LND // For Lenders · Servicing & payments

Servicing that runs itself, not a call centre with tickets.

The average lender is spending £30–£80 per active loan per year on servicing. Most of that is repeat DD failures, mid-term changes, restructure requests and payment-date queries — every one of which is automatable. We build the servicing brain that turns the call centre into an exception desk.

BuyerCOO · Head of Servicing · Head of Payments← All lender capabilities
The problem

Where the servicing cost actually lives.

Pull any lender's servicing ticket distribution and the same story falls out. 20% of tickets are 'when does my payment come out'. 15% are 'can I change the date'. 15% are 'can I settle early'. 10% are 'I've had a change of circumstances'. 10% are 'my DD failed'. That's 70% of the servicing load, and every one of it is answerable in-portal by a support copilot grounded in the borrower's own loan file — with a policy-scoped decision path for the ones that need action.

The lenders that have shipped this brain have collapsed servicing cost by 40–70% and freed the human team to work on the 30% of tickets that actually need a human — arrears intent, complaints, vulnerable-customer conversations. The lenders that haven't are still recruiting servicing agents in Manchester and Manila.

What good looks like

What good servicing looks like in 2026.

A servicing brain wired into your LMS, your payment rails and your borrower portal. It should produce:

  • DD orchestration across GoCardless / Bacs / Modulr / ClearBank with intelligent retry, backup rails and pre-fail communication.
  • Mid-term change automation — DD date change, direct-debit account change, payment holiday, term extension — with policy-scoped decision paths and full audit trail.
  • Settlement quote generation on demand, in the borrower portal, with per-loan-type interest calculations correctly applied.
  • Restructure and forbearance workflows templated per product, per arrears state, per vulnerable-customer classification.
  • A servicing operator UI where the team sees every automated action, every escalation and every borrower conversation in one place.
What KJ Capital ships

What KJ Capital ships.

A bespoke servicing brain that sits above your LMS and your payment rails. We deliver:

  • DD orchestration across GoCardless, Bacs, Modulr, ClearBank and any alternate rails you use.
  • Mid-term change automation for the eight most common changes, with policy-scoped decision paths.
  • A settlement-quote engine correct for every product on your book.
  • Restructure and forbearance templates aligned to FCA CONC 7 and your internal treatment policy.
  • A servicing operator UI plus a support-copilot layer for the borrower portal.
Typical outcomes

What lenders actually see after go-live.

Tickets containable in-portal / by copilot
60–80%
Servicing cost per active loan
-40 to -70%
DD failure recovery rate
+15 to +30%
Time from kickoff to production
8–10 weeks
Frequently asked

What buyers ask us about this build.

Q01Do you replace our LMS's built-in servicing?+
No. We sit above. Mambu, nCino, LendingWise and Sopra's servicing modules remain the systems of record; the AI brain orchestrates policy, communications and exceptions.
Q02How is this Consumer Duty compliant?+
Every automated servicing action is policy-scoped, audit-logged and passes vulnerable-customer signalling to a human where required. The evidence base is stronger than manual servicing.
Q03How does this integrate with our collections engine?+
Cleanly. Pre-arrears signals from the servicing brain feed the collections engine; collections outcomes feed back into servicing risk-scoring.
Q04What about Bacs / DD scheme rules?+
We're fluent. DD indemnity, DDIC, ARUDD, ADDACS, AUDDIS, DDICA handling is all covered — including scheme-compliant borrower communications ahead of failures.
Q05Price?+
Productised Build: from £95k, 8–10 weeks. Continues on the AI Operator retainer once live.
Next step

Two weeks. £15k. A written blueprint and a working proof-of-concept on your loan book.