Intelligent Contact Center
Intelligent Contact Center Consulting on Amazon Connect, with ElevenLabs Multilingual Voice
Production-grade AI contact centers for insurance, manufacturing service, and high-volume B2C operations. One flow live in 8 to 12 weeks, not a year-long replatform.
- Amazon Connect, Contact Lens, and Amazon Bedrock combined with ElevenLabs voices for natural Polish, Czech, German, French, Spanish, and 30+ other languages where AWS Polly quality is limited
- AWS Advanced Tier Services Partner, ISO 27001 certified, 500+ engineers across Poland and Mexico working in EU and US time zones
- Pilot-first delivery: one production flow validated before any platform-wide migration commitment
- Integrated with Salesforce, HubSpot, ServiceNow, policy admin systems, and ERPs from day one

Use cases and key questions
Where Intelligent Contact Center delivers measurable improvement, and the technical questions you should be asking before any vendor commitment.
Where Amazon Connect native voices fall short
Amazon Connect uses Amazon Polly for text-to-speech, which is strong for English and major Western European languages but limited for the rest. Polish, Czech, Hungarian, Romanian, Greek, and many regional accents either have one or two voices available, sound robotic on longer utterances, or mispronounce domain-specific terms common in insurance, healthcare, and industrial service contexts. Callers notice. Drop-off goes up. NPS goes down.
We pair Amazon Connect with ElevenLabs as the voice layer for non-English flows. ElevenLabs offers natural-sounding voices in 30+ languages, including the long tail Polly does not cover well, with control over pace, emotion, and pronunciation of branded or technical terms. Integration happens at the contact flow level so the rest of the Amazon Connect stack (Contact Lens, Bedrock, routing, CRM integration) keeps working as designed.
For multilingual operations across Europe or any business serving Polish-speaking customers at volume, this single design choice often matters more than any other technical decision in the contact center build.
Insurance: Multilingual claims intake with a built-in compliance trail
Insurance contact centers handle complex policy language, regulatory requirements, and high call volumes across multiple regions and brokers. An ICC built on Amazon Connect routes incoming claims by policy type and damage category, captures intake details through a voice agent in the caller's preferred language using ElevenLabs voices, and creates the case in the policy admin system before the call ends. Every conversation is transcribed, scored for sentiment and compliance signals, and stored with a clear audit trail your regulator can inspect.
Manufacturing service and warranty: Field service dispatch and parts triage
Service desks in industrial manufacturing handle warranty claims, parts inquiries, and technician dispatch across distributors, end users, and field engineers, often in five or more languages. An intelligent contact center routes incoming requests by equipment line and serial number, looks up service history and parts availability, and dispatches the right technician with the right parts already approved. Time-to-dispatch drops, second visits become rare, and warranty leakage gets visible in operational dashboards instead of buried in call notes.
Healthcare and MedTech: Patient support and device helpdesk
Medical device companies operate patient and clinician helplines covering device operation, prescriptions, side effects, and adverse events. An ICC on Amazon Connect and Bedrock grounds agent answers in IFU documents, clinical guidance, and regulatory protocols, flags suspected adverse events for pharmacovigilance review, and routes urgent cases to clinical staff within minutes. Quality monitoring covers 100% of conversations, which matters when audit findings depend on what was actually said, not what a supervisor remembered.
Technology: Tier 1 deflection and premium support routing
Product support for SaaS, adtech, and platform companies often has predictable Tier 1 queries that swamp agents and slow down complex issues. An AI powered contact center deflects routine questions through grounded self-service, escalates complex tickets to the right specialist with full context attached, and analyses transcripts to identify recurring product issues for the engineering backlog. Support metrics improve and the product team gets a feedback loop they did not have before.
Energy and Utilities: Customer inquiry and outage coordination
Utilities and renewable energy providers handle billing questions, outage reports, connection requests, and meter inquiries at high volume with significant peaks during weather events. An ICC absorbs predictable inquiries through voice and chat self-service, prioritizes outage reports by area and customer impact, and feeds field operations with structured data that previously required manual call summaries. During peaks, the system scales without scrambling for overflow agents.
