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Define your AI strategy with expert guidance: maturity audit, ROI modeling, 12-month roadmap, solution selection and AI governance implementation.
Start a projectOverview
Before deploying any AI solution, three questions must be answered: where will AI create the most value in your business? What are the prerequisites in terms of data, skills and infrastructure? And what is the realistic ROI you can expect — not marketing promises, but numbers based on your actual context? Our strategic consulting starts with an AI maturity audit that evaluates your data, processes and organization across 40 criteria. We then model the ROI for each identified use case, prioritize by impact and feasibility, and build a 12-month roadmap with measurable quarterly milestones. We also help you select the right vendors, structure AI governance (Law 09-08 compliance, ethics, bias management) and train your teams to ensure adoption.
Use Cases
We identify 5 to 10 AI use cases in your business, rank them by ROI and feasibility, then build a sequenced deployment plan — quick wins first, structural projects next.
Objectively compare AI platforms on the market (OpenAI, Google, AWS, open-source solutions) against your criteria: performance, cost, data sovereignty, support and integration with your existing stack.
Structure your AI governance framework: data usage policy (Law 09-08 compliant), model validation process, bias management and algorithmic decision documentation.
Tech stack
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Start a project40+ projects · 6 sectors · Worldwide
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