−19%
Customer churn
+11%
ARPU uplift, 6 months
9 mo → 4 wks
Time-to-market
0
Customer-facing outages
Client
Leading APAC Telecommunications Operator
Sector
Telecom
Duration
11 months
Team
47 specialists
01 · The challenge

Problem

BSS sat on a 20-year-old stack. Product launches required 9-month dev cycles. Churn was 18% and the regulator was tightening telco data rules.

02 · How we delivered

Solution

Catalogue-driven ODA-aligned BSS migration with parallel run, AI-powered retention engine on top. Zero customer-facing outages.

03 · Outcome

Impact

Churn down 19%. ARPU up 11% in six months. Time-to-market for new products from 9 months to 4 weeks. 100% migration with no customer-facing outage.

How we delivered

Programme phases.

Five phases. One accountable team. Every phase had a named decision point and a measurable outcome.

Discovery & alignment

2–3 weeks

Workshops with the Leading APAC Telecommunications Operator executive team, baseline metrics, target outcome tree, programme governance set up.

Design & architecture

4–6 weeks

Reference architecture, security blueprint, joint squad model agreed. Data model and integration contracts published.

Build & live-parallel

Q2 onwards

Vertical slice built and run live-parallel against the existing system. Continuous integration, daily deploys, weekly business demos.

Cutover & scale

Mid-programme

Phased cutover, audit-aligned reconciliation, scaling out of squads, capability transfer to Leading APAC Telecommunications Operator teams.

Run & continuous improve

Steady state

Managed run with named SLOs, quarterly value reviews, and a 15% optimisation budget reserved for improvement work.

Engineering view

Architecture overview.

Foundations

Cloud landing zone, identity, network, security baseline. Data fabric with lineage-by-default. Audit-grade observability stack from day one.

Application & integration

Domain-aligned microservices behind a published API surface. Event-driven core with CDC into the data fabric. Live-parallel capability built in, not bolted on.

Trust & governance

RBAC, audit logs, lineage, policy-as-code. Model risk records for every production model. Compliance posture on the executive dashboard, not in a quarterly slide.

Built on

Technology stack.

Production-grade choices, defended by track record. The stack is one engineering decision among many — but a load-bearing one.

Kubernetes Kafka TM Forum ODA GraphQL PostgreSQL Terraform
Trust by design

Governance & assurance.

01

Programme assurance

Independent assurance reviews at each phase gate. Findings tracked in a single risk register with named owners and remediation deadlines.

02

Security & data

ISO 27001, SOC 2 Type II controls applied throughout. Data lineage captured by default; sensitive data tokenised at the edge.

03

Audit-grade evidence

Every change tracked; every release reproducible. Audit packs assembled automatically for internal and external review.

04

Continuous compliance

Policy-as-code scans on every commit. Compliance posture surfaced on the executive dashboard, not in a quarterly report.

Their AI underwriting platform is the operating standard for personal credit in the region now.

V VP Customer Lifecycle · Leading APAC telecommunications operator

What we learnt

Three things we would do again.

  1. 01

    11 months from kickoff to first regulated outcome — squad density and decision velocity matter more than headcount.

  2. 02

    Joint squads with Leading APAC Telecommunications Operator engineers stayed in place after go-live. Ownership did not transfer in a hand-off — it grew in place.

  3. 03

    Live-parallel for a meaningful window before cutover bought us trust. The cutover itself was a flag flip, not a war room.

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