Implemented on the platforms you already own
- Amazon Connect
- Genesys Cloud CX
- NICE CXone
- Five9
- Kore.ai
- Google CCAI
Pronix.ai is a specialized AI & CX systems integrator. We implement, migrate, run and staff contact center AI, agentic AI and AI business automation for regulated enterprises in healthcare, health payers, insurance, financial services, retail and BPO — on Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Kore.ai, Google CCAI, Salesforce Agentforce, Microsoft Azure AI and AWS Bedrock.
Engagements start four ways: a fixed-price assessment and roadmap in two to four weeks, a fixed-scope implementation with a first production release in eight to sixteen weeks, a monthly managed service tier with 24×7 coverage available, or specialized talent priced monthly per person. Delivery runs from Plainsboro, New Jersey (headquarters), Hyderabad, London and Dubai.
- Financial ServicesTop-10 US Bank
- InsuranceNational P&C Insurer
- Healthcare ProvidersFortune 500 Health System
- Health PayersRegional Managed Care Payer
- Retail & EcommerceGlobal Omnichannel Retailer
- BPO & OutsourcingGlobal BPO (40k+ seats)
- Technology & SaaSGlobal Enterprise SaaS
- Telecom & UtilitiesNational Telecom Operator
Named client logos available under NDA on request.
Pronix Inc (pronix.ai)Founded 2010HQ Plainsboro, New Jersey, USADelivery: United States, India (Hyderabad), EMEAFixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.More about Pronix Inc
- AWS — Advanced Partner · Generative AI Competency Partner
- Microsoft — Gold partner
- Kore.ai — Reseller and Strategic Implementation Partner
- Genesys — Implementation partner
- NICE CXone — Implementation partner
- Five9 — Channel partner and Implementation partner
- Salesforce — Consulting partner
- Google Cloud — Select partner
- OpenAI — Select partner
From estate to outcome
One production path. Three accountable moves.
Pronix.ai works across your existing platforms and teams to turn an approved AI use case into a governed, measurable production system.
Your enterprise foundation
Bring channels, data and identity into one governed flow.
We connect the platforms you already own to the data, controls and operating teams that production AI depends on.
CCaaS · CRM · knowledge · identity · data
Platform-neutral architecture
Controls in every release
Outcomes measured in production
Before → after
In production, not in pilot
Enterprise security and privacy controls, with HIPAA-aware and PCI-aware handling for regulated workloads.
Tier-1 inquiries handled without a live agent
Repeat calls within 24 hours
Legacy → Amazon Connect cutover
Vendor-neutral — certified where it counts
Deep in three domains. Partners on the rest.
Contact center AI, enterprise agentic AI and AI business automation — the three places where AI actually returns money.
Customer Experience & Contact Center AI
Deflect Tier-1 contacts, cut AHT, and modernize the AI call center platform underneath.
Journey and channel design, high-containment voice AI and conversational AI, agent assist, auto-QA, IVR/IVA modernization and CCaaS migration — improving call deflection, first contact resolution and CSAT on Amazon Connect, Genesys, NICE CXone, Five9 and Google CCAI.
Enterprise Agentic AI
AI agents that complete work end-to-end, not chatbots that answer questions.
Multi-agent orchestration, tool use, RAG over governed retrieval, evaluation harnesses and human-in-the-loop controls your risk team can audit.
AI Business Automation
Request to resolution, without the swivel chair.
Customer service automation, intake, document extraction, decisioning and exception handling for claims, prior auth, RCM, disputes and returns — replacing brittle RPA with agentic workflows. The same agentic layer powers employee experience: AI workplace, IT and HR service delivery.
AI Business Automation also runs employee-facing work — IT, HR and workplace service. Explore AI for Employee Experience
- Contact center AI & CXVoice AI · agent assist · auto-QA
- Enterprise agentic AIOrchestration · tools · evals
- AI business automationIntake · documents · decisioning
- CCaaS: Amazon Connect · Genesys · NICE · Five9
- Models: Bedrock · Google · OpenAI · Anthropic
- Systems of record: Epic · Salesforce · ServiceNow · core platforms
Specialist partner vs. global SI — what actually changesEnterprises hire us directly; global SIs and BPOs bring us in as the AI and CX layer.
