What problem does it solve?
The weeks between "I want to join" and "it works" generate many of a new customer's first contacts. Customers ask where their SIM or router is, why the number transfer has not happened, how to install an eSIM, why the service is not active yet, or when the engineer will come. Each step (identity check, credit check, porting, provisioning, delivery, installation) sits in a different system, and nobody in the contact centre sees the whole order at a glance.
A stuck order also gives a new customer a reason to cancel within the cooling off period. eSIM removes the wait for a SIM card in the post, but customers still get stuck on QR codes, device compatibility and transfers between phones, and a failed download can need a person to reissue the profile.
How does it work?
- Take or find the order. The assistant either captures a new order (plan, device, number transfer, address) or finds the existing one after identity verification.
- Check each step. Through order, porting, logistics and provisioning tools it sees which step is complete, which is pending and which has failed.
- Guide the customer. It walks the customer through their part: confirming the porting code, scanning the eSIM QR code on a compatible device, inserting the SIM, or choosing an installation slot.
- Fix or escalate the stuck step. Within its permissions it reissues an eSIM profile, resubmits a porting request or rebooks an appointment; anything needing a person (a failed identity check, a credit referral, fraud signals) goes to a specialist with the order history.
- Confirm the service works. It checks activation and sends the customer a clear summary of what they bought and what happens next.
- Audience
- Customer facing
- Autonomy
- Supervised agent
- Adoption
- Emerging
- Channels
- WhatsApp, Mobile app, Web chat, Phone and voice
What is it worth?
Benchmarks are computed from the public deployments below: one data point per organization per KPI, with who made each claim.
| KPI | Median | Reported range | Data points | Claimed by |
|---|---|---|---|---|
| Automation rate | Too few to pool | 76% | 1 | 1 organization |
Value drivers: Customer experience, Speed and cycle time, Lower cost to serve, Revenue growth.
Indicative value
An operator that activates 400,000 new mobile and broadband connections a year
USD 180,000 to USD 960,000
Human handled order contact cost avoided per year
How this is calculated
Formula: activations * contactRate * resolvedShare * costPerContact. The low scenario uses every low input, the high scenario every high input.
| Input | Low | High | Basis |
|---|---|---|---|
| New connections and activations per year activations, activations per year | 400,000 | 400,000 | The reference operator. |
| Assisted contacts per activation between order and working service contactRate, contacts per activation | 0.3 | 0.5 | Editorial assumption, replace with the order and activation share of your contact reason report. |
| Share of those contacts the assistant resolves without a human resolvedShare, fraction of contacts | 0.3 | 0.6 | Conservative against the benchmark on this page (Singtel reports 76% of roaming sign up requests completed without a Customer Care officer), because porting and failed identity checks need people. |
| Cost of a human handled order contact costPerContact, USD per contact | 5 | 8 | Editorial assumption, replace with your own fully loaded cost. |
What it leaves out: Gross avoided contact cost only. It leaves out fewer cancellations in the cooling off period, faster time to revenue, the cost of the AI and the order and provisioning integrations, and the fraud controls that activation and porting need.
Who already uses it?
3 public deployments, strongest evidence first. Grades: A regulator or audit, B the organization itself, C vendor case study, D anonymous or estimate.
Singtel
Singapore · Telecommunications · 2026
In a partnership announced on 4 March 2026, Singtel upgraded the customer care assistant Shirley of Singtel Singapore with Sierra's agentic AI, starting with a pilot that went live in under ten weeks. Shirley verifies customer details, resolves mobile and home troubleshooting, completes roaming sign ups and understands local expressions including Singlish; customers purchased more than 200 roaming add ons independently. In its first six weeks it handled over 70,000 cases. Singtel Singapore also says it will deploy voice AI agents for outbound sales calls within defined compliance and governance standards.
- Containment rate: 73%, mobile and home troubleshooting cases, initial results after launch
"73% of mobile and home troubleshooting cases were resolved without requiring a Customer Care officer."
Claimed by: organization - Automation rate: 76%, roaming sign up requests, initial results after launch
"76% of roaming sign-up requests were completed successfully without requiring a Customer Care officer."
Claimed by: organization - Interactions handled: at least 70,000, first six weeks after launch
"Singtel went live in less than 10 weeks, and in the first six weeks since launch, ”Shirley” handled over 70,000 customer cases involving high volume requests in areas such as mobile issues and roaming services."
Claimed by: organization
Verizon
United States · Telecommunications · 2025
In June 2025 Verizon announced a customer experience overhaul: a Customer Champion who owns complex issues end to end, drawing on Google Cloud AI including Gemini models, 24/7 live chat with human agents, and a new My Verizon app, which includes an AI powered Verizon Assistant, in which customers can become a customer, manage upgrades, add lines and ask billing questions. Verizon describes the assistant as voice enabled for mobile customers. Verizon's chief executive framed the programme as a way to build loyalty and improve retention. No outcome figures were published.
No outcome disclosed.
Reliance Jio
India · Telecommunications · 2023
Jio runs a WhatsApp assistant built with Haptik with more than 900 intents. It covers the 5G customer lifecycle end to end, from lead generation and buying a 5G device to porting into Jio, choosing and buying plans and customer care, with separate journeys for prepaid and postpaid, and sends proactive top up and recharge reminders. Haptik reports that the channel acquires 8,000 new Jio Fiber and 5G customers a day.
