployment. Organizations should continuously measure performance against the baseline established at the beginning of the project; common process improvement KPIs include:

• Cycle time
• Cost per transaction
• Error rate
• Throughput
• Approval time
• Automation rate
• Exception rate
• First-pass yield
• Revenue leakage
• Employee hours saved
• Customer satisfaction
• SLA performance
• Compliance rate
• Time to revenue

Processes should evolve as the organization changes.

That is what turns a successful automation project into a sustainable operating model.

Why Integration Is Critical to Process Improvement

One of the most overlooked components of business process improvement is integration.

A process may cross five or ten applications before it is complete and if those systems cannot exchange information, employees become responsible for transferring the data manually. Integration platforms such as Workato, APIs, and other orchestration technologies allow applications to communicate automatically.

A process can then become: Business Event → Data Captured → Workflow Triggered → Systems Updated → Approval Routed → Action Completed → Reporting Updated

This is fundamentally different from automating a single task, this is what we call process orchestration.

Why Low-Code Platforms Matter for Process Improvement

Enterprise systems cannot anticipate every specialized operational requirement. This is where low-code platforms such as Quickbase can become valuable.

Rather than replacing core platforms such as Workday, Oracle, Salesforce, or other enterprise systems, organizations can build purpose-specific operational applications around them.

These applications can:

• Centralize operational data
• Replace spreadsheets
• Manage specialized workflows
• Create role-based dashboards
• Automate approvals
• Track exceptions
• Integrate enterprise systems
• Support field operations
• Provide audit trails
• Adapt as processes change

This financial impact can be significant - A Forrester Total Economic Impact study commissioned by Quickbase reports that a composite organization generated a 315% ROI over three years, with $22.1 million in present-value benefits and payback in less than six months.

The study attributes value to lower operational costs, improved project management, reduced reliance on IT, increased competitiveness, and the retirement of disconnected tools.

What Does Business Process Improvement Look Like in the Real World?

The value of process improvement becomes much clearer when it is connected to measurable business outcomes.

Quandary Consulting Group works with organizations to redesign processes by combining operational strategy with custom application development, enterprise integration, workflow automation, data orchestration, and AI.

Several Quandary case studies demonstrate what that looks like in practice.

1. Jacobs: Automating Procurement Across $600 Million in Annual Purchasing

Jacobs operates a procurement function responsible for approximately $600 million in annual purchasing. The challenge is not simply one inefficient task. Procurement activity spans vendor management, RFPs, purchasing, invoices, supplier documentation, certifications, payment reconciliation, and vendor communications.

Quandary creates an integrated procurement ecosystem using Quickbase, Workato, Microsoft 365, Oracle, and OCR technology. Instead of employees manually connecting systems and processes, Workato orchestrates information between applications while Quickbase provides a centralized operational environment.

The transformation reduces the operational staffing requirement from approximately 140 employees to 60, representing a 57% reduction in required headcount while maintaining productivity. Several repetitive workflows move toward near-zero human interaction.

This demonstrates an important principle of modern process improvement: The largest gains frequently come from redesigning an end-to-end operating model rather than automating isolated tasks.

Read the Jacobs procurement automation case study

2. BrandSafway: Processing 100+ Employees in Minutes

BrandSafway manages a global workforce of approximately 40,000 employees. Its existing Workday process creates friction when teams need to onboard large numbers of employees quickly because employee information must be processed individually.

Quandary develops a custom Quickbase application integrated with the Workday API to support bulk workforce processing.

The solution enables BrandSafway to process 100 or more employee records simultaneously, turning high-volume onboarding that requires hours of administrative effort into a process that can be completed in minutes.

Importantly, Workday remains the system of record and the process improves because Quandary extends the existing enterprise platform rather than replacing it.

Read the BrandSafway workforce automation case study

3. Gateway Terminals: Consolidating 18 Legacy Systems

Following the merger of three port operators, Gateway Terminals faces a different process challenge: 18 disconnected legacy systems. Operational data, labor scheduling, equipment management, reporting, and billing exist across fragmented environments.

Quandary builds a custom Quickbase ERP that centralizes terminal operations and automates critical workflows.

The resulting system reduces billing cycles from 7–10 days to less than 48 hours, centralizes union labor scheduling, introduces scanner-based asset tracking, automates fleet maintenance, and provides real-time operational dashboards.

