A 2–4 week, fixed-scope assessment that answers the only question that matters: where does AI create real ROI in your workflows and your codebase — and where is it expensive noise?
They’re written from market pressure, not operational reality. Slideware about “AI transformation” that never touches the actual systems, data, or team. Six months later there’s a pilot graveyard and a skeptical board. A real strategy starts from what you have.
Where hours are actually burned, and which of those hours AI can genuinely reclaim.
What’s technically feasible today vs. what requires foundation work first.
The security and IP liabilities of AI adoption — including AI-generated code already inside your product that nobody has reviewed.
A grounded, sequenced AI roadmap: quick wins with measurable ROI, the foundation investments worth making, the initiatives to explicitly not do, and a narrative for your board that sounds like leadership instead of fear of missing out.
“Working with them felt like having a senior product team embedded with us. The attention to detail in every component was remarkable.”
Product lead at SaaS co.
Even better — we’ll tell you which ones to double down on and which to kill.
Only if the assessment finds one worth building. The assessment’s value is that it’s honest either way.