A searchable application inventory, an AI governance policy and a four-phase roadmap gave Tokio Marine a clear path from discovery to execution.
- To a delivered roadmap
- 2 weeks
- Legacy systems mapped
- 28
- Technology decisions made
- 13
- Typical discovery timeline
- 4-6 months
The challenge
Before deciding where to use AI, Tokio Marine needed a clear picture of the systems it already ran. That meant understanding how its applications fitted together and which technology decisions would shape the work ahead.
Building that inventory and agreeing a direction would typically take four to six months. The team needed a plan it could act on sooner.
What we built
In a two-week engagement, Parallel Loop brought the application estate, architecture decisions and AI adoption plan together.
- Mapped 28 legacy systems into an enterprise application inventory.
- Created an architecture document that teams can query with AI.
- Developed an architecture blueprint and roadmap to the future state.
- Established an AI governance policy to guide adoption.
- Resolved 13 technology stack decisions as part of the work.
The impact
Tokio Marine finished the engagement with a defined AI strategy and a four-phase execution roadmap. The application inventory and future-state architecture gave that plan a concrete foundation.
- Discovery and planning completed in two weeks, against a typical four to six months.
- One searchable view of the application estate to support future decisions.
- A clear sequence of work that moved the strategy conversation towards execution.