For ops-heavy teams

Know where AI agents fit before you build.

Give us one messy workflow. We show you where work gets stuck, where AI agents can help, and what to build first.

One workflow first·No big commitment up front·You get a plan and a prototype
Imaginary Space
Teaching operators live

Built from real work, not AI demos

Customer data toolsOperations toolsInternal team toolsLaunch rescue

Your team isn't slow. Work keeps falling through the cracks.

It gets lost between Slack, spreadsheets, email, and meetings. People redo the same steps every week. Key details live in one person's head. Leadership wants AI, but no one knows where it should go.

Work gets copied between tools by hand
People depend on remembering things
Reports take too long, and follow-ups get lost in chat
AI tests never turn into something the team really uses

This gets worse every week.

Lost time

The same manual work comes back again and again.

Lost details

Decisions disappear into chats and meetings.

Lost follow-up

Someone always has to remember the next step.

Slow decisions

Leaders wait because the system is unclear.

Most AI fails because it starts with the tool, not the work.

A chatbot won't fix a messy process. An AI agent only helps when it has the right job to do, the right data, clear limits, and a person checking it.

AI for show
A random chatbot
No map of the work
No plan for the data
No one owns it after launch
AI that works
A clear process
Data it can trust
A person checking the work
A plan for what to build
The offer

Start with the AI Consultation.

One short working session that turns one messy workflow into a clear plan to build. Here is the road we take you down.

Steps 1 to 5 happen in the consultation. Step 6 is the build, if the plan makes sense.

1

You bring one messy workflow

Pick one process that wastes time. That is all we need to start.

2

We follow the work

We watch how the work really moves and find where it slows down, gets lost, or gets redone.

3

We pick where AI helps

We choose the one to three spots where an AI agent actually saves time.

4

You get a clickable prototype

Something real your team and your boss can click and react to.

5

You get a build plan

What to build first, what to skip, and what it should cost.

6
The build

We build the system

We build the tools and agents your team uses every day.

Proof you can see, not just claims.

Dude Wipes
CPG brand

Dude Wipes

For a fast-moving CPG brand, we turned scattered marketing, content, and ops work into one set of internal tools and dashboards.

53 Stations
VC / fund platform

53 Stations

For a fund platform team, we built the internal layer for portfolio reporting, investor updates, and fund data.

Landible
Real estate

Landible

For a real estate team, we turned parcel, cost, and budget logic into one internal decision tool.

Real client work. We confirm with each client before showing logos publicly.

For serious teams with real work to fix.

A good fit
One process that wastes real time
Too many tools and manual steps
Someone inside who can help map it
Budget to build if the plan makes sense
Not a fit
Early idea with no budget
Just want the cheapest quick build
Want a demo, not something you'll really use
Call every new request a bug

A team that ships, not a random dev shop.

Harry Roper

Harry Roper

Founder & CEO

Franco Albarracin

Franco Albarracin

Co-Founder & CTO

Carlos Gutierrez

Carlos Gutierrez

Growth Lead

Francisco Diaz

Francisco Diaz

Developer

Verity Formentera

Verity Formentera

US Operations

Where do AI agents fit in your business?

Bring one messy workflow. We'll show you where work gets stuck, where agents help, and what to build first.

Best fit for VC, PE, finance, CPG, and ops-heavy teams.

1 Which process wastes the most time?
2 Where does work get stuck?
3 What tools and data are involved?
4 What happens when it breaks?
5 Is there budget to build if the plan is clear?

Prefer a new tab? Open the calendar

Questions teams ask first.

Is this a sales call?+

No. It is a working session. We map one process and give you a clear plan, a use case, and a next step.

Do we need clean data first?+

No. Finding what data you have, what is missing, and what to fix is part of the work.

Do you build, or just advise?+

We build the tools, agents, and dashboards after the plan.

What if we're not ready to build?+

You still leave with a clear map, the risks, and your next steps.

Stop guessing where AI should go.

Map the work. Fix what is stuck. Build the system.