Sanjeev Azad

The second book

Notion Press · 2026

Cover of The Enterprise EPIC

The Enterprise EPIC

From Data Abundance to Decision Clarity in the AI Era

  • 356 pages · 6×9
  • 18 chapters in 9 parts
  • Paperback & hardcover
  • ISBN 9798906969040

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Notion PressPaperback & hardcover

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Your company has more data than ever. So why are the big decisions still so hard?

The book’s answer is Project EPIC, short for Evidence-led Perception, Interpretation and Counsel. It connects eleven capabilities that are usually separated across tools and teams, and each one borrows a figure from the Mahabharata. The book follows a fictional company, Enterprise K-18, as it puts them to work on a single difficult decision.

Five levels of enterprise data value

Figure 1.1

A maturity ladder for how far an enterprise has climbed. Most organisations invest heavily in the first two levels and assume the other three will follow on their own. They rarely do. Project EPIC begins at the third level.

  1. 5

    Consequence

    Did the insight change action and improve an outcome?

    Decision · ownership · intervention · learning

  2. 4

    Assurance

    Can we challenge, reproduce and defend the insight?

    Evidence · counter-stories · uncertainty · lineage

  3. 3

    InterpretationProject EPIC begins here

    Do we agree on what it means and what it can support?

    Semantics · context · questions · limitations

  4. 2

    Accessibility

    Can authorised people find and use it?

    Catalogues · permissions · self-service

  5. 1

    Accumulation

    Can we collect, store and retrieve the data?

    Volume · coverage · availability

Below the third level: where most data strategies stop

The Dharma Check scores where your enterprise stands on this ladder, in nine situations.

Project EPIC: eleven capabilities

In order of the sensemaking stage each serves

  1. 01

    Sanjaya Lens

    The remote perceiver who tells leaders what is unfolding across the field.

    Adhyaya 4
  2. 02

    Divya Drishti

    Knowing what data can and cannot honestly reveal.

    Adhyaya 5
  3. 03

    Vyasa Graph

    Restoring context, relationships and enterprise memory.

    Adhyaya 6
  4. 04

    Arjuna Inquiry

    Disciplined inquiry: asking the right question before acting.

    Adhyayas 7 and 8
  5. 05

    Sarathi Reasoner

    Guidance that advises without seizing the decision.

    Adhyaya 9
  6. 06

    Vidura Challenge

    The courage to challenge the comfortable story.

    Adhyaya 10
  7. 07

    Dharma Ledger

    Governing evidence and accountability across a decision's life.

    Adhyaya 12
  8. 08

    Vishvakarma Studio

    Designing the right representation for each question and audience.

    Adhyaya 13
  9. 09

    Bhima Actions

    Strength disciplined into bounded, accountable action.

    Adhyaya 15
  10. 10

    The Enterprise Sabha

    Coordinating many participants without dissolving responsibility.

    Adhyaya 16
  11. 11

    Karma Chakra

    Observing outcomes and feeding them back into judgement.

    Adhyaya 17

What you will find inside

Eighteen short chapters. Each one follows a fictional enterprise into a problem every organisation recognises, then shows a way through it: an architecture view for the people who build, a governance check for the people who approve, and a one-page canvas your team can use the same week.

Three of the canvases are free to download from the book's site, and readers can ask for the full set of eighteen.

Try the method first

Two free tools on the book's site. No signup, and the diagnostic runs entirely in your browser.

Coming next: the EPIC Sabha workspace

The book introduces EPIC Sabha, a companion workspace for teams that want to run the method rather than read about it: situation scanning, question graphs, evidence review, challenge, action contracts and outcome learning in one place. It is in design now.

Write to me through the contact form and you will hear when it is ready. There is no mailing list.

Who this is for

Executives deciding how AI enters their organisation. Architects and engineers who have to make it work. Data and analytics leaders who are tired of dashboards nobody trusts.

About the author. Sanjeev Azad is an AI and enterprise strategist and an advisor to CXOs. Read more

Also by Sanjeev Azad: The Value Cube, on measuring what enterprise AI is actually worth.

Get the book

The Enterprise EPIC

Eighteen short chapters, each with a one-page canvas your team can use the same week.

Notion PressPaperback & hardcover

Also at