How do you keep it away from regulated advice?

The agent is scoped to process and administration and refuses anything that requires a recommendation, transferring instead. Refusal boundaries are tested explicitly during build, and every call is transcribed and retained for compliance review.

Can it discuss account balances?

Only after identity verification meeting your existing standard, and only for the data categories you approve. Where your policy requires a human for account detail, the agent verifies and transfers rather than disclosing.

Will callers know they are talking to an AI?

The agent identifies itself as a virtual assistant at the start of the call — that is both the honest approach and, in several jurisdictions, the legally required one. In practice callers keep talking because the conversation moves faster than a hold queue.

What happens when the agent cannot handle a call?

You define the escalation rules. The agent can warm-transfer to a person, take a detailed message and flag it as urgent, or send an immediate SMS to whoever is on call. It never guesses at something it was not given an answer for.

Voice AI Agents · Financial Services

Voice AI Agents for Financial Services

Client calls need answering without exposing anything sensitive.

Financial services phone volume is dominated by scheduling, document chasing, and status questions — none of which require an adviser, all of which require care about what gets disclosed. A voice AI agent handles that layer with verification before disclosure and a hard boundary around anything resembling advice.

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Call coverage: 24/7Call coverage
Missed leads: 0Missed leads
Response latency: <1sResponse latency

Typical stack

Vapi
Twilio
OpenAI Realtime
ElevenLabs
CRM Sync

Use cases

What this handles for financial services firms

Book and reschedule adviser appointments against live availability
Chase outstanding onboarding and KYC documents with automated follow-up calls
Answer process questions about timelines, requirements, and next steps
Verify identity and route regulated conversations directly to a qualified adviser

Advisers stop losing hours to scheduling and document chasing, with every disclosure logged and rule-bound.

Context

The financial services problem underneath it

Financial services work is document-heavy, deadline-driven, and unforgiving of errors — which is exactly the profile automation suits, provided everything it does is logged and reversible. We build systems where every extraction, calculation, and posting leaves an inspectable trail.

Statements, invoices, and receipts arrive in every format and get keyed by hand
Reconciliation is monotonous, high-volume, and expensive when it goes wrong
Client onboarding and KYC involve chasing documents for weeks
Reporting packs are assembled manually against a hard deadline every period

What we build

Inside a voice AI agent

We start from your actual call patterns: what people ring about, which questions decide whether a caller is worth a slot, and what has to happen after the call ends. That becomes a scripted-but-natural conversation flow with explicit escalation rules, tested against recordings of real calls before it ever answers a live line.

Natural-sounding inbound agent with sub-second response latency and barge-in support
Qualification flows that branch on caller intent instead of reading a fixed script
Live calendar booking with availability checks, confirmations, and reminders
Warm transfer and escalation rules for urgent or high-value callers
Automatic CRM records with full transcript, summary, and structured field capture
Outbound follow-up calls for missed leads, no-shows, and reactivation lists

Deliverables

What ships with the engagement

Provisioned phone number or SIP forwarding from your existing line
Conversation design document covering every branch and escalation path
CRM and calendar integration with field-level mapping
Call transcript dashboard with searchable history
Two tuning rounds against real production call recordings

FAQ