| Dimension | Global SI alone | With Pronix.ai as specialist partner |
|---|---|---|
| Scope | Every technology, every industry | Contact center AI & CX, Enterprise Agentic AI, AI business automation — the specialist layer |
| Time to production for agentic workstream | 6–18 month programme, pilot-first | First production AI agent in ~90 days, eval harness on day one |
| Who shows up | Partner sells, pyramid delivers | The practitioner in your first call leads the build |
| Built for | CIOs, CDOs, Chief AI Officers and CX / COO leaders routed through a generalist account | The same enterprise leaders, working directly with the team that builds |
| Platform stance | Aligned to the alliance that funded the deal | Vendor-neutral across CCaaS and model providers — including “keep what you have” |
| Engineering | Subcontracted or offshored away from the design team | In-house digital engineering pods build the integrations they designed |
| After go-live | Transition to a run team you've never met | Same team runs it under one SLA |
| Commercial shape | Rate card and FTE count | Outcome-linked scope with a defined production date |
If your programme needs 300 people across every tower, your global SI should lead it — we'll own the AI and CX layer inside it. If you need a standalone 90-day production agent, start with a working session.
Contact center AI ROI calculator
OpenAgentic AI ROI model
OpenContact center AI readiness score
OpenUse the result as a planning baseline; Pronix.ai can validate the assumptions, build the solution and support it in production.
Review the business case with a specialistProduction systems, reviewed with your operators — not slideware.
Every engagement ends in a running system your teams can see: live dashboards, measured before-and-after outcomes, and an audit trail your risk and compliance leads have already signed off.
Proof of production, not proof of concept.
Live enterprise deployments — named platform, named metric, an audit trail risk and compliance signed off.
Unified patient-services concierge handles 52% of inquiries without a live agent
Patients were calling separate numbers for scheduling, billing, pharmacy and portal help — and getting different answers. pronix.ai built a unified patient-services concierge on voice and chat, on Amazon Connect with Bedrock-backed retrieval across Epic and Health Cloud — cutting Tier-1 volume while holding a clinical-safety review gate on every response.
Agentic RCM denial workqueue for a Fortune 100 health system.
Life insurer FNOL voice AI on a leading CCaaS.
National retailer contact-center cutover with zero brownout.
Global bank AI service desk for IT support and access requests.
Six industries. High volume, high regulation, high cost of being wrong.
Each vertical has its own reference architecture, use-case library and delivery pod — a prior-auth agent and a returns agent share almost nothing.
Explore industriesAdvise → Implement → Run. Same team, all three.
One team from business case to production to steady-state operations — no handoff to a delivery pyramid.
- 01Advise
Readiness, business case and target operating model — in weeks, not a discovery phase. You get a written hypothesis and a production date, not a maturity curve.
Explore strategy & consulting - 02Implement
Design, build, integrate and evaluate on the platforms you already own. Digital engineering, evaluation harness, guardrails and audit trail from the first sprint — not retrofitted before go-live.
See how we implement - 03Run
The team that built it operates it. Managed agent operations, model and prompt lifecycle, containment tuning and CCaaS support under one SLA.
See managed services & pods
Build the internal case for a specialist SI
Download the executive brief or the full capabilities deck — written for CIOs, Chief AI Officers and CX / COO leaders in the conversation where someone asks whether to add a specialist SI or go with the global SI alone.
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.
How Enterprise AI and CX delivery engagements are bought, supported and staffed.
Most enterprises start with an assessment, move into a fixed-scope build, keep it running under managed support, and add certified AI, CX and CCaaS specialists where their own team is short. All four can run together under one commercial agreement.
Assessment and roadmap
A bounded Enterprise AI and CX delivery assessment: current-state review, prioritized use cases, target architecture, business case and a sequenced delivery roadmap.
Fixed price · 2–4 weeks typical
Fixed-scope build
A defined Enterprise AI and CX delivery implementation — architecture, build, integration, testing, evaluation and a documented production release against agreed acceptance criteria.
Fixed price · 8–16 weeks typical
Managed run and support
Monthly operations for Enterprise AI and CX delivery in production: release management, integration monitoring, configuration changes, model and agent evaluation and incident response under one SLA.
Monthly service tier · 24×7 coverage available
Staff augmentation
Certified AI, CX and CCaaS specialists, solution architects and delivery leads embedded in your team, reporting to your delivery manager.
Monthly per person · typically live in 2–4 weeks
Programs are led from our Plainsboro, New Jersey headquarters and delivered with our Hyderabad global delivery center, plus London and Dubai for EMEA and Middle East clients.
