Service assurance & retention

Diagnose service issues before they become a cancellation

Nothing costs a telco more than a customer who troubleshoots the same fault three times and then calls to cancel. The information needed to fix it exists — across network monitoring, the device profile, and the billing record — just never in one place at the moment of the call. This blueprint checks the network before it asks the customer to reboot anything, and treats cancellation intent as a signal to route, not a script to survive.

AI WORKERSORCHESTRATED PROCESSHUMAN AUTHORITY3 roles, trust-scoped6 stages, each with an owner2 decision ownersCare workerDiagnostic workerProvisioning worker1Establish accessCare worker2Check the netwo…Diagnostic worker3Run approved te…Diagnostic worker4Remediate or ro…Provisioning work…5Watch for churn…Retention special…6Verify it heldDiagnostic workerNetwork specialistRetention special…CONTROLS AROUND EVERY STAGE4 guardrails · 4 decision rules · 4 channels · tamper-evident audit
The blueprint at a glance — worker roles feed the orchestrated stages, and the dashed paths are the escalations into human authority.
The team
3 AI worker roles escalating into 2 human decision owners.
The process
6 orchestrated stages, each with a named decision owner.
The channels
Voice, Web chat, SMS, WhatsApp on one shared context.

The shift

What breaks today, and what changes

The challenge

  • Customers are walked through device troubleshooting for a fault the network already knows about.
  • Agents pivot between network, provisioning, device, and billing systems while the customer waits.
  • Repeat faults are handled as new contacts, so the pattern that predicts churn is never acted on.

What changes

  • Known incidents are checked first, so nobody is asked to reboot a router during a confirmed outage.
  • Routine provisioning and configuration faults resolve inside the conversation.
  • Repeat-fault and cancellation signals reach a retention or network specialist with the full history.

The team

Every seat has one job and a defined level of autonomy

This is what gets configured in Team Canvas: role-scoped AI workers, the humans they escalate into, and a trust level on each connection that sets what a worker may do on its own. Trust starts tight and widens on evidence.

AI workers

  • Care worker

    Establishes account access and understands what the customer is actually experiencing.

    Owns
    Intent and account context
    Trust level
    Acts within policy — read-only until access level is established
  • Diagnostic worker

    Checks known incidents and line state first, then runs approved device and service tests.

    Owns
    Guided technical resolution
    Trust level
    Acts within policy — only pre-approved diagnostic actions
  • Provisioning worker

    Applies safe configuration and provisioning fixes that resolve the known fault classes.

    Owns
    Routine remediation
    Trust level
    Acts with approval — no change that alters plan or charges

Human decision owners

  • Network specialist

    Owns complex, multi-line, and infrastructure faults.

    Owns: Complex fault resolution

  • Retention specialist

    Takes cancellation intent and repeat-fault customers with the full contact history.

    Owns: Save offers and commercial decisions

The process

The conversation starts the work. The workflow finishes it.

Each stage records the decision that was made and the role accountable for it — which is what makes the run reviewable afterwards rather than a black box. Where the platform executes a stage rather than a person or agent performing it, that is named too, and accountability still sits with the role.

  1. 1

    Establish access

    What access level is verified, and what may be discussed at that level?

    Care worker

  2. 2

    Check the network first

    Is there a known incident on this line before we ask the customer to do anything?

    Diagnostic worker

  3. 3

    Run approved tests

    Which approved diagnostic actually narrows this fault class?

    Diagnostic worker

  4. 4

    Remediate or route

    Is this a safe routine fix, or does it belong with a network specialist?

    Provisioning worker

  5. 5

    Watch for churn signal

    Repeat fault or cancellation intent? Route to retention with the history now.

    Retention specialist

    Run by workflow

  6. 6

    Verify it held

    Is the line still healthy after the fix, or has the fault returned?

    Diagnostic worker

    Run by workflow

Decision rules

The non-negotiables encoded in the workflow, not left to a prompt.

  • Known-incident checks always run before customer-side troubleshooting is suggested.
  • No plan, tariff, or charge changes without explicit customer confirmation captured in the record.
  • Cancellation intent routes to a retention specialist with full history — workers do not run save scripts.
  • A second fault on the same line within the configured window escalates automatically.

Controls & guardrails

What makes this safe to run in production, and provable afterwards.

  • Verified account access before any service or billing detail is discussed.
  • Pre-approved diagnostic actions only, with no ad-hoc network commands.
  • Explicit confirmation captured before any billable change.
  • Automatic escalation on repeat faults and cancellation intent.

Platform capabilities

What this blueprint runs on

Nothing here is bespoke. Each blueprint is a configuration of the same platform, which is why the second one you launch reuses the governance you already reviewed.

Channels

  • Voice
  • Web chat
  • SMS
  • WhatsApp

Systems it reads and writes

  • Network monitoring & incident feed
  • OSS/BSS provisioning
  • Billing
  • CRM & ticketing

Measurement

What we instrument from day one

These are the measurements the pilot puts in place, not benchmark results. You set the targets against your own baseline — and the same instrumentation is what decides whether a worker's trust level widens.

First-contact resolution

By fault type

Segmented by fault category so you can see which faults the blueprint genuinely resolves and which need specialists.
Repeat-fault detection

Same line, second fault

Links contacts to the line rather than the ticket, which is what surfaces the churn pattern early enough to act.
Save-route latency

Intent to specialist

Times how quickly cancellation intent reaches a retention specialist with context, instead of being absorbed by a script.

Rollout

How this one goes live

A deliberately narrow start, supervised, with autonomy widened per role once the record supports it.

  1. Weeks 1–3

    Incident checks and triage

    Start read-only: verify the account, check known incidents, and triage. This alone removes the reboot-during-an-outage conversation.

  2. Weeks 4–6

    Approved diagnostics and safe fixes

    Enable the approved diagnostic set and the safest remediation class, with approval gates on anything touching provisioning.

  3. Week 7+

    Retention routing and tuning

    Turn on repeat-fault and churn-signal routing, then tune fault-class coverage against first-contact resolution by segment.

Questions we get asked

Service assurance & retention, in practice

Will it ask customers to reboot during a known outage?
No — the known-incident check runs before any customer-side troubleshooting is offered. If the network already knows about the fault, the customer gets the incident position and proactive updates instead of a diagnostic script.
Can it change a customer’s plan or add charges?
Not without explicit confirmation captured in the record, and plan changes sit behind an approval gate by default. The provisioning worker is scoped to configuration fixes that resolve faults, not commercial changes.
What happens when a customer says they want to cancel?
Cancellation intent routes to a human retention specialist with the full contact and fault history attached. The workers do not run retention scripts — a save conversation is a commercial judgement, and holding a frustrated customer in self-service is what turns a fault into a churn event.

What changes in Telecommunications

Known-outage checks run before customer-side troubleshooting, and plan or charge changes need explicit confirmation.

Read the full Telecommunications analysis

Related blueprints

Next step

Build this team around one measurable win.

We map your version of this process, compose the worker roles, connect your systems, and agree the escalation points with the people who own them — then run it supervised.