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How to Build a 90 Day AI Roadmap

How to Build a 90 Day AI Roadmap

A 90 Day AI Roadmap is not a technology exercise. It is a commercial discipline.

Many mid-market firms are experimenting with AI but struggling to demonstrate measurable return. Pilots emerge in departments, tools are trialled, but cost and governance complexity increase without clear financial benefit.

A structured ninety-day plan prevents this.

Start With Financial Impact

The first step is to identify operational problems that materially affect margin, working capital, or decision speed.

Common examples include:

  • Manual invoice processing

  • Delayed month-end reporting

  • Forecasting inaccuracies

  • Customer service backlog

  • Contract review bottlenecks

Each use case should have a defined baseline, an estimated financial impact, and an executive sponsor. If the link to EBITDA is unclear, it should not proceed.

Prioritise What Can Be Delivered in One Quarter

Not every initiative belongs in a 90-day window.

Focus on contained, high-confidence opportunities that:

  • Use reliable, accessible data

  • Require limited integration complexity

  • Have clear operational ownership

  • Can demonstrate measurable improvement within twelve weeks

Governance should be addressed before deployment. A defined AI governance framework ensures data use, accountability, and oversight are controlled from the outset.

Execute With Discipline

Map the full process before introducing automation. Validate data quality early. Limit deployment to a defined function rather than attempting broad transformation.

Review performance weekly and measure outcomes, not activity.

If workflow redesign is required, structured automation support ensures stability and avoids operational disruption.

Measure and Decide

At the end of ninety days, compare performance against baseline.

Assess time saved, cost reduction, reporting speed, and risk exposure. If impact is material, develop a controlled scale plan. If not, refine or stop.

A 90 Day AI Roadmap succeeds when it produces measurable commercial value, not technical experimentation.

If your organisation is running isolated pilots or facing board pressure to define direction, a structured approach provides a practical starting point.

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