AI is transforming how businesses operate , but there’s a blind spot many organisations are missing.

What happens when your third parties use AI to process, store or transfer your data?

I help organisations close that gap.

I’ve developed practical AI Third-Party Risk tools, processes and governance frameworks that give businesses greater visibility and control over how their data is handled across their external ecosystem.

Your risk doesn’t stop at your organisation’s firewall. Neither should your governance.

If you're looking to strengthen your AI, Third-Party Risk, GRC or data governance, let’s connect.

Important point. As businesses increasingly rely on AI tools and external platforms, understanding where data goes and how it is handled becomes just as important as the efficiency AI provides.

●  Redefined the firm's data architecture by building Amicus Hub, a company-wide database organising all client, company and internal data, with an Action Tracker monitoring every live engagement. ●  Built an automation stack increasing efficiency across the firm's core workflows: ○  Pitch Deck Automation: cleans data, runs financial analysis and generates client decks. 2-3 hours down to 15-20 minutes. ○  Monthly MIS Drafter: cross-references engagement letters and prior reports to draft new ones. 40-50% less manual effort. ○  Automation Opportunity Scanner: surfaces client AI automation opportunities, now sold as a managed transformation service. ●  Built the outbound engine: 1,200 targeted logistics prospects, financials on 400+, distilled to a 70-name priority shortlist.

Impressive stack. One thing that makes or breaks a firm-wide hub like this: data ownership. A central DB only stays current if every record type has a named owner and a defined update cadence — otherwise the tracker starts flagging stale engagements and people stop trusting it....