AI Automation
Automate the busywork. Keep the judgement.
We design AI agents and automated workflows that read documents, answer requests and move data between your systems — with people in the loop wherever it matters.
Hours back every week
Repetitive tasks handled automatically, reviewed by your team.
How it works
From inbox to ERP — automatically.
Every document or request follows the same reliable path. Confident results flow straight into your systems; anything unusual goes to a person, with full context.
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Capture
Documents and requests arrive by email, web form or API.
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Understand
AI extracts, classifies and checks every field against your rules.
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Act or escalate
Confident results sync automatically; edge cases go to a person.
Tools & technologies
What we build with.
- OpenAI
- Claude
- Azure OpenAI
- LangChain
- Python
- Node.js
- Make
- Zapier
- PostgreSQL
Case study
Automating invoice processing for a regional logistics company
A manual, spreadsheet-driven workflow replaced with an AI document pipeline integrated directly into the client's ERP.
−80%
Processing time
3 wks
To first release
How we work
A clear path from
idea to production.
No black boxes. You see progress every week and know exactly what you're paying for.
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01
Discover
Week 1–2 -
02
Design
Week 2–3 -
03
Build
Week 4–12 -
04
Run
Ongoing
Common use cases
Where AI Automation pays off first.
A few of the projects clients bring to us most often. Yours doesn't have to be on the list.
- Invoice and purchase-order processing into your ERP
- Customer support triage and suggested replies
- Lead qualification and CRM enrichment
- Internal knowledge assistant for policies and procedures
- Contract and document review summaries
- Automated reporting from multiple systems
Is our data safe when using AI models?
Yes. We use enterprise APIs that don't train on your data, keep sensitive data in your own cloud where needed, and add access controls and logging.
Do we need to replace our current tools?
No. Automations connect to the tools you already use — CRM, email, ERP, spreadsheets — through their APIs.
What if the AI gets something wrong?
We design review steps for anything high-stakes, add validation rules and monitor accuracy so issues are caught early.