Measurable outcomes, not slideware.
Staff Augmentation · Contract-to-Hire · Managed Pods · Direct Placement engagements are designed around a small set of business outcomes we commit to at kickoff.
Enterprise AI ambition is outpacing enterprise AI talent.
Every enterprise AI, agentic and CCaaS program eventually hits the same wall: not budget, not vision — but the ability to source, vet and retain platform-certified engineers, architects and CX operators fast enough to keep momentum.
- Certified skills are scarceAgentic AI, LLM engineering, Kore.ai (Agent Platform, AI for Service), Amazon Connect, Genesys Cloud CX, NICE CXone, Dynamics 365 CCaaS and Salesforce Data Cloud specialists are the top constrained roles in the market.
- Traditional staffing is too slowStandard vendor bench models deliver generic profiles in 3–6 weeks. Enterprise AI programs need vetted, platform-fluent talent in days.
- Retention is the real costAttrition on strategic AI and CX platforms silently kills roadmaps. You need a partner that owns career pathing, certification and retention — not just recruiting.
- Governance can't be an afterthoughtGlobal enterprises need MSA-ready engagements, background checks, data-residency alignment, security clearances and SOC-aligned delivery from day one.
Every engagement model your program actually needs.
Mix and match by workstream — one architect on the strategy, a pod on the build, and a managed team on run.
Senior AI engineers, LLM/ML architects, CCaaS solution architects, conversation designers, data engineers, CX analysts and program managers — deployed in days, not months.
Cross-functional 4–8 person squads (architect + engineers + QA + PM) pre-built around Agentic AI, Enterprise AI, and specific CCaaS platforms.
Fully managed onshore/offshore capacity with named delivery leads, weekly governance, SLAs and outcome-based commercial models.
Dedicated centers of excellence in India, LATAM and EMEA — with local HR, security, training and 24×7 operations aligned to your time zones.
We hire, train, certify and operate your captive AI/CX capability — then transfer badges, IP and processes to you on a defined timeline.
Where you need permanent capability, we source, screen and place platform-certified talent directly onto your payroll with a warranty period.
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.
We map roles to your platforms, business outcomes and delivery methodology — not just JD keywords.
Multi-stage screening: certifications, hands-on labs, architecture whiteboarding and platform-specific case studies.
MSA, background, security, laptop imaging, VPN, tooling — production-ready in the first sprint.
Access to our internal AI/CX enablement library, mentors and platform partners keeps talent sharp.
Weekly governance, sprint metrics, delivery risk logs and named escalation paths.
Certification paths, rotations across marquee accounts and internal COE communities drive best-in-industry retention.
Use cases already in production with enterprise clients.
Stood up a 12-person agentic AI pod (LLM engineers, LangGraph specialists, data engineers, QA) inside a Fortune 500 insurer in under 4 weeks.
50+ certified NICE CXone and Amazon Connect engineers deployed across three regions for a 30k-seat contact-center modernization program.
Built and now operate a 24-person offshore CoE delivering speech, text and interaction analytics for a global BPO.
Recruited, trained and operated a 60-seat AI + data engineering hub for a leading retailer — transferred to the client in 18 months.
Industries where this ships fastest
- Financial Services
- Insurance
- Healthcare Providers
- Health Payers
- Retail & Ecommerce
- BPO & Outsourcing
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.
How AI and CX staff augmentation 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 AI and CX staff augmentation 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 AI and CX staff augmentation 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 AI and CX staff augmentation 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.
Scoping a Staff Augmentation · Contract-to-Hire · Managed Pods · Direct Placement programme? Send us the brief.
Four fields. Tell us the outcome and timeline and a delivery lead for this area replies with indicative scope, team shape and commercial options.
solutionStaff Augmentation · Contract-to-Hire · Managed Pods · Direct Placement — routed to this team
Questions buyers ask us first.
- How fast can you deploy senior talent?
- Vetted individual profiles typically land within 72 hours; a full pod is normally onboarded and productive within 2–4 weeks depending on security and access requirements.
- Do you support onshore-only engagements?
- Yes. We operate onshore, nearshore (LATAM) and offshore (India) delivery models — and any hybrid combination — including US-citizen and cleared talent when required.
- Can we convert your consultants to full-time employees?
- Yes. Contract-to-hire is a standard model; we offer defined conversion windows and no-fee conversions after agreed tenure.
- How do you guarantee quality?
- Every consultant is technically vetted by senior architects, mapped to platform certifications, and covered by a delivery warranty. Underperformers are replaced at no cost within the ramp window.
- How is a Build-Operate-Transfer engagement priced?
- BOT is typically structured in three phases (build, operate, transfer) with fixed per-seat monthly fees during operate, plus a defined transfer fee. Timelines are usually 12–24 months.
- Do you provide managed service SLAs?
- Yes. Managed teams operate on outcome- or capacity-based SLAs with weekly and monthly governance, quarterly business reviews and executive escalation paths.
- How is staff augmentation rate structured, and what is the notice period?
- Individual specialists and pods are billed on a monthly per-person rate that reflects platform certification, seniority and delivery location; standard notice for adding, rotating or releasing staff is 2–4 weeks, shorter for named backfills already in our bench.
- Where are Pronix.ai talent teams based?
- Talent is sourced and delivered from our Plainsboro, New Jersey headquarters, our Hyderabad global delivery center, and regional hubs in London and Dubai, so you can staff onshore, nearshore or offshore blends to match data-residency and time-zone needs.
- How is an ongoing staffing engagement governed?
- Every engagement has a named account lead, weekly delivery stand-ups, a monthly governance review covering utilization and performance, and a defined escalation path into Pronix.ai leadership for underperformance or scope changes.
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 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
Security questionnaires, controls documentation and named client references are available under NDA. More about Pronix Inc →
Book a working session with our staff augmentation · contract-to-hire · managed pods · direct placement team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.