The Regulated Finance Playbook for AI Voice Agents
Who This Guide Is For
Banks, lenders, servicers, and insurers looking for a hands-on, specific guide to compliance when deploying AI voice agents.
Use Cases Covered
- Compliant AI chat and voice agents for inbound/outbound customer experience
- Collections
- Onboarding
- Claims
- QA and complaints analytics
- Underwriting/QC assistants
Regulations That Matter Most
TCPA/TSR
Telephone Consumer Protection Act / Telemarketing Sales Rule governs how and when you can contact consumers.
STIR/SHAKEN
Provider certifications and call authentication — aim for A attestation.
State Call-Recording Consent
One-party vs all-party; tailor disclosures per jurisdiction.
FDCPA/Reg F (Collections)
Cadence presumptions (e.g., 7 in 7); "limited-content" voicemail rules.
GLBA Safeguards
Security program, vendor oversight, 30-day incident notice (500+ consumers).
UDAAP
Unfair, deceptive, or abusive acts or practices.
Reg E/EFTA
Electronic Fund Transfer Act requirements.
PCI DSS
Payment Card Industry Data Security Standard for card payments.
GDPR/UK GDPR/PECR and EU AI Act
European data protection and AI-specific regulation for firms with EU exposure.
Core Architecture
Orchestration
A session manager handling barge-in, timeouts, retries, escalation to human agents, and consent capture.
NLP/LLM Core
Streaming ASR, NLU, and a policy-steered LLM (often with RAG) so answers only draw from approved content.
Policy Layer
Guardrails that enforce disclosures, call cadence, payment steps, and quiet zones. A reasoning and policy layer evaluates against SOPs and regulations (TCPA, UDAAP, Reg F, HUD/Fannie/Freddie) before answering or taking an action.
Data Layer
PII redaction, tokenization, data minimization, and encryption in transit/at rest. Tokenized handoff to a secure payment page/IVR, or browser agents that fill forms while keeping card data out of the LLM perimeter.
Evidence Mode
Auto-generates artifacts for regulators and internal audit — on demand. Exports include:
- Policies, prompts, and model cards
- Training sources and change logs
- Attestation proofs and consent traces
- Disclosure audio and transcripts with redaction logs
- Cadence reports and payment evidence
Reduces evidence prep from weeks to hours.
Security and Compliance Posture
- SOC 2 Type II program
- Models trained on UDAAP, FCRA, TILA, HMDA themes and enforcement actions
- Private VPC with PII redaction, access controls, and 100% auditability
- Tenant isolation, encryption, and strict retention
Implementation Timeline
A realistic 90-day path to production, broken down week-by-week with owners, artifacts, and exit criteria. Designed to show time-to-value in 60-90 days with full ROI inside 12 months.
Pranay Shetty
CEO & Co-Founder