How we work

Advise. Implement. Run. Staff.

Four engagement models, one accountable partner. Start where your program is today — and shift models as the work changes, without restarting the relationship.

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Engagement models across a programAdvise → Implement → Run, with Staff alongside

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 0Build & launchSteady 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.

“We need a roadmap and a business case first.”Strategy & Consulting →“We have a decision and need it built and live.”Implementation Services →“We are live but operations and cost are drifting.”Managed Services →“We have the plan but not the certified people.”Talent Solutions →

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.

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.

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