The project illustrates why system consolidation and process improvement frequently belong in the same conversation; disconnected systems create disconnected processes.

Explore the Gateway Terminals system consolidation case study

4. Advanced Fiber Inc.: Saving More Than 300 Hours Through Workflow Automation

Advanced Fiber Inc. encounters a common growth problem: operational complexity begins exceeding what its existing processes can support.

Manual invoicing and job-management activities consume significant executive time. Quandary expands the organization's Quickbase environment into a custom ERP that connects field operations, billing, reporting, accounting, communications, and fleet management.

The resulting automation saves more than 300 hours annually and reduces billing processes that previously take days to minutes.

Read the Advanced Fiber ERP automation case study

What Does a Business Process Consultant Do?

A modern business process improvement consultant helps organizations understand how work operates today, identify the underlying causes of inefficiency, design the future-state process, and implement the technology required to support it.

Depending on the engagement, a process consultant may:

• Conduct process discovery
• Map current-state workflows
• Perform root-cause analysis
• Identify automation opportunities
• Analyze systems and data
• Evaluate process performance
• Design future-state workflows
• Develop automation strategies
• Design integrations
• Build custom applications
• Implement AI agents
• Establish governance
• Define KPIs
• Support organizational change
• Train employees
• Continuously optimize the environment

The best consultants do not arrive with a predetermined technology solution, they begin with the business problem.

When Should You Hire a Business Process Improvement Consultant?

Organizations should consider external process consulting when operational friction begins affecting growth, cost, customer experience, compliance, or employee productivity.

Common warning signs include:

• Employees maintain critical processes in spreadsheets.
• Teams repeatedly enter the same information into multiple systems.
• Employees rely heavily on email to move work forward.
• Reporting requires manual data collection.
• Leadership lacks real-time operational visibility.
• Processes vary significantly between teams.
• Approvals routinely create bottlenecks.
• Systems do not communicate.
• Employees spend significant time reconciling data.
• Important knowledge exists only in employees' heads.
• The organization has accumulated numerous disconnected applications.
• AI initiatives struggle to move from pilot projects into production.
• Automation exists in isolated pockets without enterprise orchestration.

These problems often indicate that the organization needs a better operational architecture.

How to Choose a Business Process Improvement Consulting Firm?

Choosing a process improvement partner requires more than comparing hourly rates.

Look for Business and Technical Expertise: The consultant should understand both operational processes and the technologies required to improve them. Process strategy without implementation capability can result in attractive diagrams that never become operational systems. Technology expertise without process expertise can automate the wrong workflow - You need to have both.

Evaluate Integration Capabilities: Most enterprise processes span multiple systems. A strong process consulting partner should understand APIs, integration architecture, data orchestration, enterprise applications, and automation.

Look for Measurable Results: Ask potential consultants about measurable outcomes. Strong case studies should demonstrate improvements such as:

• Hours saved
• Cycle-time reductions
• Cost reductions
• Increased throughput
• Faster billing
• Reduced errors
• Improved data accuracy
• Higher conversion
• Reduced administrative workload

Evaluate AI and Automation Governance: AI changes what can be automated, but it also changes the risk profile. A modern process improvement partner should understand AI governance, security, human oversight, access controls, data architecture, and auditability.

Consider Long-Term Adaptability: Your business will change and your architecture should change with it. The objective should not be a rigid system optimized for today's workflow. It should be a flexible operating environment capable of evolving as your organization grows.

Business Process Improvement Is Becoming the Foundation for Enterprise AI

One of the biggest misconceptions about enterprise AI is that organizations can simply layer AI tools onto existing operations and expect transformational results. AI can accelerate work, analyze information, make recommendations, and increasingly take action across systems, but its effectiveness still depends on the processes, data, integrations, rules, and controls surrounding it.

As enterprise AI matures, the connection between AI transformation and process transformation is becoming increasingly clear. Organizations generating meaningful value from AI are looking beyond individual tools and use cases and examining how work needs to be redesigned around new capabilities.

That makes business process improvement a critical foundation for enterprise AI readiness.

