The situation
BSS, OSS and the warehouse disagree
“Active subscriber”, “revenue” and “site” are defined differently in billing, CRM, OSS and the data warehouse, so every KPI is reconciled by hand.
We start where the operator executive starts — churn, leakage, fraud loss, 5G returns, cost-to-serve — and work back to the decisions, data and agents that move the number. You own everything we build.
Most data and AI programmes stall between the pilot and the P&L. A business-lens method with decision gates keeps every sprint tied to a KPI finance can verify.
Every DaasLabs engagement walks the same seven steps, from a number on the executive scorecard to value that finance can verify. Pick an outcome to see a worked telecom example threaded through each step.
The methodology becomes a phase-gated programme. Each phase ends with something you keep and a decision only the operator can take. Durations are indicative for one domain and vary with scope and data readiness.
The technology rarely fails on its own. Programmes stall where data, meaning, control and people are not designed together.
“Active subscriber”, “revenue” and “site” are defined differently in billing, CRM, OSS and the data warehouse, so every KPI is reconciled by hand.
Churn models and GenAI care assistants impress in a demo, then stall on data access, privacy review and the question of who will run them.
Usage recorded in the network is checked against the bill by sampling, fraud alerts queue for days, and every block or credit is keyed in by a person.
Regulators, privacy authorities and auditors want proof of where a reported number came from and who accessed subscriber data.
The same twelve layers we score in the maturity assessment. Select a layer to see what you get, who leads it, which accelerators run on it and what your team owns at the end.
Our delivery lens: Connect → Curate → Contextualize → Consume. Pick a step to see the layers it builds.
167+ pre-built connectors, batch and streaming ingestion, change-data capture and legacy adapters — from the network event to the invoice and the customer conversation.
Rated events, invoices, adjustments, balances and prepaid top-ups — the other side of every revenue reconciliation.
Subscribers, accounts, contracts, orders, SIM swaps and the product catalogue that defines what should be billed.
Network and service inventory, fault and performance management, trouble tickets and service-quality KPIs.
Voice, SMS and data usage records from switches, packet core and mediation — parsed, deduplicated and linked to subscribers.
IP detail records, probe and cell-level measurements for usage, experience and anomaly analytics across 4G and 5G.
Partner traffic, interconnect settlement and roaming files (TAP/RAP) for wholesale assurance and IRSF detection.
Wallet, top-up and payment-rail events that fraud teams correlate with SIM swaps and account changes.
Contact-centre interactions, complaints, disputes, care procedures, tariffs and partner agreements for AI to search and cite.
General ledger, existing data warehouses and data lakes, and legacy formats (including COBOL copybooks) brought in through adapters.
Pre-built telecom data models give every source one meaning — the objects reports, APIs, accelerators and agents share.
MSISDN, IMSI, SIM and device, account hierarchy, segment and lifecycle status.
Tariffs, bundles, add-ons and VAS from the catalogue, with price and rating rules.
CDR, xDR and IPDR records normalised to one event shape, linked to subscriber and bill.
Switches, core and RAN elements with their inventory, faults and performance KPIs.
Sites, cells and geography for coverage, experience, capacity and location analytics.
Interconnect and roaming partners, fraud and leakage cases, disputes and interactions.
Every layer has a single DaasLabs service line accountable for it, with named support. At handover, every layer is owned by your team. See all services.
Hover or use the arrow keys to read the matrix.
Each accelerator is a configurable starting point on the same governed layers, staffed by an agent squad. Because they share the data fabric and ontology, the second one starts faster than the first.
A single pod covers strategy to operations, so nothing falls between vendors. It flexes by phase — and your people pair with every role from the first week.
Bar length shows how much each role is involved. Your team’s share grows until it owns the platform.
| Role | Discover | Design | Build | Adopt | Run |
|---|
Sprint execution, weekly status and bi-weekly steering in every model. Every phase leaves an artefact in your hands.
Choose how DaasLabs works with your teams — and change it as you mature.
Architects, data and AI engineers embedded in your teams, under your delivery lead.
Outcome-based delivery of an accelerator or platform build by a DaasLabs pod, with phase gates.
We run and improve the platform, models and agents — DataOps, MLOps and AgentOps under agreed SLAs.
One outcome, one accelerator and its agent squad on your real data, in your tenancy — first release typically in 30–45 days.
More domains and layers on the same foundation, with autonomy raised on evidence and your team taking the lead.
A SIM is swapped, and minutes later the new SIM receives one-time passwords and the linked wallet logs in from a new device. Here is how the layers — and the people — handle it, from source to audit trail.
Watch it liveProvisioning records a SIM swap; the SMS centre delivers a burst of OTPs; the wallet sees a login from an unknown device.
Streaming ingestion brings the swap, the SMS records and the wallet events in within seconds, quality-checked, as governed data products.
The events resolve to the same subscriber, MSISDN, SIM, device and wallet account, with lineage back to each source.
Past swaps, device history, recent complaints and the account-takeover playbook are pulled together — only what this analyst is entitled to see.
They score the risk, classify the pattern as account takeover and propose a wallet freeze and a verification callback, with evidence and a confidence score.
Kill switch, autonomy level, risk tier and exposure limits decide: straight through, or to a person.
The analyst reviews the evidence on one screen in the fraud command centre and approves, edits or rejects the proposal.
A governed, typed action freezes the wallet for a cooling period and opens a callback task — limited, idempotent and reversible.
Each step, tool call and decision is recorded; outcomes feed the evaluation that decides whether autonomy can be raised.
The framework is cloud-agnostic. We deploy it where your data and your controls already are.
Deployed in the operator’s own cloud subscription or data centre — never a shared DaasLabs environment.
Azure, AWS or GCP, and hybrid with on-prem connectivity for network and BSS systems that stay put.
Subscriber data and model calls stay in the regions your regulator and privacy rules require; the AI gateway enforces it.
Every environment is code or configuration (Terraform), tested automatically and reproducible from dev to prod.
Integrates with your identity provider, key management, network controls and access reviews.
The Data Fabric deployed with Terraform as reusable infrastructure as code; the same landing-zone patterns carry over to any major cloud. Read the credential.
A packaged data workspace bundles storage, compute, ETL/ELT, security, monitoring and access control, so a new business unit is onboarded without new plumbing.