Nine services, mapped to the telecom value chain.

The client problem

AI pilots multiply across network, care and marketing, but few reach production. There is no shared, evidence-based view of where the operator stands on data and AI, which use cases pay back, or who owns them.

Outcomes

• A maturity baseline across 12 capability layers and five stages, scored on evidence rather than opinion
• A prioritised portfolio of revenue, cost and experience use cases, each with a business case
• An AI operating model: ownership, funding, delivery and controls across IT, network and commercial teams

What we do

• Data & AI maturity assessment
• AI strategy & use-case prioritisation
• AI operating model & centre of excellence design
• Business case & value tracking

Typical engagements

• AssessmentMaturity assessment and roadmap
• Pilot · 30-45 daysProve the top-ranked use case on your data
• BuildRoadmap delivered through our Build and Transform services
• Managed runValue tracking and roadmap refresh

Delivered with

The client problem

Regulators, auditors and privacy teams want proof of where a number or a subscriber record came from. Ownership, lineage and quality checks across BSS and OSS are undocumented or manual, and AI adds a new layer to govern.

Outcomes

• A working data office with owners for subscriber, usage, product and network data
• Lineage and data quality controls for regulator reports, number portability and lawful-intercept data flows
• Privacy, consent and AI governance: policy, approvals, evaluation and audit trails

What we do

• Data office & operating model
• Metadata catalogue & critical data elements
• Regulatory reporting lineage & data quality
• Privacy, consent & data retention controls
• AI & agent governance

Typical engagements

• AssessmentGovernance and lineage gap review against regulator reports
• Pilot · 30-45 daysCatalogue, lineage and DQ for one regulatory report
• BuildData office, metadata repository and controls, operator-wide
• Managed runOngoing DQ monitoring and catalogue stewardship

Delivered with

The client problem

Revenue leaks between the network event and the invoice — unbilled usage, rating errors, interconnect mismatches — while fraud moves faster than rule sets: SIM swap and account takeover, SIM box and bypass, IRSF and Wangiri. Analysts spend their time gathering evidence rather than deciding.

Outcomes

• CDR-to-bill reconciliation across voice, data and VAS, with leakage classified and routed for recovery
• Fraud cases arriving with evidence gathered and a draft decision, worked through an observe, orient, decide, act loop
• Straight-through handling only within policy; blocks, credits and escalations logged for audit

What we do

• Revenue assurance: usage, rating, billing & interconnect reconciliation
• Leakage detection, classification & recovery workflow
• Fraud management: SIM swap, SIM box, IRSF, Wangiri, device cloning
• Real-time fraud scoring on digital and wallet channels
• Case management, investigation workbench & regulator reporting

Typical engagements

• AssessmentLeakage and fraud-operations diagnostic
• Pilot · 30-45 daysOne revenue stream or fraud type, live on your CDRs
• BuildRA and fraud control framework across streams and channels
• Managed runRA and fraud squads run under SLA

Delivered with

The client problem

Subscriber data is split across prepaid, postpaid, broadband and digital channels, so offers are generic, billing disputes take hours to piece together and churn shows up too late to act on.

Outcomes

• A single subscriber view shared by marketing, sales and care
• Churn risk and next-best-offer signals in campaign and care workflows
• Billing disputes resolved from one correlated timeline instead of five systems

What we do

• Subscriber 360 & segmentation
• Churn prediction & retention
• Next-best-offer, pricing & campaign analytics
• Billing dispute & adjustment intelligence
• Contact-centre & digital-care analytics

Typical engagements

• AssessmentCustomer data and growth-use-case review
• Pilot · 30-45 daysSubscriber 360 and one churn or offer use case
• BuildRetention, offer and care analytics rollout
• Managed runModel monitoring and MLOps

Delivered with

The client problem

Network KPIs, alarms, probes and trouble tickets live in separate OSS tools, so capacity decisions are made on averages and service problems are found by customers first.

Outcomes

• Network, service and customer-experience KPIs on one governed data model
• Capacity planning and predictive maintenance from cell-level history
• Service problems linked to the subscribers and revenue they affect

What we do

• Network performance & QoS analytics
• Capacity planning & spectrum utilisation
• Predictive maintenance & alarm correlation
• Service assurance & customer-experience analytics
• Cell-site and geo analytics

Typical engagements

• AssessmentOSS data and network-analytics review
• Pilot · 30-45 daysOne region or domain on a governed network data model
• BuildNetwork data products and analytics, network-wide
• Managed runDataOps and model monitoring under SLA

Delivered with

The client problem

Roaming and interconnect settlements, and large enterprise accounts, are reconciled in spreadsheets; disputes with partners drag on and enterprise usage is hard to see across products.

Outcomes

• Roaming and interconnect traffic reconciled against partner statements before settlement
• Enterprise account usage, SLA and revenue visible across mobile, fixed and ICT products
• Partner disputes backed by record-level evidence

What we do

• Interconnect & roaming settlement assurance
• Partner and agreement analytics
• Enterprise account 360 & SLA reporting
• Wholesale pricing & margin analytics

Typical engagements

• AssessmentSettlement and partner-data review
• Pilot · 30-45 daysOne partner group or settlement cycle reconciled end to end
• BuildWholesale and enterprise data products
• Managed runSettlement assurance run under SLA

Delivered with