Pre-release AI assurance

Test your AI agent before it goes live.

Evaluate behaviour, expose material failure modes and produce evidence for the release decision.

  • Scenario testing
  • Failure analysis
  • Decision evidence

4-week pilot from £18,000.

Buyer fit

For teams that need evidence before approval.

The Lab supports public services, regulated enterprises and AI suppliers facing a material release decision.

Public sector

Evaluate resident-facing or staff-facing AI before operational use.

Regulated enterprise

Test AI where accuracy, escalation and accountability are material.

AI product teams

Give buyers independent evidence for procurement and deployment.

Testing scope

Test the behaviours that could change the decision.

Scenarios are agreed against the use case, operating environment and governance criteria.

01

Pathway accuracy

Does the agent follow the expected service or decision route?

Traceable outcomeJourney evidence
02

Policy and claims

Does it avoid unsupported, misleading or policy-inconsistent answers?

Material riskClaim evidence
03

Escalation and hand-off

Does it stop and route correctly when human judgement is needed?

Human oversightControl evidence
04

Data and operational safety

Are disclosure, fallback, monitoring and ownership boundaries clear?

Release readinessControl evidence
Four-step process

From use case to release evidence.

A focused pilot normally runs over four weeks.

01

Scope

Define the system, decision and expected behaviour.

02

Design

Build realistic scenarios and review criteria.

03

Evaluate

Run tests, capture traces and classify findings.

04

Decide

Issue evidence, conditions and a release recommendation.

Outputs

Governance-ready evidence, not informal test notes.

Each output connects a finding to its severity, trace, owner and required action.

Risk map

Material findings

Behavioural, operational and governance risks ranked for action.

Scenario pack

Test evidence

Expected behaviour, observed outcomes and trace references.

Evidence pack

Release recommendation

Decision summary, release conditions, owners and remediation.

View Sample Evidence
Engagement options

Choose the assurance depth the decision requires.

Start with a focused review, a four-week pilot or a wider enterprise programme.

Readiness review

AI Agent Readiness Review

From £4,950

For early risk scoping and a defined Test Lab plan.

  • Use-case review
  • Initial risk map
  • Recommended test scope
Enterprise assurance

Enterprise AI Assurance

Custom scope

For multiple systems, vendors or ongoing release oversight.

  • Portfolio assurance model
  • Repeatable evidence workflow
  • Executive reporting
View additional assurance options

Production Assurance Sprint

Time-bound assurance for a formal go-live decision.

Managed AI Assurance

Recurring retesting, incident review and change-impact evidence.

FAQ

Common questions

What can DaBuDa test?

AI agents, chatbots, copilots, LLM applications and AI-enabled workflows at prototype, procurement or pre-release stage.

Can this support procurement?

Yes. The Lab can provide independent behaviour, risk and readiness evidence for a proposed AI solution.

Do you certify AI systems?

No. DaBuDa provides structured testing and decision evidence; it does not certify or guarantee AI systems.

How much does a pilot cost?

A readiness review starts from £4,950. The recommended four-week Test Lab Pilot starts from £18,000.

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Tell us what you want to test.

We will respond with the right assurance starting point.