Before an AI assistant or agent can reliably participate in a business process, an organization needs to understand:

• What is the process? The workflow, sequence of activities, handoffs, dependencies, and expected outcome must be clearly defined.
• What data does it require? AI needs access to accurate, current, relevant, and appropriately permissioned information.
• Which systems does it interact with? Organizations need to understand where data lives, which applications are systems of record, and how information moves between them.
• What business rules govern the process? Policies, thresholds, approval requirements, and decision criteria need to be explicit enough for automation and AI to follow consistently.
• Where is human judgment required? Complex, sensitive, ambiguous, or high-risk decisions may require human review, approval, or intervention.
• What actions can AI safely take? Organizations must establish boundaries around what AI can recommend, initiate, execute, modify, or escalate.
• How are exceptions handled? AI-enabled workflows need defined paths for missing information, conflicting data, unusual circumstances, system failures, and low-confidence outputs.
• How is performance measured? Organizations need clear metrics for accuracy, cycle time, cost, productivity, quality, customer experience, risk, and business outcomes.

These questions become even more important as organizations move from generative AI that creates content to agentic AI that can participate in workflows and take action across enterprise systems. An AI agent cannot reliably execute an end-to-end process if the underlying workflow is fragmented, business rules are unclear, systems are disconnected, or critical data cannot be trusted.

Business process improvement helps organizations address those weaknesses before they become AI problems. It creates an opportunity to simplify workflows, eliminate unnecessary steps, establish clear ownership, improve data quality, connect systems, define decision logic, strengthen governance, and determine where automation and AI can create the greatest value.

The result is a much stronger foundation for intelligent operations. Instead of adding AI to the way work happens today, organizations can redesign how work should happen when people, automation, data, applications, and AI agents operate together.

In that sense, enterprise AI transformation is increasingly becoming business process transformation. The organizations that understand and improve their processes first will be better positioned to deploy AI safely, scale it across the enterprise, and turn emerging AI capabilities into measurable operational results.

How Quandary Consulting Group Approaches Business Process Improvement

At Quandary Consulting Group, we help organizations move beyond incremental process fixes and build connected operating environments designed for automation, intelligence, and scale.

Our approach brings together: Business Process Strategy → Process Optimization → Data Engineering → System Integration → Intelligent Automation → Custom Application Development → AI Enablement → Governance → Continuous Improvement

We work across existing enterprise technology environments rather than assuming every transformation requires a platform replacement. Depending on the business requirement, that can include technologies such as Quickbase, Workato, Microsoft, Anthropic Claude, enterprise APIs, existing ERP and CRM systems, communication platforms, data environments, and purpose-built AI solutions.

The objective is straightforward: Make the process work better, make the systems work together, and make technology do more of the work that should not require human effort.

Additional Resources & Further Reading

• The State of AI: Global Survey 2026 (McKinsey & Company)
• From Adoption to Impact: Three Horizons of AI Transformation (McKinsey & Company)
• Gen AI in Business: Driving Workflow Transformation (McKinsey & Company)
• Critical Capabilities for Process Mining Platforms (Gartner)
• Magic Quadrant for Process Mining Platforms (Gartner)
• The Total Economic Impact of Quickbase (Forrester Consulting / Quickbase)
• What is process mining? (IBM)
• What is intelligent automation? (IBM)
• What is business process automation? (IBM)
• What is process improvement? (IBM)
• What is business process management (BPM)? (IBM)

Top FAQs About Business Process Improvement

What is business process improvement?

Business process improvement (BPI) is the systematic practice of analyzing, redesigning, implementing, and continuously optimizing business workflows. Organizations use BPI to reduce costs, eliminate bottlenecks, improve productivity, automate repetitive work, strengthen compliance, improve customer experiences, and create more scalable operations.

What is business process improvement consulting?

Business process improvement consulting helps organizations identify inefficient workflows and design better ways of operating. Consultants may analyze processes, map workflows, identify bottlenecks, recommend automation opportunities, integrate systems, build applications, implement AI, establish performance metrics, and support organizational change.

What are examples of business process improvement?

Examples include automating invoice processing, improving employee onboarding, reducing approval times, integrating CRM and ERP platforms, eliminating spreadsheet-based workflows, automating procurement, modernizing field operations, improving patient referral processes, streamlining revenue cycle workflows, and automating compliance reporting.

How does AI improve business processes?

AI can improve business processes by interpreting unstructured information, classifying requests, extracting data from documents, retrieving knowledge, identifying patterns, generating recommendations, assisting with decisions, coordinating workflow actions, and escalating exceptions to employees. AI is most effective when it is embedded within a well-designed and governed business process.

What is the difference between BPM and workflow automation?

