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A staged discipline for leaders of traditional businesses

Cultivated AI

Grow, don't Chase.

Cultivated AI is a four-stage discipline taught to leaders of traditional businesses. The flagship is a six-session programme that takes a cohort of up to fifteen leaders through Approach, Distillation, and Compounding. Mature practitioners graduate to Simulation — using AI to rehearse strategy in synthetic environments their competitors cannot build.

The four stages

Stage 1 Approach Fifteen principles for getting the most out of AI. The leader stops chasing tools.
Stage 2 Distillation What's been between the leader's ears for years now runs as agentic AI playbooks — their work, in their voice, at scale. The technical term is agentic skills.
Stage 3 Compounding The best playbooks move from one leader to the cohort, then to the rest of the company. The best of the company becomes the floor of every desk.
Stage 4 Simulation Synthetic AI environments for strategy, preparation, and training — for the leader and for the team. Things competitors cannot do at all.

Stages 1–3 · The Programme · Stage 4 · Graduation engagement

The Cultivated AI Programme.

The flagship engagement. Stages 1–3, delivered in a six-session cohort.

Format Six sessions, two hours each, over six weeks.

Cohort Up to fifteen leaders from the same company.

Coverage Stages 1–3: Approach, Distillation, Compounding.

Delivery On-site or hybrid. Customised to your sector.

Facilitation Shalin Shodhan leads every session.

Outcome Each leader leaves with a working playbook library.

Each leader walks out with two artefacts

Their Playbook Library

Four to six working AI playbooks built from their own SOPs, in production-ready form. Their work, running in their way.

The 90-Day Cultivated AI Plan

A personalised plan governing the first 90 days of cultivation. The discipline is years; the cadence is 90 days.

After the Programme · optional engagements

Compound now

90-Day Advisory

Sponsor coaching. Day-30 and day-90 reviews. Written outcomes summary.

Stage 4

Simulation

Custom synthetic environments for strategy, preparation, and training — for the leader and for their team.

What this looks like in practice.

Two real-world anchors. Two failure modes. One founder thesis.

The peer signal · what real adoption looks like

Distillation in practice

Bajaj Finance

₹1,600 cr disbursed. ~1,500 agents replaced.

AI voice agents on a single, high-revenue workflow. ₹1,600 crore disbursed in a single quarter (Q3 FY26). ~30% cost savings on the function. An Indian NBFC, in your market, doing this now.

Adoption at scale

NBIM

213,000 hrs/year. 600+ staff using Claude.

The world's largest sovereign wealth fund (~$2.1T AUM). Claude deployed seriously, on their terms.

"If you don't use it, you will never be promoted."

— Nicolai Tangen, CEO

The two failure modes

Under-adoption

Microsoft Copilot

Gartner: ~40% of enterprises piloting, only ~5% scaled. Tens of millions of paid seats. Most sit unused.

Over-replacement

Klarna

2024: replaced customer service with AI. May 2025: walked it back. Now hybrid: AI handles routine, humans handle empathy.

The founder thesis

AI adoption is a pipeline problem. For twenty years Shalin has built the production pipelines behind the world's biggest entertainment products at Pixar, EA, Lumosity, and Masala Games. What he has learnt is that resilient pipelines are built by cultivating the approach, not chasing technology.

Pixar · 3 Academy Awards EA Spore · BAFTA Lumosity Masala Games · Founder Carnegie Mellon · MET Talking to Machines · Author

One next step →

Cultivated AI. Grow, don't Chase.

A 30-minute scoping conversation shalin@masalagames.com