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Telcos and media operators are caught between structural ARPU erosion, relentless churn pressure, and the capital demands of 5G, fibre, and streaming infrastructure all while legacy BSS/OSS stacks slow every go-to-market cycle. Xelium Labs partners with CSPs, MVNOs, and media enterprises to modernize the systems, automate the operations, and build the AI-driven subscriber intelligence that converts network investment into margin-positive growth.

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Telecom & Media Clients

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Core Service Capabilities

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Key Business outcomes

5G / OSS

Native Domain Expertise

Network Layer to Subscriber Journey Technology That Closes the ARPU Gap

Network Layer to Subscriber Journey Technology That Closes the ARPU Gap

From OSS/BSS stack rationalization and 5G service layer engineering to subscriber churn prediction and omnichannel contact centre transformation, we help CSPs and media enterprises convert operational complexity into measurable commercial performance.
Whether the challenge is a fragmented order management stack blocking provisioning velocity, a contact centre absorbing churn-risk calls that AI could have resolved, or a legacy mediation layer unable to support convergent billing across fixed, mobile, and OTT our telecom domain practitioners understand the operational and commercial constraints of CSP environments, not just the reference architecture.

Subscriber Experience Platforms

Design and integrate omnichannel subscriber journeys across self-service portals, mobile apps, IVR, and assisted channels unifying CRM, order management, and entitlement systems to eliminate the cross-channel friction that drives first-call escalation rates and voluntary churn at contract renewal windows.

OSS/BSS Modernization

Rationalize and re-architect OSS/BSS estates decomposing monolithic mediation, rating, and billing stacks into TM Forum-aligned, API-first microservices reducing order fallout rates, compressing service provisioning intervals from days to minutes, and creating the catalogue agility that legacy platform estates block entirely.

Contact Centre Transformation

Re-engineer contact centre operations with conversational AI, intent classification models, agent assist tooling, and real-time sentiment analytics reducing average handle time, first-contact resolution variance, and the volume of repeat calls generated by incomplete resolutions that force subscriber re-contact within 72 hours.

Digital Infrastructure Services

Design, build, and operate the carrier-grade data and application infrastructure underpinning CSP digital transformation spanning edge computing for latency-sensitive 5G services, CDN architecture for media streaming delivery, hybrid cloud data platforms for subscriber analytics, and network API monetization layers for B2B service exposure.

AI-Based Service Analytics

Deploy predictive churn propensity models, next-best-action engines, and QoE degradation detection pipelines on subscriber usage, network event, and billing data shifting revenue assurance and retention interventions from reactive win-back campaigns to proactive, microsegment-level engagement triggered before the churn decision is made.

Cloud-Native Network Transformation

Migrate network function control planes and OSS workloads to cloud-native infrastructure containerized VNFs, Kubernetes-orchestrated CNFs, and CI/CD-enabled network service delivery enabling dynamic spectrum and capacity management, zero-touch provisioning, and the operational agility that 5G slice commercialization demands.

Intelligent Network & Operations Automation

Implement AIOps-driven fault correlation, self-healing network workflows, and RPA-based back-office process automation across provisioning, service assurance, and field operations replacing ticket-driven, labour-intensive NOC processes with closed-loop remediation that resolves network events before subscribers raise fault reports.

Industry benchmark: CSPs deploying predictive churn models on enriched subscriber behavioural data report a 20–35% reduction in voluntary churn at contract renewal, while AI-driven contact centre automation typically reduces cost-per-interaction by 30–45% within twelve months of deployment. Xelium Labs builds the data infrastructure, model pipelines, and contact centre architectures that capture these gains without displacing the human expertise that complex subscriber escalations still require.

From Brief to Deployed
How We Engage

A structured, transparent process that keeps you in control at every step.

