Business process automation.
Every business runs on invisible manual work: copying data between systems, chasing approvals, assembling the same weekly report. We engineer that work away with integrations, workflow systems, and AI agents - so headcount goes to judgment, not clerical repetition.
The Problem
The work is death by a thousand cuts: 20 minutes here re-keying an invoice, an hour there building the Monday report. It never justifies a big software project individually, so it compounds for years. Meanwhile "no-code" automations pile up into a fragile tangle nobody dares touch.
Our Approach
We audit where hours actually go, then engineer durable automations: proper API integrations over screen-scraping, idempotent workflows that survive retries, logging you can audit, and AI agents for the steps that need reading and judgment. Built as maintained software, not a Zapier junk drawer.
What we build.
System integrations
Your tools talking to each other properly - accounting, CRM, inventory, messaging.
Workflow automation
Approval chains, document generation, and scheduled jobs with full audit trails.
AI-powered steps
Agents that read documents, draft responses, and classify work - with human sign-off gates.
Automated reporting
The reports leadership reads, generated and delivered without anyone assembling them.
Legacy bridges
Automation around systems that cannot change - including the ones with no API.
Technology
Proof, not promises.
Common questions.
How do you decide what to automate first?
We audit where hours actually go and rank by (time saved × error cost) ÷ build effort. The first automation ships within weeks and pays for the audit; the roadmap orders the rest.
What is the difference between this and hiring a Zapier consultant?
No-code tools are fine for simple triggers. We build automation as software: version-controlled, tested, logged, and able to handle logic no-code cannot - which is what keeps working two years later.
Where does AI fit into automation?
AI handles steps that need reading and judgment - parsing messy invoices, drafting replies, routing requests. We built MAK OS, an agent pipeline that automated an entire outreach operation from 20 manual hours a week to near zero.