Identify when the agent invents details, overstates confidence, or misses evidence boundaries.
Find AI agent risks before your users do.
DaBuDa helps teams test AI agents, chatbots, copilots, and AI workflows for behaviour, edge cases, escalation, and governance evidence before release.
AI agents can look ready in demos and still fail in real workflows.
Informal prompting does not show whether an AI system handles exceptions, follows policy, escalates correctly, or creates evidence leaders can trust.
Book a Risk Review DemoCheck whether sensitive, complex, or high-risk interactions are routed to a human correctly.
Test the same workflow across realistic scenarios, user types, and edge cases.
A practical testing conversation, not a sales theatre.
The demo shows how DaBuDa structures AI agent evaluation and turns test results into evidence that product owners, governance teams, procurement, and leadership can review.
Scenario testing
See how realistic prompts, edge cases, and workflow journeys are used to test behaviour.
Risk and control checks
Understand how escalation, unsupported claims, disclosure risk, and policy fit are reviewed.
Evidence pack outputs
Preview the type of documented findings that support release, procurement, or governance decisions.
Next-step clarity
Leave with a clearer view of what should be tested before your AI system is trusted in production.
AI Agent Readiness Review
For teams preparing an AI agent, chatbot, copilot, or workflow for pilot, procurement, or go-live review.
- Behaviour and edge-case testing
- Failure mode and escalation review
- Governance-ready findings
- Recommendations for release confidence
Useful when AI is moving from experiment to decision.
Book a demo if you need to understand whether an AI system is safe enough, controlled enough, or evidenced enough for the next stage.
See how your AI agent can be tested before release.
Choose an available time and share a few details about the AI system or workflow you want to evaluate.