Business-hours support in your time zone as standard, follow-the-sun 24×7 for production contact center and agentic workloads, with named escalation and monthly service reviews.
What Pronix.ai does, in plain terms
- What is Pronix.ai?
- Pronix.ai is a specialized AI & CX Systems Integrator. We advise, implement and run Enterprise AI & Agentic AI, CX & Contact Center AI and AI Business Automation for regulated enterprises — from strategy and pilots to production outcomes.
- What does Pronix.ai actually deliver?
- Three practices: Enterprise AI and agentic systems (agent architecture, retrieval, orchestration, evaluation and governance); CX and contact center AI (voice AI, self-service, agent assist, automated quality and CCaaS migration); and AI business automation across customer and employee workflows, including AI for IT, HR and the workplace.
- How long does a first production AI agent take?
- Typically around 90 days from kickoff to a first agent running in production, depending on data readiness, integration surface and governance requirements. Engagements are structured as diagnostic, pilot, scale and managed run.
- Which platforms does Pronix.ai implement?
- Kore.ai (reseller and strategic implementation partner), Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Salesforce Agentforce, Microsoft Azure AI and Copilot Studio, Google CCAI and Gemini Enterprise, AWS Bedrock and Anthropic Claude.
- Which industries does Pronix.ai serve?
- Healthcare providers, healthcare payers, insurance, financial services and banking, retail and e-commerce, and BPO — including agentic BPO delivery models.
- Does Pronix.ai run what it builds?
- Yes. The team that builds the solution also runs it under a single SLA, covering monitoring, drift and evaluation, model and platform upgrades, and continuous optimisation.
- What drives the price of an engagement, and how is it structured?
- Price is driven by the number of integrations, data readiness, compliance scope, and the channels and languages in play. Engagements are bought in four shapes: a fixed-price assessment and roadmap, a fixed-scope implementation billed against milestones, a monthly managed service tier, and staff augmentation priced monthly per person.
- How quickly can something be live in production?
- An assessment and roadmap typically takes two to four weeks. A first production release — a live agent, a modernized IVR flow or an automated workflow — typically lands eight to sixteen weeks after kickoff, depending on integration surface and governance sign-off.
- What does managed support cover, and during which hours?
- Managed support covers release management, integration monitoring, configuration changes, agent and model evaluation, containment tuning and incident response under a single SLA. Business-hours coverage is standard, with follow-the-sun 24×7 available for production contact center and agentic workloads, a named escalation path and monthly service reviews.
- Can we hire Pronix.ai specialists into our own team instead?
- Yes. Staff augmentation is priced hourly/monthly per person by role and seniority, with a 30-day notice period either side, and engineers typically live within two to four weeks. Certified platform specialists, Forward Deployed Engineers, AI engineers, CX architects and delivery leads are available onshore, in overlapping hours or offshore.
- Where do the people delivering our engagement sit?
- Delivery runs from our Plainsboro, New Jersey headquarters, our Hyderabad global delivery center, and our London and Dubai locations — assembled as onshore, overlapping-hours or offshore blends, always with one accountable delivery lead.
- How is a specialist AI and CX integrator different from a global SI?
- A global SI covers every technology and every tower, and should lead a large multi-year programme. Pronix.ai is the specialist layer inside or instead of that: contact center AI, agentic AI and AI business automation only, with the practitioner from your first call leading the build, vendor-neutral platform choice, and the same team running the system after go-live.
- What happens in a 30-minute session with Pronix.ai?
- You bring your top use case and current baseline. You leave with a written hypothesis, a reference architecture on the platforms you already own, and an honest read on whether it is a 90-day production agent or a longer programme. A delivery lead replies within one business day.
More answers to enterprise AI and CX questions →
Updated
Bring your top use case. We'll bring a written hypothesis.
30 minutes with the practitioner who'd lead your build. You leave with a written hypothesis, a reference architecture on your stack, and an honest read on whether it's a 90-day agent or an 18-month programme.
- A written hypothesis for your top use case
- A reference architecture on the platforms you own
- Indicative scope, commercial model and production date
A delivery lead replies within one business day. Prefer to scope it yourself first? Take the AI readiness assessment →
- Patient services conciergeContainment 52%Live
- FNOL intake agentFNOL < 90sLive
- Denial workqueue agent3× throughputLive
- Returns & post-purchase agentGolden set 94%Eval
Updated