SPD fraud costs your council hundreds of thousands a year. The data to catch it is already in your systems.
Single person discount fraud goes undetected because councils lack linked data. Debt recovery relies on blanket letter campaigns — expensive, ineffective, and damaging to resident relationships. Your council tax base contains growth hidden in unmatched data. Your team is shrinking. Demand for council tax support is rising with no increase in resource.
You know where the money is — you just can’t get to it fast enough.
Your data is siloed across revenues, benefits, and CRM systems. Council tax, housing benefit, council tax support, single person discount — each sitting in its own database, rarely linked, never analysed together. The analytical capability to join it up doesn’t exist in most revenues teams.
Generic data tools don’t understand council tax exemptions, SPD rules, or debt recovery regulations. You can’t point a business intelligence dashboard at this problem and expect it to find fraud, prioritise debt recovery, or identify where your council tax base is understated. You need AI that connects your existing data and acts on it — AI that understands how revenues and benefits actually work.
Proven approach, new domain. We’ve automated statutory processes in five departments. Revenues is next.
Every AI agent started the same way: inside a live council service, built with the staff who use it, solving a specific problem that generic AI couldn’t touch.
EHCP Agent
40 councils. 80% drafting time saved. 8,000+ hours returned to frontline SEND teams. Built with caseworkers, not for them.
Needs Assessment Agent
Wigan Council. 300+ social workers. CQC Outstanding — 95 out of 100, the highest rating in England. Built inside a live adult social care service.
Minutes Agent
10+ councils. 600+ hours saved. Committee minutes, case conferences, governance meetings. Same platform, same method.
Let’s be honest about where we are
This is the thinnest evidence base of all our department pages. We have no live revenues product. No revenues-specific case study. No council running AI in their revenues team on our platform today.
But here’s what we do have: a proven incubator model that has produced every AI agent in our catalogue, a platform already live in 40 councils, and a method for building AI inside real services with real staff. The pattern is the same every time — we just haven’t applied it to revenues yet.
And the financial case in revenues is more directly measurable than anything we’ve done in social care. SPD fraud detection, debt recovery optimisation, council tax automation — these produce hard ROI. The savings aren’t proxied through time savings or staff retention. They show up in your collection rate and your fraud recovery figures.
Where we see the opportunity
SPD fraud detection — a repeatable pattern. Link data across revenues, benefits, electoral roll, and CRM to identify single person discount claims that don’t match reality. Every council has the same problem. The data structures are similar. This is the kind of problem that scales across the sector once solved in one place.
Council tax automation — a repeatable pattern. Routine council tax processing — new accounts, changes of circumstance, exemption applications — follows predictable rules. AI that handles the straightforward cases frees your team for the complex ones.
Targeted debt recovery — new ground. Instead of blanket letter campaigns that cost money and damage resident relationships, AI that analyses payment history, circumstances, and likelihood to pay — then targets contact at the residents most likely to respond. Not deflection. Resolution.
AI that understands revenues — built with your team, inside your service.
AI that links data across revenues, benefits, and CRM to detect SPD fraud automatically — flagging cases for review instead of relying on periodic NFI exercises or blanket data-matching contracts. Targeted debt recovery that contacts residents most likely to pay, instead of sending the same letter to everyone. Council tax processing automation that handles routine cases end to end, so your team focuses on the work that needs human judgement.
We don’t have a product to show you yet. What we have is a co-creation model: you bring the domain expertise and the data, we bring the platform, the AI capability, and the method. We start with a AI Prototyping Day — a structured session where we map your data, your processes, and your pain points, and identify the highest-value opportunities for AI in your revenues service.
The AI Prototyping Day is free. It produces a concrete output: a prioritised list of AI opportunities in your revenues and benefits service, with estimated ROI, data requirements, and a realistic timeline. If the numbers work, we build together. If they don’t, you keep the analysis.
Start with a free AI Prototyping Day.
A full-day working session for a single service area. Your team talks us through how the work actually flows. We build working prototypes over lunch. By the afternoon, 3–4 prototypes are in the room and your team is pulling them apart. No slides, no commitment, no cost.
See how the day works