Reduce Admin
Case studies

Measured in work removed, not AI added.

Three engagements with numbers attached. Results were achieved in specific organisations with specific systems and constraints, and are not a prediction of what your organisation will achieve.

Complex care · CHC, Section 117 and FNC

Reducing clinical and administrative errors with a bespoke AI case-management system

£100K+ annual impact

The problem

Nurse assessors were assembling evidence by hand across several sources, writing up documentation against each domain and waiting on a quality assurance queue that had no live view of what was outstanding. Send-backs created rework for the original assessor, and invoicing depended on approvals nobody could see.

The previous workflow

Records requested and chased individually. Case tracking in spreadsheets with conditional formatting that had stopped being maintained. Quality assurance by manual review. Overdue reviews discovered rather than flagged.

What was built

A custom case management system covering the full review lifecycle: allocation, case state, contact logging, automated document generation, AI-assisted drafting, and a quality assurance agent that reviews documentation for gaps and inconsistencies before submission. Invoicing unlocks only once quality assurance is approved.

Human oversight

The agent assembles evidence and drafts. The nurse or clinical lead reviews, corrects and owns the recommendation. Eligibility determination is unchanged and remains with the clinicians and panel.

The result

Over £100,000 in annual impact through reduced clinical and administrative error, with review administration time substantially reduced and a live position on outstanding work replacing the spreadsheet.

Governance considerations

Built to NHS standards with a documented controller and processor chain, DPIA support, UK data residency, human-in-the-loop at every clinical decision point and clinical safety documentation to DCB0129 principles.

Also worth knowing

Two more, from outside the care sector.

We include these because the founder built and ran them, not because they are care-sector proof. The care-sector story above is the one that matters for a provider or commissioner.

Wellness · Founder-operator build
£70K/year

Instant lead response and automated customer workflows

Annual sales increase from automating customer-facing response and follow-up. 80% of daily customer-facing operations now run without manual intervention, with response time under one minute.

Global manufacturing · Engineering intelligence
£1M+

Annual opportunity identified using AI-powered engineering intelligence

Repetitive analysis of operational and maintenance data surfaced improvement opportunities that manual review had not. Included as evidence of engineering approach in a regulated, high-consequence environment.

Every one of these started as a twenty minute conversation.

The audit finds whether your organisation has an opportunity worth the same treatment.

If we do not find a meaningful opportunity, we will tell you.