← Back to Work
Global Enterprise Technology Company

Driving Subscription Renewals with an API-First CX Platform and Data Mesh

When the business shifted from perpetual licensing to subscription, the organization needed 'data-to-renewal' execution—not AI theater. A global CX Cloud Platform organization was established to ship reusable APIs, a governed data mesh, and an Analytics & AI Center of Excellence that automated and personalized customer lifecycle motions—supporting 500k+ customers and attributing nine-figure incremental renewals.

Client identity protected; deeper technical/financial breakdown available under NDA.

Nine-Figure

Attributed incremental renewals

500k+

Customers supported

2M+

Streaming telemetry assets

50+

Person global team

Challenge

The move to subscription required a step-change in lifecycle execution: better telemetry coverage, consistent customer data, and automation/personalization that could scale globally. The organization needed a unified charter, modern architecture, and governance mature enough to support recurring-revenue accountability.

What we did

  • Unified global teams into a single chartered organization (50+ people across multiple geographies) with clear operating cadence and accountability.
  • Developed CX data mesh strategy and cloud platform engineering roadmap—so teams could reuse capabilities instead of rebuilding them.
  • Launched cloud-native APIs that automated and personalized lifecycle motions across a large subscription customer base.
  • Established an Analytics & AI Center of Excellence in partnership with the CTO organization to standardize delivery and governance patterns.
  • Defined CDP decisions, canonical data strategy, and data governance frameworks.

Results

  • Attributed nine-figure incremental renewals via the CX Cloud platform.
  • Enabled lifecycle automation/personalization supported by telemetry streams spanning 2M+ assets.
  • Created reusable platform primitives (APIs + governance patterns) that reduced time-to-deliver for subsequent analytics/AI initiatives.

Strategic impact

This work put durable 'data-to-renewal plumbing' in place—reusable APIs, a governed data mesh, and an AI/analytics operating model—so renewal improvement became a repeatable capability rather than a one-off project. It also gave finance and leadership a clearer line of sight from platform investment to recurring-revenue outcomes.

Optics + governance

  • Framed AI as a retention and customer-success accelerator (augmentation), not a cost-cutting headcount story.
  • Established governance patterns early (canonical data, CDP standards, API contracts) to reduce downstream integration risk.
  • Maintained attribution discipline so ROI claims remained finance-defensible.

Quick facts

Industry
Enterprise Technology (SaaS / Subscription)
Primary Stakeholders
CIO/CTO, CX leadership, CFO/Finance, CDO/Data leaders
Scale
Global teams (US/CA/UK/IN); 500k+ customers
Methods
Data mesh; cloud-native APIs; AI/ML deployment; CDP; canonical data strategy

Related services

AI Transformation DeliveryData Platform & ArchitectureAnalytics COE & Governance

Key deliverables

Platform roadmap and operating cadence

Cloud-native API suite for lifecycle automation

Analytics & AI Center of Excellence charter

Data governance frameworks and canonical data strategy inputs

Start with an AI Value Creation Sprint to identify the highest-ROI lifecycle and cost levers, then move into AI Transformation Delivery for pilot → production → scale.