Analyse
Muster, Abweichungen und Handlungsfelder in ihrem Prozesskontext erkennen.
AI in operations
AI assists. People decide.
AI becomes valuable once it understands the data, the process and who is accountable – embedded, traceable and under control.
Corelane puts AI where the work actually happens. It condenses information and prepares decisions without obscuring who is accountable.
Vorbereitung
Relevante Informationen passend zur Aufgabe verdichten.
Datenqualität
Stammdaten strukturiert ergänzen, prüfen und verbessern.
Nachverfolgung
Ergebnisse geordnet zurück in den operativen Ablauf führen.
Productive today
Not pilots. Part of the process.
These AI building blocks run in daily operations – embedded in ERP processes, with human approval and a complete audit trail.
AI order intake
Purchase orders arriving as PDF or email become structured draft sales orders – in 18 languages.
Order-confirmation reconciliation
Supplier confirmations are compared against the order: dates, prices and article numbers. Deviations are flagged, never silently applied.
AI invoice control
Incoming invoices are checked against orders and goods receipts before anyone approves a payment.
Email triage
Incoming mail is classified and routed to the right lead, ticket or task – with the full context attached.
AI reply drafts
Responses are prepared in the right business context. People review, adjust and send.
Company knowledge
The answer is already in the house.
It sits in PDFs, spreadsheets, drawings, database rows and ticket histories – across several systems and file formats. Full-text search finds the file. It does not find the answer. That is why "we documented that" and "nobody can find it" are true at the same time.
What a knowledge server changes
A knowledge server is one governed way in to all of it – not a chatbot bolted onto a folder. People and agents ask in a sentence. The server decides per user what may be seen, retrieves from your own sources and puts the source next to the answer.
Documents & correspondence
Quotations, orders, supplier mail, internal standards and manuals. Asked in a sentence, answered with the passage it came from.
Spreadsheets & tables
Price lists, condition matrices, planning sheets. The row that matters, instead of the file it is buried in.
Database records
Live from the ERP: customers, orders, stock, history. Current at the moment of the question, not a nightly copy.
Drawings & 3D models
CAD and STEP files become findable by what they are, not by what someone once named the file.
Images & product media
Photography, labels and scanned datasheets, retrievable by what is in them.
Support history
What was already asked, answered and solved. The second customer with the same problem gets the first customer's answer.
Permissions are inherited, not reinvented
The server answers inside the rights the person already has. Nobody sees more through the assistant than in the system itself.
Every answer carries its source
A statement you cannot check is worth nothing in a business decision. Answers name the document, the record or the row they came from.
Your knowledge is not training data
Only the excerpt relevant to the task travels to the model, through the governed channel. API data is not used for training.
No source, no answer
Where the knowledge is not there, the honest answer is that it is not there. That is a design decision, not a shortcoming.
Six retrieval services run in STASTO production today – over documents and correspondence, product data, images, 3D models, support history and web analytics – plus the company knowledge chat inside Odoo.
The control plane
One cockpit. Every agent under control.
The Corelane AI Cockpit is the control plane for all AI on the platform: every agent, team and workflow is operated, approved and accounted for in one place.
Agents & workflows
From email triage to document capture: every AI workflow runs as a managed agent with schedule and health check.
Human approvals
Suggestions with business impact wait in the approval queue – people release them, not models.
Costs & budgets
Every model call is metered: costs per agent, per workflow and per day – with hard budget limits.
Audit trail
Every action, decision and configuration change is logged and traceable.
Models & resources
Language models, MCP servers, skills and secrets are managed centrally – swappable without code changes.
Monitoring & self-healing
A daily error review analyses failures and automatically heals known patterns.
In daily production today – and becoming the AI cockpit of the Corelane platform.
External AI models
External models. Under control.
Corelane uses leading language models such as Anthropic Claude or OpenAI – through one governed channel instead of browser tabs. The data truth stays in the house.
One governed channel
Every model call runs through the platform: prompts are built by code, metered and logged – instead of customer data ending up in private chat windows.
The data stays home
The model is a language processor, not a data store: only the task-relevant excerpt travels, knowledge comes from your own sources via retrieval – API data is not used for training.
Swappable down to local
The model is configuration per workflow: leading providers, European alternatives or local models – sensitive workflows can run EU-only or on premise.
Contractually secured
API use with data processing agreements, standard contractual clauses and zero-retention options – plus budgets and a complete audit trail for every call.
The alternative to governed AI is not "no AI" – it is shadow AI. Corelane replaces it with one controlled channel.
Next step