From enterprise AI pilot to global launch
- Client context
- Global pharmaceutical enterprise
- My role
- Implementation Manager
- Scope
- 12-month pilot · 60 power users · 9 client workstreams · 6 internal teams
Delivered during employment.
I led the implementation process: onboarding, delivery planning, requirements coordination, phased rollout, training and stakeholder communication.
The pilot met its success criteria and progressed to a global launch for 20,000 users.
20,000 describes launch scope, not a measured active-user count.Working through the delivery constraints
The client was evaluating an AI-powered scientific-literature platform under licensed-content constraints. I structured the pilot around incremental delivery and feedback, with demonstrations, workshops, Q&A and train-the-trainer sessions.
When the AI capability fell short of expectations, I brought the client’s requirements together with Product, the business unit and Engineering. We agreed what could be delivered within the content constraints and shortened the QA and demonstration cycle so the client could assess working software.
The July 2026 launch date was maintained. The implementation approach, tracking framework and presentation materials became reusable assets for colleagues. My responsibility was implementation and cross-functional delivery, not model development.