01

Discovery & Scoping

We align on your GCC vision, hiring priorities, and talent landscape

02

Strategy & Planning

Workforce planning, sourcing strategy, timelines, and market intelligence

03

Talent Sourcing

Active pipeline creation from our curated networks and deep market reach

01

Screening & Shortlisting

Rigorous multi-stage evaluation for technical, cultural, and role fit

01

Delivery & Onboarding

Seamless handover with post-hire support and retention partnership

Four Outcomes That Define
Telecom & Media Commercial Advantage

Telecom and media margins are determined by subscriber lifetime value, provisioning velocity, infrastructure cost-per-bit, and the quality of signal extracted from network and usage data. Every engagement we undertake is anchored to one or more of these commercial levers with quantified targets set at kickoff, not as post-delivery attribution.
We work backwards from the P&L whether that means reducing the OPEX drag of a monolithic BSS migration, closing the gap between network investment and monetizable service capability, converting churn-risk cohorts before they reach competitor acquisition funnels, or building the analytics infrastructure that makes subscriber behaviour commercially legible at scale.

01

Subscriber Retention & Lifetime Value Expansion

Churn propensity scoring, microsegment-level next-best-action triggers, and proactive QoE intervention workflows intercept at-risk subscribers before they reach competitor acquisition funnels — protecting contract renewal rates, reducing win-back spend, and shifting retention from a reactive cost centre to a data-driven revenue function.

02

Provisioning Velocity & Order Fulfilment Accuracy

API-first OSS/BSS decomposition and automated order orchestration compress service activation intervals from multi-day manual workflows to near-real-time eliminating the order fallout rates, jeopardy escalations, and repeat provisioning failures that inflate care costs and generate first-week churn among newly acquired subscribers.

03

Network & Operations Cost Efficiency

AIOps-driven fault correlation, closed-loop self-healing automation, and cloud-native infrastructure consolidation structurally reduce NOC headcount dependency, infrastructure OPEX per delivered bit, and the field dispatch rates generated by network events that automated remediation can resolve without human intervention.

04

Service Intelligence & Network Monetization Readiness

Unified subscriber data platforms ingesting network telemetry, usage records, CRM events, and billing signals into governed, real-time accessible data products give commercial, network, and care teams the analytical foundation for convergent service bundling, network slice commercialization, and API-exposed network capability monetization. The organisations that build this intelligence layer now establish the competitive distance that reactive data strategies cannot close later. The difference is infrastructure designed for commercial exploitation from the outset, not analytics bolted onto a system estate that was never built to expose its own signal.

From Network Complexity to
Subscriber Intelligence - How We Engage

A delivery methodology calibrated to CSP operating rhythms regulatory reporting cycles, network change control windows, and subscriber-impacting deployment constraints that builds capability inside your organisation rather than creating dependency on ours.

01

OSS/BSS & Data Estate Audit

Map system architecture, integration debt, data lineage gaps, subscriber journey friction points, and digital maturity across network, care, and commercial functions

02

Commercial Use-Case Prioritization

Rank initiatives by ARPU, OPEX, and churn impact sequence a phased roadmap with near-term automation wins and long-term platform transformation milestones

03

Domain Talent & Technology Alignment

Source embedded BSS engineers, network automation architects, AIOps specialists, and subscriber data scientists matched to your specific platform, stack, and programme phase

04

Controlled Rollout

Pilot on a single service domain, subscriber segment, or regional market validate commercial and operational impact before scaling across the full network or customer base

05

Embed & Compound

Transfer model ownership and platform operations to internal teams, establish continuous improvement feedback loops, and extend the engineering function as 5G and convergent service programmes mature

The Telecom & Media Stack
We Work Deepest In

Our telecom engineers and data specialists operate across the full CSP technology estate from BSS mediation and billing platforms to 5G core network function orchestration and subscriber analytics pipelines with hands-on delivery experience in the platforms running on the world’s highest-traffic networks.

The Telecom & Media Advantage

Most technology partners understand the software architecture. Few understand the mediation layer’s position in the revenue assurance chain, the commercial cost of an order management fallout, the subscriber-facing impact of a NOC process that runs on tickets rather than automation, or the political complexity of decommissioning a billing system that finance, legal, and care all depend on simultaneously. Our telecom practice is built around practitioners who have navigated those realities firsthand.

01

BSS/OSS Domain Depth

We carry applied expertise across the full telecom software estate mediation, rating, billing, order management, inventory, and assurance giving us the context to modernize individual layers without destabilizing the interdependencies that production CSP environments cannot afford to break.

02

Subscriber Data Science Fluency

We build churn propensity, lifetime value, and QoE models using the messy, high-cardinality data reality of actual CSP environments CDRs, network KPIs, billing events, CRM interactions not clean sample datasets that produce demo accuracy and production failure.

