Autonomous agents that resolve — behind enterprise guardrails.
Not another chatbot. Multi-step agents that plan, retrieve, invoke tools and complete work — with policy-gated autonomy your risk team can approve.
- 90 days — Use case → live pilot
- Use case assessment
- Agent blueprint
- Controlled rollout
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- Amazon Bedrock
- Azure OpenAI
- Salesforce Agentforce
- Kore.ai XO
- Google Gemini Enterprise
- Microsoft Copilot Studio
A working pilot in 90 days — not a 40-page slide deck.
We score your candidate workflows on value, feasibility and risk — and pick the one most likely to reach production.
Planner + tools + retrieval + guardrails, on your cloud, integrated with the systems of record you already run.
Canary release with human-in-the-loop, evals on every run, kill-switch and full audit trail.
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.
- How is agentic AI different from a chatbot?
- Agents plan, invoke tools and complete transactions. Chatbots answer questions. Agents finish work.
- What governance do you build in?
- Policy-as-code, PII redaction, tool allowlists, retrieval grounding, response evals, kill-switch and full transcript audit.
- Which platforms?
- Agentforce, Kore.ai XO, Copilot Studio, Bedrock Agents, Vertex Agent Builder — matched to your stack.
- Can we start small?
- Yes. One workflow, one team, canary rollout. Expansion only after evals prove out.
- How do you measure success?
- Task completion rate, escalation rate, cost-per-resolution and business KPI — baseline vs. controlled canary.
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.
Assess Your Agentic AI Use Case →Go deeper on the platforms, services and talent behind this work.
- Agentic AI services
Agent architecture, tools, guardrails and evaluation.
- AI agent catalog
Named production agents with KPIs, guardrails and rollout plans.
- Use case library
Production agentic AI programmes by industry and platform.