Telecom

Millions of subscribers, thousands of scenarios: billing, outages, fraud and offers on one layer.

Telecom operations mean volume and variety: bill disputes, SIM changes, outage reports, plan upgrades. Aginies runs these end-to-end with agents connected to billing, provisioning and network systems; transactions carrying fraud risk route to people by risk score.

In short

In Telecom, Aginies offers 5 live agent scenarios and 3 solution packages: Subscriber care assistant: bill, plan, fault and contract, Bill dispute resolution, SIM swap fraud check, Network outage communications, Plan upgrade advisor; solutions: Call-centre quality monitoring, Voice analysis & quality, Subscriber care and network support. The blockers on the way to production are Bill-dispute volume, SIM-swap fraud, Outage communication, Offer timing; on the compliance side 3 requirements (including Subscriber data in-country; personal data masking) are part of the deployment.

Why it does not reach production
01

Bill-dispute volume

The call centre jams every billing cycle; most disputes fit a handful of patterns.

02

SIM-swap fraud

A process squeezed between speed and security; costs in both directions.

03

Outage communication

Affected subscribers call in before anyone informs them.

04

Offer timing

Usage data exists; the right offer at the right moment does not.

Where to start: the first 90 days

Three starting points; each measurable in a short pilot on existing systems.

  1. 01
    agent scenarioSubscriber care assistant: bill, plan, fault and contract →

    Multi-topic calls are the costliest; one-session resolution cuts average handling time directly.

  2. 02
    agent scenarioBill dispute resolution →

    Bill disputes are high-volume and rule-based; the BSS integration is enough for the first pilot.

  3. 03
    agent scenarioSIM swap fraud check →

    High fraud risk, clear rule set; goes live quickly with human approval retained.

Scenarios

Agents you can watch live for this sector

Sector architecture

Derived from the 5 scenarios in the sector: supervisors, specialist agents, Hub model families and systems touched.

Supervisors
Subscriber Care SupervisorBilling SupervisorSIM Security SupervisorOutage Communications SupervisorPlan Supervisor
Specialist agents
Dialogue AgentAccount AgentNetwork AgentRetention AgentIntent AgentBill Analysis AgentAdjustment AgentRisk AgentVerification AgentProvisioning AgentDetection AgentImpact AgentCommunications AgentUsage AgentOffer Agent
Models (Hub catalogue)
aginies-talay-2aginies-sunkar-1aginies-tulpar-4
Systems touched
IVR / SIPBSS / BillingOSS NetworkCRMSMS GatewayBilling (Amdocs)Usage Mediation / CDR StoreSalesforce CRMHLR / ProvisioningBank SIM-Swap Signal APIServiceNowNetwork OSSProduct Catalogue / Offer EngineWhatsApp Business API
Channels
voiceappwhatsappbranchapismsbatch
Simulation volumes
592,400runs / month
95.0%success rate
7.3 smedian duration
$0.0016estimated cost / run

Summed from the simulation definitions of the sector scenarios; recalculated for your scale in the discovery session.

Compliance and sovereignty
  • Subscriber data in-country; personal data masking
  • Human approval on SIM changes and high-value adjustments
  • A trace for every write to billing and provisioning
Regulatory frame
  • Telecom regulator rules and the electronic communications law: subscription, contract and number-porting operations recorded and traceable
  • Personal-data law and traffic data: subscriber data in Türkiye, recordings and transcripts masked
  • SIM swap and identity operations: extra verification and human approval; suspicious requests to the fraud team
Security →

Guardrails, approval and the evidence ledger: the compatible product Thulpar ↗

Recommended deployment

Sovereign shared deployment or a dedicated tenant in the operator’s own data centre; speech models on in-country GPUs, connected to the existing switch over SIP.

Approval rules

Human-approval thresholds of the sector scenarios.

  • Subscriber care assistant: bill, plan, fault and contractContract cancellation, bill correction above 500 or technician priority → representative approval
  • Bill dispute resolutionGoodwill credit > 75 → team lead approval
  • SIM swap fraud checkRisk score ≥ 70 or credential change within 72 hours → fraud desk approval
  • Network outage communicationsAffected subscribers > 10,000 or P1 outage → network operations manager approval
  • Plan upgrade advisorCommitment-based or discounted bespoke offer → campaign manager approval
Measured targets
Requests resolved without a representative60–70%
Unnecessary technician visits35–45% fewer
Average handling time40% shorter

Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.

Related solution packages

Time to move from experimenting with AI to transforming with it.

In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.

Book a 30-minute discovery session → dahi@aginies.com
  1. Your 2–3 priority problems
  2. Live demo of a similar scenario
  3. Roadmap starting with value analysis