From AI pilot to production outcomes.
70% of enterprise AI pilots never reach production. We close the gap with reference architecture, governance and a 90-day production plan you can defend to your board.
- 90 days — Pilot → governed production
- Production readiness audit
- Reference architecture
- Production pilot
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- Amazon Bedrock
- Azure OpenAI
- Google Gemini Enterprise
- Salesforce Agentforce
- Kore.ai
- NICE CXone
A working pilot in 90 days — not a 40-page slide deck.
We assess your top 3 stalled pilots against a 12-point production checklist — architecture, data, evals, guardrails, ops.
A hardened blueprint on your cloud (AWS/Azure/GCP) — orchestration, retrieval, tools, observability and governance in place.
One workflow, live behind a controlled canary in 90 days, with weekly steering and a defensible business case.
“We had three pilots stuck in POC purgatory. Pronix got one live in a quarter with the governance our risk team demanded.”
Questions buyers ask us first.
- What does the engagement cost and how is it scoped?
- Scope, duration and price are fixed in a short written proposal after a 45-minute discovery call — no open-ended time and materials. Diagnostics and assessments are fixed-fee; pilots and production programmes are milestone-based, with the managed run priced per month against an SLA.
- Who from Pronix actually delivers the work?
- A named delivery lead plus a small pod of certified platform engineers, solution architects and, where relevant, conversation designers and data engineers. The same pod carries the work from design through production, and you can extend it with additional certified talent from our bench.
- How does this work with our existing platforms and partners?
- Pronix delivers on your current CCaaS, CRM and cloud estate — Genesys Cloud, NICE CXone, Five9, Amazon Connect, Kore.ai, Salesforce, Microsoft and Google — and works alongside incumbent system integrators rather than requiring a platform change.
- Why do most AI pilots fail to scale?
- Missing production requirements: no evals, no guardrails, no observability, no operating model. We fix those in parallel with the build.
- Do you replace our internal team?
- No. We work alongside your team, transfer the architecture and run the first production quarter with you.
- Which clouds do you support?
- AWS Bedrock, Azure OpenAI, Google Gemini Enterprise. We're cloud-neutral and match your existing landing zone.
- How is governance handled?
- Policy-as-code guardrails, PII redaction, retrieval grounding, response evals and full audit trails — wired in from day one.
- What's the commercial model?
- Fixed-price 90-day engagement with defined production exit criteria, then managed ops or T&M expansion.
Ready to see it in your stack?
30 minutes with a delivery lead. Your architecture, your KPIs, a concrete pilot outline you can defend internally.
Book an AI Production Readiness Session →Go deeper on the platforms, services and talent behind this work.
- Enterprise AI services
How Pronix designs, builds and runs enterprise AI.
- Agentic AI services
Agent architecture, tools, guardrails and evaluation.
- Talent Hub
Certified AI and CX engineers to extend your team.