Regulated AI across servicing, fraud, disputes and wealth ops.
Servicing, fraud, disputes, collections and wealth operations — AI, contact-center and automation built for regulated financial workflows.
Ranges reflect outcomes observed across Pronix financial-services engagements; results vary by portfolio, core-system topology and control environment.
Financial services AI has to be defensible on every single decision.
Every AI decision that touches a customer or a regulated process needs governance, evidence and human oversight. That doesn't mean less AI — it means better-engineered AI mapped to your model-risk framework.
- Regulatory frameworkOCC, CFPB, SR 11-7, PSD2 and applicable privacy regimes — model risk and consumer protection standards are non-negotiable.
- Fraud vs frictionFraud controls that friction good customers cost more than they save — AI resets that tradeoff.
- Servicing cost pressureDigital-first customers still call — cost-to-serve rises unless AI containment steps in.
Regulated AI and CX capabilities for financial services.
Voice AI and digital resolution for balance, transactions, transfers, statements and card management.
AI-assisted fraud triage, dispute intake, evidence gathering and Reg E/Z-compliant resolution.
Retell AI voice agents with policy-grounded scripts, FDCPA/UDAAP-aligned, hot transfer on hardship signals.
RAG copilots for advisor onboarding, KYC refresh, portfolio review prep and client servicing.
NICE Enlighten + Azure OpenAI with governed knowledge, live compliance checks and after-call summary.
Model inventory, evaluation harness, monitoring and validation mapped to your SR 11-7 framework.
A six-step model, from assessment to managed operations.
Every engagement follows the same rhythm — so business, IT and delivery stay aligned from opportunity to outcome.
Servicing, fraud and collections baseline.
AI architecture and model-risk plan.
One line of business live end-to-end.
Core banking / card core integration.
Lines of business, regions, languages.
Managed operations with model risk governance.
Use cases already in production with enterprise clients.
NICE Enlighten + Azure OpenAI copilot with RAG over product, policy and compliance content — 20–30% AHT reduction, 90%+ auto-summary acceptance.
Multi-agent pipeline pulls entity data, screens adverse media, generates analyst-ready refresh packets — 50% analyst time reduction.
Policy-grounded voice agent with hot transfer on hardship signals — 3–5x right-party contact rate vs. dialer-only, full audit trail.
Governed RAG with content connectors, evaluation harness and audit-ready citations inside the advisor workstation.
IDP + rules extract, validate and route to underwriting with confidence scoring — days to hours on document-driven decisions.
IDP pipeline validated against golden data and screening providers — onboarding cycle-time cut 50%+.
Agentic AI for Financial Services
How banks, insurers and wealth managers deploy autonomous agents for KYC, fraud, servicing, collections and underwriting — with the governance, model-risk and audit patterns that keep examiners comfortable.
Pronix service lines aligned to financial services ai & cx solutions outcomes.
Strategy, implementation and operating support are combined around the service motions most relevant to this industry.
Grounded on your data. Governed on day one.
Every platform we implement is only as good as the retrieval, connectors and controls behind it. These are the horizontal solutions we ship with every engagement.
Where this fits in our practice
Questions buyers ask us first.
- How do you align to SR 11-7 model risk?
- Governed model inventory, evaluation, monitoring, validation and change management — mapped to your existing model-risk framework, with challenger evaluations and reproducible audit trails per model version.
- Do you integrate with core banking / card cores?
- Yes — FIS, Fiserv, Jack Henry, TSYS and custom cores via standard APIs and message-bus patterns.
- How do you keep collections voice agents FDCPA/UDAAP-safe?
- Retell AI voice agents run policy-grounded scripts, honor consent and time-of-day rules, escalate to humans on hardship or dispute signals, and produce a per-call audit trail retained for compliance review.
- Can this cover wealth and asset management?
- Yes — advisor copilots, onboarding, KYC and client servicing patterns apply directly.
Book a working session with our financial services ai & cx solutions team.
30 minutes. Your architecture, your data, your KPIs. You leave with a concrete pilot outline and a business case worth defending.