DaBuDa.
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About DaBuDa

Practical AI.
Accountable delivery.

We are building DaBuDa around a straightforward idea: useful AI starts with understanding the work, and earns trust through testing.

Omoniyi Ajibade-Oke, Founder of DaBuDa Ltd
AI Agentic Engineering / AI Governance / Release Assurance / Operational Risk
Founder-led

Omoniyi Ajibade-Oke

Founder, DaBuDa Ltd

Former JPMorgan Chase Senior Vice President and British Council AI testing lead, with experience in evidence-led release decisions and high-control delivery.

Omoniyi leads DaBuDa's work across AI governance, evaluation and release assurance.

Your initial project conversation is with the founder. We focus on defining the problem, making the delivery scope clear and testing what is built.

Our Nova and AI Agent Test Lab work reflects that approach: understand intended behaviour, make failures visible and use evidence to support release decisions.

Explore what we have built →

  • Former JPMorgan Chase SVP
  • British Council AI testing lead
  • Enterprise release governance
View founder experience Connect on LinkedIn →
Strategic partners

Specialist expertise.
Accountable AI.

Specialist advisory partners for accountable AI deployment: connecting AI assurance with commercial control, behavioural risk and human oversight.

Caroline Malungu, Strategic Partner
Strategic partner

Caroline Malungu

Strategic Partner, Finance Transformation & Enterprise Governance

Caroline strengthens DaBuDa's commercial control and enterprise governance capability for AI-enabled transformation. Her expertise supports organisations that need stronger financial oversight, clearer operating models, sharper reporting discipline, and decision controls that can scale.

Strategic focus

  • Finance governance for AI-enabled transformation
  • Operating model control and reporting readiness
  • Commercial accountability and decision visibility
  • Investor-grade governance for enterprise scaling

Capability areas

  • Finance Transformation
  • Enterprise Governance
  • AI Programme Control
  • Reporting Readiness
  • Commercial Accountability

Advisory contribution

  1. Finance governance

    Financial controls, reporting discipline, and commercial oversight for AI-enabled change programmes.

  2. Enterprise control

    Operating model visibility, decision accountability, and governance structures that support scalable delivery.

  3. Investor-grade readiness

    Performance oversight and finance discipline for board, investor, and stakeholder confidence.

Connect with Caroline on LinkedIn →
Shelby Boateng, Strategic Partner
Strategic partner

Shelby BoatengBSc (Hons), MSc, CPsychol

Strategic Partner, Forensic Psychology, Neurodevelopmental Assessment & Behavioural Risk

Ms Boateng strengthens DaBuDa's behavioural assurance capability for AI-enabled services. Her forensic psychology expertise brings behavioural risk, neurodevelopmental insight, diversity-aware assessment, safeguarding, and human oversight into responsible technology deployment.

Strategic focus

  • Behavioural risk evaluation for AI-enabled services
  • Neurodevelopmental and accessibility-aware assessment
  • Diversity, fairness, and inclusion in service design
  • Human oversight for safeguarding and escalation pathways

Capability areas

  • Behavioural Risk
  • Human-Centred AI Assurance
  • Neurodiversity-Aware Design
  • Diversity & Fairness
  • Responsible Deployment

Advisory contribution

  1. Behavioural risk in AI systems

    Forensic psychology insight for complex, sensitive, or high-impact AI-enabled user journeys.

  2. Responsible deployment

    Safeguarding-aware escalation, accessibility considerations, and human oversight models for accountable technology delivery.

  3. Assessment governance

    Structured assessment expertise to support fairer, more inclusive, and evidence-led service design.

Connect with Shelby on LinkedIn →
Working principles

Useful before impressive.

We would rather solve one worthwhile problem than add another tool your team does not need.

Be specific.

Agree the workflow, its owner and the result that would make a difference.

Keep people in control.

Design review points and clear limits, especially where mistakes would matter.

Show the evidence.

Separate what has been demonstrated, what has been tested and what still needs proving.

Let's find a useful starting point

Bring the problem.
We will work through the possibilities.

No platform pitch required. Just a conversation about the work you want to improve.

Discuss a project