AI Readiness & Strategy

The pilot graveyard

Every enterprise now owns a few: impressive demos that never met production. The pattern is constant — the pilot bypassed the real data (messy), the real security constraints (strict), and the real process (political). Readiness work is the unglamorous act of removing those three bypasses before serious money moves.

What we assess

• Data. Where it is, what state it is in, who may use it for what — because the model is never better than the data path feeding it.
• Security. What can leave the building, what must not, and the controls that make the difference enforceable rather than aspirational.
• Process. Which workflows can absorb probabilistic output, which need humans in the loop, and which should not be touched at all.
• Economics. Token bills scale like cloud bills. We cost the target state before you are surprised by it — the FinOps instinct applied to inference.

Then, strategy

Once readiness is mapped, strategy stops being a vision slide and becomes a sequence: use cases ranked by value against readiness gaps, quick wins that fund the structural work, and a governance line that compliance signs rather than tolerates. This is the same dimension the 180-tier audit covers — this engagement is that dimension at full depth.