// networks, billing and customer service

Telecom Solutions

VoIP, contact centers, BSS/OSS, MNP routing. For tier-1 operators and enterprises with their own telecom infrastructure.

// about the practice

What it is and who needs it

The telecom practice covers design and implementation of systems for communications operators and enterprises with their own telecom infrastructure. Includes VoIP platforms (SIP routing, MNP, billing), contact centers (IVR, ACD, omnichannel), BSS/OSS, integration with government registries.

In 2026 the focus is AI Act preparation in telecom (especially for contact centers with AI agents), legacy OSS modernization, transition to cloud-native architecture.

Signals that the telecom core holds business back

  • You are a communications operator with your own SIP core.
  • You have a contact center with >50 agents.
  • AI agent deployment in customer service is approaching.
  • Legacy BSS/OSS slows down launch of new tariffs and services.
  • EU AI Act requires rethinking of AI agent processes.
Business promise

A new tariff or contact scenario should not break operations

The telecom page is about launching change reliably in an environment where billing, routing, contact center and compliance are more connected than they seem.

Who feels it

OSS/BSS slows marketing, support and network teams

When a tariff launch takes weeks and the contact center is not ready for omnichannel or AI, the problem is no longer technical — it is business agility.

First move

Audit SIP, BSS/OSS and customer-service flow

We first examine routing, billing dependencies, integrations and operational KPIs. Then decide what to modernize and what to keep in parallel run.

// our position

Why we do this differently

01

AI agents in contact centers are high-risk systems under AI Act. Prepare for compliance work now, not in 2027.

AI Act classifies systems making customer service decisions as high-risk. This means documentation, audit trail, human oversight, regular testing. Preparation takes 6–9 months — start now.

02

Legacy OSS is not "we will modernize later". It is the blocker of business agility in 2026.

If launching a new tariff takes 6 weeks due to legacy OSS, you lag behind competitors who can launch in 5 days. OSS modernization is a strategic priority, not tech-debt in the backlog.

03

Contact center omnichannel transition fails not on technology, but on operational model. Support team readiness is more critical than SIP trunks.

An operator used to voice channel needs 3–6 months of retraining to work effectively with chat/email/social. The technical part is just 30% of the real project.

// honest filter

When you need this — and when you don't

It is more honest to say "you do not need this yet" than to sell an engagement that will not deliver ROI.

✓ Need it

  • Communications operator with own SIP core
  • Contact center >50 agents
  • AI deployment in customer service ahead
  • Legacy BSS/OSS blocks business initiatives
  • AI Act compliance preparation

✗ Not yet

  • Small business with outsourced telecom
  • Contact center <20 agents — use market solutions instead of custom
  • You want "AI agent instead of live operators" — market not ready
// process

How we run the engagement

01

Telecom assessment · 3–4 weeks

Audit of SIP infrastructure, BSS/OSS, contact center, integrations. Gap analysis against state-of-the-art and regulatory requirements.

02

Architectural roadmap · 3–4 weeks

Target architecture design, legacy migration plan, AI strategy for contact center with compliance-by-design.

03

Pilot/MVP · 3–4 months

Pilot launch on one segment (e.g., new MNP router or omnichannel in one department) with full monitoring.

04

Production rollout · 6–12 months

Phased expansion to full traffic/operator volume with parallel run of legacy and new system. Continuous KPI monitoring.

05

Continuous operations · ongoing

SLA support, AI model optimization, regular compliance reviews, capacity planning.

Project lead: DooxSwitch (VoIP platforms, SIP routing, MNP) and Softengi (AI agents for contact centers).
Brought in when needed: Softline (integration with government systems and registries), SL Global Service (cloud-native transformation).

// anti-patterns

Typical mistakes we have seen projects fail on

AI deployment without compliance plan

They deploy an AI agent in the contact center to reduce AHT. Six months later — regulator inspection finds problems with audit trail and human oversight. Fine + forced decommissioning.

What we do instead: compliance-by-design from the start: audit trail for every AI decision, human-in-the-loop for escalation, regular bias testing.

Big bang OSS migration

Attempt to replace the entire OSS in one project. Plan duration 12 months, actual 24. Old OSS breaks before new one stabilizes. Customer loss due to billing errors.

What we do instead: parallel run for at least 6 months, phased migration by customer segments.

Omnichannel as a simple voice-operator retag

They think omnichannel just means giving voice operators access to chat and email. Three months later — chat response time 8 hours, NPS drops.

What we do instead: for omnichannel — separate training program 3–6 months, operational model redesign, new KPIs.

// experience

Typical scenarios from our practice

Each example shows the client-side story: what was getting in the way, what changed, and what result the team got.

Mobile operator

Fewer failed calls

Problem
The old call handling setup failed and made number portability harder.
What we did
We moved calls in phases and supported old and new setups in parallel for a while.
Result
Failed calls decreased, and the transition happened without a hard stop.
Contact center

Faster first response to customers

Problem
Operators spent time on repetitive questions instead of difficult requests.
What we did
We separated simple requests from those that require a person’s decision.
Result
Customers get answers faster, and operators focus on complex cases.
Telecom operator

Faster tariff launch

Problem
A new tariff took weeks to launch because many teams depended on each other.
What we did
We simplified the change process and split responsibility by launch stage.
Result
New offers reach the market much faster.
// deep dives

Articles on this topic

Nine recent expert articles — from thematic overviews to specific architectural decisions.

// toolkit

Technologies we work with

VoIP & SIP

DooxSwitch Platform · FreeSWITCH · Asterisk · Kamailio · OpenSIPS · Cisco UCM

Contact centers

Genesys · Five9 · NICE inContact · Amazon Connect · Cisco Webex Contact Center

AI for telecom

OpenAI · Anthropic Claude · Microsoft Copilot · custom LLM agents · sentiment analysis

BSS/OSS

Amdocs · Comarch · Oracle BRM · Ericsson Charging · MATRIXX Digital Commerce

Network & observability

Prometheus · Grafana · Datadog · NetFlow analyzers · Wireshark

Standards

TM Forum · ISO/IEC 27001 · AI Act · ETSI · GSMA · 3GPP

// answers

Frequently asked questions

AI Act in telecom — when in force and who is affected?

EU AI Act took effect in August 2024. Mandatory requirements for high-risk systems — from August 2026. AI agents in customer service contact centers are classified as high-risk because they make decisions affecting customers.

Should we transition to cloud-native VoIP?

For new deployments — yes, no alternatives. For existing legacy — depends on business case. Cloud-native — lower TCO, faster new service launch. Legacy on-prem — better latency, full control, no cloud-provider lock-in.

How long does MNP router replacement take?

For tier-1 operator — 6–10 months with parallel run. Without parallel run — should not do at all, because failed routing costs customers faster than budget.

Will AI agents replace live operators?

In 2026 AI closes first-line (60–70% of typical queries). Complex cases — human. Savings — mostly AHT reduction and more parallelism, not headcount reduction. Headcount reduction as a goal usually fails on NPS.

What is needed for AI Act compliance?

For high-risk systems: (1) risk management system; (2) data governance and training data quality; (3) technical documentation; (4) record-keeping (audit trail); (5) human oversight; (6) accuracy + robustness + cybersecurity. Preparation — 6–9 months.

// adjacent areas

Related competencies

Real projects rarely fit in one competency. See which other areas we work in.

Tell us about your telecom situation — we will suggest where to start

30-minute discovery call with a telecom architect. We will discuss current state and options, no commitments.

Alliance model

Intecracy Group does not force a single delivery team. We clarify the task, identify the required competencies and help involve the relevant alliance members.

Contact directly