CreditHire Assist
What is CreditHire Assist?
CreditHire Assist is an AI dispute-resolution toolkit for UK credit hire teams. Six specialist tools draft and defend credit hire claims, with every output checked against a curated knowledge base of 130+ UK case law authorities, 93 of them binding. The system retrieves citations from the library. A person reviews every output before use.
Who it is for
Credit hire operators, accident management companies and claimant teams handling basic hire rate (BHR) disputes, rate challenges and third-party insurer (TPI) correspondence.
Built by people in the work
The people behind CaseFlow
Chris Latham
Founder
25+ years in UK motor claims and credit hire. Oxford AI Programme; ex-Group Operations Director at Kindertons.
Craig Budsworth
Co-founder
Former Chair of MASS and founding director of MedCo. One of the most credentialled figures in UK credit hire.
Key tools and features
BHR analysis and rate comparison
Postcode-aware basic hire rate analysis with Bunting locality checks and ABI GTA rate lookup, ready for the reply letter.
TPI argument deconstruction
Break down third-party insurer challenges line by line, with the rebuttal mapped to verified UK authority.
Liability and need assessments
Decision-support for liability and need questions, grounded in the relevant authorities rather than free generation.
Citation-checked reply letters
Reply drafts cite only authorities that exist in our curated knowledge base. No fabricated case names.
Case-law-backed arguments
Arguments are built from a library of 130+ UK credit hire authorities, with the source shown for every line.
Handler-in-the-loop review
Every output sits in the handler's queue before it leaves the desk. The system records what the model produced and what the handler changed.
Measured outcomes
130+
UK case law authorities
6
Specialist tools on one platform
Human review
Every output checked before use
Compliance safeguards
- Retrieval-augmented generation grounded in a curated knowledge base, with citations checked against the library and reviewed by a person.
- Handler-in-the-loop on every output, with the source shown next to the reasoning.
- Full audit trail of what the AI produced and what the fee-earner approved, so supervision is by design rather than by discipline.
- Personal-information masking where supported by the workflow; automated masking has limitations. Customer content is not used to train AI models.
Related reading
Basic Hire Rates (BHR): Why Bunting Doesn't Stop You Challenging the Facts
Bunting v Zurich is often cited to shut down BHR challenges. It doesn't. Here's what it actually decided and why rigorous factual challenges at first instance remain essential.
When Insurers Try to Intervene: What the Case Law Actually Says
A strategy guide to defeating intervention arguments in credit hire, grounded in Copley v Lawn, Manton Hire, Sayce v TNT and Bee v Jenson.
More from the CaseFlow family
Frequently asked questions
See CreditHire Assist in action
Visit the product website for its current demonstrations, or contact us to discuss your workflow.