The purpose of this guidance is to support RICS Registered Valuers and RICS-regulated firms in the responsible, proportionate, and practical use of artificial intelligence (AI) within real estate valuation practice.
As AI technologies increasingly emerge across data analysis, modelling and professional workflows, this guidance provides a globally relevant framework to help valuers understand how AI may be used in a manner that supports professional judgement, transparency and accountability within the broader RICS professional and valuation standards framework.
The guidance aims to support the effective adoption of AI while maintaining the professional standards and safeguards that underpin the accuracy, reliability and consistency of valuations and sustain public trust in valuation advice across international markets.
The guidance will primarily consider:
This global practice guidance will be issued for public consultation in Q2 2026 and is expected to be published later in 2026 as Artificial intelligence in real estate valuation (global practice guidance 1st edition).
Authors
Director - Head of Property, Artefact
Christopher de Gruben, FRICS, AssocRTPI is a property specialist with nearly 20 years of global expertise in delivering strategic change, including the set-up of successful property and valuation focused businesses in Asia and the UK. As a Senior Director and Head of Real Estate at Artefact (Europe's largest Data and AI pure-player management consultancy) he specialises in the implementation and adoption of cutting-edge data science and AI solutions for some of the UK's largest property companies. Beyond Artefact, Chris is an RICS examiner for APC panels, where he also acts as Vice-Chair of a Valuation PGP, defining what the future of the valuation trade should look like in the age of AI. He has recently co-chaired the working group which has recently published the RICS Responsible use of AI in surveying practice. He is currently a trainer for the RICS Global Harnessing of AI & Data in the Built Environment online courses and an external examiner for all undergraduate degrees at the UCL Bartlett School of the Built Environment.
Subject matter expert in data & AI
Onur is a senior professional specialising in the governance and responsible application of AI within regulated valuation practice. He serves at RICS as a Subject Matter Expert in AI and Data (RICS Consultant), contributing to the development and implementation of technical guidance and supporting professional standards across global surveying practice. He is Co-Technical Author of AI in Real Estate Valuation – Global Guidance (1st Edition), supporting implementation of the RICS Global Standard: Responsible Use of Artificial Intelligence in Surveying Practice (2025) and shaping structured governance frameworks for AI-enabled valuation within regulated professional environments. He co-developed and delivers the RICS “Global Harnessing AI and Data in the Built Environment” programme and chairs a specialist RICS working group contributing to AI-related professional standards. As Founder and CEO of a venture capital-backed, RICS-regulated AI-supported digital valuation firm serving financial institutions, he led the business to successful acquisition by an international investment firm. The company operated within the framework of RICS firm regulation, embedding AI within regulated valuation workflows while ensuring final valuation conclusions and professional accountability remained solely with MRICS-qualified valuers in accordance with Red Book requirements. He previously served as Senior Lecturer and Course Leader on RICS-accredited undergraduate and postgraduate real estate degree programmes, specialising in valuation, real estate finance and the digital transformation of valuation practice. He holds an MEd (Mathematics) from the University of Cambridge and an MSc (International Real Estate and Planning) from UCL (RICS/RTPI accredited), undertook doctoral research at the University of Cambridge, and is a Fellow of the Higher Education Academy (FHEA), the Royal Statistical Society (FRSS), the Royal Society of Arts (FRSA) and the Royal Geographical Society (FRGS).