Responsible AI
for the Built
Environment.
AI accelerates judgement. Accountability doesn't.
Practical training for professionals who use, review or assure AI-assisted work.
Using AI is easy. Being accountable for it isn't.
AI can produce work that looks finished before it is trustworthy.
Responsible with AI teaches you what to trust, what to check and how to stand behind the output.
Protect informationChallenge outputsDefend decisions
Not AI engineering. Not prompt tricks. Professional capability for working responsibly with AI.
Built for surveyors, project managers, commercial professionals, consultants and built-environment teams.
Choose the capability your role requires.
As responsibility increases, so does the level of assurance you need.
- 01Foundation
Recognise & Protect
Your use of AI
- 02Practitioner
Use & Evidence
Your professional outputs
- 03Reviewer
Assure & Own
Work you review or approve
- 04Steward
Govern & Control
Organisational AI use
- 05Sponsor
Lead & Account
Executive accountability
Recognise & Protect
Build the professional baseline for safe AI use. Spot unreliable output. Protect sensitive information. Know what needs checking before you rely on it.
You will learn to
- 01Spot common AI errors before they enter your work
- 02Protect confidential and sensitive information
- 03Apply Trace — Track — Assure before relying on an output
Use & Evidence
Turn responsible AI into a repeatable way of working. Use AI in real professional workflows while staying in control of quality, accuracy and accountability.
You will learn to
- 01Risk-rate AI tasks before you start
- 02Validate outputs in proportion to consequence
- 03Evidence what AI did, what you checked and why the work was safe to issue
Classify — Prompt safely — Validate — Write defensibly — Disclose — Document
Assure & Own
Independently assure AI-assisted work before your name or firm relies on it.
You will learn to
- 01Trace AI-assisted work back to its source
- 02Challenge polished outputs without inheriting their assumptions
- 03Approve, Reject or Approve with Conditions — and record the decision
Organisational controls, registers, policies and assurance.
Executive accountability, risk appetite and responsible adoption.
Built on recognised standards. Made for real work.
Responsible with AI translates recognised professional and governance requirements into practical working behaviours.
- RICS Responsible AI Standard
- ISO/IEC 42001
- UK Government AI Playbook
- EU AI Act
Train people for the responsibility they carry.
Role-based learning for teams — from everyday AI users to reviewers and governance leaders.
- Multi-seat access
- Progress tracking
- Reporting
- Tailored pathways
- Rollout support
“The framework makes responsible AI practical and immediately actionable.”
“Structured training gives professionals the foundation to use AI with confidence and accountability.”
“Governance frameworks protect both professionals and clients. This training provides exactly that structure.”
Questions
What makes Responsible with AI different from AI basics training?
We don’t teach coding, AI hype or prompt tricks. Responsible with AI focuses on the professional capability around AI: what to trust, what to protect, what to verify, when to disclose and how to evidence the decisions you make. The aim is not simply to help you use AI — it is to help you use it without giving up professional judgement or accountability.
Which course is right for me?
Choose the level that matches the responsibility you carry. Foundation is for professionals using AI in their own work. Practitioner is for those using AI regularly to produce professional outputs. Reviewer is for people who review, approve or take responsibility for AI-assisted work produced by others.
Do I need to complete every level?
Not everyone needs every level. The pathway is progressive, so you only need to advance as far as your role requires. However, Practitioner builds on Foundation, and Reviewer builds on both Foundation and Practitioner, so the earlier levels should be completed before progressing.
Can my organisation train a team?
Yes. Responsible with AI can be used across teams, with people trained to the level that matches their role and responsibility. This means everyday users, regular practitioners and those responsible for reviewing or approving work can develop a shared approach to safe, accountable AI use rather than receiving the same generic training.
Start with the professional baseline.
Foundation gives you the essential habits for using AI responsibly in professional work.
- Free
- 1.5 CPD
- Assessment
- Certificate
No payment required