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Agentic AI has become one of those phrases you cannot escape in UK #socialhousing tech conversations. Suppliers talk about it with great confidence. (OBVs)
Agents that plan, decide, act, learn. Systems that do things for you, not just respond when clicked. Yet when you scratch the surface, most of what is described still lives firmly in the future tense.
Currently as far as I can see, practical use is still quite limited, but not entirely absent. While significant productivity gains are clearly possible, anyone who has dabbled with it will confirm it’s a week of defining your process and six times that defining/confirming guard rails and testing it all thoroughly iteratively. Then it might be a blind alley, as over 80% of pioneers appear to be reporting.
Where agent style behaviour is starting to show real value is on the CRM platforms, particularly Salesforce and Microsoft Dynamics 365. Not in fully autonomous decision making, but in tightly constrained, supervised tasks. Things like AI driven case triage, where incoming repairs, ASB or damp reports are automatically categorised, prioritised, and routed to the right team based on rules, patterns, and historical outcomes. That is agent-like behaviour in practice, (even if nobody really calls it that on the ground).
I think we are also seeing early but useful examples around assisted case progression. AI nudging staff officers with next best actions, chasing missing information, drafting responses, or flagging cases that are stalling against policy or SLA. Traditionally these might be templated anyway for policy consistency. In D365, Copilot style tooling is already being used to summarise long case histories, prepare updates for managers, or draft resident communications that staff then review and send. It is not autonomous, but it genuinely saves time and cognitive load.
Salesforce based housing solutions look to be a bit further along with orchestration. Some providers are experimenting with agents that span multiple systems, pulling data from CRM, repairs, and finance to support a single outcome, for example preparing a voids readiness pack or highlighting risks ahead of a mutual exchange. Still this is reliant on quality of integrations in place at times. Again, these are supervised agents, operating within guardrails, not free ranging AI making housing decisions on its own.
On the HMS side, things are quieter.
Most UK housing management systems are still focused on embedded AI features rather than true agentic behaviour. Things like predictive repairs, arrears risk scoring, or document classification. Useful, but largely reactive and contained within a single module. The bigger challenge is that many HMS platforms are still finishing the journey to full responsive-browser based, API rich architectures. Without that foundation, serious agent orchestration across modules and systems is very hard to deliver safely. So for some its jam tomorrow.
There are a few tentative examples. Some suppliers are piloting AI driven scheduling optimisation in repairs, image diagnosis or automated follow ups in income collection. But these tend to be narrow, rules heavy, and carefully constrained. Some not really AI at all in its recent clever Trevor LLM incarnation. Sensibly so. Housing is not a domain where most CEO’s want an AI agent learning through trial and error with real people’s homes and lives.
So where does that leave us.
Right now, agentic AI in UK & Irish social housing is most credible when it behaves like a very capable assistant, not an autonomous decision maker. CRM platforms are better placed to support this today because they are already designed around workflows, orchestration, and integration. HMS suppliers are not out of the race, but many are still building the track while running on it. Many trad HMS already have plenty of under-implemented workflow and similar capability – so think on, don’t be reaching for AI if you haven’t even got to first base!
The danger is not that agentic AI will fail. It is that suppliers & CRM solution partners oversell it before it is ready, and housing providers either over commit or switch off entirely. The sensible path is boring but effective. Start with small (pay as you go), practical agents. Keep humans in the loop. Prove value in time saved, errors reduced, and residents better served.
So, less talk about the art of the possible everyone. More evidence of the possible working on a Tuesday afternoon in a housing office, over a bookies, grocers and a chemists.
Related Post: Don't suffer from system under-implementation
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(c) Tony Smith, Acutance Consulting www.acutanceconsulting.co.uk 07854-655009
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