Less routine
Recurring input takes care of itself.
03 / 08 — Services
AI Automation
In short
Repetitive work costs time and creates errors. We automate workflows between your systems — classically via API and script, and with AI wherever language, documents or decisions are involved. The result: processes that run reliably and ask a human precisely when something is unclear.
01
How it works.
The typical data flow — from input to result. Every station is replaceable and adapted to your systems.
- 01Inbound (mail/PDF)
- 02AI classifies
- 03Extract data
- 04Check & approve
- 05ERP / CRM
02
What we deliver
Business processes that run themselves — with intelligent assistants and integrations.
- 01Process analysis: where does automation pay off, where not?
- 02Email, ticket and document workflows with AI classification
- 03Integrations between ERP, CRM, shop, accounting and your own tools
- 04Intelligent assistants for sales, purchasing and administration
- 05Web services (REST, SOAP), webhooks and scheduled jobs
- 06Logging, error handling and approval steps
03
A look at the code.
This is what an excerpt from a typical project looks like — readable, commented and without magic. That is exactly how we hand code over to your team.
on("mail.eingang", async (mail) => {
const art = await ki.klassifiziere(mail, ["Bestellung", "Reklamation", "Frage"]);
if (art.sicherheit < 0.85) return aufgabe.an("Innendienst", mail); // Mensch entscheidet
const daten = await ki.extrahiere(mail.anhaenge, BestellSchema);
await erp.auftrag.anlegen(daten);
await crm.notiz(mail.absender, `Auftrag ${daten.nr} automatisch erfasst`);
log.info("automatisiert", { id: mail.id, art: art.name });
});04
What you get out of it.
Fewer errors
Validated against master data before every booking.
Full traceability
Every decision is logged.
Human in the loop
Uncertain cases go straight to the team.
05
Typical scenarios
03.1
Inbox
Incoming mail is read, categorised, linked to customer data and a reply is drafted.
03.2
Order processing
Orders from shop, email and PDF arrive validated and uniform in your ERP.
03.3
Reporting
Weekly reports are generated, annotated and sent automatically.
03.4
Master data
Reconciliation and clean-up across systems before duplicates get expensive.
06
Matching solutions.
S2 
Intelligent inbox
AI classifies incoming items, extracts data, creates records and drafts replies — uncertain cases go to a human.
- Consistent, validated data
- Every decision logged
- Humans stay in control
S5 
Route & shift optimisation
An optimiser based on genetic algorithms that handles time windows, qualifications and capacities at once.
- Plans in minutes
- All rules respected
- Explainable proposals
07
Frequently asked questions
Which processes suit AI automation?
Especially high-volume workflows with unstructured input: emails, documents, forms, requests. Clearly rule-based steps we automate classically; AI is used where text has to be understood or classified.
What happens when the AI is unsure?
We build in confidence thresholds and approval steps. Uncertain cases go to a human, and every decision is logged.
Do we need new software for this?
Usually not. We connect your existing systems through their interfaces and add only what is missing.
More services
01 / 08
AI Agents & RAG
LLM applications that work with your data and complete tasks on their own.
02 / 08
Local AI Models
Language models on your own hardware — data-sovereign, no cloud dependency.
04 / 08
Mobile Apps
Native and cross-platform apps for iOS and Android — from Swift to Flutter.
Ready when you are
Let’s talk.
Describe your project in a few sentences — you’ll get an honest assessment of feasibility, effort and the way forward.
- info@quell-code.com
- Phone
- Call-back on request
- Response time
- usually 2 working days
- Languages
- Deutsch · English · Türkçe