ENTERPRISE AI TRAINING
AI for Everyone
For product, ops, HR, sales, analysts
A one-day workshop for the people who actually do the work — product, analysts, HR, ops, sales, support. We install AI the way your company already works: one workspace per real workstream, context loaded once, shared across the team, used every day. Pick the ecosystem you already run on — Claude or Gemini.
The same task. Two workflows.
AI as a chatbot
Fresh chat → paste brief → paste spreadsheet → paste style guide → ask question → reasonable draft → close tab. Tomorrow: start over. Your teammate can't see any of it.
AI in your project workspace
Brief, spreadsheet, style guide, plus connectors to your stack — loaded once. "Draft the Q2 update using the template." → AI already knows the template, the tone, the numbers, the audience. First draft is on-brand. Tomorrow: same workspace. Next week: your teammate opens it and picks up where you stopped.
Chats are transient. Workspaces are how your company actually works.
PICK YOUR STACK
Which ecosystem are you on?
Apps you’ll use
- Claude Projects
- Artifacts
- Co-Work
- Claude Code on local files
- Custom Skills
Integrations
- Anthropic API
- GitHub
- Notion
- Custom workflows via MCP
A day in the life
Before: Sneha, an ops lead, opens a fresh Claude tab every morning. Pastes the same brief. Pastes the latest numbers. Re-explains the tone. Gets a draft. Closes the tab. Tomorrow, starts over.
After: Sneha opens the 'Q2 ops review' Project. The brief, last quarter's numbers, the template, and the style guide are already loaded. 'Draft the update.' On-brand first draft in 30 seconds. Her teammate opens the same Project on Tuesday and continues where she stopped.
WHAT YOU’LL TAKE HOME
- A workspace per workstream — context loaded once, shared
- Team drafting and review patterns that survive turnover
- AI on local files — briefs, specs, contracts
- One reusable custom workflow for a repeat task
- A surface-selection matrix — chat, workspace, co-work, code
Take home: a workspace template, a custom workflow, a surface-selection cheatsheet.
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.
On-site or remote. Up to 20 attendees. Private team bookings; public cohorts on request. Duration scoped per engagement.
Mail ajinkya.kolhe@purnamedha.ai for team details.
Request dates for your team