Temenos API-Led Integration: Connecting KYC, LOS, and CRM to Temenos Transact for Straight-Through Loan Processing

A mid-sized UK retail bank processing around 2,500 loan applications a month had just completed a Temenos Transact migration. The core was live, reconciliation numbers looked clean, and leadership had signed off. The operations team was still doing three hours of manual work per loan application. When we came in, the answer was obvious: five systems, zero integrations. KYC sat in one corner, the LOS in another. The CRM held customer data that the loan system had never seen. Notifications fired on a hardcoded schedule with no connection to where customers actually were in their journey. Transact -the expensive, recently implemented core -was being treated as a read-only system by everything around it. Nearly 28% of customers who started onboarding dropped off before completion. Not because the product was wrong. The experience just made it feel broken.

Problem Statement

No integration existed between Transact and the five surrounding systems-KYC, LOS, CRM, onboarding portal, and notifications. Every handoff was manual or held together with scripts nobody owned. This is one of the most common gaps in a core banking transformation-the core gets implemented, the surrounding ecosystem doesn't
Staff transcribed KYC results by hand into Transact for every single customer. The two systems had never been formally connected
18% of customer records were duplicates-nothing was checked in CRM or Transact before opening a new record
The LOS made credit decisions against stale product parameters. Transact had the live rules; the LOS just couldn't see them. That gap drove a 22% application rework rate
Notification triggers were hardcoded into the portal. Customers got updates when the portal thought something had happened, not when it actually did
One slow system stalled the entire process. No retry logic, no fallback, no visibility into where the queue backed up
Failures were invisible until a customer complained. Diagnosing anything meant logging into each system individually

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Solution Approach

How We Built a Three-Layer API Integration Across Five Core Banking Systems

Scoped and delivered the full 5-system integration in 14 weeks - against the bank's own internal estimate of 22 weeks. That timeline was only possible because the three-layer API structure meant each connector could be built and tested independently without waiting on other workstreams
Designed a three-layer API structure - experience, process, system - using MuleSoft. Each layer owns one job and changes independently, part of how our API integration services are structured
Built dedicated connectors for all five platforms, normalising outputs into a shared data schema - downstream systems stopped caring what format the source used
Deployed Camunda BPM to own the full loan and onboarding journey - proper workflow definitions, retry logic, and audit steps. Something that needed to exist, not just be bolted on
Put a deduplication check at the very start of onboarding. New applicant matched against both CRM and Transact before any record gets created. Duplicates stopped at the door
Built a transformation layer between the KYC platform and Transact - vendor output mapped automatically to Transact's schema. Manual transcription was removed entirely
The Kafka migration was trickier than expected - consumer lag under peak load required tuning the partition strategy mid-build. Worth flagging because it's the kind of thing that slips timelines if you don't catch it early
Switched notifications to a Kafka topic model. Each milestone - KYC cleared, decision made, account opened - fires its own event. The notification engine listens independently
Three things hit harder than expected -Temenos's account. The API returned nested objects the KYC layer couldn't handle, an OAuth token conflict between Azure AD and the onboarding portal only surfaced under concurrent load, and Kafka needed a partition rethink mid-build. None were blockers, but all three would have slipped the timeline if caught later
Stood up the Elastic Stack across all systems. One place for every API call, every failure, every latency spike - instead of six separate logs

Benefits

What Changed After Integration: Ops, Compliance, and Customer Experience

Operations freed from screen-to-screen data entry - capacity is redirected to escalations and complex cases that actually need a person
Onboarding drop-off fell because customers finally knew where they were in the process - timely, accurate updates at each stage
Loan decisioning accuracy improved once the LOS had live product parameters - fewer wrong decisions and less back-and-forth
The monitoring shift was the quietest win. Failures surfaced in minutes rather than after a customer called
Audit trail completeness across all connected systems - every customer and loan event logged consistently, meeting SYSC recordkeeping obligations without a separate compliance workstream. Validated as part of the go-live sign-off

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