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Orchestrating Enterprise Value: A CIO Leadership Guide to Governing AI, Agents, and Enterprise Decisions at Scale

by Srinivas Mahankali
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Current price ₹2,162.00
Original price ₹2,403.00
Original price ₹2,403.00
Original price ₹2,403.00
(-10%)
₹2,162.00
Current price ₹2,162.00

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Book cover type: Hardcover
  • ISBN13: 9798902960362
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Notion Press
  • Publisher Imprint: Notion Press
  • Publication Date:
  • Pages: 178
  • Original Price: GBP 18.99
  • Language: English
  • Edition: N/A
  • Item Weight: 409 grams
  • BISAC Subject(s): Automation

As artificial intelligence moves from analysis to action, enterprises face a quiet but profound shift: decisions are no longer made solely by humans, yet accountability still rests with leadership. Orchestrating Enterprise Value addresses this inflection point with clarity, realism, and authority.

Written by a seasoned CIO and practitioner, It is about how value, power, and responsibility must be governed when intelligence becomes autonomous. Grounded in real enterprise situations and Boardroom dynamics, it reframes the CIO role-from managing technology to orchestrating enterprise decisions and outcomes at scale. Book examines:

Why many AI initiatives fail to deliver value despite technical success

How unclear decision rights and fragmented governance create hidden risk

What Boards need to see to trust AI-driven execution

How to design administrable control planes that govern autonomy in real time

How to connect AI adoption to measurable value, accountability, and ROI

Deploy frameworks like a Board-ready CIO operating model, a practical AI value and risk diagnostic, and a blueprint for governing innovative agentic systems.

For CIOs, it offers a credible operating model to remain relevant and trusted.

For CEOs and Boards, it provides assurance that intelligence can scale without eroding control.

For founders, it is a guide to building autonomy responsibly.

This is a book about leadership when intelligence acts-and about remaining accountable in the age of Agentic AI.

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