Regulated AI — model risk approved.
Agentic AI for banking service, wealth, claims and fraud — with model risk, compliance and audit wired in from day one.
- SR 11-7 — Aligned model governance
- Use case governance
- Regulated build
- Audit-ready ops
30 minutes, no slides. A senior delivery lead reviews your stack and gives you a concrete pilot outline.
- AWS Bedrock
- Azure OpenAI
- Salesforce Financial Services
- NICE CXone
- Kore.ai
- IBM watsonx
A working pilot in 90 days — not a 40-page slide deck.
Ranked by value, model risk tier and reg exposure — with a model-risk-ready evidence pack.
Retrieval grounding, PII redaction, decision logs, human-in-the-loop and MRM documentation for every agent.
Full transcript audit, eval loops and quarterly MRM reviews with your compliance team.
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 do you handle model risk?
- SR 11-7 aligned documentation, validation and monitoring — with your MRM team involved from day 1.
- PII and data residency?
- In-tenant deployment, PII redaction, data residency by jurisdiction, no LLM training on your data.
- Which workflows are typical first?
- Servicing (retail bank, wealth), claims triage and fraud investigation copilots.
- Integration with core systems?
- Fiserv, FIS, Jack Henry, Guidewire, Salesforce FSC and custom mainframes via secure connectors.
- How fast?
- Governed pilot to production in 90 days behind a 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 a Governed AI Use Case →Go deeper on the platforms, services and talent behind this work.
- Financial services solutions
AI for banking, lending, wealth and insurance operations.
- AI governance
Model risk, controls and audit evidence for regulated AI.
- Enterprise AI services
Strategy, platform, delivery and managed run.