Telecomappwhatsappvoice

Plan upgrade advisor

Usage analysed, the right plan offered with a comparison; on acceptance the change provisions instantly.

In short

Plan upgrade advisor is an agent scenario in the Telecom sector running on the app, whatsapp, voice channels. Trigger: "I keep running out of data" message or add-ons in 3 consecutive months. The Plan Supervisor coordinates 3 specialist agents (Usage Agent, Offer Agent, Provisioning Agent) across 5 systems (Billing (Amdocs), Product Catalogue / Offer Engine, HLR / Provisioning, WhatsApp Business API, SMS Gateway); of 10 steps, 1 write to systems and 1 are checks or approvals. Outcome: New plan provisioned, consent time-stamped, customer knows the effective date. Approval rule: Commitment-based or discounted bespoke offer → campaign manager approval.

Telecom

Plan upgrade advisor

SUPERVISORAGENTSSYSTEMSPlan Supervisorplan · route · approveUsage Agentaginies-talay-2on-premOffer Agentaginies-tulpar-4on-premProvisioning Agentaginies-sunkar-1on-premBilling (Amdocs)Product Catalogue/ Offer EngineHLR /ProvisioningWhatsApp BusinessAPISMS Gateway
run #41,289,464elapsed 0 mstokens 0est. cost $0.000status —Approval rule: Commitment-based or discounted bespoke offer → campaign manager approval
Agents in this run
Plan Supervisorsupervisorplans, routes, approves
Usage Agentaginies-talay-2 · on-premPulls usage history and forecasts the coming period
Offer Agentaginies-tulpar-4 · on-premCompares eligible plans, presents the offer, interprets the reply
Provisioning Agentaginies-sunkar-1 · on-premRecords consent, changes the plan, informs the customer
Audit trail00:00.00
  1. ■completed 

Simulation · derived from real agent definitions · every agent can be built by dialogue with the Autonomous Agent and validated with a test corpus

Trigger

"I keep running out of data" message or add-ons in 3 consecutive months

Outcome

New plan provisioned, consent time-stamped, customer knows the effective date

Agents

SUPERVISOR

Plan Supervisor

Decomposes the objective, delegates to agents, manages approval points, merges the result.

aginies-talay-2 · on-prem

Usage Agent

Pulls usage history and forecasts the coming period

get_usage_historyget_current_planforecast_usage
aginies-tulpar-4 · on-prem

Offer Agent

Compares eligible plans, presents the offer, interprets the reply

get_eligible_planscompare_planscheck_campaign_rulessend_whatsappparse_reply
aginies-sunkar-1 · on-prem

Provisioning Agent

Records consent, changes the plan, informs the customer

record_consentchange_plansend_sms

Steps

#KindAgentWhat happensSystemmstok
01 ingest Plan Supervisor WhatsApp: "I run out of data every month, what should I do?" — 180 —
02 tool Usage Agent Last 6 months: 28 GB average usage, add-ons bought in 3 months (210 in total) Billing (Amdocs) 460 —
03 reason Usage Agent Current plan 20 GB / 349; forecast rising to 32 GB → upgrade fits — 620 560
04 plan Plan Supervisor Plan: eligible plans → comparison → guardrail → offer → consent → provisioning — 240 180
05 tool Offer Agent Eligible plans: 40 GB / 419, 60 GB / 479; no commitment Product Catalogue / Offer Engine 380 —
06 reason Offer Agent Recommendation: 40 GB / 419 → saves about 70 per month versus add-ons — 680 640
07 verify Offer Agent Guardrail: offer complies with campaign rules; price and commitment terms correct — 360 280
08 notify Offer Agent WhatsApp: comparison card with an "I accept" button; customer accepted WhatsApp Business API 1,400 300
09 write Provisioning Agent Consent recorded; plan change provisioned effective from the next billing cycle HLR / Provisioning 520 —
10 notify Provisioning Agent SMS: new plan summary and effective date SMS Gateway 220 —

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