Introducing Deeplinq for AML

Connect the customer case to the live service state.

Coordinate CRM, billing, service health, and support knowledge through governed tools while every market keeps its own data and action boundary.

Join the customer case to the live service state.

A telecom assistant can connect CRM history, product entitlement, service health, and approved troubleshooting knowledge. It can coordinate the resolution without gaining open authority over billing or network systems.

Illustrative workflow. Deeplinq supplies the governed engine. Your systems and authorized people remain authoritative.

Reference workspaceTSM-INC-9087
Incident linked

Customer impact

Scope locked
  • Subscriber

    Household 4821

    Authenticated support session

  • Service

    Fiber 1 Gbit/s

    Access node ZRH-14

  • Symptom

    Intermittent outage

    Three drops in 42 minutes

  • Network

    Known incident

    27 subscribers affected

Systems

4

CRM, billing, OSS, knowledge

Incident

P2

regional degradation

SLA

01:18

remaining

Duplicate work

Avoided

case linked to incident

Authority boundary

The assistant may query approved service tools and prepare customer actions. Account credits and network changes remain behind explicit tool policy and operator approval.

Resolve the service story across CRM, OSS, and billing.

The agent correlates a customer symptom with service health before sending another generic troubleshooting script. Each system call uses a reviewed tool definition and the employee’s current authority.

Governed workflowLive policy at every step
  1. 01

    Verify the subscriber

    Bind the session to the operating company

  2. 02

    Read service health

    Query the assigned access node and open incidents

  3. 03

    Correlate impact

    Link the customer case to incident 9087

  4. 04

    Prepare communication

    Use the current market and product guidance

  5. 05

    Review account credit

    Apply market policy and approval threshold

  6. 06

    Close the loop

    Update the case after the incident clears

Operational context

  • Service test

    Degradation confirmed on ZRH-14

  • Incident

    Open and linked to 27 subscribers

  • Knowledge

    Fiber outage playbook / current

  • Billing tool

    Credit action requires approval

Evidence → review → action

Keep every resolution inside its market boundary.

Operating companies can share one gateway and control model economics centrally while customer data, knowledge, tools, and action policy stay isolated by tenant.

Operating recordContent-minimized engine audit
  1. 16:21Support

    Created a case from authenticated chat

    Swiss operating company selected

  2. 16:21Assistant

    Correlated service tests with an open incident

    No customer data crossed the market boundary

  3. 16:22Assistant

    Prepared a status update and credit review

    Current local policy cited

  4. 16:22Operator

    Credit review remains with support

    No billing action has executed

Control state

  • Market isolation

    Enforced

    Data, tools, and ledger share one tenant scope

  • Tool definitions

    Pinned

    Schema changes close the gate

  • Unit economics

    Measured

    Actual tokens settle by market and model

One service story, one controlled action path.

Deeplinq supplies the governed engine beneath the reference workflow, from live connector policy to exact model settlement.

  1. 01

    Correlate customer impact

    Join an authenticated support case to product entitlement, service tests, and open incidents before recommending the next step.

  2. 02

    Govern operational tools

    Review each OSS and BSS tool definition, close the gate when its schema changes, and require approval for sensitive actions.

  3. 03

    Separate every market

    Keep customer data, knowledge, tools, model grants, and usage inside the operating company’s tenant boundary.

  4. 04

    Control unit economics

    Route across hosted and self-hosted models, meter actual tokens, and settle cost by organization and model.

Bring one telecom service case.

We will map its customer context, OSS and BSS tools, market policy, approval thresholds, model routes, and operating evidence.

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