Built for sectors where
getting it wrong is not an option.
We were not founded to sell AI. We were founded because 26 years of delivering Enterprise Asset Management across regulated and asset intensive industries made one thing clear: the gap between AI ambition and data readiness was vast, and nobody was closing it honestly.
Alex Brain
“Industry has spent a decade talking about AI. It has not spent that decade getting its data ready for it. Governance, maturity, readiness, these are not obstacles to AI adoption, they are the foundation of it. Brainwave Asset Intelligence exists to build that foundation properly, in sectors where the cost of getting it wrong is measured in more than money.”
Managing Director, Brainwave Asset Intelligence
26 years in Enterprise Asset Management
Alex founded Brainwave Asset Intelligence after two and a half decades delivering EAM, IWMS, and CMMS programmes across Defence, Central Government, NHS, Critical Infrastructure, and the commercial built environment. He has led implementations across some of the UK's most complex asset portfolios on platforms including IBM Maximo, Archibus, Planon, and SAP PM, and has held SC clearance throughout his career in regulated sectors.
Brainwave Asset Intelligence was built on the conviction that the organisations most likely to fail with AI are not the ones without technology, they are the ones without foundations. Alex's advisory practice is focused on fixing that, before the budget is committed and after when it is too late for polite conversations.
Connect on LinkedInTo strengthen the resilience, performance, and intelligence of critical assets across regulated and asset intensive industries, by embedding international standards, secure-by-design architectures, and trusted decision making into everyday operations.
Brainwave Asset Intelligence exists to help organisations manage their assets more effectively, securely, and intelligently. We achieve this through ISO 55000 application, Foundations before Automation, vendor-agnostic advisory, secure-by-design principles, and responsible AI integration.
The Asset Intelligence Framework.
Governance · Data Maturity · AI ReadinessMost consultancies will sell you an AI platform. We will tell you whether your data is ready for one. Our Asset Intelligence Framework assesses the true condition of your data before a single tool is procured. Because the organisations that succeed with AI are never the ones that moved fastest. They are the ones that built the right foundations first.
Policy, ownership and accountability that hold under scrutiny
Structured assessment and uplift toward AI-ready data assets
The confidence to adopt AI responsibly and at pace
SAFE-AI™
Secure Asset-Focused Enterprise AILayer 6 of the ADDR Framework. Activated at the Investment Readiness Gate whenever AI deployment is in scope.
Request a SAFE-AI briefing →AI systems can be capable. They cannot be accountable. A well-trained model can be accurate, reliable, and performant. What it cannot supply is integrity, judgment, or accountability for the consequences of its recommendations. Those have to come from somewhere else, from the people who built it, deployed it, and operate it, and from the governance architecture that binds them to it.
SAFE-AI™ is that architecture. 65 controls across six pillars, Foundation, Data, Model, Security, Human Oversight, and Accountability, mapped to every phase of the ADDR delivery model. It ensures that when an AI system is deployed in a regulated or asset-intensive environment, the capability of the technology is matched by the character of the governance surrounding it.
We do not deploy AI without it active. We do not advise organisations to.
Brainwave Asset Intelligence delivers AI-enabled asset and estate management for the back-office, built-estate, infrastructure, and facilities functions of regulated organisations. We do not deliver frontline capability AI, clinical AI, citizen-facing AI, or operational technology AI affecting direct service delivery. Where an engagement touches those boundaries, we will say so clearly and constrain our work to the in-scope layer.