Housing disrepair claims, under Ctrl
Run more cases, to a consistent standard – without overloading your team. Ctrl AI runs the analytical backbone of a claimant housing disrepair claim – triage, evidence, Scott Schedule, quantum – so your fee earners spend more of their time on judgement, clients and negotiation.
Why housing disrepair claimant teams choose Ctrl AI
Ctrl AI helps your team take on more claimant housing disrepair cases, to a consistent standard, at the volume rising demand and regulatory change now require. Every assessment is structured around the Pre–Action Protocol, evidence gaps are highlighted at intake and your claims handlers sign off every output. Our AI does the groundwork. Your team makes the decisions. Your firm runs the case.
Progress more claims.
With the same size team
With the same size team
The bottleneck isn’t the judgement – it’s the routine, repeatable work around it: sifting records to vet a case, assembling the notice trail, itemising defects into a Scott Schedule. Ctrl AI runs that work in the background, so a Scott Schedule drops from three hours to 45 minutes. With reduced onboarding durations, your claim handlers get that precious time back for the cases that need their judgement.
AI does the groundwork. Your claims handler decides the outcome
Ctrl AI takes in the evidence and produces a structured assessment, which a claims handler then accepts, edits, or rejects. Nothing leaves the platform – no Scott Schedule, no Letter of Claim, no quantum figure – until someone on your team has signed it off.
Every output is an editable first draft, not a finished answer. Our AI platform works like a second pair of eyes alongside your handlers, surfacing the detail that’s easy to miss in a large bundle.
Your best handler's standard.
On every case
Quality can vary from handler to handler: one team member may catch a notice gap that another misses; Scott Schedules come out formatted differently; quantum is calculated differently for the same disrepair profile. Ctrl AI applies the same framework to every case – defined ratings for claim strength, significance, priority and quantum confidence – so the same evidence produces the same structured assessment, whoever runs it and whenever.
A handler with three months’ experience produces work to the standard of one with ten years. Consistent quality, regardless of experience – and faster onboarding, because the methodology lives in the assessment, not in one person’s head.
Built around the Pre-Action Protocol. Flags missing evidence at intake
Ctrl AI does the heavy lifting for your handlers – sifting evidence, building a case chronology, applying your playbook, drafting the first cut of every output – then hands it back to a named handler to accept, edit, or reject. Nothing leaves the system and no determination is logged, until a team member has signed off.
Every time a handler agrees with the AI, edits it, or overrides it, that decision is captured – giving you a feedback loop, not a replacement loop. Over time, the way your best handlers work becomes the way the system works for everyone. Your handlers train the AI, not the other way around.
Five assessments, ready to run. Alongside the software you already use
Your handlers upload the evidence, choose the assessment they need, and get a structured output back – with no prompt engineering or AI expertise required. Five assessments are ready to run today: Triage, Evidence Gap Analysis, Scott Schedule, Liability and Merits, and Quantum and Settlement. Each one works across your whole caseload as opposed to document by document. All assessments are fully configurable and can be adapted to suit your workflow.
Rather than replacing the case management system you already run, Ctrl AI sits on top of it – working with Proclaim, Sharedo, Clio or a bespoke build, either through an API or as a side-of-desk deployment.