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ENGAGEMENT · ROLLOUT

AI Engineering Operating System

This is a consulting and implementation engagement rather than a course. I assess where your teams actually are, redesign the workflows worth changing, build the shared assets that make AI stick, and leave you with a 90-day rollout plan and the standards to run it.

Updated 2026-07-28

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What you’ll learn

  • AI maturity assessment

    An honest read of where each team is, what they already pay for, and which of the current experiments are worth keeping. Usually the first surprise is how much is already being spent.

  • Workflow redesign

    Pick the handful of workflows where AI changes the economics, and redesign those. Everything else stays as it is, which is the part most consultants leave out.

  • Shared assets

    CLAUDE.md and editor rules for your repositories, a prompt library that matches your material, spec templates, and MCP connections into your own tools.

  • Standards and governance

    What is allowed, what needs review, what never goes near a model, and who decides. Written down, so adoption does not depend on individual judgement.

  • A 90-day rollout plan

    Sequenced by department with named owners, so the work continues after I leave. This is the deliverable that separates a rollout from a workshop.

Who it’s for

For companies past the experiment stage that need AI to become how the work is done.

FREQUENTLY ASKED

AI Engineering Operating System: common questions

  • How is this different from your training programmes?

    Training changes what a team knows. This changes how the work is organised: the standards, the shared assets, the governance and the sequence of who adopts what. Training is usually part of it, but it is not the deliverable.

  • Does an engagement like this actually happen, or is it a package on a page?

    It is the shape a real engagement grew into. Ten sessions with one Ahmedabad group’s IT team extended to Sales, and then to a second entity in the group. Once it reaches that point it is a rollout, and it needs standards and a plan rather than more sessions.

  • How is it priced?

    Fixed fee, scoped to the engagement, shared on a short call before you commit. No hourly billing and no subcontracting. You work with me directly.

THE ENGINEERING TRACK

What this looks like for an engineering team

Adoption across a company and adoption inside an engineering team are different problems. If your developers are the ones who need to change how they work, the hands-on track covers Claude Code, Cursor, agents and spec-driven development on your own repositories.

See the engineering track

THE ROLLOUT AROUND IT

Training is the start, not the whole job

A team that learns the tools still needs standards, a prompt library, agreed workflows and a plan for the rest of the company. That is the AI Engineering Operating System engagement: assessment, workflow redesign and a 90-day rollout rather than a set of sessions.

See the rollout engagement

PROOF

From ten IT sessions to a group-wide AI rollout

I ran ten AI training sessions for an Ahmedabad real estate group’s IT team. The work then extended to their Sales team, and a second entity in the group is now onboarding. This is what that looked like, and why it grew.

An Ahmedabad real estate group · Real estate · Ahmedabad

Read the case study

Want this for yourself or your team?

A free 30-minute discovery call is the fastest way to scope the right program. Private 1:1 or corporate, remote across India and globally, on-site in Ahmedabad.

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Not ready for a call? Start with the AI adoption readiness checklist.