AI Customer Success Management
Proactive intelligence and governed automation
Customer success that acts before risk becomes churn.
AssurSight AI CSM combines proactive success intelligence with governed automation—detecting risk, identifying adoption gaps, recommending next actions and coordinating approved workflows.
- Portfolio risk detection
- Next-best-action guidance
- Governed autonomy
- Outcome tracking
AI Success Command CentrePortfolio overview
Signals livePriority signalsRanked by impact
!
Northstar Finance
RiskConnector health declining and review overdue
↗
Acme Health
AdoptionVulnerability service adoption below target
+
Elara Retail
OpportunityReporting engagement and service usage increasing
Recommended next actionSchedule a service recovery review
Draft communication, evidence summary and engineering tasks are ready for approval.
Two operating modes. One customer-success system.
Start with evidence-backed recommendations, then introduce controlled autonomy only where the operating model and approval policy support it.
Proactive Success Manager
Give every success manager a prioritised view of customer risk, adoption and growth potential before the next scheduled review.
- Detect risksIdentify deteriorating service health, stalled onboarding, overdue actions and weakening engagement.
- Recommend actionsBuild evidence-backed next steps tailored to the account and current service state.
- Identify adoption gapsFind contracted services, missing telemetry or capabilities that are not yet delivering value.
- Surface commercial opportunitiesHighlight renewal and expansion signals when service evidence supports them.
Autonomous Success Manager
Progress routine success activity automatically while keeping customer communications and material decisions under provider control.
- Schedule reviewsCreate review cadences from risk, milestones, adoption and service events.
- Draft communicationsPrepare customer-safe emails, agendas and success summaries for approval.
- Coordinate engineeringCreate tasks, attach evidence, assign owners and track dependencies.
- Track outcomesMonitor whether actions complete, risk improves and customer value is realised.
A success model built from the service reality.
AI CSM connects operational, governance, adoption and commercial signals already present across AssurSight.
Health and telemetry
Customer health, degraded services, coverage gaps and failed integrations.
Actions and recommendations
Open work, ownership, due dates and evidence of remediation progress.
Documents and governance
Acceptance, renewals, incomplete packs and customer governance actions.
Service adoption
Enabled coverage, engagement and contracted capabilities that remain underused.
Onboarding and reporting
Readiness, stalled tasks, review cadence and engagement with published outcomes.
Commercial context
Renewal dates, service fit and qualified retention or expansion signals.
From signal to accountable outcome.
AI CSM turns evidence into a governed workflow and continues tracking until the customer outcome is clear.
- 1Observe
Collect service, customer, adoption and commercial signals.
- 2Prioritise
Rank risk and opportunity by urgency, impact and confidence.
- 3Recommend
Prepare the next-best-action plan with supporting evidence.
- 4Approve
Route communications and material actions through human gates.
- 5Coordinate
Schedule reviews and create tasks for success and engineering teams.
- 6Learn
Track completion, risk movement, adoption and realised value.
Example success playbook
Recover a declining account before the next review.
AI CSM detects worsening connector health, an overdue review and low adoption of a contracted vulnerability service. It proposes one coordinated recovery plan rather than three disconnected alerts.
- Customer-safe narrative explains the issue and business impact.
- Engineering work package includes affected services, evidence and a suggested owner.
- Review agenda focuses the meeting on recovery, adoption and agreed outcomes.
- Outcome checkpoint measures health recovery and adoption after the review.
Account at risk
Northstar Finance
Success score: 61 · down 12 points in 30 days
Risk detectedConnector health below threshold
Plan generatedRecovery review and engineering task
Communication draftedWaiting for approval
Outcome checkpointPlanned in 14 days
Governed by design
Autonomous does not mean uncontrolled.
Choose where AI may recommend, prepare, coordinate or execute. Customer-facing actions remain explainable, permission-aware and auditable.
Approval gates
Require approval for communications, meetings, commercial actions or execution.
Role and tenant controls
Respect customer scope, provider roles, data boundaries and delegated authority.
Explainable, policy-aware output
Show source evidence and use approved tone, terminology and escalation paths.
Audit and controlled rollout
Record decisions and introduce autonomy by workflow, customer or action type.
Designed to improve the economics of customer success.
Reduce the time spent assembling context and increase the time available for relevant, evidence-led customer action.
Detect deteriorating accounts before renewal, escalation or executive review.
Build agendas around current risk, adoption, actions and customer value.
Find contracted services and capabilities that are not yet delivering value.
Coordinate success and engineering work through repeatable playbooks.
AI-assisted assurance with citations
Explain gaps, recommend action and draft narratives from evidence.
AssurSight AI CSM can identify stale evidence, explain assurance gaps, recommend remediation and identify affected customers while preserving the source behind every recommendation.
Material conclusions, customer communications and regulatory drafts remain subject to provider-defined permissions and approval.
Explore AI Assurance
Suggested assurance narrative
Recovery readiness is partially evidenced because backup health is current, but the last restore exercise exceeds the 90-day evidence policy.
1 Backup integration · observed today 2 Restore exercise · observed 94 days ago 3 Provider evidence policy · 90 daysPut AI-led customer success to work.
See how proactive intelligence and governed autonomy can reduce risk, improve adoption and coordinate customer-success outcomes across your portfolio.