Councils
Test citizen-facing or staff-facing AI before it affects residents, service users, or public-sector operations.
DaBuDa helps organisations evaluate AI agents, chatbots, copilots, and AI-enabled workflows before release, procurement, audit, or senior approval.
4-week pilot from £18,000.
The Test Lab supports buyers and delivery teams that need evidence before release, procurement, audit, or senior approval.
Test citizen-facing or staff-facing AI before it affects residents, service users, or public-sector operations.
Evaluate customer-facing or staff-facing AI where accuracy, escalation, resilience, and governance evidence matter.
Convert AI risk from an abstract concern into documented test findings, conditions, and release evidence.
Give buyers independent assurance evidence that supports procurement, governance, and deployment discussions.
Every engagement produces structured evidence that service owners, governance teams, procurement teams, information security, audit, and senior decision-makers can review.
A clear view of behavioural, operational, governance, and service risks associated with the use case.
A structured library of prompts and user journeys used to evaluate the AI agent.
Findings showing performance against expected service behaviour, agreed criteria, and escalation rules.
A review-ready pack that can support approval meetings, audit trails, procurement due diligence, and release decisions.
The lab evaluates AI agent behaviour against realistic operating conditions, expected service outcomes, and governance criteria.
Does the agent follow the expected service journey, decision path, or workflow?
Does the agent respond correctly when users ask about rules, eligibility, complaints, housing, legal issues, or other sensitive topics?
Does the agent know when to stop, refuse, escalate, or hand over to a human team?
Does the agent invent information, overstate confidence, misquote policy, or provide unsupported advice?
Does the agent ask for, expose, infer, or mishandle personal or sensitive information?
Are ownership, monitoring, fallback, review, and release controls clear enough for go-live?
Start with a focused readiness review or move directly into a structured Test Lab Pilot.
Best for: Teams exploring an AI agent, chatbot, co-pilot, or workflow and needing a clear view of risk before deeper testing.
Best starting point for structured pre-release testing.
Best for: AI systems preparing for go-live, regulated deployment, public-facing use, or formal governance review.
From £6,500/month. Monthly or quarterly retesting, monitoring review, change evidence, risk trend reporting, and governance reporting.
Custom / £150,000+. Multi-system assurance design, governance model support, evidence workflow setup, and executive reporting.
AI Agent Test Lab helps organisations understand how an AI system behaves before it is exposed to residents, customers, staff, or regulated service teams.
The lab tests whether an AI agent follows expected service pathways, responds appropriately to sensitive prompts, escalates correctly, avoids unsafe or misleading outputs, and produces behaviour that can be reviewed against agreed governance criteria.
Provide an AI agent, chatbot, prompt set, vendor demo, prototype, or planned AI-enabled service.
Map what the AI should do, what it must not do, when it should escalate, and what governance criteria apply.
Test normal journeys, high-risk cases, edge cases, policy-sensitive prompts, and failure conditions.
Receive an evidence pack, risk findings, failure register, and release-readiness recommendation.
The lab provides a clear test scope, agreed criteria, documented findings, and reviewable evidence.
Support procurement teams with evidence on AI behaviour, risk, escalation, and readiness before buying or scaling.
Give AI boards, risk committees, data protection teams, and senior leaders a structured basis for review.
Support go-live decisions with thresholds, failure conditions, escalation checks, and remediation actions.
Create a record of what was tested, what was found, what needs to change, and what decision was made.
DaBuDa does not certify or guarantee AI systems. The Test Lab provides structured testing, independent review, and governance-ready evidence to support better-informed decisions.
DaBuDa is led by Omoniyi Ajibade-Oke, a former JPMorgan Chase Senior Vice President with experience in high-control environments where release decisions required structured evidence, governance, and risk accountability. He also led AI testing at the British Council.
AI Agent Test Lab is DaBuDa's controlled assurance environment for testing AI agents, chatbots, copilots, and AI-enabled workflows before live use.
No. The lab is designed for service owners, governance teams, risk teams, procurement teams, information governance, digital teams, and senior leaders.
Yes. DaBuDa can test vendor AI products, prototypes, demos, or configured agents to help buyers understand behaviour, risk, and readiness.
Yes. The Test Lab can support procurement due diligence by testing how a proposed AI solution behaves against realistic scenarios and governance criteria.
No. DaBuDa does not claim to certify AI systems or guarantee that an AI system is risk-free.
A focused AI Agent Readiness Review starts from £4,950. The recommended AI Agent Test Lab Pilot starts from £18,000. Production Assurance Sprints typically range from £45,000 to £75,000.
Share a few details about the AI system, workflow, or vendor product you want to test. DaBuDa will use this to understand the right assurance starting point.