Responsible with AI
At Vidos, we use AI to support delivery while keeping accountability human, controlled, and provable.
Our approach
Our Responsible AI approach
Permitted use (and non-permitted use)
Validation checks proportional to impact and risk
Clear ownership for key judgements and sign-offs
Evidence retention so review can withstand challenge
Our internal approach is designed to align with the RICS Responsible AI professional standard for surveying practice.
In-house AI capability
AI
Our in-house AI team builds and tests practical solutions that help teams adopt AI safely and consistently, including:
- >Custom models and workflows tailored to real project environments
- >Custom GPTs / AI assistants to support specific tasks with controlled boundaries
- >Internal tools that enforce safe use, reduce drift, and improve consistency
- >Governance-by-design so capability comes with controls, not just speed
What clients can expect
Clear outcomes from our Responsible AI approach
Trained teams by design
Role-based training through our Responsible with AI course
Auditable governance
Trackable records of AI-related decisions and usage
Confidentiality-first practice
Disciplined data boundaries and safe handling habits
Proportionate assurance
Higher impact = higher scrutiny
Want to understand our approach in practice?
Ask us about how we govern AI use, how we retain evidence, and how our in-house AI team can support safe, scalable adoption on your programmes.