Introducing the Bespoken + Kore AI Integration

Validate more than the conversation

When testing conversational AI, a passing conversation doesn't always mean everything worked correctly.

Your virtual agent may greet the customer, answer every question, and complete the interaction successfully—but what happened behind the scenes?

• Was the customer routed to the right queue?
• Was the correct session metadata recorded?
• Did the conversation follow the expected backend path?

Until now, verifying those outcomes often required manual investigation outside of your automated tests.

Today, that changes.

The Missing Piece in Conversational AI Testing

Traditional conversational AI testing focuses on validating what the customer hears.

• Did the bot respond correctly?
• Did it recognize the user's intent?
• Did the conversation reach the expected outcome?

These are essential questions—but they're only part of the picture.

Many contact center workflows also depend on backend events that aren't visible during the conversation itself.

A test may pass from the customer's perspective while silently failing behind the scenes.

For QA teams, that often means manually checking session records after each test to verify routing decisions, user metadata, and other platform-specific information.

Bring Kore AI Session Data into your Automated Tests

With Bespoken's new Kore AI integration, you can automatically retrieve session data after every test and validate it as part of your existing assertions.

Instead of checking backend information manually, you can now include it directly in your automated pass/fail criteria.

Examples include:

• Queue assignment
• User identification data
• Conversation metadata
• Session variables
• Routing information

Everything is validated alongside the conversation results you already see in Bespoken.

Configure once. Use everywhere.

The integration is configured once at the organization level by an administrator.

Admins simply:

• Connect their Kore AI environment
• Configure credentials
• Create friendly field mappings

Once that's done, every test author can use those mapped fields inside assertions—without needing API knowledge or understanding the underlying response structure.

For example:

Test authors simply reference Routed Queue like any other assertion.

No JSON parsing.

No API requests.

No manual validation.

Results where you already work

Backend validations appear alongside your normal test results, making it easy to understand both conversation behavior and backend outcomes from a single execution.

Integration results are available in:

• Test results
• Test Run Details
• History
• Monitoring email notifications

That means your team can investigate failures without jumping between multiple systems.

Why This Matters

By bringing backend validation into automated testing, QA teams can:

• Catch issues that aren't visible during conversations
• Eliminate repetitive manual validation
• Increase confidence in automated test results
• Verify complete customer journeys—not just responses

It's another step toward making conversational AI testing more comprehensive and reliable.

Getting Started

The Kore AI integration can be configured directly from your Bespoken dashboard.

If you'd like help setting it up or mapping your session fields, our team is happy to assist 👉contact@bespoken.ai

Ready to test beyond the conversation?

Book a demo to see how Bespoken helps teams automate conversational AI testing, validate backend workflows, and monitor customer experiences with confidence.

🤓 TL;DR

• Automatically retrieve Kore AI session data after every test.
• Validate routing, metadata, and backend outcomes as automated assertions.
• Configure once at the organization level.
• No API knowledge required for test authors.
• View results alongside conversation testing in Bespoken.