AI Workflow Automation: Take the Busywork Out of Every Team

Every team has work that follows the same steps every day — reading emails and documents, copying data between systems, chasing people, building reports. We automate it with AI where judgment is needed and simple rules where it isn’t, keeping people in charge of approvals and exceptions.

What is AI workflow automation?

AI workflow automation uses AI to handle steps that used to need a person — reading documents, sorting emails, extracting data, drafting replies — and connects them with rules-based automation between your systems. People stay in the loop for approvals and exceptions, and every step is logged.

How we deliver

  1. Step 1

    Process review

    Map the steps, measure time and errors.

  2. Step 2

    Design

    Automation, AI steps and human checkpoints.

  3. Step 3

    Build and test

    In a sandbox with sample data.

  4. Step 4

    Run and improve

    Monitoring, error alerts and a monthly care plan.

Tools we use

  • n8n
  • Make
  • Zapier
  • Microsoft Power Automate
  • Custom Python and Node.js
  • Document-AI and OCR services

AI models from OpenAI, Anthropic, Google, Microsoft Azure, chosen per task for accuracy, cost and data location.

Finance automation note

E-invoicing is spreading across Europe (for example, B2B e-invoicing has been mandatory in Belgium since 1 January 2026). We build invoice workflows that fit structured e-invoice formats and your approval rules.

Pricing

Projects

from $2,500

Care plans

from $400 /month

See full pricing · How the 30-day pilot works

Questions

Which tools do you use?

Whatever fits your systems and budget — n8n, Make, Zapier or Power Automate for connections, plus AI models for reading and writing. We document everything and build in your accounts, so you own it.

Do we need to change our systems?

Usually not. We connect to the tools you already use through their APIs. If a system has no API, we look at email-based or file-based options and tell you the trade-offs.

How do you stop AI mistakes in automated workflows?

Validation rules, confidence thresholds and human review queues. If the AI isn’t sure — or the value is above a limit you set — the item goes to a person. Every step is logged so errors can be traced and fixed.

Who owns the automations?

You do. They run in your accounts where possible, with documentation and handover notes, and you can cancel the care plan at any time.

Related: Custom AI Agents · AI Knowledge Assistants