AI agents & chatbots for financial services
Compliance-aware AI for insurance, lending, broker-dealers, and financial advice platforms. Voice agents for policy servicing, chatbots for underwriting intake, and CRM agents that respect your supervision and recordkeeping obligations.
Financial services is where AI breaks on compliance, not tech.
The ICP-specific pain in financial services isn't the model quality — it's the envelope around it. Call recording and supervision obligations under FINRA, FCA, and DORA aren't negotiable: every customer-facing conversation needs to be captured, archived, and reviewable by a named supervisor under documented retention. Data residency under GDPR and SOC 2 adds a second layer — where the audio is transcribed, where the embeddings are stored, which sub-processor sees which byte.
Then come the regulatory disclosures that have to land on every customer touch, the audit trail requirements for every decision the AI makes, and the advice-vs-information boundary that a generic chatbot will cross the minute a retail customer asks "so what should I do?" Any one of these is enough to kill a deployment in compliance review. Together, they kill most of them.
Most AI vendors hand-wave compliance — they'll point at a SOC 2 report and a DPA template and move on. We don't. We don't deploy until the audit trail is production-ready, the advice boundary is regression-tested, the supervision workflow hooks into your existing Smarsh or Global Relay instance, and your compliance team has signed off with a clear scope document. That's the bar.
Three deployments where financial-services AI actually pays back.
Each built with the compliance architecture baked in from day one, not bolted on in phase two.
Policy & account servicing voice agent
Inbound voice agent for insurance policy changes, billing inquiries, claims intake, and account servicing. Records and archives every call per your supervision policy; disclosures baked in at the script layer; escalates advice-adjacent questions to a licensed human.
Insurance & lending lead-qualification agent
Web + WhatsApp + voice agent that qualifies inbound leads against underwriting guidelines, captures the required intake fields, and books the licensed producer or loan officer for the advice conversation.
Back-office document processing agent
Agent that parses underwriting documents, policy documents, loan files, and KYC packets; extracts structured fields into your core system; and flags anomalies for human review. Human-in-the-loop on any material decision.
Voice servicing pilot with full supervision trail.
Voice servicing pilot with full supervision trail.
Broker network needed to reduce mid-cycle servicing call volume on the licensed producers without crossing the advice boundary. We deployed a voice agent for low-complexity servicing (billing, address change, proof-of-insurance letters) with full call recording, archival, and supervision-ready transcripts. Every advice-adjacent question escalated to a licensed producer with conversation context.
The stack we deploy when the regulator shows up.
Built to survive a supervision review, a data-residency audit, and a DORA resilience test — not just a sales demo.
LiveKit · Vapi · Twilio Flex
Self-hosted LiveKit for full control over call recording and archive; Twilio Flex for integration with existing contact-center estate.
S3 WORM · Smarsh · Global Relay · custom
Compliant call recording and archive integrations; WORM storage and retention per your policy.
Salesforce Financial Services Cloud · HubSpot Enterprise · custom
Native integration where the org is already standardized; lift-and-shift integrations otherwise.
Azure OpenAI · private Claude · self-hosted Llama
Azure OpenAI for enterprise agreements; private Claude on AWS for clients on the AWS side; self-hosted for strictest residency.
Textract · Unstructured.io · custom OCR
OCR + reasoning on underwriting docs, policy docs, loan files. Schema-guided extraction with confidence-scored output.
LangSmith · CloudWatch · custom audit exports
Full trace of every agent decision; audit-ready exports for supervision; retention configurable per regime.
Compliance architecture, not compliance theater.
The four questions your compliance team will ask in the first review call. Here's how we answer them before they ask.
Call recording & supervision
Every customer-facing voice interaction is recorded, transcribed, and archived to your chosen store (S3 WORM, Smarsh, Global Relay) with retention policies matched to your regime. Supervisors get a searchable, flagged transcript view.
Advice-vs-information boundary
The agent is scripted and guard-railed to information-only responses on regulated topics. Any advice-adjacent question triggers a handoff to a licensed human with conversation context. Documented in the prompt layer and tested against a regression suite.
Data residency
EU-hosted deployment for EU clients; US-hosted for US; both supported in parallel where a client spans regions. Data processing agreements with every sub-processor; self-hosted option removes sub-processors entirely.
Audit trail
Every agent decision, tool call, model call, and escalation is logged with inputs, outputs, timestamps, and prompt versions. Auditor-ready export in CSV or JSON, retention configurable.
Single-use-case pilot to full enterprise deployment.
Fixed project pricing. Compliance review, supervision-integration scoping, and data-residency model all included in the discovery workshop.
| Deployment | Scope | Price |
|---|---|---|
| Servicing voice agent pilot | Single use case (billing or account changes), full recording + archive, compliance review | $12,000–$22,000 |
| Lead-qualification agent | Multi-channel intake, underwriting-rule qualification, producer handoff, CRM writeback | $10,000–$20,000 |
| Document processing agent | Underwriting / policy / KYC document extraction, anomaly flagging, human-in-the-loop approval | $15,000–$35,000 |
| Enterprise compliance-aware deployment | Multi-region, full audit trail, supervision integration, SOC 2 + DPA alignment | $30,000–$70,000 |
| Monthly retainer | Script tuning, compliance updates, regression testing, audit support | $3,000–$10,000/mo |
What compliance, ops, and supervision teams ask on every intro call.
Does the AI comply with FINRA / FCA / DORA requirements?
How do you prevent the AI from giving advice?
Where is the data hosted?
Can we keep the whole stack on our infrastructure?
How does the AI integrate with our supervision workflow?
How long does a compliance-aware deployment take?
Ready to deploy AI that survives an audit?
One 20-minute call. We'll map your regulatory regime, your supervision workflow, your data residency requirements — and tell you whether AI makes sense for your use case under those constraints. If your compliance team isn't ready, we'll say so.