For financial services

Voice AI for finance that keeps caller data in your hands

Phone lines at banks, lenders, and insurers carry conversations your regulators care about. PeachDesk answers those calls on a platform you can self-host, so recordings and transcripts stay inside the institution's environment under its controls, not a vendor's. This page is part of our voice AI solutions overview.

The call workloads PeachDesk handles

In financial services, the phone line carries volume your teams cannot always absorb: balance and account questions, payment chasing, identity checks, and callers who need the right branch. PeachDesk takes on the repetitive, high-volume call flows, described here as call-flow capability, never as financial features:

Financial judgement stays with your staff. The agent answers, reminds, verifies, and routes; it does not advise on products, transactions, or investments.

For the platform side of these workloads, see security and privacy controls, voice AI data residency, and PeachDesk pricing.

The compliance question, answered honestly

Every financial-services buyer asks about compliance, and most vendor pages answer with a badge. Here is the honest version. PeachDesk holds no finance-specific certification, and we will not imply one. If your procurement process requires a named financial regulatory artifact today, we are not the fit today, and we would rather say so than gesture at it.

What PeachDesk does offer is deployment substance, the part that actually decides where caller data sits:

Own your data, stage by stage

The regulated-data story on PeachDesk is precise. Self-hosted stages keep caller data inside the institution's environment. Managed stages send that stage's data to the provider. The telephony carrier always carries the audio. In Local mode, speech-to-text, the language model, and text-to-speech run as a full open-model stack on your own GPUs, so call audio and transcripts need not leave your environment at all. Local mode carries no per-minute provider charge, and you pay for GPU capacity. Frontier mode stays metered for stages where you want leading cloud providers, mixed per pipeline stage per agent.

For an institution, this is the difference between a policy that says caller data is protected and an architecture where the sensitive stages never cross your perimeter in the first place. Self-hosted voice AI walks through the deployment model, and data residency covers where each artefact of a call lives.

The PeachDesk mascot holding keys, representing institutional ownership of caller data

Frequently asked questions

Is PeachDesk certified for financial services?

PeachDesk makes no finance-specific certification claim. What exists today is deployment substance: self-hosting puts inference, models, recordings, and transcripts inside the institution's own environment behind its identity and logging stack. Bibha, the company behind PeachDesk, holds SOC 2 and ISO 27001 at the Bibha AI Trust Center, with ISO/IEC 42001 and EU AI Act readiness in progress.

What financial-services call workloads can PeachDesk handle?

PeachDesk handles high-volume call flows: account query routing that directs callers to the right team, payment reminder calls, verification callbacks that confirm a caller's identity before a handoff, and branch routing that connects callers to the right location. These are call-flow capabilities of the platform, not financial features. The agent answers, converses, reminds, verifies, and routes; it never gives financial advice.

Where do call recordings and transcripts live?

In a self-hosted deployment they live in the institution's environment, in object storage the deployment controls. Access runs through signed, time-limited storage URLs, and retention windows are configurable with automated purge, so recordings and transcripts expire on a schedule you set rather than accumulating forever.

Does caller data have to leave our environment?

Not on the stages you self-host. Self-hosted stages keep caller data inside the institution's environment, managed stages send that stage's data to the provider, and the telephony carrier always carries the audio. In Local mode, speech-to-text, the language model, and text-to-speech run as a full open-model stack on your own GPUs. Local mode carries no per-minute provider charge, and you pay for GPU capacity.

Talk through your call flows and your constraints

Bring your call volumes, your systems, and your compliance questions. An expert will walk through what a self-hosted deployment looks like for your environment, and will be direct about where PeachDesk does not fit today.

Talk to an expert

Tell us about your calls and we will come back with a straight answer on fit, sourcing, and deployment. Your message goes to the team at sales@bibha.ai.

Start free

Tell us where to reach you and what you are building, and we will set up your workspace access. Your message goes to the team at sales@bibha.ai.