FlatClaw, Private AI Platform
All use case spotlights
Operations AutomationProfessional Services

Corporate back office

≈ $350M revenue (approx.) · PE-owned · six operating companies · a 12-person corporate team

Shared skills and brand assets portal

Invoice coding, on-brand presentations and monthly reports from one shared portal where the logic and the assets live in one place, instead of in each person's chat window.

Organization
Corporate back office of a private-equity-owned group
Reality
Small team, many recurring tasks, everyone using a different chat tool
Runs on
The group's cloud tenancy
Scope
Shared skills and brand assets in one portal
The situation

Where they started.

People were already using chat assistants for invoice coding, presentations and reports, and getting different answers, in different formats, from the same prompt. Skills could not be shared between individual accounts, brand guidelines were reapplied by hand every time, and the private inference bill would have grown with every seat.

What FlatClaw does

What was built.

  • An administrator publishes shared skills once: invoice coding rules, the monthly report, the presentation template.
  • The brand kit and data connections live in one place and every user's agent calls the same tools, so the output is the same for everyone.
  • Role-based access keeps finance tools with finance and marketing assets with marketing.
  • Flat-rate private inference: adding a user adds no per-seat model cost.
Results

What changed.

  • One report, one format, produced the same way by everyone.
  • Invoice coding that follows the rules every month instead of most months.
  • Presentations that come out on brand without a second pass.
  • The 'everyone has their own assistant' bill replaced by one tenancy.
Why private

Invoices, board materials and internal reports are exactly the documents a company does not want in a vendor's training set. Shared skills only work well when everyone can use them on the real data.

Runs on

The group's cloud tenancy

The stack

Components involved.

FlatClaw Portal with shared skillsBrand asset libraryFinance and document connectorsRole-based accessPrivate inference on a dedicated GPU
Your workflow

Have one like it?

Every spotlight started as a conversation about a process nobody liked doing, under a data-locality constraint.