For Owners · Leadership Literacy
Grow, don't Chase.
AIA Engineering | Ahmedabad | May 2026
Level 1
AI is an IT line item. Hasn't opened a model this month. Vendors set the agenda by default.
Level 2
Has seen what AI can do. Uses it occasionally for an email or a search. Doesn't lead a deployment.
Level 3
Has favourite prompts for the job. Uses AI daily. Pushes their function to adopt what works.
Level 4
Asks "what can only AIA build?" Sees the moat in the data. Sets build-vs-buy from first principles.
Spectator → Tourist → Operator → Architect
Story 01
$2 billion saved. / Seven years. / Leadership-first.
In 2018, Tata Steel had no public AI footprint. The board made AI a personal priority. That one decision is what produced the numbers above.
Story 02 · Two playbooks closer to home
The shop-floor play
Sensors plus ML on equipment you already own.
The boardroom play
A single AI command centre across the group.
Shop floor or boardroom. Both demand an Architect at the top.
About AI, in the context of their own business. With principles that hold up as the tools change.
What to deploy.
What to ignore.
Where it fits.
Where it doesn't.
15 principles to get the most out of AI.
SOPs become AI playbooks.
Best playbooks spread company-wide.
Synthetic environments for strategy and training.