The AI Operations Playbook
A practical operator's guide to finding the first valuable AI workflows across departments, scoring readiness, and building a 90-day rollout that survives real business constraints.
EUR 47
Price
Online
Format
80+ pages
Pages
10 department playbooks
90-day roadmap
Readiness scoring model
Who It Is For
Built for people making business decisions.
Business owners, operators, department leaders, and consultants who need a clear AI implementation path without building a full engineering team
Use the book as an operating manual for planning AI automation, selecting the right workflows, governing risk, measuring ROI, and moving from isolated pilots to a managed automation portfolio.
Business Outcomes
Score AI readiness before spending money
Prioritize the first pilots by business impact
Build a department rollout plan with owners, metrics, and review points
Reader Signal
Built for operators who need more than AI hype.
The book is positioned for executives and implementation teams who need a practical path from pilot activity to managed automation capability.
"
The useful part is the operating model. It does not sell AI as a tool purchase; it shows how to make ownership, governance, and ROI clear enough for leadership to act.
COO, mid-market services firm
"
The value map and stage-gate model make the book practical. It gives teams a way to decide what should be automated first and what should be killed before it wastes budget.
Transformation lead, B2B operations
"
This reads like a field manual for executives. The strongest sections are governance, operations, and measurement because they address what usually breaks after the demo.
CIO advisor, enterprise AI programs
Inside the Website Reader
Chapter preview.
Why AI Is a Business Problem, Not a Tech Problem
Breaks the topic into practical department workflows, owners, metrics, and rollout considerations.
The AI Readiness Framework
Breaks the topic into practical department workflows, owners, metrics, and rollout considerations.
AI for Sales
Identifies the sales workflows where AI can improve research, follow-up, proposals, pipeline quality, and forecasting.
AI for Marketing
Shows how AI changes content, segmentation, campaign testing, and conversion workflows when tied to a real strategy.
AI for Finance and Operations
Focuses on close, forecasting, reporting, reconciliation, and the finance workflows where accuracy and controls matter.
AI for Customer Success
Covers churn signals, customer health, onboarding, renewal risk, expansion opportunities, and account intelligence.
AI for Executive Leadership
Breaks the topic into practical department workflows, owners, metrics, and rollout considerations.
AI for Legal, HR, and Compliance
Defines the controls, review points, ownership, and evidence needed to use AI without creating unmanaged exposure.
Your 90-Day AI Roadmap
Breaks the topic into practical department workflows, owners, metrics, and rollout considerations.
The Future: 2026-2030
Separates durable operating principles from short-term AI hype so the system can evolve as technology changes.
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