Business process management (BPM) is the broader discipline of designing, executing, monitoring, and continuously improving business processes. Workflow automation uses technology to automate individual steps or sequences within those processes. Automation is therefore one component of a broader BPM strategy.

What is process mining?

Process mining uses event data from enterprise systems to reconstruct and analyze how business processes actually operate. Organizations use process mining to identify bottlenecks, deviations, rework, compliance problems, and automation opportunities that may not appear in traditional process documentation.

Should a company automate a process before improving it?

Generally, no. Organizations should first determine whether the process itself is efficient and necessary. Automating an inefficient process can preserve unnecessary steps and scale existing problems. Process optimization should typically occur before or alongside automation.

What business processes can be automated?

Many repetitive, rules-based, and data-intensive processes can be partially or fully automated. Common examples include invoice processing, employee onboarding, procurement, customer onboarding, approvals, document processing, reporting, data synchronization, scheduling, credentialing, compliance workflows, customer service, and field service operations.

How do you measure the ROI of business process improvement?

Organizations can measure business process improvement ROI using metrics such as employee hours saved, cycle-time reduction, cost per transaction, throughput, error rates, revenue recovery, automation rates, processing capacity, customer satisfaction, compliance rates, and reductions in technology or labor costs.

How long does business process improvement take?

The timeline depends on the complexity of the process, number of systems involved, quality of existing data, integration requirements, organizational readiness, and scope of automation. Focused improvements can often be delivered incrementally, while enterprise-wide process transformation may require a phased roadmap.

Every growing business faces the same problem: scaling systems to keep up with their success. And it's a problem that needs to be overcome. Otherwise, a business can end up tripping over its existing systems and stalling (or ruining the chance for) future wins.

And you don't need to be a unicorn to evaluate and improve your existing business systems. Due to constant changes in the global business environment, every business needs to constantly evaluate operations.

In short, you need to improve your business process management to sharpen their competitive edge and stay relevant. The most efficient way to do that is through process consulting.

What Is Business Process Improvement?

Business process improvement is the redesigning of existing business operations while removing non-value-adding costs and activities. The end goal is to achieve significant improvement in productivity, quality, and response time of the business process.

In simple words, it's a way of looking at your organization and figuring out how you can do things better. From reducing costs to your organization to over-delivering on customer demands, you'll find the solutions you need to scale your business efficiently with process improvement.

You'll need to improve your most processes at some point. As your business evolves and competition grows, today's effective business processes become ineffective and outdated tomorrow.

If you don’t have a strategy for business process improvement in place, your company may face problems in the long run. You even may lose everything you've worked hard to achieve. That's because business is more competitive these days, and margins are slim. To stand out in your market, you need every edge. Process improvement gives you that 'edge' people are always referencing.

Pros & Cons of Process Improvement Consulting

The success of your business largely depends on the effectiveness of its processes. If the processes you have in place are ineffective, they lead to a waste of resources. Without those resources, you're stuck trying to swim up a river with lead weights attached to your limbs.

That's no way to succeed.

Process improvements can help you drastically improve efficiency in your company. They reduce menial, boring (and time-consuming) tasks. As a result, your employees will have more time to focus on what really matters: tasks that bring strategic, real value. And it's that freedom to innovate that'll keep you competitive.

But what if you don’t have the time or know-how to analyze your current business process and find existing operational gaps that you need to attack first?

There is a simple solution: hire a business process consultant.

The Benefits of Business Process Consultants

Many top-performing businesses often turn to business process management consulting firms to get help with their process improvement projects - and there's a good reason for that.

An experienced consulting firm can take over your process improvements, performing a variety of tasks designed to make your business more efficient. As a result, you can reap all the benefits without spending tons of time assessing your business and employees on your own.

Ways Process Consultants Support Improvement

• Document current workflows and processes accurately
• Create a precise picture of all operations, highlighting all gaps
• Identify opportunities for improvement and prioritize them
• Find tasks that can be automated with advanced software
• Identify redundant processes that should be eliminated
• Develop and implement business process improvement solutions
• Make your business processes more efficient

Still, hiring external process improvement consultants has positives and weaknesses. To help you make an informed decision about whether you need process consulting for your organization, you need to know the pros and cons of each.

