Case studies from the messy middle of AI & enterprise.
- 01
AI-Powered Salesforce Product Suite
Own product strategy and roadmap for three internal AI tools — conception through deployment. Architect GenAI integration patterns including automated case summarisation, sentiment-based escalation, and meeting-to-CRM workflow automation.
Product OwnerGenAISalesforceStrategy$15K direct product revenue - 02
American Express TLS Central Programme
Ran the Scrum cadence — planning, refinement, standups, retros — across 20+ sprints on a multi-quarter enterprise programme. Held velocity steady, surfaced and cleared blockers, and kept the backlog honest about what could actually ship each sprint.
Scrum MasterAgileEnterprise20+ sprints · 12+ months - 03
Confluence → SharePoint Enterprise Migration
Owned the full UAT cycle for an enterprise-scale knowledge migration. Defined the test plan, drove issue triage, and built the training material that shipped alongside the cut-over.
UATMigrationEnterprise100% data integrity · −30% training time - 04
Documentation & Delivery Framework
Rolled out a BRD / FRD / user-story framework across concurrent client workstreams. Cleaned up the artefacts product and engineering hand back and forth — and the variance that came with them.
ProcessDeliveryCoaching+29% delivery accuracy
Full case studies — discovery decks, BRDs, sprint artefacts — available on request.
For senior product owner roles, advisory work, or interesting problems at the AI-meets-enterprise intersection. I read everything; I reply to most.
Claude