STAGE 01 / 06
Assessment
Most AI programs fail in their first ninety days because they begin from ambition, not diagnosis. Assessment opens the delivery with an evidence-based picture of where the organization stands across capability, data foundations, and governance posture. Every finding is anchored to systems and controls that can be produced on demand. Against that baseline, it identifies the few initiatives worth funding and closes with an ROI map before any code is written or infrastructure procured. Capital then commits phase by phase, against evidence rather than enthusiasm.
How it runs
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What this stage establishes
An evidence-based picture of where the organization actually stands across capabilities, data foundations, and governance posture. Every finding is anchored to a system, dataset, or executed control produced on demand.
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How it runs
On your floor, against your real systems. The On-Site AI Architect establishes the baseline where the work happens and ranks surviving bets by effort, risk, and payback. Precondition work is written down before any build commitment.
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What it sets aside
Bets that read well on a slide but lack a data path, sponsor, or measurable return are set aside here. The reason is documented before budget is spent.
Stage exit evidence
Served verticals
Assessment opens the delivery across our three served verticals: Legal, Finance, and Technology. Every diagnosis, evaluated initiative, and ROI estimate is grounded in a specific vertical's regulatory and data reality rather than in the abstract.