Analytical book
AI-Augmented Delivery
It chooses structure: a map of the system, concepts, measures and consequences.
HomeAI-Augmented
The same thesis.
Two perspectives.
One book maps the system. The other tells the same story through people, decisions and costs. Choose the form that best fits the way you read.
The question shared by both books
Can AI help us learn faster what is worth doing — and what we should not do?
DELIVERY
PRODUCT LOOP
The same thesis.
A different path through the content.
Book excerpt
See the thesis in brief.
Read the Foreword by John Coleman, the Author's Preface, the Introduction and Chapter 0 — “Book in a Pill”, which explains and summarizes the thesis of the book.
Notes on reality
The same topic. Two ways to read it.
- AI-Augmented Delivery and AI-Augmented Product Loop ask the same question: what happens to work, decisions, knowledge and accountability when AI accelerates only one part of the system?
- Each book presents the same content in a different form — for a different way of reading.
- You can choose one book or read both — neither is a commentary on the other.
Business novel
AI-Augmented Product Loop
It chooses a story: people, decisions, pressure and learning at work.
01
Analytical book
AI-Augmented Delivery
Data, measures and Evidence-Based Management
Baseline first. Then the story of the outcome.
Separating activity, delivery and value prevents us from declaring success based on one local measure.
- Flow
- What are we actually shortening?
- Quality
- Which condition must remain true?
- Learning
- What will we learn from the experiment?
Business novel
AI-Augmented Product Loop
Part I: Decision before the question / “Ninety days”
“I want a visible result in ninety days.”
Maja is given a mandate to lead the experiment, but not yet an answer to who can stop it when the first number looks good.
Orchas System, the “AI everywhere” program02
Analytical book
AI-Augmented Delivery
Local loops and the cost of bad loops
Accelerating one stage can enlarge a queue somewhere else.
The system must be observed as a whole: from signal, through decision, to outcome and the next feedback.
- Measure
- Shows one slice of behaviour.
- Countermeasure
- Shows the side effect.
- System
- Connects both signals into a decision.
Business novel
AI-Augmented Product Loop
Part II: Bottleneck cascade / “Twice as fast”
“The team's result is the decision that one group was too broad.”
The tool accelerates signal grouping, but the team discovers that similar words do not always mean the same problem. A faster first step creates additional verification work.
A local result does not close the whole loop03
Analytical book
AI-Augmented Delivery
Learning, decision trails and the Knowledge Graph
Organizational learning means improving the quality of the next decision.
An automatic summary is not yet organizational memory. Memory requires sources, context, a decision trail and the ability to challenge the result.
- Source
- Where does the signal come from?
- Trail
- What was accepted or rejected?
- Learning
- What will we change next time?
Business novel
AI-Augmented Product Loop
Part III: Losing knowledge / “Empty space”
“We remember the result. Not the path.”
At Orchas, answers are increasingly easy to reproduce, while the sources, exceptions and corrections behind a decision become harder to identify.
An empty field is not a formatting problem04
Analytical book
AI-Augmented Delivery
Transformation and the boundaries of accountability
Autonomy starts with boundaries, not an “automate” button.
Governance, quality gates, auditability and rollback allow AI use to expand without blurring accountability.
- Owner
- Who has the mandate to decide?
- Boundary
- What does the system not do?
- Rollback
- How do we return to a safe state?
Business novel
AI-Augmented Product Loop
Part VI: The return of the decision / “Do not automate”
“The first document is a condition for the conversation.”
The team does not launch another experiment until it has an owner, sources, a boundary and a question. Not starting can also be the result of an experiment.
Stopping is not the opposite of deliveryPresentation of both books
Choose the form that feels closer to you.
You can receive the same topic as an analysis or a story. Neither book is a “better version”.
System map
AI-Augmented Delivery
Why AI changes the character of the loop, not just the pace of work
An analytical book about discovery, planning, building, verification, delivery, observation, learning and the boundaries of responsible AI use.
- Flow, Quality, Learning
- Evidence-Based Management
- measures, loops and governance
Amazon.com
The first book available
Paperback price
$22
Hardback price
$26
Buy on Amazon.comopen listing↗
System story
AI-Augmented Product Loop
A business novel about decisions, knowledge and learning in the age of AI
The story of Maja and the Orchas System team, which launches the “AI everywhere” programme and discovers the cost of acceleration without a full map of accountability.
- decisions under pressure
- bottlenecks and lost knowledge
- boundaries of automation
Amazon.pl
Paperback release
Paperback price
to be determined
Available from October 1
A shared filter
Don’t ask only whether it is faster.
Both books return to three questions that help distinguish movement from improvement.
Flow
Are we shortening the path from signal to decision, or only moving the queue?
Quality
Are we protecting the quality of decisions and the system that must work under pressure?
Learning
Will the next decision be better because of what we learned now?
How the two books came to be
One book grew until it had to become two.
This story did not begin with AI. The book had been taking shape for a long time — first it was meant to be about an organization's move towards business agility. Before it was finished, the subject moved on: to automation, data and business processes. In the end, it became a book about AI that also contains the earlier material.
For a long time, it was one manuscript: the academic part named the mechanisms, while the novel let readers see them in the characters' decisions. Eventually both strands grew beyond the sensible size of a single book.
Splitting them became more than shortening the text. The analysis could become a map, while the liberated story gained its own pace, dynamics and additional threads.
Transformation towards business agility
the manuscript's first direction
Transformation towards automation, data and processes
the subject moved on before the book was finished
Transformation towards AI
a new version that contains the earlier material
ONE MANUSCRIPT
Academic content woven together with a novel.
Both ways of presenting the content grew beyond the sensible size of one book.
ONE MANUSCRIPT
TWO WAYS OF PRESENTING
Map
AI-Augmented Delivery
arguments, concepts, measures and consequences
Story
AI-Augmented Product Loop
people, decisions, dynamics and additional threads
Questions that may come up
You do not have to start with the whole book.
Start with the question that is already returning in your organization today.
Are these two different books about the same thing?
Yes. One organizes the topic through analysis and models; the other shows the same tensions through plot, decisions and relationships.
Which book should I start with?
Start with the form that matches how you read: a map or a story. You can also read both, but neither is a supplement to the other.
Is Orchas System a real company?
No. It is a fictional company created to show mechanisms and experiences shared by many organizations.
Is the analytical book a catalogue of AI tools?
No. Tools matter, but the main subject remains decision loops, quality, accountability and learning across the whole system.
Choose your path
Go to the book you want to start with.
One organizes the topic; the other takes you through it as a story. Choose the form, then move on to the edition details.