Benefits Of Outsourcing Process Improvement

Your organization stands to gain a lot from working with consultants. Here are a few benefits:

• Expertise from multiple projects in various markets: Typically, consultants have practical experience in running process improvement projects across a wide variety of industries. They're experts in advanced tools and best-practice methodologies.
• Avoiding common mistakes: Chances are that your process consultant will have experience in your exact field. They may have seen a similar situation before in their past projects. As a result, they'll be able to develop the best solution for your specific situation.
• Knowledge transfer: To ensure the success of your project, process consultants will teach you and your employees how to use tools and develop a sustainable process improvement system.

Disadvantages of Business Process Consulting

Outsourcing any work to a third party carries risks. These are a few you'll face:

• Services Cost: You'll need to pay for consulting services. It’s important to select the right consultant so that you don’t waste money.
• Decreased team motivation: You’ll need to explain to your employees why you are hiring an external consultant. Make sure all your relevant team members have the role in the project to feel involved in the decision-making process.
• Trust: You'll need to trust your partner has the experience to deliver solutions. Some consultants copy-paste solutions, rushed work, and assets that under-deliver. You'll want to make sure you work with trusted consultants or you could be worse off

What Are the Key Steps to Process Consulting

In businesses, things go wrong all the time. Often, we blame people for inefficiencies and ineffective work. But, the truth is that the vast majority of problems are caused by poor workflow processes.

The only way to change things for the better is to have a system of process improvement in place. To build that system, you need to identify the right processes first. After that, you'll need to deploy changes that improve these workflows while taking measures to make sure the changes stick.

Sounds challenging, right? That's why we stronger advise our clients to follow the steps below

Step 1. Identify the need to change

Conduct a process audit to find current issues or determine potential risks for your business. Review the impact each process has on your company. And prioritize areas for future improvement. Afterward, select the process to improve.

Step 2. Map out the process

Find out how your process is carried out. Map the process to visualize the current steps and see the process as a whole. You should consult the members of the team who use the process regularly to ensure that you don’t miss something important.

Explore each step in detail because some processes may include sub-steps invisible at the first glance. And you'll want to account for those steps to ensure you don't miss any opportunities.

Step 3. Analyze the current process

Analyze what's happening in the workflow and find out what’s causing the problems. Take a closer look at every step and identify problem areas that use up too many resources, take up too much time, or waste too much money.

You'll also need to discover the root of the problem to understand how you can fix it. To do that, you can use such methods as Six Sigma Process Mapping or the Root Cause Analysis.

Step 4. Design the improvement process

This step should be completed with your team. First, you can do some research to learn how your competitors are solving similar problems. Then, brainstorm the ideas with your team members and analyze each of them, by conducting an Impact Analysis.

To spot potential risks, you should carry out Risks Analysis. Think about how long it will take to carry out each idea. And choose the best solution to eliminate the problem.

Step 5. Assign resources

List everything that you will need to get the project done. You might need to talk with colleagues from other departments who will be also impacted by the changes to determine what to include in the list. Explain the new process and its benefits for your organization. Use process maps as a reference.

Step 6. Develop a plan for the process improvement implementation

Make your plan as detailed as possible. You need to list specific tasks for all the resources. And be sure to create a timeline to show when each task will begin and when it will finish.

Step 7. Make the change

Communicate the plan to your team to reduce the chance that they'll resist the new process. Afterward, start making improvements and follow the plan. It’s likely that you may need to organize training for your employees, purchase new software, or hire a new team member.

You should also consider running a test before you deploy the improvements. This will allow you to see what you've missed and to discover potential problems and bottlenecks. Then, you’ll need to suggest new improvements to fix them.

Keep in mind that your staff members can be resistant to the change, especially if they have been using the process for some time. There are some tools you can use to overcome that resistance such as the Change Curve; below is a simple chart to illustrate this concept from the EKR Family Limited Partnership website

Step 8. Monitor and optimize

Don’t expect that everything will go smoothly from the start. Process improvement is a continuous effort. Monitor how things are going to ensure that your employees follow the process and that everything is proceeding just as it was planned.

Be sure to ask your team members how the process is working and fix new problems as they occur. Also, adopt continuous improvement strategies to ensure that your process stays efficient and relevant as your business grows. Remember: process improvement is only effective if you use appropriate methodologies to execute it.

How to Find the Best Process Consultants

Here's how to choose the business process consulting firm for your company's requirements:

Step 1. Consider their previous experience

First, you need to verify their competency so you should review their track record. Find out how successful they have been with their previous projects and how satisfied their clients were.

