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Four ways we connect and automate your stack.

Pipelines, integration, extraction, and monitoring — built on the systems you already run. The whole point: your tools should talk to each other without a person in the middle.

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Automation pipelines

Quiet end-to-end flows for the work that does not need a human until something goes wrong — triggered, transformed, and delivered on schedule.

Event- and schedule-driven workflows
Reminders, escalations, and reporting
Reply triage and routing
Live in 2 to 4 weeks, monitored after launch

Systems integration

The plumbing between your CRM, ERP, helpdesk, and internal apps — so a change in one place shows up everywhere it should.

CRM, ERP, and helpdesk connectors
Two-way data sync, no re-keying
Field mapping and de-duplication
Built on what you run, not a new platform

Document & data extraction

Invoices, RFQs, and contracts read, structured, and pushed into the systems that need them — accurately enough to act on.

Invoice and RFQ extraction
Part-number and line-item decoding
Structured output into your tools
Human-in-the-loop where it matters

Monitoring & handover

Every pipeline ships with eyes on it. You should never learn about a broken integration from a customer.

Alerting on failures and anomalies
A small surface to see what ran
On call for the first month after launch
Optional ongoing support if you want it
Departments we support

Where it shows up.

Sales & marketing

Lead routing, reply triage, RFQ extraction, CRM hygiene.

Operations

System-to-system sync, document extraction, scheduled reporting.

Finance

Invoice extraction, expense pre-categorization, reconciliation hand-offs.

FAQ

Before you get in touch.

What does a typical engagement cost?
Most projects land between three and twelve thousand euros for build, plus a small monthly fee for hosting, monitoring, and minor changes. We give a fixed quote after the first call.
Do you connect to legacy or in-house systems?
Usually, yes. If it has an API, a database, or even a structured export, we can almost always move data in and out of it. We tell you up front if something is genuinely closed.
How do you avoid duplicate or bad data?
We map fields carefully, de-duplicate on stable keys, and validate before writing. Where a record is ambiguous, the pipeline routes it to a human instead of guessing.
What if we change the scope after kickoff?
The first week is intentionally cheap to back out of. After that, scope changes are quoted as small change orders, not billable hours.

Tell us which systems should be talking.

A short note about the hand-off is enough to see where a pipeline fits and how fast it pays back.

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