Operations, automation and AI
We fix the work that slips, and prove the fix holds.
Barlovento Labs brings the discipline of R&D in regulated industries to everyday operations. We find where requests, handoffs and follow-ups fall through, test the smallest fix on real work, then build it with the AI and automation we use in our own products.
Opens your email with three short prompts.
Change record · example
- Workflow
- New enquiry to first appointment
- Observed
- Enquiries wait in a shared inbox with no owner
- Change
- Rules assign an owner; AI drafts the reply; a person approves it
- Tested
- Run by hand on live enquiries before any build
- Accept when
- Every enquiry has a named owner the same day
Illustrative format, not a client record.
Products we built and run
01Why Barlovento
Rigour, operating sense and the hands to build it.
Operational fixes usually fail in one of three places: nobody checked the assumption, nobody designed for a busy day, or the people who scoped it never built it. We work on all three.
From R&D in regulated industries
Evidence before build
Assumptions are tested, decisions are written down and acceptance criteria are agreed before anything is built. You can always see why a change was made and how it was checked.
From building and running products
Designed for a real operating day
We operate our own software with real users. That keeps the work focused on what survives a busy day and on the people who use it, not on what looks good in a demo.
From hands-on AI and automation work
Predictable where it matters
Rules handle the repeatable steps. AI handles ambiguity where a person can review it. We build it ourselves, inside the tools your team already uses.
02Proof
Two products you can open today.
We designed, built and operate both. They are the clearest evidence of how we work, so look at them before you talk to us.
InertiaOS
inertiaos.app
Gym operations software that spots changes in member attendance and prepares WhatsApp follow-up, with frequency caps and quiet hours built in.
Signals drawn from attendance data, and outreach a person approves by default.
Open InertiaOSSwellChaser
swellchaser.surf
A surf journal that turns session data into a story worth keeping and a coaching note for the next time you paddle out.
Raw data turned into a clear record and a next step.
Open SwellChaser
Client work and internal automation stay confidential. We can talk about the type of work on a call; we do not publish names or results.
03How we work
One workflow at a time. Each step earns the next.
You can stop after any step and keep what it produced.
Map
We watch how the work happens and mark where it slips, separating what we observed from what we assumed.
You get A workflow map, a baseline and a ranked list of fixes.
Prove
We run the smallest useful fix by hand or as a small pilot, against success criteria agreed in advance.
You get The result against those criteria, and a clear go or no-go.
Build
We build what fits: a process change, an automation, an AI-assisted step or software.
You get A working change with acceptance criteria and a change record.
Adopt
We fit it into the tools your team already uses, hand it over and check what changed downstream.
You get A named owner, handover notes and a follow-up check.
Not sure where AI fits? Start with the map. It shows where automation helps and where people should stay in charge.
04Questions
Before you write
Do I need to know what the solution is?
No. Bring one workflow that keeps slipping. The first step is to see what is actually happening before choosing a fix.
What kinds of businesses do you work with?
Businesses where work passes between people and tools: health, fitness, professional services, commerce and others. The shape of the problem matters more than the industry.
Will you push AI into everything?
No. Many fixes are a clearer owner or a simpler rule. We use AI where it handles ambiguity better than a rule and a person can check the result.
What happens after I email?
We read the workflow you describe and reply with a practical first step, or tell you plainly if we are not the right fit.
05Start here
Send us one workflow that keeps slipping.
Three lines are enough. We reply with a first step, or tell you plainly if we are not the right fit.
- What the work is
- Where it gets stuck
- Who it affects
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