# Turn AI ambition into a sequenced business plan

Find high-value AI opportunities, assess business readiness, choose an implementation path and measure outcomes.

Canonical: https://aroai.com/solutions/ai-strategy/

## Start with work and evidence

We map a small number of real jobs, estimate volume and effort with the people doing them, review information access and systems, and select a testable first opportunity.

## What the strategy covers

- **Workflow opportunity map**: Compare frequency, impact, data readiness, variation and consequence of error.
- **Build, buy or connect**: Select models, clients, integrations, MCP tools and human review based on the job.
- **Investment and sequence**: Separate a first pilot from later data, system and operating-model work.
- **Outcome measures**: Agree how to compare time, rework, response speed or service quality before and after.

## A roadmap your team can own

The result is a prioritised plan with an accountable sponsor, pilot scope, dependencies, staff learning, operating controls and next decision. Strategy should lead to a small experiment instead of an open-ended AI programme.