Book · Kindle edition · 2025
Augmented Intelligence: Building Intelligent Decision Systems
From data and AI to real decisions for leaders and practitioners
by Johan Setiawan
About the book
Decisions, not dashboards
Most organisations do not lack data. What they suffer from is broken decisions. Dashboards multiply and AI pilots appear everywhere, yet critical calls are still made in email threads, chat groups and rushed meetings, with inconsistent judgement, slow responses and systems nobody fully trusts.
Augmented Intelligence shows how to move beyond reports and isolated models toward intelligent decision systems: end-to-end pipelines in which data, analytics, AI and human judgement work together to shape real decisions at scale. Drawing on teaching, research and hands-on projects in AI and decision support, the book lays out a practical architecture for the “self-driving enterprise” without taking humans out of the loop.
The goal is not to replace people but to scale their judgement, so that decisions become smarter, faster and more humane at the same time.
What you will learn
From diagnosis to deployment
- Diagnose why decisions fail even when you “have the data”
- Turn messy data into a lakehouse that actually serves decision-makers
- Design prediction, optimisation and simulation that tie directly to business outcomes
- Use generative AI as a decision partner, not just a content generator
- Open the “black box” with explainable AI (XAI) and build trust with regulators and customers
- Design interfaces that reduce cognitive load so humans and AI can truly collaborate
- Set guardrails for ethics, bias and governance so automation stays safe and fair
- Move from recommendation engines to autonomous agents that act within clear constraints
What’s inside
Ten chapters
- The Evolution of Decision Making
- The Data Ecosystem
- From Analytics to AI
- The Engines of Choice: Machine Learning
- Optimization and Simulation
- Generative AI as a Partner
- The Black Box Problem: Explainable AI
- Designing the Interface
- Ethics, Bias and Governance
- The Future: Autonomous Agents
Who it is for
Where business meets technology
Written for executives, product owners, data and AI practitioners, UX and transformation leaders, and advanced students. You do not need to be a data scientist to use it.
Every chapter ends with an Implementation Layer that turns ideas into concrete checklists and Monday-morning actions for different roles.
| Format | Kindle e-book |
| Length | 163 pages |
| Published | 2 December 2025 |
| Language | English |
| ASIN | B0G4NS4Y2N |
About the author
Johan Setiawan
Johan Setiawan is a Senior Lecturer in Information Systems at Universitas Multimedia Nusantara and a doctoral candidate in the Doctor of Research in Management programme at BINUS Business School. He has taught information systems since 1990 and researches decision support, data visualisation and the responsible use of AI.