ENTERPRISE AI TRAINING
AI for Leadership
For founders, CTOs, CXOs, tech leads
A half-day executive briefing for the people deciding where the company is going. We map your business to the AI surface area — where new revenue is hiding, where market cap is at risk, what to build before competitors do. Every candidate feature gets scored on Profitability and Validation before you spend an engineer-week. No laptops, no demos, just decisions you can put in a board deck on Monday.
Two ways leadership is responding to AI right now.
Reactive
Tooling-led: "buy everyone Copilot, see what happens". AI roadmap = whatever vendors pitch. Use cases discovered bottom-up, one Slack thread at a time. Result: productivity gain, no moat. Competitor ships an AI feature, you scramble.
Strategic
Map the business: where is data dense, where are decisions slow, where do customers wait? Score each as: AI feature, AI workflow, or AI product. Pick three — by reward, defensibility, time-to-ship. Result: a roadmap defensible against the next pivot. You ship the AI feature your competitor was going to.
Productivity buys you the budget. Strategy decides what you do with it.
WHAT WE MOVE FOR YOUR TEAM
This workshop's Profitability and Validation axes.
Scored pre-build, pre-spend, pre-commit — every candidate feature, every meeting.
Profitability axes
Scored before you spend an engineer-week.
UX lift ↑
Quantified user-experience improvement on the candidate feature, measured against your existing UX — not vendor demos.
Build + run cost ↓
Engineer-weeks to ship + per-request infra cost in production, both scoped before commitment — not discovered after launch.
Net ROI ↑
Does the feature pay for itself in Q1? If you'd need a discount to make it profitable, the idea was bad or the build was wrong.
Validation axes
Test fast — only validated bets get greenlit.
Time-to-validate ↓
Test an AI feature idea in days, not months. The bottleneck stops being engineering and becomes deciding.
Kill rate ↑
Most candidate ideas die before any code is written. A 0% kill rate means you're building everything regardless of validation.
WHAT YOU’LL TAKE HOME
- A map of your business with AI opportunities scored by risk and reward
- Three AI bets ranked: feature, workflow, product
- A defensibility check — what's your moat once everyone has the same model
- A 30/60/90-day adoption plan to put in front of the board
- Clarity on hiring, build vs buy, and where to defend market cap
Take home: a use-case map for your business, a strategic 1-pager, a 30/60/90-day plan.
WHO TEACHES THIS
Ajinkya Kolhe
CTO
11 years in AI — from Google Cloud to IIT Bombay to Morgan Stanley. 300,000+ developers across 7+ countries. Built the SIRA risk framework and the live Pulse dashboard. 2x TedX Speaker.
Half day. 3–8 executives. On-site preferred for whiteboarding; remote possible. Single leadership team per session.
Mail ajinkya.kolhe@purnamedha.ai for team details.
Request a session for your leadership team