
One accountable path from ambition to operations
Advise, implement and run — without the handoffs that slow enterprise AI.
Pronix combines business-case discipline, certified engineering and managed operations so every program has one path to production outcomes.
Strategy & business case
Fund the right use cases before committing the platform.
Prioritize the portfolio, establish the baseline and align architecture, governance and economics around outcomes executives can defend.
Roadmap · ROI model · target architecture
CFO-ready roadmaps
Certified delivery pods
Managed production outcomes
Agentic AI, enterprise AI platforms and the operating model behind them.
Move from copilots to autonomous agents — with the governance, evaluation and platform engineering to run them in production.
The map of every Pronix AI implementation service — strategy, platform, agents, conversational AI, CCaaS, data foundations, automation and managed run.
Explore service →Design, build and govern autonomous AI agents across CX, operations and revenue workflows — from copilots to multi-agent systems.
Explore service →LLM platforms, retrieval-augmented generation, evaluation and AI governance implemented at enterprise scale on AWS, Azure or GCP.
Explore service →Retrieval-augmented generation built for production — hybrid retrieval, document-level permissions, citation-required answers and measured faithfulness.
Explore service →Policy, risk tiering, review gates, evaluation evidence and production monitoring — governance that gets AI approved instead of stalled.
Explore service →Reimagine back-office and front-office workflows with intelligent document processing, agentic RPA and AI-native orchestration.
Explore service →Vector platforms, enterprise connectors, entitlements and MDM alignment — the retrieval layer that turns AI pilots into governed production.
Explore service →Cloud-native application engineering, monolith modernization, integration APIs, DevSecOps and quality engineering — the delivery backbone AI programs run on.
Explore service →Design the AI center of excellence, decision rights, governance gates, funding model and delivery pods that move use cases from pilot to production every quarter.
Explore service →These services roll up to the Enterprise AI & Agentic AI practice and the AI Business Automation practice — see the three-practice solutions overview →
AI-driven CX across every channel and every platform.
Voice AI, agent assist, conversational AI, knowledge, automated QA and analytics — delivered on Amazon Connect, Genesys, NICE, Five9, Kore.ai, Salesforce and Google CCAI.
Greenfield builds and Avaya/Cisco/Genesys migrations on Amazon Connect — flows as code, Contact Lens, Amazon Q in Connect and Lex self-service.
Explore service →Architect flows, routing, Genesys Cloud AI and WEM implemented with HIPAA, GxP and PCI controls designed in from day one.
Explore service →Studio scripting, omnichannel routing, Enlighten AI and 100% automated quality — rolled out program by program for enterprise and BPO floors.
Explore service →IVA self-service, blended outbound with TCPA controls, CRM integration and wave-based migration on or off Five9 with zero outage minutes.
Explore service →Agent Platform virtual agents, Contact Center AI agent assist and Search AI grounding deployed over your existing CCaaS — 38–41% containment in production.
Explore service →End-to-end AI-driven contact center transformation — strategy, platform selection, implementation and managed operations.
Explore service →Natural voice bots with high containment on Amazon Lex, Google CCAI, Kore.ai, Genesys and NICE Enlighten.
Explore service →Real-time coaching, next-best-action and auto-summary for contact center agents — grounded in your knowledge base.
Explore service →Digital, chat and messaging bots across web, mobile, WhatsApp and social — orchestrated with your CCaaS and CRM.
Explore service →Enterprise knowledge platforms, semantic search and RAG pipelines that make agents and bots actually accurate.
Explore service →AI-driven quality management — score 100% of interactions, surface risk and coach agents automatically.
Explore service →Conversation and journey analytics that connect voice-of-customer signal to CSAT, containment and revenue outcomes.
Explore service →These services roll up to the CX & Contact Center AI practice.
Delivered on 10 partner platforms — see the full platforms list →
We stay on the hook once it is running.
Managed run covers monitoring, model and prompt tuning, quality scoring, cost governance and SLA reporting — the difference between an AI launch and an AI capability.

Advise, implement, staff or run — under one contract.
Choose the engagement model that fits your team: strategy and consulting, implementation, certified talent, managed operations, or partner-led delivery.
