Loop

Boring work should run itself

Company Brain
Publishing
Bookings
Customer Service
Rental Admin
Social Posts

The work is important. not Manual effort

Businesses depend on boring, yet important recurring tasks. They get done, over and over, by people who should be spending that time on the work that actually drives them.

Show us the repeat work See our work

Acrein Loop makes those tasks run faster sharper & more reliably with better output every time.

Delivered

Prospecting Built and deployed at a B2B SaaS company Content Publishing Built and deployed at a private investment firm Missing Contacts Delivered to a live software sales workflow Create Social Posts Built and deployed at a private investment firm Photographer Back Office Built and delivered to a freelance photographer Rental Property Admin Built and deployed for a private property portfolio Booking Ops Running at a multi-simulator experience provider Find New Companies Running in a B2B SaaS sales workflow

TaskGraveyard

A running graveyard of small repeat jobs that no longer need a person to chase them.

26 tasks buried
Add a boring task
Building a target list
Checking duplicate leads
Finding the right contact
Filling missing emails
Watching lookup credits
Choosing fields to enrich
Fixing blank phone numbers
Choosing article topics
Checking search intent
Filling SEO fields
Checking broken links
Turning one article into five social captions
Checking post length
Finding calendar slots
Scheduling social posts
Sending confirmation emails
Tracking unpaid bookings
Updating leaderboards
Sending quote emails
Matching quotes to bookings
Chasing unpaid invoices
Finding client details
Logging monthly rent
Updating lease dates
Recording repair costs
Checking rent payments

How we build

Architecture first. Code first. AI only when the job is narrow enough to control.

Architecture First

System design comes before scripts, APIs, and automation.

Deterministic Code

This is the main layer: scripts, APIs, rules, checks, and outputs.

Orchestrated Loops

A leader built in code. It routes each step, fires the triggers, recovers from failures, and holds state from start to finish.

Surgical LLMs

We aim AI at what deterministic code can't do. LLMs help with narrow tasks under strict guardrails.

Fail-Safe Logic

Inputs, outputs, errors, and edge cases are validated before the loop moves on.

Questions

Short answers before you hand over the repeat work.

Can I just use AI to do this myself?
You can open a chatbot and prompt it. But when you're prompting, correcting, and re-prompting, you're working for it as much as it's working for you. You've become the system: the memory between steps, the checks, the one catching its mistakes. That's fine for a one-off. It falls apart on work that has to run again tomorrow, and the day after. We build the loop so code does that job, not you. The work runs on its own, every time, instead of only while you're sitting there babysitting it.
How is this different from Zapier, Make, or n8n?
Zapier, Make, and n8n are boxes of triggers you wire together in yet another dashboard. Another login, another subscription, another screen to babysit. That's the old way of working, and we don't add to the pile. We build the system itself: a leader written in code that routes every step, holds state from start to finish, recovers when things break, and validates every input and output. No dashboard to log into, no one sitting there driving it. Just systems working in harmony, getting the work done.
Do we have to stop using the tools we already use?
No. We scope the tools you already work in and build around them where it makes sense. The difference is the manual part: where you used to spend hours in a tool to get a task done, it now just happens, without you driving it by hand. And if a better setup would genuinely serve you, we'll tell you and recommend it.
How fast can you build it, and what does it cost?
It depends on the job. A single task workflow can ship in a few days and stays under €5,000, small businesses included. We've built these before, so we move fast. A full department like sales or marketing, or the central nervous system of a company, is a bigger job: many tasks that have to talk to each other and orchestrate. A build like that takes three to six weeks, and while the price depends on scope, no one's selling a kidney for it.
How do you keep it reliable?
Every input, output, error, and edge case is checked before the loop moves on. The leader recovers from failures and holds state. We test on synthetic data and ugly edge cases until it holds, then we watch it run and sharpen it over time.
More questions

Take the step

The boring work still matters and still has to be done well. We take care of that, so you can focus on what you actually want to do.

  1. Scope

    We map the boring task and how it runs today.

  2. Build

    Where the principles above turn into one working loop.

  3. Test

    We run it on synthetic data and ugly edge cases until it holds.

  4. Deliver

    We hand over a finished system, live and ready to run.

  5. Evolve

    We watch it run and sharpen it over time.