A systems integrator specialized in AI & CX.
Three practices, one delivery model. Enterprise AI & Agentic AI, CX & Contact Center AI, and AI Business Automation — advised, implemented and run by the same accountable team, from strategy and pilots to production outcomes.
What we integrate, and what it changes for the business.
Each practice has its own hub, its own offers and its own proof assets — and all three run on the same architecture, governance and delivery pods.
Enterprise AI & Agentic AI
Move enterprise AI from isolated pilots to governed production — agents, retrieval, evaluation and the operating model that keeps shipping after the first use case.
- 30–50% cycle-time reduction on agent-run workflows
- Production-grade governance: NIST AI RMF, ISO 42001, EU AI Act
- A funded pipeline of use cases, not a one-off proof of concept
CX & Contact Center AI
One team for CX strategy, contact-center engineering and AI — voice AI, agent assist, knowledge, automated quality and analytics, delivered on your CCaaS platform and run after go-live.
- 40–70% self-service containment on automated intents
- 25%+ handle-time reduction with agent assist
- 8–20 week typical CCaaS go-live per business unit
AI Business Automation
Reimagine back-office and revenue workflows with intelligent document processing, agentic orchestration and integration engineering — measured in straight-through processing, not bot counts.
- 40–70% straight-through processing on targeted workflows
- Fewer handoffs across CRM, ERP and case systems
- Run-state ownership with SLAs after automation goes live
Advise, implement, run — one accountable partner.
The same three-step model applies to every practice, so strategy does not hand off to a different vendor at build time or at go-live.
Baseline the estate, prioritize use cases, select platforms and build the business case executives can fund.
Build, integrate and migrate on your platform of choice with named architects and a fixed first release.
Managed operations with SLAs on availability, containment, quality and cost-to-serve — plus continuous tuning.
Industry context matters — see the industry playbooks or the platforms we deliver on.
pronix.ai is the AI & CX systems integrator practice of Pronix Inc.
One accountable delivery model: US-based architecture and program leadership with global engineering pods running 24×7 build, cutover and hypercare.
- Founded
- 2010 · Pronix Inc
- Headquarters
- 666 Plainsboro Rd, Suite 1361, Plainsboro, NJ 08536
- Delivery centers
- United States · India (Hyderabad) · EMEA
- Engagement model
- Fixed-scope implementation, managed run, staff augmentation and T&M Agile Teams.
Certifications
- AWS Certified (Solutions Architect, Developer)
- Amazon Connect specialty
- Genesys Cloud CX certified
- NICE CXone certified
- Salesforce certified (Service Cloud, Agentforce)
- Microsoft Azure AI certified
Partner tiers
- AWS — Advanced Tier Services Partner
- Genesys — Implementation partner
- Kore.ai — Strategic implementation partner
- NICE CXone — Implementation partner
- Five9 — Channel partner
- Microsoft — Gold partner
- Salesforce — Consulting partner
Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →
Category, scope, platforms and speed to production.
What kind of company is Pronix.ai?
Pronix.ai is a systems integrator (SI) specialized in AI and CX. We advise, implement and run enterprise programs across three practices: Enterprise AI & Agentic AI, CX & Contact Center AI, and AI Business Automation.
How are the three practices different?
Enterprise AI & Agentic AI builds the intelligence layer — agents, retrieval, evaluation and governance. CX & Contact Center AI applies it to customer conversations on CCaaS platforms. AI Business Automation applies it to back-office and revenue workflows. Most enterprise programs touch two of the three.
Do you only advise, or do you implement and run?
All three. Every practice follows the same Advise → Implement → Run model, so strategy, delivery and managed operations stay with one accountable partner instead of splitting across three vendors.
Which platforms do you deliver on?
Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Kore.ai, Salesforce Agentforce, Microsoft Azure AI and Dynamics 365, Google CCAI and Vertex AI, AWS Bedrock and IBM watsonx — the same delivery model across all of them.
How fast can an enterprise get to production?
A scoped first release typically reaches production in about 90 days; a single-business-unit CCaaS go-live runs 8–20 weeks. Scale then follows a quarterly release cadence rather than a single big-bang program.