12-18%
30-day productivity lift target
Measured on agreed workflows: drafts completed, tickets closed, cycle time, or manager-approved output.
4-8w
Agentic operating shift
Teams move from asking questions to delegating goals, checkpoints, evidence, and approved results.
2.0-2.5x
repeatable-work capacity target
Six-month digital-twin track for mapped recurring decisions, templates, tone, and SOP execution.
What the company buys
A role-by-role transformation program, not a lecture. Every participant leaves with usable AI workflows for their real work.
- AI orientation by function: HR, finance, sales, operations, legal, IT, and leadership.
- Prompt-to-agent training: define goals, constraints, checks, and approval gates.
- Digital-twin buildout: capture role memory, decision logic, examples, templates, and escalation rules.
What changes in 30 days
We pick real work, measure the baseline, then compare before and after.
- More first drafts completed without waiting for senior bandwidth.
- Shorter cycles from intent to approved output.
- Repeatable quality through examples, rubrics, and checklists.
- Managers see evidence, not enthusiasm reports.
1. AI Orientation
Every role learns practical AI use on its own workflows.
2. Agentic Work
Work moves from question-answer to goal-result loops.
3. Digital Twins
Role context, judgment, and SOPs become reusable AI memory.
4. Virtual Org
Selected roles become monitored virtual seats with identity and accountability.
Why do it?
Manual first drafts are now a tax. Your team should not spend senior time creating what AI can create first.
Why now?
AI will not take the job. People and companies adopting AI before you will take the margin, speed, and promotion.
Why Sourav?
He combines C-suite operating depth, RACI/accountability systems, and the discipline to turn AI use into measurable work.