Responsible AI for the Built Environment.
AI accelerates judgement accountability doesn't move. Train your team to use AI safely, defensibly, and to world class standards.
Responsible with AI is developed by Feenix an IAPP member, RICS Tech Partner, and CPD-accredited responsible-AI training and governance company for the built environment.
Why it matters
AI accelerates judgement but accountability doesn't move.
Confidence without credibility is a professional risk.
This AI Training Platform helps you retain authority, defend your decisions, and safeguard trust with clients and teams.
Built for your profession
Who This Course Is For
"...so you can use AI without undermining your professional standing."
Surveyors & Valuers (RICS professionals)
Project Managers & Commercial Leads
Cost & Claims Consultants
Built Environment Teams adopting AI
Ready to Get Started?
Course Levels: Foundation → Sponsor
AI is now part of day-to-day delivery in the built environment.
But the real differentiator isn't whether you use AI it's whether you can control it, assure it, and defend the outputs.
That's why this programme is structured into progressive learning levels from safe personal use to organisational accountability.
Level 1 Foundation
Use AI confidently, not blindly
Learn what AI is (and isn't), where it helps, where it creates risk, and how to use it safely as a built environment professional without losing credibility.
You'll learn:
Level 2 Practitioner
Safe Delivery
Use AI confidently in real project workflows while staying in control of quality, accuracy, and professional responsibility.
You'll learn:
Level 3 Reviewer
Available NowGovernance & Quality Control
Assure AI-assisted work before it leaves the team. Structured techniques to interrupt automation bias, defensible file notes, and the three-door review framework.
You'll learn:
Level 4 Steward
Governance in Practice
Turn responsible AI from an idea into a working system across the organisation policies, registers, controls, training, and evidence.
Level 5 Sponsor
Accountable AI Leadership
Lead AI adoption with confidence. Set direction, approve risk appetite, protect credibility, and enable delivery at scale.
The question isn't "How much did AI do?"
It's how much did you drive the output and assure its quality?
Standards-Based
Built on recognised standards, made practical for the built environment
"Responsible with AI" is not just opinion-based AI Training Platform. It is developed from recognised standards and guidance, then translated into what professionals actually need: how to use AI well, how to control risk, and how to remain accountable for outputs.
Our course framework is mapped to key principles from:
RICS Professional Standard (Global)
Responsible use of artificial intelligence in surveying practice (Sept 2025), including baseline knowledge expectations, data governance, reliance and assurance, and transparency with clients
ISO/IEC 42001:2023
an AI management system standard that supports governance structures, role clarity, risk assessment and treatment, documented controls, and continual improvement
UK Government AI Playbook (Feb 2025)
a practical set of principles for responsible with AI adoption, including understanding limitations, using AI securely, applying meaningful human control, and putting assurance in place
What this means in practice: you learn how to use AI with confidence, while keeping outputs defensible, evidence-led, and professionally credible.
Structured Learning Pathway
Pricing
Level up when you're ready.
Responsible with AI is designed as a structured learning pathway.
Course levels are being released in staged drops.
Foundation
The baseline every built environment professional needs to use AI responsibly.
Watch 2-minute preview
Includes:
- What AI is (and what it isn't)
- Safe everyday use across built environment workflows
- Hallucinations, hidden errors, and how to validate outputs
- Confidentiality, data handling, and professional risk
- Defensible output habits you can apply immediately
Practitioner
Use AI confidently in real project workflows while staying in control of quality and professional responsibility.
Watch 2-minute preview
Includes:
- Safe prompting habits
- Structured validation
- Red/Amber/Green task judgement
- Evidence-light documentation habits
- Transparency statements and professional sign-off
Reviewer
Assure AI-assisted work before it leaves the team. Structured techniques to interrupt automation bias, defensible file notes, and the three-door review framework.
Includes:
- The three-door framework: stop-the-line, conditions, or no change
- Four interruption techniques to break automation bias
- File notes that survive regulator examination
- Handling commercial pressure with evidence-led professionalism
- The Reviewer role under EU AI Act, ISO 42001, RICS & PI insurer requirements
Coming Soon
Further levels launching soon. Join the waitlist for early access and first-cohort pricing.
Steward
For implementation leads building Responsible with AI into delivery teams.
Sponsor
For leaders accountable for AI risk, credibility, and organisational oversight.
Business Plans
For consultancies, contractors, client teams, and FM providers.
Includes:
- •Multi-seat access for teams
- •Centralised governance learning pathway
- •Certificates and completion tracking
- •Role-based learning (user → Sponsor)
- •Optional onboarding packs and templates
Enterprise Plans
For large organisations and regulated environments.
Includes:
- •Organisation-wide access and rollout support
- •Reporting and assurance-ready learning outcomes
- •Optional governance workshops and implementation support
- •Tailored learning pathways by function and risk profile
Waitlist Benefits
Join the waitlist to get:
Bonus templates and checklists
What professionals say
Testimonials from our learners
Frequently Asked Questions
Resources & FAQs
What are the levels, and who are they for?
Each level matches how AI shows up in real organisations: Level 1 Foundation (Awareness): safe everyday use and core risks Level 2 Practitioner (Operational Practitioner): using AI day-to-day for work outputs Level 3 Reviewer: checking AI-assisted work before it goes out Level 4 Steward: governance-minded oversight (controls, evidence, escalation) Level 5 Sponsor: leadership decision-making, risk appetite, accountability and adoption strategy
Do I have to complete every level?
No. Most people take the level that matches their role today. Organisations often assign levels by responsibility (e.g., practitioners take Practitioner; line managers take Reviewer; governance leads take Steward).
How long does the pathway take?
It depends on your starting level. Levels are designed to be completed at your own pace, with an assessment at the end. Courses are provided on a lifetime access basis, allowing for updates, reassessments and refreshers.
What makes the methodology different from "AI basics" courses?
Responsible with AI is built around defensible professional practice, not tech hype. You learn: • How to spot common AI failure modes (confident errors, bias, missing context) • How to stay on the right side of confidentiality and data risk • How to verify, disclose, and quality-check AI-assisted outputs • How oversight works (who reviews what, what evidence matters)