What does an AI product manager do?
Define an AI product manager’s role through outcomes, acceptable errors, human review and value. Use the free Tenhaw Way working method.
An AI product manager decides which outcome an AI feature should achieve, how its value will be measured and what level of accuracy and human review is acceptable. They then write the work as outcomes rather than prescriptive stories. The Tenhaw Way, published free, sets out how to write value-focused epics and measure value.
30 minutes with James · how this would work in your organisation
The basis for this approach
This is our role and working-method guidance, grounded in the published Tenhaw Way. It is not a separate priced product-management service.
The demand signal
The PPL operating-method work involved Product, Engineering and QA. It connected outcome-based work with AI-assisted building, testing and review, with the method documented for the client’s team to keep using.
Bring the reason this is on your agenda to a 30-minute call with James, and we can explore what it would take in your organisation.
Book a 30-minute callWhy it stalls
2 failure modes we keep meeting
The feature is specified without an acceptance decision
An AI feature needs examples of an acceptable result and a decision about cases requiring human review. Those choices connect product value to engineering and testing.
The backlog counts features instead of value
A list of tasks does not show which outcome matters or what evidence would justify the investment. Write the outcome and measurement before breaking the work into implementation tasks.
If one of these sounds familiar, bring it to a 30-minute call with James and we can explore a way past it.
Book a 30-minute callHow we approach it
3 moves, in order
- 01
Write the outcome and its value
Use a value-focused epic to state who needs the improvement, what changes and how it will be measured. Bring the process owner’s baseline into the requirement.
- 02
Agree the examples with engineers and reviewers
Clarify accuracy, exceptions, source access and the human-review boundary. Use those examples to test the implementation and to make the acceptance decision.
- 03
Keep learning tied to the product decision
Measure the value and revise assumptions as real examples are tested. A £20,000–£55,000 proof of concept can prove the riskiest part before a separate 90-day production scope.
Clarify accuracy, exceptions, source access and the human-review boundary.
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Sources
Every source below was opened and read before it was attached. Where nothing survived that check, the claim on this page was softened rather than given a plausible-looking link.
Tenhaw, Agentic Proof of ConceptPPL, the six-month Embedded Agentic Lead engagementThe 54 vs 1 front-end changes are one reported epic comparison, not a general productivity benchmark.The Tenhaw Way, write a value-focused epicThe Tenhaw Way, measure valueThe closest guides to this one
Nearest first, then the rest. Each one carries the same label: written from delivery, or the method we would bring. All 34 are on the hub.
What does an AI project manager do?
Understand an AI project manager’s responsibilities, forecasting method and relationship with engineers, suppliers and the business owner.
Our approachHow a board turns AI strategy into measurable delivery
Turn board AI strategy into a funded workflow, agreed value and measurable use. See the audit readout, 90-day scope and ROI questions.
DeliveredDocument intelligence to business intelligence
Turn source documents into data your business can check and use.
DeliveredVoice agents and conversation intelligence
Choose recorded-call insight or a live agent, then design the right workflow.
Our approachRetrieval, RAG and permission-aware knowledge access
Answer from useful sources while keeping access tied to the person asking.
Our approachRAG, fine-tuning or prompting: how to choose
Choose the experiment that answers your knowledge, behaviour or cost question.
Or bring the problem to a call instead of reading three more of these.
Book a 30-minute callWork out the next step for your team.
A 30-minute call with James Rooney to discuss your workflow, people and budget. Leave with a rough scope and a useful next step.
Agentic Proof of Concept · £20k–£55k fixed · 2–4 weeks · excluding VAT
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Describe the work
Describe the work in a paragraph. James replies with a rough scope and budget range within two working days.
Questions this guide answers
How is this different from a normal PM?
The core job still connects customer needs, priorities and value. AI makes acceptable error, evaluation examples and human review explicit parts of the product decision, alongside the feature behaviour.
Do they need technical skills?
They need to work with engineers on the implications of data, access, evaluation and review. The product manager owns the desired outcome and acceptance decisions; engineering owns how the system is built.
How do they write requirements for AI?
Write the outcome, value and acceptance examples, then make gaps and contradictions visible with the team. The Tenhaw Way publishes a free method for value-focused epics.
How do they measure value?
Agree the baseline, the named benefit owner and the measurement before the build. Keep released capacity separate from cash savings, and measure actual use and review cost as well as output.
How can we test an AI product idea?
Tenhaw’s proof of concept tests one chosen workflow in your tenancy for £20,000–£55,000 fixed over two to four weeks. It ends in a go/no-go decision and a separate fixed quote for the 90-day programme.