FlatClaw, Private AI Platform
All use case spotlights
Voice AgentsOperations AutomationFinancial Services

Regulated outbound contact center

≈ $40M revenue (approx.) · ~250 agents · three sites

Compliant voicemail lane beside the existing dialer

A voicemail lane leaves a message specific to each account, in a consented agent voice, at a volume no floor can match, and shares one attempt ledger with the dialer so contact limits stay enforced in one place.

Organization
Regulated outbound contact center
Reality
Most of an agent's day is answering machines
Runs on
The organization's own hardware
Scope
A compliant voicemail lane beside the existing dialer
The situation

Where they started.

Agents on a regulated outbound floor spend most of the day leaving voicemails. A person leaves a hundred rushed, identical messages; a robocall leaves a voice nobody returns. Hosted virtual-agent products would not share the organization's own contact limits, and the conversations are regulated, so the audio could not leave the building.

What FlatClaw does

What was built.

  • An open-weight speech model on the organization's own GPU speaks in consented agent voices, licensed in writing per team.
  • Every message is specific to the account and follows the limited-content format the rules define, with the right callback line.
  • Attempts feed the dialer's daily file, so contact caps are enforced in one place, and a return call reaches the team that left the message.
  • The lane runs beside the existing dialer through its supported file and transfer surfaces; agents keep their tools.
Results

What changed.

  • Personal outreach at machine scale, inside the organization's own contact limits.
  • One attempt ledger shared with the dialer instead of a second system to reconcile.
  • No per-minute vendor bill, and the voices remain the organization's own assets.
  • The same voice stack carries the organization's other phone workflows.
Why private

The conversations are regulated and sensitive. Keeping the voice loop and the transcripts inside the building keeps the organization's certifications intact.

Runs on

On-premise hardware

The stack

Components involved.

Open-weight speech synthesisStreaming speech recognitionDialer file and transfer integrationAttempt ledgerPrivate inference on on-prem GPUs
Your workflow

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