Automated Chatbot Utterance and Integration Testing to Improve Reliability
A global firm deployed a Microsoft Teams–integrated chatbot to support employee requests such as ticketing, reminders, and scheduling. As the number of supported utterances and third-party integrations grew, manual validation became time-intensive and inconsistent. CES automated end-to-end chatbot testing using its in-house Zyna framework, validating responses, integrations, and UI flows, and enabling scheduled Azure-based regressions – reducing manual testing and eliminating framework setup effort.
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The Challenge
High-volume utterance coverage
Third-party integration response validation
Manual testing time and repeatability
the client
Investment Banking & Finance (BFSI)
Technology Stack
- Selenium
- C#
- Unit Testing Framework
- Azure
- Azure Pipelines
- Microsoft Teams
Solution Area
- Quality Engineering | Chatbot Testing Automation
the impact
400 Hours Setup Saved
Manual Testing Cut (20 Days to 8 Hours)
Weekly Scheduled Regression Runs
Broader Automation Reuse Across Web Apps
The shift was automation-led.
The result: faster validation, repeatable regressions.
The Need
The firm’s Microsoft Teams–integrated chatbot handled a wide range of employee requests and pulled data from multiple applications. As utterances and integrations grew, the team needed a reliable way to validate functional behavior and third-party responses without spending weeks on repetitive manual testing.
Challenges
- Utterance volume and test coverage: The chatbot supported many utterances, and validating each flow with the right data sets took significant time.
- Integration and response validation across applications: The chatbot depended on responses from multiple applications, making manual verification slow and error-prone.
- Regression readiness without long manual cycles: The team needed repeatable regression runs to confirm stability as changes were introduced.
CES automated the chatbot testing end to end using an in-house framework and CI execution.
- Zyna-based automation foundation: Used CES’s ready-to-use in-house framework (Zyna) to accelerate automation startup and avoid building a framework from scratch.
- Chatbot web interface automation: Automated the complete chatbot web interface to validate functional flows tied to user utterances.
- Integration + response validation across utterances: Validated integrations and responses for a comprehensive list of utterances, including third-party application outputs.
- Azure Pipelines scheduled regressions: Hosted the solution on Azure Pipelines and ran weekly scheduled regression tests for consistent validation.
- Saved ~400 hours by avoiding framework build and initial setup effort
- Reduced manual testing from 20 days to 8 hours through automation
- Implemented weekly scheduled regressions via Azure Pipelines to keep coverage consistent release to release
- Built a framework approach that can integrate with multiple web applications for future automation runs
strategic client partner
Take the Next Step
If your Teams-integrated chatbot is growing faster than your test cycles, we can automate utterances, integrations, and regressions, so releases stay stable without long manual validation. Talk to our Strategic Client Partner.
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