Professional judgement for an AI-assisted world.
AI is already becoming part of everyday professional work.
It can draft faster, summarise more, analyse information and remove hours of routine effort. But it can also produce confident mistakes, expose information and turn an uncertain position into something that sounds definitive.
The technology can assist the work. Responsibility for the work still sits with the professional.
Responsible with AI exists to help built environment professionals manage that responsibility.
We focus on what happens around the technology.
Most AI training focuses on the technology: what AI can do, which tools to use and how to write better prompts.
- 01What can you trust?
- 02What should you protect?
- 03What needs checking?
- 04When should you disclose AI use?
- 05What should you record?
And when someone else has produced the work, what does meaningful review actually look like?
We don't train people to become AI engineers. We train professionals to remain professionally in control when AI becomes part of their work.
That reflects the core purpose of Foundation itself: safe participation in modern AI tools without losing control of professional judgement.
Capability that grows with responsibility.
Responsible AI competence isn't the same for everyone. Someone occasionally using AI to help draft an internal note does not carry the same responsibility as someone producing client advice, reviewing another person's work or governing AI use across an organisation.
| Level | Capability | Responsibility |
|---|---|---|
| Foundation | Recognise & Protect | Your use of AI |
| Practitioner | Use & Evidence | Your professional outputs |
| Reviewer | Assure & Own | Work you review or approve |
| Steward | Govern & Control | Organisational AI useNot yet released |
| Sponsor | Lead & Account | Executive accountabilityNot yet released |
You progress as far as your responsibility requires.
The distinction is already embedded deeply within the courses. Practitioner moves from Foundation's awareness into a repeatable operating system for real delivery work. Reviewer then moves beyond your own work to independently assuring work produced by somebody else.
Built for real professional work.
Responsible with AI is designed around the situations professionals actually face.
- A report that sounds more certain than the evidence supports.
- Confidential information sitting inside a prompt.
- An AI-generated figure nobody has checked.
- A client asking how AI was used.
- A reviewer deciding whether work is safe to issue.
The courses turn these situations into practical methods learners can use at work, supported by built-environment scenarios, knowledge checks and assessed outcomes.
Foundation introduces
Trace → Track → Assure
Practitioner develops a repeatable operating loop
Classify → Prompt Safely → Validate → Write Defensibly → Disclose → Document
Reviewer adds independent assurance — structured review, traceability, and the decision to
Approve → Reject → Approve with Conditions
The objective is simple:
Know what you did. Know what you checked. Be able to stand behind the result.
Grounded in recognised standards.
Responsible with AI translates professional standards and emerging AI governance requirements into behaviours people can actually apply.
- RICS Responsible Use of AI in Surveying Practice
- ISO/IEC 42001
- UK Government AI Playbook
- EU AI Act
The aim isn't to turn professionals into compliance specialists or ask them to memorise standards. It is to help them work in a way that can satisfy the expectations behind them.
The programme is CPD accredited, and Responsible with AI is developed by Feenix, an IAPP member and RICS Tech Partner.
Adoption was moving faster than professional capability.
Responsible with AI was created by Feenix, a built-environment-focused AI education and governance business.
The programme was developed from a simple observation: adoption was moving faster than professional capability.
Rather than starting with another generic AI course, the work began with the professional environment — the standards, responsibilities, risks and decisions that surround AI use — and built the learning around them.
Micah Stennett
Founder, Feenix · Creator of Responsible with AI
Built-environment professional and AI governance practitioner, combining experience of professional service delivery with a focus on how AI changes judgement, accountability and assurance.
Start with the professional baseline.
You don't need to know how AI works technically. You need to know how to use it without losing control of the work.
Foundation — Recognise & Protect
- Free
- 1.5 CPD
- Assessment
- Certificate