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

Book a 30-minute ICC assessment

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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.

Talk to an ICC specialist

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.

Ready to transform your business?

Let's talk about your Data & AI/ML solutions roadmap.

Anna Burzyńska
Head of Cloud

FAQs

Does STX Next have real experience in the industrial sector?

Yes. STX Next has delivered production-grade software for enterprise companies across manufacturing, chemicals, energy, logistics, and construction. Our experience includes large-scale IoT data platforms, predictive maintenance systems, cloud migrations, and AI tools for clients such as Linde, Canon Production Printing, Hemiko, and Boart Longyear.

Can you modernize legacy industrial systems without disrupting operations?

Absolutely. We specialize in low-risk modernization of mission-critical industrial systems. Our teams migrate legacy on-premise applications to cloud-native architectures incrementally, ensuring production continuity, secure connectivity, and minimal operational disruption.

What types of industrial companies do you work with?

We work with enterprise organizations in manufacturing, chemicals, oil & gas, renewables, utilities, logistics, supply chain, construction, and mining. Our solutions support Industry 4.0 initiatives, industrial IoT platforms, energy management systems, and complex B2B operational software.

What technologies does STX Next use for industrial software development?

Our core stack includes Python, cloud platforms (AWS, Azure), containerization technologies (Docker, Kubernetes), IoT ingestion tools (Azure Event Hub, Azure Data Explorer), Infrastructure as Code (Terraform), and modern data platforms designed to handle high-volume telemetry and operational data.

Do you support large-scale industrial data ingestion and analytics?

Yes. We build industrial data foundations capable of processing massive telemetry streams – including 100M+ records per day – and unifying sensor, ERP, logistics, and operational data into analytics-ready platforms for real-time monitoring and decision-making.

Can you help implement AI safely in industrial environments?

Definitely. We focus on practical, production-ready AI use cases such as predictive maintenance, computer vision for quality control, and RAG-based knowledge assistants for technical documentation. All solutions are deployed with strong security controls and can run on private or hybrid cloud infrastructure.

Do you build internal operational tools or customer-facing industrial platforms?

Both. We develop internal systems for engineers, plant managers, and operations teams, as well as customer-facing industrial platforms such as configuration and quoting engines, logistics portals, and B2B marketplaces – always optimized for performance and reliability.

How do you handle security and reliability in industrial software projects?

Security and reliability are foundational. STX Next is ISO 27001 certified, and we design systems with secure connectivity, access control, observability, and auditability in mind. Our architectures are built to support high availability, fault tolerance, and the physical realities of industrial operations.

What makes STX Next different from a typical industrial software vendor?

We combine deep industrial domain knowledge with strong engineering and data expertise. Our teams understand the physical processes behind the software – from factory floors to energy grids – and deliver solutions that scale, remain secure, and generate measurable operational impact.