Process automation
AI process automation for SMBs
Recurring workflows shouldn't need a person copying data between windows. We automate them end-to-end — reliably, auditable and integrated with the systems you already run.
The quiet cost of manual workflows
In most small and mid-sized businesses, the expensive problems are not dramatic — they are routine. An inbox that someone sorts every morning. Quotes assembled by copying prices from one system into another. Weekly reports built by hand from three exports. None of these tasks is hard; together they consume days of skilled time every month and produce the typos and delays that customers actually notice.
AI process automation for SMBs means taking exactly these workflows and letting software carry them: not a rigid macro that breaks when an email is worded differently, but a system that understands documents and messages, applies your business rules and hands clean results to the systems your team already uses.
What we typically automate
- Inbound email triage: incoming requests are classified, enriched with customer context and routed to the right person — with a draft reply already prepared.
- Quote and order preparation: requests are turned into structured quotes or orders, with prices, availability and terms pulled from your systems.
- Document workflows: invoices, delivery notes and forms are read, validated and posted automatically — see document AI for the deep dive.
- Reporting: recurring reports assemble themselves from live data and land in the right inbox on schedule, correct every time.
- System handovers: the swivel-chair work between ERP, CRM, time tracking and industry software disappears behind clean interfaces.
How we make automation stick
Plenty of automation projects work in the demo and die in production. The difference is rarely the AI — it is the engineering around it. Our automations are built with three principles:
Exceptions are part of the design
Real processes have edge cases: the supplier who sends photos of invoices, the customer who replies to a three-year-old thread. We map these cases explicitly. Anything the system cannot handle confidently is routed to a person — with full context, so the exception takes seconds instead of minutes.
Humans stay in the loop where it matters
Automation should remove drudgery, not judgement. Steps with financial or legal consequences get review checkpoints: the system prepares, a person approves. Over time, as confidence grows, you decide which checkpoints to relax — not the other way round.
Everything is auditable
Every automated action is logged: what was read, what was decided, what was written where. If a question comes up three months later — from a customer, an accountant or an auditor — the answer is one search away.
Built for your stack, not beside it
An automation that requires your team to adopt a new tool has already failed. We integrate with what you run today: your ERP, your mail server, your time tracking, your industry software. Where modern APIs exist we use them; where they don't, we build robust bridges. Your team keeps their familiar tools — the tools just stop demanding repetitive work.
GDPR-compliant by architecture
Automated processing of business mail and documents touches personal data, so privacy is part of the design brief: data minimisation, EU data residency on request, data processing agreements and processing logs that satisfy your privacy officer, not just your curiosity. As a German studio, we build this in from the first line of code.
The workflow worth automating first depends on where the volume is: tenant mail in property management, dispatch updates in logistics, guest requests in hospitality. Typical patterns per sector are collected on the industries page. Where the bottleneck is paperwork rather than coordination, document AI is usually the better first step.
Where to start
The best first automation is narrow, frequent and annoying: a workflow that runs daily, follows rules your team can describe, and that nobody enjoys. In a free consultation, we'll identify that workflow, sketch how an automated version would run, and — if it makes sense — put a binding fixed price on it. You know the cost and the payback horizon before you commit a cent.
Frequently asked questions
What kinds of workflows are worth automating first?
The best first automation is narrow, frequent and annoying: a workflow that runs daily, follows rules your team can describe, and that nobody enjoys — inbound email triage, quote preparation or recurring reporting are common examples. In a free consultation we identify that workflow and, if it makes sense, put a binding fixed price on it.
How is this different from a rigid macro or a simple rule engine?
A macro breaks the moment an email is worded differently. Our automations understand documents and messages, apply your business rules and handle the edge cases explicitly — the malformed invoice, the reply to a three-year-old thread. Anything the system cannot handle confidently is routed to a person with full context, so exceptions take seconds.
Will automated steps make decisions without human oversight?
Only where you want them to. Automation removes drudgery, not judgement: steps with financial or legal consequences get review checkpoints where the system prepares and a person approves. As confidence grows, you decide which checkpoints to relax — never the other way round.
Does it integrate with the systems we already use?
Yes — an automation that forces your team onto a new tool has already failed. We integrate with your ERP, mail server, time tracking and industry software, using modern APIs where they exist and building robust bridges where they do not. Your team keeps their familiar tools; the tools just stop demanding repetitive work.
How do you keep automated processing GDPR-compliant?
Privacy is part of the design brief. Automated processing of business mail and documents uses data minimisation, EU data residency on request, data processing agreements and processing logs that satisfy your privacy officer. As a German studio, we build this in from the first line of code.
Which workflow costs your team the most time?
Tell us about it in a free intro call — we'll tell you honestly whether automation pays off, and what it would cost at a fixed price.