You may be inclined to choose a process consultant with direct experience in your industry at first. But, that isn’t the most important factor. Your team members are experienced in your niche. As a result, they'll be able to convey the basic principles if necessary.

Remember: the primary mission of your consultant is to help your employees learn how to fix the existing processes and constantly improve them.

Step 2. Verify their communication style

Teamwork is very important so you should choose consultants with strong communication skills. Remember: good communication is the key to the success of your project. Your consultant should be able to convince your team that things need to be changed. Besides, good consultants are skilled listeners and can ask the right questions.

Step 3. Check how flexibility

Choose consultants who know how to adapt to your company’s culture. They need to be flexible and be able to recommend the best solution for your specific situation. You can’t use the one-size-fits-all model for improving processes.

Step 4. Think about ROI

Choosing a process improvement consultant with the lowest rate is not the best idea. It can be a mistake you’ll pay for long-term. To get the best for your business, you need experts. And they usually cost more.

Improving your process can’t be done in a few hours, either. So it's best not to expect that it'll be a quick, cheap fix. Instead, you should think of it as a worthwhile investment that will bring long-term returns for your business.

At Quandary Consulting Group, our process consultants can help you improve your workflows and systems by building custom applications and integrating your disparate systems.

Leveraging the power of rapid application development, low code platforms, and our extensive expertise, we help free businesses from clunky processes and manual systems.

See how we've helped our clients improve their businesses and get insane ROIs by checking out our case studies or reach out to us by sending us an email to schedule an introduction call.

Top 10 FAQs About Process Management

1. What is process management?

Process management is the practice of designing, documenting, executing, monitoring, and improving the workflows an organization uses to complete work. Effective business process management helps companies reduce inefficiencies, standardize operations, control costs, improve customer experiences, and achieve more consistent results.

2. Why is process management important?

Process management helps organizations identify bottlenecks, eliminate repetitive tasks, reduce errors, and improve operational visibility. By creating standardized and measurable workflows, businesses can increase productivity, strengthen compliance, improve service quality, and scale operations more effectively.

3. What are the main stages of process management?

The five primary stages of process management are:

1. Identify and document the existing process.
2. Analyze inefficiencies, risks, and bottlenecks.
3. Redesign and optimize the workflow.
4. Implement the improved process.
5. Monitor performance and continuously improve it.

Process management is an ongoing discipline rather than a one-time project.

4. What is the difference between process management and project management?

Process management focuses on ongoing, repeatable business activities, such as employee onboarding, invoice approvals, or customer support. Project management focuses on temporary initiatives with defined goals, deadlines, and deliverables. A project ends after its objectives are completed, while a business process continues and is regularly improved.

5. What are some examples of business process management?

Common business process management examples include customer onboarding, purchase order approvals, employee onboarding, inventory management, contract reviews, invoice processing, quality control, compliance reporting, and service request management. Any repeatable workflow involving people, systems, data, and decisions can benefit from process management.

6. What is business process management software?

Business process management software helps organizations design, automate, track, and improve workflows. These platforms may include visual workflow builders, approval routing, task management, business rules, system integrations, dashboards, audit trails, process analytics, and AI-powered recommendations.

7. How does process automation improve process management?

Process automation uses technology to complete repetitive tasks, transfer data, route approvals, send notifications, and trigger actions across business systems. Automating well-designed processes can reduce manual work, accelerate turnaround times, improve accuracy, and give teams greater visibility into operational performance.

8. How do you identify an inefficient business process?

Common signs of an inefficient business process include frequent delays, duplicate data entry, excessive emails, unclear ownership, inconsistent results, spreadsheet dependency, repeated errors, and limited performance visibility. High operating costs, customer complaints, and employee frustration can also indicate that a process needs improvement.

9. How do you measure process management performance?

Organizations can measure process performance using key performance indicators such as cycle time, completion time, error rate, cost per transaction, throughput, approval time, compliance rate, customer satisfaction, and percentage of tasks automated. The right metrics depend on the process and the business outcome it supports.

10. How can a business improve its process management strategy?

A business can improve process management by documenting current workflows, involving the people who perform the work, defining clear ownership, integrating disconnected systems, automating repetitive tasks, and measuring results. Organizations should begin with a high-impact process, establish baseline metrics, implement targeted improvements, and continually refine the workflow based on performance data.