· 5 min
From AI productivity to economic value
An engineering team reports that AI made part of its work faster. What can the organisation legitimately conclude from that?
Technology Transformation Executive
Technology and AI leadership, from investment decision to measured result.
I lead how technology and AI investment is decided, carry those decisions into everyday work, and check whether the intended benefits arrive.
Roman Lobus
Singapore · working across Asia-Pacific and Australia
20+ years · aviation, financial services, mining, energy
- Speaker 3× keynote, Regional Scrum Gathering Singapore
- Author Two books with Apress
- Flow Observatory where delivery work actually waits
Selected work
Four decisions, one operating model.
- Benefit ownershipbenefit evidence →Portfolio review
- AI adoptionreleased capacity →Portfolio review
- Flow evidencewhere work waits →AI adoption
- Flow evidenceconstraint →Portfolio review
- 01
- 02
AI adoption
Following the time AI savesPilots were judged on review load, quality, end-to-end flow, adoption and usage-based cost.
- 03
Product operating model
Giving benefits an ownerEach intended benefit has a named owner, is revisited after release and feeds the portfolio’s decisions to continue, change course or stop.
- 04
Delivery evidence
Following the queue after coding sped upThe evidence showed work now waiting longest in user acceptance testing.
Work with me
Where to start
- Advisory
Technology and AI investment decisions, carried into practice.
- Flow Observatory diagnostic
Start with one delivery question and your own delivery history.
- Speaking
Talks written for the event, on AI, delivery and leadership.
- Coaching
Executive and team coaching for leaders through change.
- Training
Professional Scrum classes, taught by a Scrum.org trainer.
Writing.
All writing· 5 min
The next investment decision is also a capacity decision
A proposal has funding and a committed sponsor. The people and decisions it needs are already promised elsewhere. What should the portfolio review decide?
· 8 min
Why your team stopped reporting problems
Fewer escalations. Cleaner dashboards. Lower aging on the board. Before you interpret that as progress, ask whether your metrics system taught people that honesty is risky.
Longer writing
Books.
Apress / Springer Nature · 2026
The Art of Creating Self-Organizing Teams
A book about team autonomy, organisational relationships and coaching.
About the bookForthcoming from Apress · March 2027
The Predictability Loop
An operating model for enterprise software delivery in the age of AI.
About the book