AI strategy, use-case discovery, platform selection, model-risk framing and executive-ready business cases — before the build.
Explore service →Platform implementation across Amazon Connect, Genesys, NICE, Five9, Salesforce, Google, Microsoft, Kore.ai, Dialogflow CX and IBM watsonx.
Explore service →Managed operations for AI, CCaaS and automation stacks — SLAs on availability, containment, quality and cost-to-serve.
Explore service →Work with us as SI partner, implementation partner or consulting partner for AWS, Genesys, NICE, Five9, Kore.ai, Salesforce and Microsoft.
Explore service →AI, CCaaS and platform-certified engineers, architects and program managers — direct hire, contract or dedicated pods.
Explore service →AI engineers embedded in your teams and repositories — shipping production agents and integrations alongside your own people.
Explore service →Subcontracted and white-label AI, CCaaS and automation delivery for global and regional systems integrators, under your brand and your SLAs.
Explore service →Scope, partner model, platforms and speed to production.
The five questions that come up in every enterprise evaluation — answered before the first call.
What does Pronix.ai actually do?
Pronix.ai is a specialist systems integrator (SI) that implements contact center AI and enterprise AI agents for regulated enterprises. We work in three areas only — customer experience and contact center AI, Enterprise Agentic AI, and AI business automation — and we design, build, integrate and then operate these systems for enterprise clients in healthcare, insurance, financial services, retail and BPO.
How is Pronix.ai different from a large systems integrator?
Pronix.ai does three things; a global systems integrator does everything. That focus is why a first production agent ships in about 90 days instead of 6–18 months.
Global systems integrators (SIs) run large, multi-tower programmes across every technology and industry. Pronix.ai partners with them — and with regional SIs and BPOs — while working directly with enterprise clients as the specialist layer for contact center AI, agentic AI and AI business automation. Engagements are led by the practitioner who will run the build, and the same team that builds the AI agents operates them under one SLA.
Who are your clients, and who do you partner with?
Our clients are enterprises — the CIOs, Chief AI Officers and CX / COO leaders who own the AI and customer service budget. Global systems integrators, regional SIs and BPOs partner with us to bring a specialist contact center AI and agentic AI layer into programmes they lead.
Which platforms do you implement on?
We are vendor-neutral across Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Kore.ai and Google CCAI, with Amazon Bedrock, Azure OpenAI, Anthropic and Google models for the agent layer. We work on the platforms you already own, and we will tell you when your incumbent platform is the right answer.
How fast can a governed AI agent reach production?
About 90 days to a first production agent, with the evaluation harness, guardrails and audit trail in place from the first sprint rather than retrofitted before go-live.
Take the pronix.ai story into your organization
Share the executive brochure or capabilities deck with procurement, your board or your implementation team.
Executive brochure
One-page PDF for CIOs, CTOs and business executives. Free with a verified work email.
Capabilities deck
11-slide PDF + editable PPTX for executive briefings and board packs.
AI for Employee Experience
8-page enterprise capabilities brief: use cases, reference architecture, business case and case studies.
Assess. Design. Pilot. Implement. Scale. Operate.
Every service above is delivered under the same six-step approach — with AI, CRM, contact center and knowledge integrated from day one, and measurable business outcomes at each gate.
Model the business case before the first workshop.
Free, ungated calculators for the programs enterprises fund first — each with conservative, expected and aggressive scenarios and a board-ready PDF.
- Contact Center AI ROI CalculatorContainment, AHT and deflection value modelled against your current agent cost base.
- Agentic AI ROI CalculatorMulti-step autonomous workflows — task completion, escalation rate and supervision cost.
- AI Business Automation ROI CalculatorBack-office and workflow automation value across volume, handling time and error rework.
- AI Build vs Buy ROI CalculatorTotal cost of a platform licence versus in-house build, over a three-year horizon.
- AI Run-Cost & FinOps CalculatorCost per resolution from token volume, model mix, caching and human escalation.
- Voice AI Cost per Minute CalculatorPer-minute AI cost against an occupancy-adjusted agent, with escalation and cost per contained call.