A product story / 01
MeeTaker AI
enterprise meeting intelligence.
I led the design and scale-up of an AI-powered platform created to address a persistent enterprise issue: critical decisions and institutional knowledge are routinely lost in meetings. The system was built to capture, structure, and operationalize meeting intelligence for distributed teams, while meeting enterprise expectations around privacy, security, and compliance. The emphasis was on durability and adoption—not novelty.
The premise
Meetings are
an asset.
Critical decisions and institutional knowledge are routinely lost in meetings. MeeTaker AI was built to make that loss avoidable: capture what matters, structure it, and turn it into operational momentum.
The emphasis was on durability and adoption—not novelty. Security and governance were part of the product from the outset.
Built into the system
Three decisions
that matter.
Designing AI systems for sustained operational use
Treating knowledge capture as an enterprise asset
Embedding security and governance from the outset
The wider operating context
Where it lives
MeeTaker AI
I led the design and scale-up of an AI-powered platform created to address a persistent enterprise issue: critical decisions and institutional knowledge are routinely lost in meetings. The system captures, structures, and operationalizes meeting intelligence for distributed teams.
AI systems designed for sustained operational use
Knowledge capture treated as an enterprise asset
Security and governance embedded from the outset
Microsoft Teams native integration
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