Portfolio

Selected work

Case studies and outcomes from recent engagements and earlier roles in AI governance, data governance and AI delivery. Client names are withheld.

Case studies

Ignivara iQ engagement

Situation: The client planned to expand its AI use, including building in-house agentic tools to automate workflows and client services.
What I did: Discovery and workflow-by-workflow AI use mapping (tools, use cases, data flows, output review and ownership), with gaps assessed against current law, future obligations and client contract terms.
Findings: 28 items raised for management decision.
Outcome: Each item was worked through. A remediation roadmap sets out how the contractual and regulatory items will be closed, giving the client an evidence base for client and tender due-diligence questions and a governed footing for expanding AI use.

Earlier work, before Ignivara iQ

Situation: A data governance team was entering sensitive data into consumer GenAI tools, creating a live data-exposure risk.
What I built: A guardrailed GenAI platform giving the same capability under control: authentication, PII detection and blocking before the model API, locked-down input templates and usage playbooks.
Outcome: The risk was closed without banning the tool, and the capability moved from shadow AI to a governed service.

Over 50% fewer data-quality issues entering the enterprise catalogue.

Six months cleared to days, across 12 data domains and 20 senior stakeholders.

A stalled, ungoverned initiative taken through discovery, use-case prioritisation and a measured pilot.

Self-built, security-vetted tooling that surfaced hidden delivery friction.

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