No outcome disclosed.
How do you implement it?
A model agnostic playbook: what to prepare, the order to build in, and what goes wrong.
Data you need
- Order status per step, available by API and close to real time
- eSIM and device compatibility information with an owner and review date
- Porting rules and error codes with their fixes
- Contact reasons for new customers in their first 60 days
Systems to integrate
- Order management and CRM
- Number porting system
- eSIM profile management and SIM provisioning
- Logistics tracking and field service scheduling
- Identity verification and fraud screening
Complexity: High
The order journey crosses identity, credit, porting, logistics, provisioning and field service systems, often with batch updates. Actions such as reissuing an eSIM or resubmitting a port are also the ones fraudsters target, so identity and fraud controls must be strong.
- 1
Map the order journey and where it breaks
List every step from order to working service, the system that owns it and the most common failures, using contacts from customers in their first 60 days.
- 2
Start with status and guidance
Order status, delivery tracking, installation slots and eSIM installation guidance are read only and high volume. Launch these before any action that changes the order.
- 3
Add fixes with fraud controls
Reissuing an eSIM, resubmitting a port or changing a delivery address are attractive to fraudsters. Put step up verification and fraud checks in front of each of them.
- 4
Close the loop on activation
Have the assistant confirm the service is active and summarise the purchase, so the first bill does not become a second contact.
- 5
Measure per step
Track completion and drop out per journey step, not only per conversation, and fix the systems behind the steps that fail most.
Guardrails
- Step up identity verification before any eSIM reissue, SIM swap, port or address change
- Fraud screening on every action that moves a number or a SIM
- Credit and identity decisions stay in the existing governed processes
- Clear confirmation of plan, price and contract terms before the order is placed
- Handover to a person on request and after repeated failure of any step
KPIs to instrument
- Share of orders activated without an assisted contact
- Time from order to working service, per product and channel
- eSIM and porting failures resolved by the assistant versus escalated
- Cancellations within the cooling off period
- Fraud attempts caught at SIM and porting steps
Human in the loop
Specialists handle failed identity checks, credit referrals, suspected fraud and porting disputes. The fraud team approves every action the assistant can perform on a SIM or number, and operations review stuck orders the assistant escalated each day.
Common failure modes
- SIM swap and porting fraud
- A weakly verified request moves a victim's number to a fraudster. Verify strongly and screen every SIM and port action.
- Status the systems do not know
- The assistant reports a step as done because a batch update has not run. Show the time of the last update and escalate stale orders.
- Device compatibility guesswork
- The assistant tells a customer their phone supports eSIM when it does not. Use a maintained compatibility list, not the model's memory.
- Dead ends for new customers
- A new customer stuck in automation cancels. Offer a person after repeated failure.
What are the risks and rules?
EU AI Act
Limited risk (transparency)
A customer facing assistant must disclose that it is AI (Article 50). Biometric verification whose sole purpose is to confirm that a person is who they claim to be is excluded from remote biometric identification in Annex III point 1(a); creditworthiness assessment of individuals (Annex III point 5(b)) would be high risk and belongs in a separate governed process.
Rules that apply
Guidance
- Article 50, transparency obligations for providers and deployers of certain AI systems (European Union, Europe). People must be informed that they are interacting with an AI system unless this is obvious from the context.
- Simpler and quicker broadband switching is here (Ofcom, Europe). Under One Touch Switch, UK landline and broadband customers only contact their new provider, and providers must compensate customers if the switch goes wrong or leaves them without service for more than one working day, which sets the bar for an activation assistant.
Controls to put in place
- AI disclosure at the start of every conversation
- Documented list of order actions with verification level and fraud checks per action
- Audit trail of every SIM, eSIM and porting action
- Regression tests on order scenarios, including fraud attempts, for every change
- Daily review of stuck and escalated orders
Frequently asked questions
- Can an AI assistant really complete sign ups and activations?
- For simpler orders, yes. In its initial results after launch, Singtel reports 76% of roaming sign up requests completed without a Customer Care officer. Jio's WhatsApp assistant, built with Haptik, covers the 5G journey from lead to porting and plan purchase, and Haptik reports it acquires 8,000 new Jio Fiber and 5G customers a day. Complex orders with credit checks still need people.
- Is there public evidence for AI in eSIM onboarding specifically?
- None of the deployments on this page publishes results for eSIM onboarding specifically. The evidence covers sign up, porting and plan purchase in general; eSIM guidance and profile reissue are a natural extension, with strong identity checks, because reissuing an eSIM moves the number to a new device just as a SIM swap does.
- How do we stop the assistant from enabling SIM swap fraud?
- Treat every SIM, eSIM and porting action as high risk: step up verification, fraud screening and an audit trail for each, and route anything unusual to a specialist.
How to cite this page
Blits.ai AI Use Case Library, "AI assistant for telecom order to activation and eSIM onboarding", last verified 26 September 2026, https://www.blits.ai/ai-use-cases/order-to-activation-and-esim-onboarding-assistant. Licensed under CC BY 4.0. Method: how we verify use cases.
Changelog
- 27 September 2026: First published