Our Services
ICC Discovery and Assessment
A two-week structured review of your current contact center, top call drivers, knowledge sources, and integration landscape. You receive a target architecture on AWS, a prioritized list of pilot flows with measurable success criteria, a budget band, and a delivery plan you can take internally for sign-off.
Amazon Connect Implementation and Migration
End-to-end build on Amazon Connect: IVR design, skills-based routing, omnichannel flows for voice, chat, email, and WhatsApp, and staged migration from Genesys, NICE, Five9, Avaya, or legacy on-premises platforms. Cutover happens in stages with traffic shifting gradually, not in a single risky weekend.
Multilingual Voice with ElevenLabs
Production integration of ElevenLabs voices with Amazon Connect for languages where AWS Polly quality is limited, including Polish, Czech, Hungarian, Romanian, Greek, and a long tail of regional accents and dialects. One number can route across 30+ languages with consistent, natural voice quality, including support for accent variants within a single language.
Agent Assist and Knowledge Grounding
RAG-based assistant grounded in your policy documents, product manuals, claims procedures, and internal knowledge bases, deployed on Amazon Bedrock. Agents get accurate, source-cited answers in seconds instead of opening five different systems. Available as an overlay on your existing contact center if you are not ready to migrate.
Quality, Compliance and Conversation Analytics
Contact Lens combined with custom Bedrock pipelines to score every conversation for sentiment, resolution outcome, compliance signals, and upsell opportunities. Supervisors stop sampling 2% of calls and start acting on the full picture, with dashboards that map to operational KPIs and regulatory requirements.
CRM and Core System Integration
Bidirectional integration with Salesforce, HubSpot, ServiceNow, Microsoft Dynamics, policy administration systems, claims platforms, and ERPs. Cases, follow-ups, and fulfillment actions are triggered automatically from inside the call flow, so post-call wrap-up time drops and data accuracy goes up.
How we deliver an Intelligent Contact Center
From discovery to one flow live in production in 8 to 12 weeks. We work in two-week sprints, with traffic shifting gradually so rollback is always an option.
Discovery and Pilot Design
One to two weeks. We map your channel mix, call drivers, knowledge sources, integration landscape, and current KPIs. You provide access to a sample of recent calls or transcripts if available, your knowledge base or policy documents, and a stakeholder for each connected system. The deliverable is a written assessment with two or three pilot flow options, success metrics, a target architecture, and a budget range for the next phase.
Architecture and Voice Strategy
One to two weeks. We design the reference architecture on Amazon Connect, Bedrock, Contact Lens, and ElevenLabs, with language coverage matched to your caller base. Integration patterns for your CRM, ERP, and policy systems are mapped, and we lock the success metrics with your operations and compliance owners. The deliverable is an architecture document, a security review, and a Scrum-based delivery plan with sprint goals.
Pilot Build and Production Cutover
Six to ten weeks. Iterative build in two-week sprints. We configure flows in Amazon Connect, deploy the agent assist or voice agent on Bedrock, integrate ElevenLabs for non-English languages, and wire up CRM and case management. The pilot flow goes live in production for a controlled traffic share, with rollback in place and observability from day one.
Validation and Metrics Review
Two to three weeks. The pilot runs against the success metrics agreed in Step 1. We review call recordings, agent feedback, sentiment trends, deflection rates, and resolution outcomes with your operations team. The output is a go/no-go decision on broader rollout, plus a backlog of tuning items for prompts, routing logic, and QA scoring rules.
Rollout and Continuous Optimization
Ongoing. Expansion to additional flows, channels, languages, and business units. Runbooks, monitoring dashboards, and on-call procedures are handed to your team, with training so they can own the platform. Optional managed services if you want us to keep tuning prompts, routing, and integrations as your business changes.
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