Selected work

Context: Flagship legal knowledge product used by thousands of UK law firms, barristers' chambers, and in-house legal teams.

Problem: Civil litigation process knowledge was fragmented across static documents, making it difficult for practitioners to navigate procedural decisions efficiently.

Role: Product Specialist, Legal Knowledge Management

What I did: Designed and built the England & Wales civil litigation process into an automated decision tree. Created and validated value propositions for Panoramic, Thomson Reuters' next-generation legal workflow platform. Worked directly with solicitors, barristers, and in-house counsel.

Outcome: Reduced user retrieval time by 50% across 3,000+ classified legal queries. Contributed to 10% increase in product profitability.

Why it matters: Demonstrates rare ability to translate deep legal domain knowledge into scalable, automatable product features — the core challenge in legal technology.

Context: Global R&D tax advisory firm with operations across 6 countries, managing 25+ digital products.

Problem: Fragmented digital operations, manual workflows across sales, consulting, QA, and operations slowing claim throughput.

Role: Global Business & Digital Transformation Manager

What I did: Led enterprise-wide transformation with a 30-person cross-functional team. Mapped and redesigned end-to-end business processes. Implemented AI/ML-assisted workflow solutions. Advised C-suite on transformation strategy.

Outcome: Materially reduced manual processing overhead. Increased R&D claim throughput across global operations through AI/ML automation.

Why it matters: Shows ability to lead large-scale, cross-continental transformation programmes with tangible operational outcomes.

Context: African fintech unicorn (Series B) expanding rapidly across emerging markets.

Problem: Manual driver onboarding was a bottleneck to scaling across 9 markets and 3 continents.

Role: Senior Product Manager (embedded via Netguru)

What I did: Built and shipped self-onboarding platform from scratch. Designed AI-assisted workflows. Managed cross-functional delivery across multiple geographies.

Outcome: Saved $100k+ in operational costs over 6 months. Enabled rapid geographic expansion.

Why it matters: Proves ability to ship at scale in complex, multi-market environments with measurable cost impact.

Context: B2B SaaS company requiring sophisticated compliance infrastructure and AI-driven operational efficiency.

Problem: Regulatory complexity across KYC, GDPR/ePrivacy, SDK governance, and geolocation compliance required structured, scalable product solutions.

Role: Senior Product Manager

What I did: Designed AI workflow integration across product operations. Led compliance product delivery. Established product KPI frameworks. Mapped LLM-based automation opportunities.

Outcome: Scalable compliance infrastructure across multiple regulatory frameworks. Measurable improvement in delivery speed through AI automation.

Why it matters: Demonstrates ability to operate at the intersection of AI integration and regulatory compliance — rare and increasingly critical.