AI Agents Replace Legacy IVR and Achieve 96% Routing Accuracy

See how Quandary replaced legacy IVR with governed AI agents, achieving 96% routing accuracy, 60% faster resolutions, and stronger customer experiences.

The Company Profile

A Mortgage lender headquartered in Atlanta, GA. The client's primary business focuses on Conventional, Fixed-Rate, and Adjustable-Rate Mortgages (ARMs) and Government backed loads (FHA, VA, and USDA loans) that are designed for accessible entry and the growing need for fix-and-flip, BRRRR, and residential rental development financing and real estate portfolio financing. The client's market is the Southeastern United States; licensed in FL, GA, TN, AL, NC, MS, LA, and SC.

The Challenges

Legacy IVR Could Not Support Complex Financial Inquiries

Customer interactions in financial services often involve sensitive information, complex products, and strict regulatory requirements. The organization’s traditional interactive voice response system was not designed to manage this level of complexity or provide the natural, personalized experience customers expected.

Rigid phone menus struggled to interpret requests involving life insurance, policy information, retirement planning, and other financial services. Callers were frequently routed without sufficient context, forcing service representatives to repeat discovery questions and increasing the time required to resolve each request.

The company needed a solution that could:

  • Understand complex requests expressed in natural language.

  • Apply company-specific routing logic and regulatory requirements.

  • Integrate with existing core banking and customer relationship management systems.

  • Preserve conversational context during transfers to human specialists.

  • Operate at enterprise scale with appropriate governance, monitoring, and control.

The Solutions

Governed AI Agents for Customer and Partner Services

Quandary Consulting Group worked with business and technology stakeholders to map the organization’s service workflows, routing requirements, escalation paths, and compliance controls. Quandary then engineered AI agents powered by Workato and integrated with Dialpad’s AI Omnichannel Management Platform.

The agents served as a natural extension of the company’s customer and sales-partner service teams. Using natural language processing, they could interpret the reason for a call, ask relevant follow-up questions, and dynamically respond without forcing callers through a rigid menu structure.

Natural-Language Intent Recognition

The AI agents were trained to understand complex financial and insurance inquiries. They analyzed each request in real time, extracted intent and context, and applied company-specific routing rules to determine the appropriate destination.

Context-Rich Transfers to Human Specialists

When a human specialist was required, the AI agent transferred the caller together with the relevant conversational context. Requests arrived pre-qualified, allowing employees to continue the interaction without asking customers to repeat information they had already provided.

Integration with Existing Core Systems

Quandary connected the solution with the organization’s existing core banking and CRM environment. This was essential because years of legacy development had created fragmented data structures and complex access requirements across systems.

Governance and Operational Control

Intent recognition, dialog orchestration, real-time integration, monitoring, and control mechanisms were incorporated into a centralized orchestration layer. This gave the organization a governed way to scale AI-enabled service while protecting the integrity of sensitive financial interactions.

The Results

The transition from traditional IVR to agentic AI enabled the organization to resolve requests faster, route customers more accurately, and provide more personalized support at scale. Service employees received better-qualified interactions with useful context, while customers experienced a more intuitive path to the right expertise.

Key Outcomes

  • 96% routing accuracy across complex customer requests.

  • 60% faster resolution times.

  • 73% of AI-agent ratings scored four or five out of five.

  • Fewer repetitive questions during transfers to human representatives.

  • More consistent handling of regulated financial and insurance inquiries.

  • A scalable foundation for personalized customer engagement.

Why the Engagement Succeeded

The engagement combined AI technology with detailed workflow design, integration engineering, and governance. Quandary configured the agents around the organization’s actual service model rather than applying a generic conversational interface. The solution augmented employees, maintained human support for complex cases, and embedded intelligence within the company’s existing operational environment.

Technologies and Capabilities

  • Workato-powered AI agents.

  • Dialpad AI Omnichannel Management Platform.

  • Natural language processing and intent recognition.

  • Dialog orchestration and contextual routing.

  • Core banking and CRM integrations.

  • Real-time monitoring, governance, and controls.

  • Context-preserving transfer to human specialists.