Specialist AI delivery capacity — under your badge.
Subcontract, white-label and managed pods for global systems integrators: certified Agentic AI, Contact Center AI and CCaaS engineers who deliver inside your programme, your methodology and your client reporting. Three vetted profiles in 48 hours.
Partner engagement benchmarks from embedded delivery under master subcontract agreements. Rate comparison uses 2026 US bill-rate bands: specialist-SI engineers at $110–175/hr against Big-4 AI delivery at $300–500/hr.
Signed AI work, unstaffed delivery.
The gap for integrators is rarely demand. It is the certified, senior capacity needed to turn a sold agentic AI or CCaaS programme into a production release without eroding margin or client confidence.
- Bench gaps on certified platformsAmazon Connect, Genesys, Kore.ai and Five9 specialists are scarce, and generalist developers cannot ramp fast enough to protect a committed go-live.
- Fixed-price exposureAgentic AI scope estimated without evals, integration and hardening turns fixed-price wins into margin leakage by the second milestone.
- Pre-sales credibilityBids need reference architectures, honest effort models and working proofs — not a capability slide — to win against specialist competitors.
- Subcontractor riskMost staffing vendors send ticket-takers who need your architect and product owner around them, adding coordination load instead of removing it.
What we deliver behind your delivery organisation.
Architecture, build, integration, evaluation and run — inside your programme governance.
Individual certified engineers joining your squads on your cadence, tooling and security model, billed against your partner rate card.
Multi-engineer pods with a delivery lead, shared SLA, weekly value reporting and replacement guarantee — presented to the client as your team.
Run-phase ownership of agentic and CX AI workloads: evals, prompt and model lifecycle, cost and latency budgets, incident runbooks and on-call.
Solution architecture, reference designs, effort models, platform comparisons and proof-of-concept builds contributed under your brand.
Legacy IVR and on-premise estates moved to Amazon Connect, Genesys Cloud, Kore.ai or Five9, with AI layered in from the first wave.
Stalled AI workstreams re-scoped, re-architected and shipped, with a candid read on what to kill rather than rebuild.
A six-step model, from assessment to managed operations.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
MSA, mutual NDA, non-solicit, non-circumvention and an agreed partner rate card.
Outcome, KPI, platform stack and client constraints scoped in a 45-minute session.
Three vetted profiles in 48 hours with work samples, certifications and references.
Engineers onboard into your tooling, security model and reporting as your team.
Discovery spike, prototype, integration and production release inside your governance.
Managed operations, pod expansion, or knowledge transfer to your permanent bench.
Use cases already in production with enterprise clients.
A badged pod owns migration waves, voice AI and integration so your fixed-price commitment lands on schedule and on margin.
Our engineers take the agentic and LLM workstream while your team runs process, change and enterprise architecture.
Language coverage, ASR/TTS tuning and containment engineering delivered per queue with measured deflection and AHT outcomes.
Reference architecture, effort model and a working proof produced under your brand to de-risk a competitive response.
Short-notice Amazon Connect, Genesys or Kore.ai engineers to protect a go-live when your bench is committed elsewhere.
Evals, model lifecycle, cost control and on-call ownership for AI workloads while you keep the client-facing service wrapper.
Pronix service lines aligned to gsi & si partners outcomes.
Strategy, implementation and operating support are combined around the service motions most relevant to this industry.
Grounded on your data. Governed on day one.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
Questions buyers ask us first.
- What does Pronix do for GSI and SI partners?
- We supply specialist Agentic AI, Contact Center AI and CCaaS delivery capacity that sits behind your client relationship. That can be individual certified engineers subcontracted into your programme, a badged white-label pod delivering under your brand and methodology, or a fully managed AI operations team running the build and run phases behind your delivery organisation.
- Do you work under our badge and methodology?
- Yes. White-label delivery is the default for partner engagements: our engineers use your project management tooling, your reporting cadence and your delivery artefacts, and appear to the client as part of your team. Mutual NDAs, non-solicit and client-confidentiality terms are signed before any client-facing work begins.
- How fast can you add capacity to a signed programme?
- Three vetted profiles within 48 hours of a scoped role brief, and typical time-to-billable of two weeks. For pods we usually mobilise a Lead FDE plus two engineers inside three weeks, with the remainder ramped as the workstream scales.
- Which platforms and stacks are your engineers certified on?
- Amazon Connect, Genesys Cloud, Kore.ai, Five9, Talkdesk and Salesforce Agentforce on the CX side; OpenAI, Anthropic, AWS Bedrock, Azure AI, Google Vertex AI and LangGraph for agentic AI and LLM engineering; plus Salesforce, ServiceNow and mainstream data platforms for enterprise integration.
- How is partner pricing structured?
- Two models. Time and materials at partner bill rates — US bands of roughly $110–175/hr by role, discounted against volume and term — or fixed-scope pods quoted per milestone, which is the usual choice when you have committed a fixed price to your client. Partner rate cards are agreed per master agreement rather than per project.
- Will you go direct to our client?
- No. Partner engagements carry contractual non-circumvention: the client relationship, commercials and account ownership stay with you. We do not market to, quote to or hire from your client during the engagement or for the agreed period after it.
- Can you support pre-sales and bid work?
- Yes. We contribute solution architecture, effort estimates, reference architectures, platform comparisons and proof-of-concept builds into your bids — under your badge — so the response reflects delivery reality rather than optimistic sizing.
- How do you protect programme margin?
- By replacing multi-person shapes with senior forward deployed engineers who run their own discovery, build and integration. A single FDE typically covers what a mixed analyst, developer and integration team would, which removes coordination overhead and keeps blended cost well below Big-4 delivery rates of $300–500/hr.
How we work
Engagement models that fit your program — advisory, build, run, or embedded pods.
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 →
Book a working session with our gsi & si partners team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.