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One accountable partner across every phase
Engagement models across a program
Advise
Strategy & Consulting
2–6 weeks
Implement
Implementation Services
8–20 weeks per release
Run
Managed Services
Transition, then ongoing
Staff
Talent Solutions
Deploys in 2–4 weeks, spans all phases
Week 0Steady state

Advise

Strategy & Consulting

Assessments, target-state architecture and CFO-ready business cases that turn AI ambition into a sequenced, fundable roadmap.

Typical timeline
2–6 weeks
Commercials
Fixed-fee assessment or advisory retainer

Best for: You know AI matters but need a prioritized roadmap, ROI model and executive alignment before committing budget.

  • Current-state AI, CX and data readiness assessment
  • Use-case portfolio scored on value, feasibility and risk
  • Target-state architecture and platform recommendation
  • Business case with cost model and payback timeline
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Implement

Implementation Services

Build, migrate and integrate AI, agentic and CCaaS platforms with production-grade engineering, testing and change management.

Typical timeline
8–20 weeks per release
Commercials
Fixed-scope milestones or capacity-based squads

Best for: The decision is made and you need a partner accountable for delivery to a date, a budget and measurable outcomes.

  • Platform build, migration and integration to CRM/ITSM/data
  • Agentic and conversational AI workflows with guardrails
  • Evaluation harness, regression suites and cutover plan
  • Hypercare, enablement and handover runbooks
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Run

Managed Services

24×7 operations for AI and contact-center estates under one SLA — with LLM Ops, FinOps and a quarterly innovation pod.

Typical timeline
6–8 week transition, then ongoing
Commercials
Per-seat, per-workload or outcome-based

Best for: You are live and need reliability, cost control and continuous improvement rather than another project.

  • L1–L3 support across CCaaS, AI services and integrations
  • Model drift, prompt lifecycle and guardrail monitoring
  • FinOps reporting on tokens, licenses and telephony
  • Quarterly business reviews and net-new use-case delivery
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Staff

Talent Solutions

Platform-certified engineers, architects and CX specialists embedded into your teams in 2–4 weeks — US and India delivery.

Typical timeline
2–4 weeks to deploy
Commercials
Time & materials or dedicated pod

Best for: You own the roadmap and need certified capacity fast, without a long procurement or hiring cycle.

  • Certified pods for Amazon Connect, Genesys, NICE, Kore.ai and Agentforce
  • AI/ML, data and agentic engineering specialists
  • Onshore, nearshore and offshore blends
  • Contract-to-hire and direct placement options
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Which model is right for you?

Pick the sentence that sounds like your program.

How AI and CX programme 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 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 programme 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 AI and CX programme 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 AI and CX programme 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

    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

Where AI and CX programme delivery delivery happens

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.

Support coverage

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.

FAQ

Common questions about engaging Pronix

Can we combine engagement models?

Yes — most enterprise programs start with a short strategy engagement, move into implementation, then transition to managed services with an embedded talent pod for surge capacity. One accountable delivery lead spans all phases.

How quickly can Pronix start?

Advisory engagements typically start within 1–2 weeks, implementation squads within 3–4 weeks, and certified talent pods deploy in 2–4 weeks depending on platform certifications required.

Do you work with our existing systems integrator?

Yes. We frequently run as the AI and CX specialist alongside an incumbent SI, with clear RACI boundaries around platform configuration, agentic workflows and evaluation.

What commercial models do you support?

Fixed-fee assessments, milestone-based implementation, capacity-based squads, per-seat and per-workload managed services, and outcome-linked pricing tied to containment, handle time or cost-per-contact.

Which platforms do your teams hold certifications on?

Amazon Connect, Genesys Cloud CX, NICE CXone, Five9, Kore.ai, Salesforce Agentforce, Microsoft Copilot Studio, Google CCAI and Dialogflow CX, plus AWS, Azure and Google Cloud AI platforms.

What drives the price of an engagement?

Integration count, data readiness, compliance scope, channel and language coverage, and how much of the run you want us to own. Assessments are fixed price, implementations are fixed price against an agreed milestone plan, managed services are a monthly service tier, and embedded specialists are priced monthly per person.

How long until something is live in production?

A bounded assessment lands a roadmap and business case in two to four weeks. A first production release from a fixed-scope implementation typically takes eight to sixteen weeks, depending on integrations and security review.

What does managed support cover, and during which hours?

Release management, integration monitoring, configuration and flow changes, agent and model evaluation and incident response under one 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.

How are embedded specialists priced, and where do they sit?

Staff augmentation is priced monthly per person by role and seniority, with no placement fee on contract engagements and a standard 30-day notice period on either side. People work from our Plainsboro, New Jersey headquarters, our Hyderabad global delivery center, or our London and Dubai teams, in onshore, overlapping-hours or offshore blends.

How is the engagement governed once it is running?

One accountable delivery lead across every model, a weekly delivery forum with your programme manager, monthly service and cost reviews, and a quarterly business review with named executive sponsors on both sides.

Not sure which model fits?

A 30-minute strategy session is enough to map your goal to the right engagement model, timeline and commercial structure — no obligation.

Book a strategy session

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