The Feenix Handbook · Free

Governing Judgement

The guide to adopting AI in the built environment without losing professional judgement or accountability.

6 stages23 tools4 role routes100 pagesDraft v0.9
Cover of Governing Judgement, the Feenix Handbook
Why this handbook exists

AI changes who drafts, not who decides. Governing judgement means a competent, named person still decides, and can show it.

Key findings
about 2 in 3

construction professionals in a global RICS survey use AI in some part of their work. Less than 1% say it is fully integrated across their organisation.

Use is individual. Organisations have not caught up.

RICS, global survey, 2026
5%

of UK businesses using AI have a formal written AI policy. A further 12% have informal policy or guidance.

Most firms using AI have no written rules.

DSIT, UK Business Data Survey 2026
74%

of architects' practices use AI on at least some projects. Around 19% have a documented AI policy.

Policy lags use in design practice too.

RIBA, 2026
54%

of architecture, engineering and building employees in the UK and US have used AI tools their employer had not approved.

Shadow AI is already on your projects.

Reported by IT Brief UK
39 to 77%

of cited sources supported the claim made, across the strongest of 14 AI systems tested, although over 94% of the links worked.

A working link is not a checked source.

2026 preprint
over 40%

of agentic AI projects are expected to be cancelled by the end of 2027, citing cost, unclear value and weak risk controls.

Agents need a business case and boundaries.

Gartner, June 2025
The whole handbook on a page

Six stages. 23 tools. One page each.

Every tool has a graphic, steps, a prompt, a worked example and a free Word or Excel template.

Part 2

Decide

Set the rules before the work.

Policy on a Page, Tool Card, Checking Levels, Data Boundaries
Part 3

Use

Keep the judgement with the person.

Prompt Standard, Notes to Decisions, Show the Workings
Part 4

Check

Check the claim, not the link.

Claim Audit, Evaluator Red Team, Clause Reader
Part 5

Prove

If you cannot show it, you did not check it.

Decision Register, Evidence Library, Buyer Priorities, Source Pack, Disclosure Reply
Part 6

Review

Governance that does not move is paperwork.

Near-Miss Log, Quarterly Review, Self-Check
Part 7

Agents

Decide what it may do before it acts.

Board Questions, Workflow Selector, Boundary Card, Decision Record, Maturity Check
Find your route

Four roles. Five tools each. Start with the first.

Use and evidence

Practitioner

You use AI in your own work to produce drafts, estimates, summaries, calculations and reports.

  1. Data Boundaries
  2. Team Prompt Standard
  3. Show the Workings
  4. Claim Audit
  5. Judgement Self-Check
Assure and own

Reviewer

You approve AI-assisted work by others, and your name or the firm's goes on it.

  1. Checking Level Matrix
  2. Claim Audit
  3. Evaluator Red Team
  4. Use and Decision Register
  5. Agent Boundary Card
Govern and control

Steward

You own the policy, the registers and the evidence an assurer would ask for.

  1. AI Policy on a Page
  2. AI Tool Card
  3. Evidence Library
  4. Near-Miss Log
  5. Quarterly Governance Review
Lead and account

Sponsor

You hold executive accountability and answer when a regulator, insurer or client asks who decided.

  1. AI Policy on a Page
  2. Supplier AI Disclosure Reply
  3. Quarterly Governance Review
  4. Board Agent Questions
  5. Agent Maturity Check
Built to be used

Every tool works the same way.

Copy it, adapt it, fill it in and argue over it in your own team.

01

At a glance

What it is for, who uses it, how long it takes and what it links to.

02

Why it matters

The rule, then the evidence behind it, with numbered sources.

03

How to use it

Three or four steps, plus a prompt that keeps the judgement with you.

04

Worked example

The template filled in, so you can see what good looks like.

05

Template

An editable Word or Excel version of every tool.

A note from the founder
If one tool changes how one decision is made on one project, it has done its job.
Micah StennettFounder and CEO, Feenix

Why we are giving this away

Feenix wants the built environment to adopt AI responsibly, because done well it will raise standards across the industry and improve outcomes for the people we design, build and maintain for.

We believe AI can help close the skills gap, but only if we train people early: before habits form, and while the tools are new to almost everyone. Left to chance, AI will widen the gap between people who know how to check it and people who do not.

This handbook is a valuable asset, and we have made it free on purpose. Its real value is not in these pages. It is in the people who make up the built environment recognising the opportunity and the challenge in front of them, and deciding to meet both.

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