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Telecommunications on AWS

Voice modernization is not an IVR swap. Telco contact operations only scale when the same AI flow helps the agent and proves compliance to the auditor.

Telco contact and voice operations only modernize when migration, AI assist, and compliance ship on one plan, not three. We migrate from Genesys, Avaya, Cisco, and Nextiva to Amazon Connect under your IAM. CueAI for real-time agent assist, Sonic for voicebots, FlowShift for dynamic routing, ComplianceGen for automatic disclaimer enforcement. AWS Premier Partner. Amazon Connect Delivery SDP.

What Telecommunications actually moves on.

Real engagements, real numbers. Where Armakuni has already shipped in this vertical.

600
Agents stabilized through enrollment window
4 of 4
AI-led contact centre capabilities shipped
7 days
From broken Connect deployment to live launch

The four problems telco contact-centre programmes hit before they ship.

IVR migrations stalling, no real-time visibility, fragile outbound, AI without compliance. We have shipped through all four on Connect.

Genesys to Connect migrations stalling halfway through the call-flow rebuild.

Genesys, Avaya, Cisco, Nextiva. Migration plans that ignore the dual-running window, the compliance rebuild, and the disposition data integrity question.

Contact centres without operational visibility.

No real-time dashboards, no in-call analytics, no automated anomaly detection. Problems reach customers before supervisors know they exist.

Outbound campaigns built on fragile manual processes.

Manual campaign recycling, inconsistent DNC enforcement, suppression logic that breaks under load. Disposition data not matching actual call outcomes.

AI pilots that ignore HIPAA, PCI, and PHI boundaries until launch week.

Voice AI workshops without a real plan for PHI, PCI, or HIPAA boundaries. Bedrock invocations that an auditor cannot trace to source data.

How Armakuni shows up in Telecommunications.

Not every offering applies in this vertical. Here are the ones that fit, and the angle we take with each.

Amazon Connect
See offering →

Voice on Connect is now the default for AI-augmented contact operations. We migrate from legacy IVRs with dual-running discipline, rebuild compliance flows, and add CueAI, Sonic, FlowShift, and ComplianceGen for real-time intelligence, voicebots, dynamic routing, and auto-compliance enforcement.

  • Genesys, Avaya, Cisco, Nextiva to Amazon Connect migration
  • CueAI for real-time agent assist and intelligence
  • ComplianceGen for automated disclaimer enforcement
AI Transformation
See offering →

Telco GenAI is grounded in the contact stream. Bedrock for transcript summarization and sentiment, agentic systems for self-service resolution, and the Agentic Orchestration Layer with bounded actions and audit trail per invocation.

  • Sentiment and intent analysis on every call
  • Agentic self-service resolution with human escalation
  • Bedrock-powered post-call compliance summaries
Modernization with AI
See offering →

Telco platforms accumulate billing, provisioning, and OSS/BSS systems built across decades. We modernize the surrounding architecture so Connect AI features have something to read and write to. The AK Way ensures release discipline and audit trail are real, not retrofitted.

  • OSS and BSS modernization to AWS containerized services
  • Release discipline and CI/CD with PR audit trails
  • CRM and ticketing integration through Lambda
Managed Services
See offering →

Telco never sleeps. 24x7 Connect ownership, on-call discipline through enrollment and outage windows, real-time dashboards for queue depth and compliance risk, and CloudWatch anomaly alerts before customers feel the issue.

  • 24x7 Amazon Connect operations and on-call rotation
  • Real-time dashboards for queue depth and compliance
  • Outbound campaign automation and DNC enforcement
Data Engineering
See offering →

Telco data is high-volume and time-series-heavy. We build pipelines for call records, network telemetry, and customer-360 analytics on Glue, Redshift, and OpenSearch. So the AI features sit on top of governed data, not extracts.

  • Call record and CDR pipelines for analytics and AI
  • Network telemetry observability on AWS-native tooling
  • Customer-360 lake on Redshift with cost attribution

Concrete use cases.

Six engagements: shipped, in flight, or scopable inside an AWS-funded discovery.

Use case 01

Failing Connect deployment stabilized in a week.

Broken contact flows, failed integrations, and Lambda triggers that never functioned. Rebuilt one week before go-live, on-time launch.

Use case 02

Genesys to Connect migration playbook.

Dual-running discipline, flow conversion, compliance rebuild, and disposition data integrity validation. Not a generic migration deck.

Use case 03

Real-time agent context.

Full call transcript and CRM context delivered to the agent before pickup, not after. ServiceNow integration repaired end-to-end.

Use case 04

AI voice agent for verification.

Amazon Connect plus chat assistant plus OCR pipeline replacing manual verification. PHI/PII security designed into the data flow from day one.

Use case 05

PHI-aware contact centre at AEP.

600-agent Medicare contact centre stabilized, observability layered on, and outbound campaign automation rebuilt with TCPA and CMS guardrails.

Use case 06

Compliance auto-enforcement.

ComplianceGen-style automation for disclaimer enforcement on every call. Audit-ready transcripts. CMS, FINRA, TCPA, and HIPAA boundaries enforced at flow level.

Customers we have shipped for.

Named, public references in this vertical. Open the case study for engagement scope, AWS funding, and outcome.

Run a workshop first.

Most engagements open with a fixed-fee, AWS-funded discovery. These three workshops are where it usually starts.

Compliance and audit.

Procurement-grade controls available on request. We run engagements under these regimes routinely.

HIPAA PCI-DSS TCPA SOC 2 Type II CMS Medicare/Medicaid

Voice that scales, compliance that holds, agents that get context first.

Your first call is with a solution architect, not a sales exec. The first engagement is usually an AWS-funded assessment.