Bridgit Bench Unlocks New Automation Capabilities for Workato Connector Expansion

The Client Profile

• Industry: Construction Technology & Workforce Management Software

• Use Case: Custom Connector Development & Integration Expansion

• Headquarters: Waterloo, Ontario, Canada

Bridgit is a construction technology company that provides workforce planning software designed specifically for contractors. Its **Bridgit Bench **platform gives construction organizations a centralized view of projects, roles, employees, skills, experience, and availability—helping contractors forecast workforce requirements and make more informed staffing decisions.

Headquartered in Waterloo, Ontario, Canada, Bridgit operates within the construction technology and workforce management software industry.

As customers increasingly connect workforce information with the rest of their business technology, integrations become an important part of extending the value of the Bridgit Bench platform. Bridgit already had a custom connector within Workato, but the connector supported a limited number of endpoints.

To unlock additional automation opportunities, Bridgit needed to expand what Workato users could access and accomplish through the connector.

The Challenge

Limited Connector Functionality Was Restricting Automation

Bridgit's existing custom Workato connector provided a foundation for connecting Bridgit Bench with other applications but the connector supported only a limited number of endpoints.

That meant only certain Bridgit Bench data and actions were available inside Workato recipes, restricting what users could automate between Bridgit Bench and the rest of their technology ecosystem. The connector needed to evolve and several technical challenges needed to be addressed:

• Additional Bridgit Bench API endpoints needed to become available within Workato.

• Data pulled from Bridgit Bench needed to be translated into compatible data types that Workato recipes could process.

• Data posted from Workato to Bridgit Bench required proper API response handling.

• Workato recipes needed to correctly interpret those responses so workflows could continue successfully.

• The expanded connector needed to support both inbound and outbound integration requirements.

There was also an important delivery constraint: Bridgit needed to expand the connector efficiently within a defined 20-hour development allocation and 60-day delivery period.

The objective wasn't to rebuild the connector, it was to expand the existing Workato investment so Bridgit Bench could participate in a broader range of automated workflows

The Solution

Expanding the Bridgit Bench Custom Connector in Workato

Quandary enhanced Bridgit's existing custom Workato connector for Bridgit Bench, adding new endpoints and expanding the actions and data available within Workato recipes.

The development team planned and created approximately 5–10 new connector endpoints, with the final number depending on the complexity of the individual endpoints and each endpoint expanded what Workato could do with Bridgit Bench.

Instead of being limited to the functionality available through the original connector, users gained access to additional data and actions that could be incorporated into automated recipes.

Building Bidirectional Integration Support

The enhanced connector was designed to support information moving in both directions.

Workato could pull information from Bridgit Bench for use elsewhere in an automated workflow and it could also post information back into Bridgit Bench when another system or process required an update. That bidirectional capability transformed the connector from a limited integration point into a more flexible automation interface.

Translating Bridgit Bench Data for Workato Recipes

Making an API endpoint available isn't enough, the information returned by Bridgit Bench also needed to be presented in a format Workato recipes could actually use.

For inbound data pulls, Quandary configured the custom connector to translate Bridgit Bench data into compatible data types within Workato and this allowed information retrieved from Bridgit Bench to become usable input for subsequent recipe steps.

Rather than requiring users to manually interpret or restructure API data, the connector handled that translation as part of the integration.

Handling Outbound API Responses

Outbound transactions introduced a different challenge; when Workato posted information to Bridgit Bench, the API returned a response that the recipe needed to interpret correctly.

Quandary configured the connector's response handling so Workato could understand the results returned by Bridgit Bench and determine how the recipe should proceed and this helped ensure outbound workflows didn't simply send data—they could also understand whether the transaction had completed as expected and continue appropriately.

Developing Efficiently Within a Defined Scope

The engagement was structured around a 20-hour development allocation and individual endpoints required an average of approximately of 2-4 development hours.

This allowed Quandary and Bridgit to prioritize endpoint development based on complexity and business value while working within the available development budget and the complete initial scope was delivered through the allocated 20 hours.

Collaborating Throughout Development

The connector expansion wasn't completed in isolation. Quandary used a consultative and collaborative development approach that included screen-share sessions and centralized deliverable tracking.

This allowed requirements, endpoint behavior, and development progress to remain visible throughout the engagement and the result was not simply custom code handed back to Bridgit—it was a collaborative expansion of the integration capabilities surrounding Bridgit Bench.

The Results

5–10 New Workato Connector Endpoints

Quandary expanded the existing Bridgit Bench custom connector with approximately 5-10 new endpoints and each endpoint increased the number of Bridgit Bench actions or data sets available within Workato. That meant Workato users could incorporate more of the Bridgit Bench platform into automated workflows.

Bidirectional Data Integration

The enhanced connector was designed to support inbound + outbound data. Which means Workato could retrieve information from Bridgit Bench and send information back to the platform. This created a more flexible integration model capable of supporting workflows that required information to move in either direction.

2–4 Development Hours Per Endpoint

New connector functionality could be delivered efficiently, averaging approximately: 2-4 hours. That provided Bridgit with a structured way to expand its Workato connector while balancing endpoint complexity, development effort, and available budget.

Initial Scope Delivered Within 20 Hours

The complete initial connector expansion was delivered through a 20-hour development allocation. Rather than requiring a large-scale integration project, Bridgit was able to extend its existing connector through focused development.

More Bridgit Bench Functionality Available for Automation

The most important result wasn't simply the number of endpoints developed, it was what those endpoints made possible. This allowed additional Bridgit Bench data and actions became available inside Workato, expanding the range of recipes and cross-system workflows users could build around workforce information.

The Impact

A custom connector determines how much of an application can participate in an automation ecosystem. If the connector exposes only a limited set of endpoints, automation possibilities remain limited—even when the underlying platform can do much more and that was the opportunity Bridgit addressed.

By expanding its existing Workato connector, Bridgit made additional Bridgit Bench functionality available for integration and automation without rebuilding the underlying platform or connector architecture.

• **5–10 **New Workato connector endpoints

• **Bidirectional **Data pulls from and posts to Bridgit Bench

• 2–4 Hours average development time per endpoint

• **20 Hours **complete initial development allocation

Workato provided the automation environment, while Quandary extended the custom connector that determined how Bridgit Bench could participate within that environment.

• **For inbound workflows: **Quandary translated Bridgit Bench data into structures Workato recipes could consume.

• **For outbound workflows: **Quandary configured API response handling so Workato could interpret Bridgit Bench responses and continue recipes successfully.

The result was a more capable integration layer between Bridgit Bench and Workato—and a larger foundation for building automated workflows around construction workforce data. Instead of limiting automation to what the original connector exposed, Bridgit could make more of its platform available to the Workato ecosystem.