Housing complaints, under Ctrl
See what's driving your complaints and answer them faster - with your team in control. Ctrl AI reads a complaint and your own records together - building the chronology, testing what happened against your policies, the Complaint Handling Code and Ombudsman precedent - so your team responds inside the Code's timescales and sees which estates, services and failures keep generating complaints. The service, repair and safety decisions stay with your team.
Why social landlords choose Ctrl AI
Whether you're a housing association, an ALMO, a council or a co-operative, Ctrl AI helps your team answer complaints faster and more consistently - from tenants, leaseholders and shared owners alike - and see what is driving them across your stock. So you can respond inside the Code's timescales, put right what actually went wrong, stand behind what was handled properly, and fix the causes that keep coming back. Our AI does the analytical groundwork. Your team makes every decision, including every repair and safety call. Your organisation answers the resident and puts the home right.
A clear view of every complaint, faster
The moment a complaint lands, the clock starts: five working days to acknowledge, ten to answer at Stage 1, twenty at Stage 2. The evidence you need to answer it sits across repairs, ASB, rents, estates, contractor records and years of correspondence.
Ctrl AI reads the complaint and your own record together - repair history, previous contacts, surveyor reports, case notes, correspondence - builds the chronology, and produces a structured assessment: what was promised, what happened, where the service fell short, and what remedy would be proportionate measured against the Ombudsman's own remedies guidance. Alongside it, a draft response that answers every point the resident actually raised.
Your team starts from a clear, evidenced position instead of assembling one by hand - and answers on time, at Stage 1, where most complaints should end.
Your team decides. The AI does the groundwork
Ctrl AI never decides a complaint, and never decides a repair or a safety priority. It does the analytical groundwork: it reads the evidence, applies your policy, the Code and the current law, and drafts the assessment and the response. Your team reviews, edits and decides. Every service, repair and safety judgement stays with the people qualified and accountable to make it.
Every output is an editable starting point, not a finished answer, and every input and edit is logged. That audit trail is there for your board or cabinet, your Member Responsible for Complaints, the Regulator and the Ombudsman. It is what makes the platform safe to adopt in a service where safety comes first - and it means that when the Ombudsman asks for the file, the file is already assembled.
See what's driving your complaints. Fix the cause, not just the case
A complaint is not just a case to close - it is a signal about a home, an estate or a service. Because Ctrl AI assesses every complaint against the record, it surfaces the patterns a case-by-case view misses.
Across repairs and property condition, rent and service charges, antisocial behaviour and noise, estate management, occupancy rights, moves and mutual exchange, leasehold and shared ownership, compensation and complaint handling itself - you can see which stock types, estates, defects, contractors and teams keep producing complaints, and which ones keep producing escalations.
That gives your team the evidence to target investment and service change where they will do the most good, and gives your governing body the thematic reporting the Code asks for, drawn from the cases themselves rather than assembled by hand. The platform surfaces the pattern; your team decides what to change and puts it right.
One standard, across every case. And every handler
A large landlord's complaints response involves many people making judgements - handlers, surveyors, housing officers, contractors - and consistency is hard to hold across thousands of cases. Ctrl AI applies the same framework to every complaint: your policy, the Code, the law, the Ombudsman's approach. The same evidence produces the same structured assessment and the same quality of response, whoever runs it.
The judgement stays human; the standard behind it is consistent, and the whole file is audit-ready. Consistent handling is fairer for residents, it shows in your tenant satisfaction measures, and it is far easier to stand behind when a case is investigated.
Resolve it at Stage 1 - before it becomes something bigger
A complaint answered properly at Stage 1 is the cheapest complaint you will ever handle. Every one that escalates costs more: a Stage 2 review, an Ombudsman investigation, orders and compensation, a complaint handling failure order, a satisfaction score - and, often enough, a Letter of Claim for the same disrepair nobody resolved the first time.
Ctrl AI helps your team handle more complaints well, in-house and on time, as volumes rise against a constrained budget - an association's, or a council's ring-fenced Housing Revenue Account. And because you own the platform, the insight stays with you: one consistent view across every complaint, every category and every estate.
