Mobile operators, fixed-line, ISPs, satellite, towers, and network equipment — built on AI-native customer engagement, intelligent network operations, and audit-ready governance. Designed for operators where every second of network performance and every digital interaction shows up in churn or revenue.
Specialists across data, AI, engineering, and governance
SOURCE . CODE81 INTERNALFirst in GCC for AI Management Systems — governed by design
CERTIFIED . ULTRA MANAGEMENTInformation security controls aligned to telco data sensitivity
CERTIFIED . AUDITED ANNUALLYCountry operations — UAE, KSA, Egypt
CODE81 PRESENCEWhether the operator is a mobile carrier, a fixed-line provider, an ISP, a satellite operator, or a tower company — the pressure points are converging. Customer expectations set by digital-native players, AI moving from optimisation tool to network and engagement infrastructure, and regulatory frameworks now defining what a defensible AI deployment looks like.
A subscriber who manages five super-apps on their phone will not accept a 20-minute IVR queue, a paper SIM-swap form, or a separate portal for billing. The operators that get this right keep ARPU and retention stable; the ones that don't keep losing the high-value segments to challengers.
Churn prediction, network anomaly detection, predictive capacity planning, customer service automation, and revenue assurance are no longer pilots. They are reshaping how operators run — and the ones that operationalise them with proper governance lead the next decade. The ones still running pilots in PowerPoint do not.
Customer data protection, network security, AI fairness, and the AI governance frameworks now landing across the region all require documented controls. Pilots without governance will not survive regulator review. Production AI without ISO 42001 alignment will not survive procurement.
CODE81 delivers five core services across every engagement we run. On the Telecommunications page, each service is framed for the sector context — subscriber-scale customer engagement, network and operational data integration, and audit-ready governance built in. Click any card for the full service.
Subscriber super-apps, B2B portals, retailer and dealer apps, and field engineering tools shipped at the pace telco operations actually run. Cross-platform mobile delivery integrated with BSS, OSS, identity, and billing — built for consumer scale and enterprise complexity alike.
Subscriber 360, churn modelling, network analytics, fraud detection, and AI-driven decisioning across the customer and network estate. Production MLOps with the governance controls regulators expect — not pilots that never reach production.
Subscriber portals, B2B customer portals, retailer and dealer portals, and operator-facing workspaces built on a unified content and identity layer. Personalised by segment, governed by data privacy controls, and integrated with BSS, OSS, and the wider operational estate.
Subscriber engagement, B2B sales, retention and loyalty programmes, and omnichannel service on a single record. Embedded predictive models for churn, cross-sell, and customer lifetime value — productionised inside the workflow, not parked in a separate analytics tool.
BSS/OSS workflow automation, provisioning, billing reconciliation, and order management orchestration. BPMN-modelled processes connecting CRM, billing, network, and identity — with audit trails, exception handling, and human-in-the-loop checkpoints exactly where regulators and revenue assurance teams require them.
Every telco engagement we deliver maps to the priorities of the operator we work with — mobile, fixed-line, ISP, satellite, or tower. Below — the four themes that shape how we scope, build, and govern programmes in subscriber-scale, network-critical environments.
Connected subscriber journeys across acquisition, activation, billing, support, and retention. One identity, one record, one experience — across consumer mobile, fixed-line, B2B, and reseller channels. Mobile-first by default, AI-augmented at every touchpoint.
Anomaly detection, predictive capacity planning, fault prediction, and field engineering optimisation integrated into the operations workflow — not bolted on as a side application. Faster decisions, lower opex, measurable network quality outcomes.
BSS, OSS, network systems, and customer interfaces integrated through governed APIs and event streams. Customer and network data flows where it needs to, when it needs to — without manual reconciliation between siloed billing, provisioning, and CRM systems.
ISO 42001 controls applied to every AI workload. Documented model lineage, decision auditability, customer data privacy, and bias monitoring built in from day one — designed for the regulatory and ethical expectations now landing across regional telecom regulators.
ISO 42001 · ISO 27001 · BUILT FOR TELCO DATA SENSITIVITY
Industry benchmarks across the categories CODE81 delivers. Sourced from analyst firms and platform vendors — not internal estimates.
Reduction in subscriber churn with predictive models acting on network and billing signals
Reduction in network operations cost with AI-driven anomaly detection and predictive maintenance
Faster customer service resolution with AI-augmented agent workflows and self-service routing
Higher digital channel adoption with mobile-first super-app experiences versus legacy web portals
Higher AI ROI for telco operators with formal AI governance frameworks in place
By when AI governance frameworks become mandatory across most regulated telecom functions
Below — three AI use cases CODE81 designs and delivers for telecommunications operators. These are capabilities we build, not retrospective case studies. Each one ships with ISO 42001 governance, audit-ready logging, and the integration patterns that subscriber-scale, network-critical environments require. Live engagement details are available under NDA on request.
Predictive churn models built on subscriber 360 data — usage patterns, billing signals, network experience, support history, and competitor activity. Surfaces the customers at risk now and the retention play with the highest expected value, productionised inside the CRM workflow rather than parked in offline analytics.
Anomaly detection, fault prediction, and capacity forecasting models running on network telemetry. Surfaces issues before customers raise them, optimises field engineering dispatch, and shifts the network operations team from reactive ticketing to proactive intervention — with audit trails aligned to ISO 42001.
Conversational agents, agent-assist, and intelligent routing across app, web, retail, and call centre. First-line subscriber enquiries handled end-to-end by AI; human agents focused on the cases that demand judgement. Single record, single context, every channel.
We work the way regulated telco operators need us to — mobile carriers, fixed-line providers, ISPs, satellite operators, and tower companies. Named delivery leads, audit-ready governance, and engagement models that fit RFP, framework, and direct-award procurement.
Stakeholder mapping, business case alignment, procurement-ready scoping documents.
Solution design with subscriber privacy, network security, and identity controls baked in. ISO 42001 controls scoped from day one for AI workloads.
Agile delivery with named leads, regular checkpoints, and stakeholder reviews aligned to operator governance cadences.
Phased rollout, integration with BSS/OSS and identity systems, model production cutover with full audit logging.
SLA-backed managed services, continuous compliance monitoring, model retraining, and platform evolution.
Send us the use case. We will respond with the architecture options, the governance shape, a delivery plan, and a 30-minute scoping call — usually within the same business day.