Operators carry more traffic every year for roughly the same revenue per user, while 5G and fibre must pay back, fraud and scams industrialise and regulators ask how every number and AI decision was made. The answer runs through the whole value chain — from where you build the network to how you bill, protect and serve the customer. DaasLabs Telecom is the data and AI services team that helps operators make that shift, one value-chain domain at a time.
Connectivity is essential and increasingly commoditised. The operators pulling ahead treat data as a product and AI as an operating capability — not a set of pilots. These are the pressures they are responding to.
Data demand keeps climbing; revenue per user doesn't. Unlimited plans and price competition push value to the apps that ride the network.
Data & AI: evidence-based pricing, convergence bundles and upgrade propensity.
Heavy network capex arrives years before the revenue. Boards want proof that each site, street and spectrum block earns its return.
Data & AI: demand forecasting, capex prioritisation and 5G / fibre monetisation.
SIM swap, account takeover, SIM box, IRSF and smishing hit revenue and customers at once — and regulators increasingly expect operators to act.
Data & AI: real-time scoring and agents that gather evidence before a person decides.
A slow network, a disputed bill or a long wait in care — customers leave for reasons spread across systems no single team sees.
Data & AI: subscriber 360, churn prediction tied to cause, GenAI-assisted care.
Multi-vendor, cloud-native 5G multiplies alarms and configuration; energy is now a top operating cost. Autonomy has to be earned safely.
Data & AI: alarm correlation, predictive maintenance, energy saving, supervised NOC agents.
Billing, CRM, mediation, inventory and network data live in separate stacks with different IDs. Every new use case starts with another extract.
Data & AI: one governed data fabric with lineage from network event to invoice.
Regulators expect lineage behind every return, consent behind every campaign and explainable, supervised AI behind every automated decision.
Data & AI: data office, lineage, consent controls and AI & agent governance.
The response isn't one platform or one model — it is data and AI applied domain by domain, on a shared, governed foundation.
See where, stage by stage ↓Eight domains, from where the network is built to how the business is governed. Select a stage to see the data it runs on, the AI opportunities, and how DaasLabs adds value there.
Every 5G site and fibre street is a capital bet. The question is no longer only “where is coverage weakest?” but “where will this capex earn a return — in revenue, retention or experience?”
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Multi-vendor RAN, core, transport and cloud generate more alarms than any NOC can read. Automation, energy and service quality all depend on turning that noise into decisions.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Unlimited plans and price wars flatten ARPU while traffic keeps rising. Operators need to monetise 5G, fibre and network APIs with offers priced on evidence, not on the competitor’s last move.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Acquisition is shifting to digital and eSIM, while dealer commissions, onboarding fraud and generic campaigns quietly erode margin.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Churn is decided by experience — dropped calls, slow data, a disputed bill — long before the customer calls. Care teams see the complaint; they rarely see the cause.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Revenue leaks between the network event and the invoice, while scams, SIM swap, SIM box and IRSF move faster than rule sets. Analysts spend their day gathering evidence instead of deciding.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Roaming and interconnect settle on partner statements reconciled in spreadsheets; enterprise accounts span mobile, fixed, cloud and ICT with no single view of usage, SLA or margin.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Regulators, auditors and boards want to know where a number came from — and now how an AI model reached a decision. Privacy, scam-prevention duties and AI rules keep widening the scope.
Data it runs on
Data & AI opportunities
How DaasLabs adds value
Opportunities and approaches are described qualitatively. Shaded chips are DaasLabs service lines; the others open working demos. See every service line mapped to these eight domains
Nine service lines that advise, build, transform and run — delivered on three pieces of DaasLabs IP, so operators start from working components rather than a blank page.
In our AI & Agentic Engineering and Managed Services work, agents do the routine work end to end. Our fraud agents follow an observe, orient, decide, act loop; policy decides what goes straight through and people approve the rest.
CDRs, SIM swaps, device changes, billing events and complaints stream in from the governed Data Fabric — the same lineage-tracked data your teams use.
Each case is enriched with subscriber, device and usage context, scored for risk and classified by fraud or leakage type.
Low-risk cases within policy go straight through; everything else lands in a named owner's queue with the agent's rationale and evidence.
Block, credit, call back or escalate — every step is logged, SLAs are tracked and outcomes feed back into the models.
Pre-built, configurable solutions on the Data Fabric Framework — each staffed by an agent squad. Our teams tailor rules, data and autonomy to your controls, so delivery starts well ahead of a from-scratch build.
Three accelerators that protect revenue from the network event to the invoice.
CDR-based revenue reconciliation and AI-assisted leakage detection across voice, data and VAS — checking that every chargeable event is rated once, correctly, and billed.
Fraud command centre on live CDR data: SIM swap and account takeover, SIM box and bypass, IRSF, Wangiri and device cloning, worked through an OODA case pipeline with investigation workbench.
Revenue Assurance & Fraud engagements combine these with SHIELD and SENTINEL.
About this serviceSelected engagements from the DaasLabs team in telecom. Client names are withheld; the figures describe the scope of each engagement, not measured business outcomes.
Unified data platform deployed across the group's three business units, running the Data Fabric with Infrastructure as Code.
CDR reconciliation and revenue-leakage detection across voice, data and VAS, with automated billing-accuracy verification.
Real-time fraud detection blocking SIM box operations, subscription fraud and spam/scam messaging at network scale.
Descriptions are of delivered scope. Where an engagement's results are not published here, we describe the capability rather than quote figures. See the capabilities working in the accelerator demos.
Enter your own figures. The estimate applies your leakage and fraud assumptions to your revenue, and compares today's manual alert handling with agents working the cases and people reviewing only the exceptions.
Estimate only, based entirely on the figures you enter — not a quote, a benchmark or a DaasLabs result. Leakage recovered = revenue × leakage % × share recovered. Fraud avoided = revenue × fraud-loss % × reduction. Manual hours = alerts × minutes ÷ 60. Supervised hours = alerts × (1 − STP share) × review minutes ÷ 60. Hours freed = manual − supervised; FTE = hours freed ÷ 150. Excludes platform and run costs.
Tell us the problem — revenue leaking between network and bill, a fraud backlog, churn you can't explain, a BSS/OSS platform to modernise. We'll propose an assessment or a 30-45 day pilot, delivered by DaasLabs teams on our framework and accelerators.