FlatClaw, Private AI Platform
All use case spotlights
Operations AutomationSales & MarketingSoftware / TechnologyProfessional Services

Technology consultancy

≈ $8M revenue (approx.) · Boutique consultancy · ~25 consultants

Content production agent

Sales decks, one-pagers and campaign copy from a private agent with the brand system loaded, running on the company's own inference, with skills shared across the team rather than pasted between chats.

Organization
Technology consultancy
Reality
Proposals, decks and campaign copy produced daily, to a brand standard
Runs on
The consultancy's own inference
Scope
A content agent with the brand system as a skill
The situation

Where they started.

A consulting team produces proposals, one-pagers and decks constantly, and every one has to pass review on brand and on substance. Prompts and brand rules lived in individual chat histories and were pasted between people, and the results varied with whoever wrote the prompt.

What FlatClaw does

What was built.

  • The house brand system packaged as a skill: colors, typography, logo files and a renderer that turns HTML into branded documents.
  • Shared across the team through the same portal, so a proposal built by anyone comes out in the house style.
  • Research, drafting and rendering as one workflow, on the company's own inference, with client material never leaving it.
  • Skills versioned in a repository so improvements reach everyone at once.
Results

What changed.

  • Proposals and decks that pass first review far more often.
  • New team members productive on the brand in their first week.
  • Client material handled inside the company's own systems.
  • A skills library that compounds instead of a prompt folder that rots.
Why private

Proposals contain client pricing and strategy. Producing them on private inference keeps every draft inside the firm.

Runs on

The consultancy's own inference

The stack

Components involved.

FlatClaw PortalBrand system skill and rendererDocument and research skillsSkills repositoryPrivate inference
Your workflow

Have one like it?

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