AI consulting
AI consulting worldwide for roadmaps that ship.
The board asked for an AI strategy. The big-firm deck ends where the real questions start: what exactly do we build, with whose data, and who runs it?
Our consulting is built backward from shipping. We assess readiness against what production actually requires: data, integrations, compliance, team. We prioritize use cases by measurable value, not novelty. And because the same team builds and operates AI systems every week, the roadmap comes with real constraints, real owners, and a first pilot scoped to prove value fast.
What you get
- AI readiness assessment: data, systems, team, compliance
- Use-case portfolio scored by value, feasibility and risk
- Execution roadmap with owners and priorities
- Build-vs-buy calls with total-cost honesty
- Governance: evals, guardrails and audit from day one
- First pilot scoped and, if you choose, built by us
How it runs
Listen
Founders, operators and your data. What the business is trying to win, in your words.
Assess
Readiness against production reality: data quality, integrations, compliance exposure, team capacity.
Prioritize
A scored use-case portfolio. Two or three bets worth making, and the ones to skip, with reasons.
Commit
A roadmap your team can execute, a scoped first pilot, and an honest read on effort if you want us to build it.
From our production work
- Roadmaps grounded in systems we run in production today, across ten industries.
- Honest no-go calls: we have told clients not to build, and why.
- Every recommendation carries an owner and a number it has to beat.
How is this different from a big consulting firm?
We build and operate AI systems every week, so the advice is grounded in production reality. The deliverable is an executable roadmap with a scoped first pilot, not a vision deck. And the team that wrote it will build it if you want, without big-firm theater.
We already have an AI strategy. What now?
Then you need the execution audit: is the data ready, are the use cases scoped to value, does governance exist beyond a policy PDF? We pressure-test the strategy against production requirements and turn it into a delivery plan.
Do you do AI governance and compliance advisory?
Yes: practical governance aligned to NIST AI RMF thinking and India's DPDP Act, GDPR and HIPAA obligations. Evals, guardrails, audit trails and human oversight designed into the systems, not appended as policy.
What if the answer is that we should not build anything yet?
Then that is the report. A clear no with reasons and prerequisites is worth more than a stalled pilot. We would rather earn the build later than sell it early.
Bring us the workflow. Leave with a plan.
One call. We will tell you honestly what AI can and cannot do about it, and what it costs to find out.