We integrate AI into the systems your business runs on.
AI agents that read documents, draft replies, and keep your product data clean, built into the PIM, CRM, ERP, and other systems your business already runs.
Built into the systems you already run.
Four kinds of work, usually two or three at once. We scope it, build it, and hand it over running.
- 01 · Where we go deepest
AI Integration
Production AI inside the systems your business runs.
- Retrieval (RAG) systems built on your own data
- LLM-based agents and internal copilots
- Conversational interfaces and AI-driven automation
- Architecture, build, and production deployment
- 02
MDM / PIM Systems
Reliable product and master data, across every channel.
- PIM platform selection and rollout
- Legacy-database to modern-PIM migration with normalization
- Master-data modeling for products, vehicles, and complex attribute graphs
- InDesign and media-production exports from PIM data
- 03
Business Automation
Manual handoffs out of your team's day.
- Workflow automation across the tools you already use
- Internal process automation for ops, marketing, and customer ops
- API integrations between business systems
- Monitoring that surfaces breakage before users notice
- 04
CRM / ERP Integration
Clean data flowing between the systems that run your business.
- HubSpot integrations: CRM data flows, webshop to HubSpot
- WooCommerce to Billbee product and order sync
- ERP and order-management connectors with reliable failure modes
- Authoritative-system design: where data lives, how it syncs
Recent posts.
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Structured intake is the first automation step
The highest-leverage automation move is not a new platform. It is making one recurring workflow start with structured intake instead of email, chat, phone notes, or spreadsheets.
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AI integration for German SMBs: what's actually different in 2026
The Mittelstand has stopped asking whether AI matters. The real question now is what 'AI integration' means in practice, and where it goes wrong. A working view from the inside of these projects.
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What MDM/PIM actually solves (and what it doesn't)
Master Data Management and Product Information Management get conflated, oversold, and confused with adjacent systems. A practical reading of what they are, what they're not, and when an SMB actually needs one.
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Migrating product data from a legacy database to a modern PIM: a checklist
The data layer is where most PIM rollouts get hard. A practical, opinionated checklist for surviving it, from the inventory phase to post-cutover validation.
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The hidden cost of CRM/ERP integrations that 'just need a button'
Every CRM/ERP integration starts with a sentence that contains the word 'just'. A working tour of what 'just a button' actually contains, and how to estimate these projects honestly.
Have something in mind?
Send a short email describing the problem and what success looks like. We read every one and reply within a few days, even if it's not a fit.