Factorial Growth AI Business

Find what's broken. Build the agents that fix it.

We find the problems slowing your company down and build AI agent systems that deliver results, at a cost you control.

YouSet goals, approve key calls
AI Department LeadPlans and assignsOpus
Research SupervisorReviewsOpus
ResearcherRunningSonnet
Ops SupervisorReviewsOpus
Data CleanerRunningOpen model
Outreach SupervisorReviewsOpus
WriterRunningSonnet
An agent team: clear roles, supervised work, people where it matters.

Most AI projects stall at the chatbot.

Companies buy tools and run pilots, but nothing changes in the department. What works is a team of agents with a job to do, someone checking the work, and the right model for each task.

Typical AI pilots

  • One chatbot or prompt per person, with no shared process
  • No one reviews the output, so people redo the work
  • The most expensive model runs every task
  • Disconnected from the CRM, inbox or ERP

An agent system

  • Agents with defined roles and reporting lines like a real department
  • Supervisor agents review every deliverable before it reaches you
  • Powerful models decide, efficient models execute so costs stay low
  • Connected to the tools your team already uses

How we work

From the problem to an agent team running in production, in four steps.

Step 1

Diagnose

We sit with the department and find where time, money or quality is being lost.

You get a prioritized list of problems worth solving.
Step 2

Design

We draw the agent org chart: who leads, who supervises, who executes and where a person decides.

You get the blueprint and the expected running cost.
Step 3

Build

We build the agents and connect them to your CRM, inbox, ticketing or ERP.

You get a working team, tested on real cases.
Step 4

Run and optimize

We measure results and cost, and move work to cheaper models wherever quality holds.

You get a monthly report on results and spend.

Results first. Then we cut the cost.

Not every task needs the most expensive model. We give judgment to the models that need it and volume to the ones that are cheap to run, so the system pays for itself.

Leads
Claude Opus

Plans, assigns and decides. Few calls, each one matters.

Supervises
Claude Opus

Reviews the work before it reaches your team.

Executes
Claude Sonnet or open models

Research, writing, data cleanup: high volume at low cost.

Built around your company, not off the shelf.

Prebuilt agent packs leave the setup to you. We design for your problem and stay until it works.

Designed for your problem

Every team starts from a diagnosis of your department, not from a template.

Connected to your tools

Agents work inside the systems your people already use.

People stay in control

We decide with you where a person approves: prices, refunds, anything sensitive.

You own the system

Agents, instructions and workflows are yours. No black box.

See your agent team before you commit.

Describe a problem in your department and get the org chart of agents that would solve it. Free, in under a minute.