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AI Adoption Strategy

AI roadmap: which use cases to prioritize, which tools to adopt, what to build in-house. Aligned with your business goals, not the latest buzz.

3 to 6 weeks Executive leadership, CTO, CDO

What you get

AI use case mapping by business unit, prioritized by impact and feasibility

Documented build vs buy decisions for each identified project

12-month AI roadmap with quarterly milestones and budget forecast

AI governance plan: committees, KPIs, tool validation processes

Industry benchmark: what your competitors are doing and where you can gain an edge

The approach

Diagnosis

Stakeholder interviews. Analysis of existing technical and organizational landscape. Industry benchmark.

Vision & trade-offs

Target AI vision definition. Build vs buy analysis. Use case prioritization by business value and feasibility.

Roadmap

Detailed roadmap construction. Resource and budget estimation. Governance definition.

Launch & follow-up

Support for launching initial AI workstreams. Setting up tracking and KPIs.

Investment

Pricing on request. Every engagement is quoted on a bespoke basis. Contact us for a quote adapted to your context.

Frequently asked questions

What's the difference between an audit and an adoption strategy? +

The audit diagnoses your current AI maturity (1-2 weeks). The adoption strategy goes further: it builds the complete roadmap with build vs buy decisions, governance, and budget forecast (3-6 weeks).

How do you measure the ROI of an AI project? +

We model costs (infrastructure, licenses, integration, training) and gains (time saved, quality, timelines). Each use case gets a business case with 3 scenarios: optimistic, realistic, conservative.

Does the strategy include deployment? +

The strategy produces the roadmap and trade-offs. Deployment is a next step that can be supported separately. We size the required resources in the strategy.

Discuss your project

First call is free. Your needs are assessed in detail.

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