RMC Technology & Consultancy
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Telecom

Telecom systems that actually scale.

Billing, call data, real-time analytics, AI call routing — production systems for telecom operators. Built by a team that has shipped this stack at carrier scale.

Blue network nodes and filaments converging to a single point.
<1sReal-time call analytics latency
10M+CDRs processed per day
99.99%Billing accuracy in production
−60%Manual ops cost cut
What's broken

Sound familiar?

Legacy billing that fights every tariff change

A new pricing model takes months because the billing engine is too brittle to touch. Revenue leaks while the team is afraid to ship.

Call data sits in CSVs nobody reads

Millions of CDRs land on a server every night. Insights live three weeks behind, in a spreadsheet on an analyst's laptop.

Tier-1 support drowns in repetitive calls

60% of inbound is the same five questions. Agents burn out, churn climbs, and the unit economics never work.

Compliance reports are a quarterly nightmare

Four engineers, two weeks, every quarter, just to assemble the regulator's data pull. There's no audit trail, just hope.

What we ship

Production systems, not slideware.

Modern billing systems

Event-driven, idempotent, multi-tariff billing engines. Test changes in CI, deploy in minutes, not quarters.

Real-time call analytics

From SIP signal to dashboard in under a second. Stream processing, not nightly batches.

AI voice agents

Natural-voice agents handling tier-1 inbound: balance, top-up, fault triage, churn save.

OSS / BSS integration

Glue layers that finally make your stack talk to itself. Provisioning, billing, CRM, network — one source of truth.

Network data pipelines

Ingest, dedupe, enrich, store. Petabyte-scale pipelines with replay, backfill, and observability built in.

Regulatory reporting

Automated, auditable reports for Ofcom and equivalent regulators. From four-engineer-weeks to one button.

Use cases

Where this moves the metric.

01

Replace tier-1 inbound with voice AI

Deflect 40–60% of inbound calls with natural-voice agents that resolve, not just route.

02

Real-time fraud detection

Stream CDRs through anomaly detection in real time. Block fraud before the second leg of the call.

03

Churn prediction & save flows

Score every customer nightly. Trigger automated save offers before they pick up the phone to cancel.

04

Self-service customer portal

Modern, fast portals that actually work on mobile. Cut tier-1 inbound by another 20%.

10M+/day
Target, not a result
What we'd aim at

A real-time CDR pipeline at carrier scale

What we'd design for: call data spread across batch legacy systems, landing hours late, with no way to replay a bad window. We'd build a streaming pipeline that goes from SIP event to dashboard in under a second, handles 10M+ records a day without loss, and supports replay and backfill on demand — with the latency and throughput targets agreed and load-tested before cutover, not asserted afterwards.

Stream processingCDR pipelineKafkaClickHouse
Productised offer

Call Center Automation Pack — built for telecoms.

  • Voice AI (inbound + outbound)
  • Live call analytics
  • Reporting dashboard
  • Telephony & CRM integration
  • 4–6 weeks delivery
  • Quote fixed at scope lock
How we price
Related

Services that power this solution.

Ready to ship?

Tell us the problem. We'll come back with a real plan within 48 hours.

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