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Telco AI

AI for the network — from RAN to customer.

Yobitel runs AI across network operations, customer experience, and revenue assurance for tier-1 telcos and challenger MNOs — network optimisation, churn, fraud, 5G slicing, RAN analytics, and conversational support. TM Forum-aligned and GSMA-aware, with sovereign deployment for licensed-spectrum data.

−30%

Customer churn

+25%

Call deflection

5G ready

Slice-aware

TM Forum

Open Digital Arch

What's hard

The realities of telecommunications AI.

Honest about the constraints. AI in this sector isn't a wrapper on a hosted LLM. It has to land inside your boundary, respect your regulators, and earn the trust of the people on the front line.

OSS / BSS data is fragmented across vendors

Inventory, fault, performance, billing, charging, and CRM each live in their own silos with their own data models. AI has to bridge them without yet another data lake project.

RAN data is enormous and time-critical

Per-cell, per-second KPIs across millions of cells defeat classical analytics. Foundation models for time-series and graph data finally make this tractable.

Churn signals are weak and late

By the time a customer's NPS drops, they have one foot out the door. Models need to fuse network experience, care, billing, and lifecycle signals weeks ahead.

Telecoms is a heavily regulated industry

Licence conditions, lawful intercept, data-retention rules, and customer-protection obligations vary by jurisdiction — AI deployments have to respect every one.

Where AI moves the needle

Six use cases customers ship today.

These aren't demos. Each pattern is in production for at least one customer in this sector. Click through to the underlying Yobitel app, or have us build the custom variant.

Network optimisation & RAN analytics

Self-optimising network — coverage, capacity, mobility, and interference tuning informed by drive-test and per-cell KPIs.

Network Brain

Customer-support copilot

Care-agent assist plus customer-facing chat across mobile, broadband, and IoT plans — grounded in tariff, network status, and account history.

Telco Support Copilot

Churn prediction & retention

Joint model over network QoE, care contacts, billing, and lifecycle. Drives targeted, automated retention offers and proactive care.

Churn Predictor

Revenue assurance & fraud

IRSF, SIM-box, subscription fraud, and bypass detection. LLM enriches case files for the fraud-investigation team.

Revenue Sentinel

5G slice & SLA assurance

Slice lifecycle automation, SLA monitoring, and intent-driven slice creation for enterprise verticals on 5G SA.

Slice Manager

Field-engineer copilot

Multilingual SOP search, swap-out procedures, and live RF stats surfaced on a ruggedised tablet during planned and emergency work.

Field Copilot

Regulators & frameworks

Built for the audit, not after it.

Compliance isn't a wrapper on top. It's embedded in how we deploy, train, monitor, and prove decisions for telecommunications customers.

TM Forum Open Digital Architecture

ODA component mapping, Open API conformance, and intent-based interaction patterns for slice and lifecycle automation.

GSMA NESAS & security baselines

Network Equipment Security Assurance Scheme alignment for inference deployed alongside network functions; FS.31 baseline controls.

ETSI ZSM & 3GPP SA5

Zero-touch service management closed loops, intent-driven management, and standardised assurance for slice and service operations.

GDPR & ePrivacy

Traffic and location data treated under sector-specific lawful basis; lawful-intercept boundaries respected by design.

Data residency by jurisdiction

Per-licence data localisation — IN, EU, UK, MEA, SEA — with in-country inference and key custody where required.

Ofcom, BEREC, TRAI

Regulator-facing transparency on automated decisions affecting consumers; quality-of-service reporting hooks.

How we deploy

The Telecommunications deployment pattern.

The shape of every successful telecommunications engagement, refined across years of customer rollouts and grounded in the operational reality of the sector.

  1. 01

    Land alongside the network

    Sovereign region or on-prem next to OSS / BSS / charging. Latency-sensitive functions land at the edge near the RAN.

  2. 02

    Stitch OSS / BSS data

    Ingest from inventory, fault, performance, charging, CRM, and care platforms via streaming + CDC. TM Forum SID-aware.

  3. 03

    Train on telco context

    Fine-tune on your tariff, your specs, your historical incidents — never pooled with other operators' data.

  4. 04

    Close the loop with intent

    AI outputs translate into TM Forum intents; closed-loop assurance with operator-in-the-loop for risky changes.

  5. 05

    Prove the SLA

    Per-slice, per-segment SLA dashboards plus regulator-facing QoS reports auto-generated from the network truth.

Outcomes, measured

The numbers customers put on the slide.

Quantified outcomes from production deployments. Each tied to a real customer, even when the logo is held back at their request.

−30%

Customer churn (high-risk cohort)

Tier-1 MNO, APAC

+25%

Care call deflection

Quad-play operator, EU

−42%

MTTR on RAN incidents

5G SA operator

+18%

Retention offer conversion

MVNO group, EMEA

Customer story

APAC tier-1 MNO

High-risk churn cohort identified four weeks earlier; targeted retention shaved 30% off cancellations in pilot regions.

“Yobitel did the unglamorous work — stitched OSS, BSS, and care into one signal — then ran the model where the data lives. That's why the numbers moved.”

What we delivered

  • −30%

    Customer churn (high-risk cohort)

  • +25%

    Care call deflection

  • −42%

    MTTR on RAN incidents

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Ready to ship AI in telecommunications?

Book a working session with Yobitel engineers who've done it before in your sector. Walk away with a concrete deployment plan and an eight-week pilot scope.