Retention and GRR
Bring product usage, service, financial and relationship signals together. Surface risk early, name an owner and make save actions visible before renewal pressure arrives.
OPERATING FRAMEWORKS
Five disciplines.
One operating agenda.
The work of post-sales leadership is to protect recurring revenue, earn expansion, improve service economics and build an operating model that can scale. AI should strengthen each discipline, not sit beside the business as a disconnected programme.
THE PREMISE
Growth gets attention. The installed base determines how much of it becomes durable.
What happens after signature determines whether revenue is retained, expanded and delivered profitably. These outcomes cannot be managed in isolation.
The operating disciplines below connect customer value, people, process, technology and economics. They are shaped by operating experience inside global businesses and by the teams doing the work.
THE FIVE DISCIPLINES
Five areas every post-sales leader must connect.
AI is a cross-cutting capability. It should remove repeatable work, improve decisions and strengthen the customer experience while keeping ownership clear.
Expansion and NRR
Use adoption, realised value and customer readiness to identify where expansion makes sense. Treat NRR as an earned outcome, not simply an upsell target.
Cost-to-serve
Understand demand by segment, product and complexity. Remove avoidable effort, redesign service tiers and measure cost per outcome without damaging quality or customer trust.
Operating model and governance
Clarify account ownership, decision rights, data definitions, capacity, escalation and management cadence. Good execution should not depend on a handful of heroic people.
AI-enabled operations
Apply AI to voice and chat, agent assist, knowledge, quality review, translation, risk signals and forecasting. Start with the work and the decision, not the tool.
Read the AI perspective ↗AI AS AN OPERATING CHOICE
AI multiplies what is already disciplined.
It does not fix an unclear process, weak knowledge or fragmented ownership. It can make a broken process faster and harder to control. The test is whether the work, decision or customer outcome actually changes.
After deployment, ask:
- Which task or decision is removed?
- Which customer or employee outcome improves?
- What changes in handling time, quality and fully loaded cost?
- Who owns exceptions, controls and the result?
GLOBAL DELIVERY AND OFFSHORING
Start with the work. Then choose the location.
Offshoring should improve the operating model, not just reduce the wage bill. The measure is total cost and customer outcomes, not cost per seat.
Design around customer need
Keep proximity for executive relationships, sensitive escalations and decisions where local context changes the outcome.
Pool repeatable work
Use regional or global hubs where shared knowledge, specialist capability, language coverage and scale improve consistency.
Move ownership with the work
Transfer process knowledge, quality standards, decision rights, escalation paths and clear global-versus-local accountability.
Measure total economics
Track cost per resolved outcome, rework, quality, customer effort, resilience, capacity and retention impact.
A PRACTICAL 90-DAY SEQUENCE
Establish control before scaling change.
The exact pace depends on the business. The sequence matters more than the calendar.
See the economics
Baseline GRR, NRR, cost-to-serve, customer outcomes, workload and capacity. Confirm definitions, data quality and accountable owners.
Fix the constraints
Prioritise a small number of retention, expansion, service and AI opportunities. Stabilise workflows and controls before increasing automation.
Scale what works
Expand proven changes, shift capacity to higher-value work and review revenue, quality, productivity and customer impact together.
OPERATING REVIEW
Ten questions I use to frame the review.
A static discussion guide for testing evidence, ownership and execution. It is not a score or an external benchmark.