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Customer Service · 8 November 2026

Kensington Mortgages Completes Amazon Connect Servicing Migration

Kensington Mortgages has completed migrating its Servicing contact centre to Amazon Connect, the AWS cloud platform, in a second phase delivered by Sabio Group. The reporting does not disclose outcomes or timelines.

Newsdesk
Curated briefing · 2 min read

What happened

Kensington Mortgages has completed the migration of its Servicing operation to Amazon Connect, the cloud contact centre service from Amazon Web Services, according to Call Centre Helper. The move moves the lender's customer servicing contact handling away from an on-premises telephony platform and onto a cloud-native solution.

The migration is the second phase of a contact centre transformation programme delivered by Sabio Group. Sabio's role across both phases points to a sequenced programme rather than a single cutover, with the Servicing operation following earlier work on the wider contact centre estate.

The reporting available to us is a summary and does not set out detailed outcomes, timelines or performance measures, so the scope of what has changed for customers and agents should be read as the platform move itself, not as a reported result.

Why it matters

Moving telephony from on-premises hardware to a cloud platform changes more than the infrastructure. It alters how calls are routed, how agents see customer data, how supervisors monitor queues and how new channels can be added without a hardware refresh. For a mortgage lender, servicing is often the most repeat-heavy part of the customer relationship, with people calling about payments, balances, product changes and arrears. Those are moments where a clean handover between systems and agents has an outsized effect on trust.

The phased approach also matters. Treating the Servicing operation as a distinct second phase suggests the programme has been broken into bounded parts, each with its own cutover risk. For leaders in digital transformation, that sequencing is often what separates a migration that stabilises quickly from one that drags on.

The Renascence take

Most coverage of this kind of announcement will focus on the platform name and the vendor. The more useful question is what the customer experiences during the weeks around a cutover, when routing rules, call flows and agent desktops are all in flux.

Customers never see a telephony platform; they see whether the agent already knows why they are calling. The behavioural principle underneath is that continuity of context matters more than the technology that carries the call, so the cloud move should be judged by whether a repeat caller still has to explain their situation twice. A customer-obsessed operator should map the top servicing journeys before touching routing logic, run the new flows with a pilot cohort, and set a rule that no phase goes live until handover quality is measured, not assumed.

Sources

This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.

FAQ

Questions we get on this topic

Kensington Mortgages has completed the migration of its Servicing operation to Amazon Connect, the cloud contact centre service from Amazon Web Services, according to Call Centre Helper. It moves customer servicing call handling from an on-premises telephony platform to a cloud-native solution.

The migration is the second phase of a contact centre transformation programme delivered by Sabio Group. The reporting describes the Servicing operation as following earlier work on the wider contact centre estate.

No. The available reporting is a summary and does not set out detailed outcomes, timelines or performance measures, so the change should be read as the platform move itself rather than a reported result.

Cloud telephony changes call routing, how agents see customer data, how supervisors monitor queues and how new channels are added. For mortgage servicing, where customers call about payments, balances and arrears, a clean handover between systems and agents strongly affects trust.

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