GROWAILAB · AI ROADMAP

AI Roadmap: A 90-Day Plan for Practical Implementation

A useful AI roadmap is a sequence of accountable decisions, not a backlog of interesting tools.

Build an AI roadmap that sequences business priorities, prerequisites, governance, implementation and measurement instead of listing disconnected ideas.

01

What is an AI roadmap?

An AI roadmap turns opportunity assessment into a time-bound sequence of priorities, dependencies, owners and evidence.

02

When should a business use an AI roadmap?

Use one when there are more plausible AI initiatives than the business can responsibly execute at once.

03

How does GrowAILab approach an AI roadmap?

Prioritize by business consequence, process readiness, risk, dependency and ability to measure. Put prerequisite process fixes before automation work.

04

What governance and human control does an AI roadmap need?

For each roadmap item, define the accountable owner, required approvals, access boundaries and escalation route.

05

How should an AI roadmap be measured?

Use a 90-day horizon to make priorities concrete, then review actual implementation evidence and reprioritize instead of treating the roadmap as fixed.

QUESTIONS

Common questions

What should an AI roadmap include?

Business problem, owner, priority, prerequisite, solution route, governance/control needs, measurement and timing.

Why 90 days?

A 90-day horizon is long enough to sequence meaningful work but short enough to revise as evidence changes.

Should every AI opportunity go on the roadmap?

No. A strong roadmap also records what not to implement yet and why.

START WITH THE DIAGNOSTIC

Find the ownership gaps before you add another AI tool.

The AI Ownership Scorecard identifies gaps across ownership, strategy, process, adoption, governance and measurement.

Take the AI Ownership Scorecard