03

5G & Cloud-Native Readiness

Hands-on capability in CNF orchestration, network slicing configuration, zero-touch provisioning workflows, and 5G core network API exposure the engineering functions CSPs need to translate 5G capital investment into monetizable service differentiation rather than incremental capacity at declining unit economics.

04

Offshore Telecom Engineering Centres

Structured frameworks for building dedicated offshore engineering functions for BSS development, OSS automation, network operations support, and subscriber analytics — with telecom-specific talent pipelines, platform knowledge transfer protocols, and ITIL-aligned governance embedded from the first sprint.

05

Hard-to-Source Talent Networks

Pre-built pipelines of OSS/BSS engineers, AIOps architects, network automation specialists, telecom data engineers, and contact centre AI developers — profiles that carry 6–12 month sourcing timelines through conventional channels and weeks through ours, with domain screening built into the selection process.

06

Commercial Metric Accountability

We define success in telecom P&L terms voluntary churn rate reduced, order fallout percentage eliminated, AHT compressed, cost-per-interaction cut, provisioning interval shortened and structure every milestone around those KPIs, not delivery documentation that disconnects programme completion from business value.

Explore Our
Industry Practice Areas

Xelium Labs brings vertical-specific expertise across a broad range of industries each with its own technology, talent, and operational playbook.
Healthcare & Life Sciences
Banking & Financial Services
Retail & E-Commerce
Manufacturing
Logistics & Supply Chain
Technology & SaaS
Telecom
Energy & Utilities

Structured for the Realities of
CSP & Media Organisations

Telecom and media organisations operate under regulatory reporting obligations, network change control protocols, and subscriber-impacting deployment constraints that demand delivery partners with both platform familiarity and operational discipline. Our engagement models are built around those constraints not as an afterthought.
Mode 01

Telecom Talent Acquisition

Specialist recruitment for hard-to-fill CSP technology roles BSS/OSS engineers, network automation architects, AIOps platform specialists, telecom data scientists, and contact centre AI developers with SLA-driven delivery timelines and domain-specific technical screening that filters for platform depth, not just keyword proximity.

Mode 02

Programme Delivery Partnership

End-to-end execution of defined telecom technology initiatives BSS decomposition programmes, AIOps rollouts, churn prediction engine deployments, contact centre AI transformations with fixed scope, milestone accountability, and post-launch production stabilisation included in the engagement baseline.

Mode 03

Offshore Engineering Centre

Design and operationalize a dedicated offshore engineering function for BSS development, OSS automation, subscriber analytics, or network operations support with telecom-domain hiring criteria, platform-specific knowledge transfer protocols, ITIL-aligned service management governance, and capability maturity benchmarks established from day one.

Mode 04

5G & Convergence Transformation Support

A flexible, multi-year partnership model for CSPs executing 5G monetization strategies, fixed-mobile convergence programmes, or OTT/streaming platform builds combining talent supply, delivery execution, and technical advisory under a single accountable engagement that scales as the commercial and network roadmap evolves.

Trusted by
Telecom & Media Leaders

The churn propensity model Xelium Labs built reduced voluntary contract non-renewals by 27% within the first two quarters. What impressed us was that their data engineers understood CDR schema, usage signal decay patterns, and the billing event sequences that actually predict churn not just the model architecture.
Head of Subscriber Analytics, Regional CSP, France
We had tried twice to decompose our order management stack and both times the integration complexity stalled the programme. Xelium Labs' BSS engineers understood the TM Forum API alignment requirements and the mediation layer dependencies that previous partners had missed and we finally have a working catalogue-driven provisioning flow.
VP BSS Transformation, Tier-1 Operator, India
Our offshore OSS automation centre went from scoping to fully operational in under five months. Xelium Labs understood Netcracker and Ansible toolchain depth well enough to hire engineers who needed almost no ramp-up time, which was critical given our NOC transition timeline.
Director of Network Operations Technology, MVNO, Ireland

Ready to Close the Gap Between Network
Investment and Subscriber Revenue?

Whether you are modernizing a legacy BSS estate, deploying subscriber churn intelligence, transforming contact centre operations, building an offshore OSS engineering centre, or executing a 5G monetization programme Xelium Labs has the telecom domain depth, technology expertise, and specialist talent networks to deliver.