And when a complaint does become a claim
Some complaints end in a Letter of Claim. When one arrives under the Pre-Action Protocol, the clock starts again and the same records have to be assembled and disclosed - this time to a timetable set by someone else.
Ctrl AI carries the work across. The chronology built while the complaint was live becomes the evidence base for the claim, and the platform produces a structured assessment of liability, merits and likely quantum alongside the counter-schedule. Your team responds inside the protocol window from a position it already holds, rather than rebuilding it from scratch.
The same record, the same standard, one platform - whether the case ends at Stage 1, at the Ombudsman, or in court.
Frequently asked questions
Does the AI make repair or safety decisions?
No - and this is by design. Ctrl AI does the analytical groundwork: it reads the evidence, applies the protocol and the current law, and drafts the assessment and counter-schedule. Your surveyors, your team and your lawyers make every call - including every repair and safety decision. Every step is logged in a full audit trail, so the process is defensible for your board or cabinet, the Regulator and the Ombudsman.
Is this a repairs or compliance system?
No. Ctrl AI is a disrepair-claims assessment and insight suite - it reads and assesses claims and surfaces the patterns across your portfolio. It is not a repairs-management system, an asset system, or an Awaab’s Law compliance tracker; those stay with your operational systems and your team. It sits alongside what you already run and the value it adds is a clearer, faster, more consistent view of your claims - and the insight into what is driving them.
Does this work for councils and ALMOs, not just housing associations?
Yes. Ctrl AI is built for social landlords of every kind. Housing associations, ALMOs and local authorities all face the same Pre-Action Protocol claims, the same Awaab’s Law duties, and the same consumer standards and Housing Ombudsman scrutiny - and councils often carry the oldest stock and the sharpest damp-and-mould exposure. The platform fits council governance and reporting - cabinet, elected members and scrutiny - just as it fits an association’s board and it can be procured through the public-sector frameworks councils already use.
How is this different from HabitatGuard or a Scott Schedule tool?
Operational tools automate the Scott Schedule and protocol responses at the document level. Ctrl AI goes deeper: the full assessment workflow - liability, merits and quantum and the counter-schedule - plus the portfolio root-cause insight into which stock and defects are driving claims. It can sit alongside the tools you already use; the difference is analytical depth and the systemic view, not single-document automation.
Where does our data go, and how is tenant data handled?
Your data stays in your instance of Ctrl AI on UK-hosted infrastructure, encrypted at rest and in transit, with AI processing inside an isolated, encrypted environment in the EU. Tenant records carry special-category data and are handled accordingly, and you control retention and deletion. A full security pack is available on request, covering Cyber Essentials, our infosec controls and data-protection templates.
Does the AI train on our data?
No. The platform is grounded in the Pre-Action Protocol, the current law and your own approach at the point of assessment. It is not retrained on your claims and your data is never used to improve external models.
How does it fit with our housing management and asset systems?
Ctrl AI sits on top of your systems of record. It works alongside your housing management system (such as NEC, Civica Cx, MRI or Aareon) and your asset system (such as Keystone or Apex), via API where supported or as a side-of-desk deployment. Your systems aren’t replaced and your IT roadmap isn’t rewritten.
Will it replace our team?
No. Ctrl AI is assistive, not autonomous. By compressing the manual work - assembling records, building chronologies, drafting assessments and counter-schedules - it frees your team to spend its time on judgement, on residents and on putting homes right. It is a platform for handling rising claim volume and seeing what is driving it, not for cutting the team.
What about the claims we send to our panel firms?
The point is to hand over less - and later. Handle more well in-house, and when a claim does need to escalate, your panel firm picks up the same file on one shared platform - evidence and assessment already done - so it starts ahead and costs less. Because you own the platform, the portfolio insight stays with you rather than being scattered across different firms on different systems.
How is Ctrl AI priced and how quickly can we be live?
Ctrl AI is licensed to your organisation and scaled to your size and claim volume. Implementation is fast: we configure the platform to your approach in weeks, usually starting with a proof of concept on a small sample of your real claims so you can see how it reasons - and how well it copes with your data - before you commit. It sits on top of your existing systems, so there is no rip-and-replace. For councils and ALMOs, it can be procured through the public-sector frameworks you already use. We can share a pricing outline on request.