AI in real workflows
AI that works inside the process
We connect artificial intelligence with existing systems and clearly defined workflows. The result: visually manageable automation that handles tasks, prepares decisions and involves people exactly where needed.
Discover automation potentialBeyond the chatbot
From an event to a reliable result
AI creates business value when it becomes part of an existing process: understanding unstructured content, enriching information and preparing the next step.
The orchestration layer connects applications, data sources, business rules and AI models. Critical actions are executed only after defined checks or human approval.
Traceable
Every step and every result remains visible and reviewable.
Cross-system
ERP, email, documents, databases and APIs work together.
Visually manageable
Flows, conditions and exception paths are modelled clearly.
Controlled
Rules and approvals limit what AI is allowed to execute.
Use cases
Where AI process automation delivers value
Process documents
Capture, classify and validate invoices, purchase orders and contracts against master data.
Route email
Understand, prioritize and assign requests while preparing suitable replies or tasks.
Review transactions
Assess quotations, orders or records using defined rules and available business data.
Enrich data
Research and structure missing information before returning it to systems of record.
Support service teams
Combine knowledge, customer data and case history to suggest appropriate next steps.
Prepare decisions
Summarize facts, assess options and create structured decision briefs.
Modular architecture
AI is one component, not the entire process
A visual orchestration layer ensures that systems, rules, AI and people work together reliably.
Models and providers remain replaceable while existing systems retain their roles and data ownership.
Business systems and data
Odoo, email, document repositories, databases and other enterprise applications
Visual workflow orchestration
Triggers, data flows, rules, exception paths, logging and approvals
AI models and specialized agents
Classification, extraction, summarization, assessment and tool use
Controlled, not a black box
Automation with clear responsibilities
Not every decision belongs inside a language model. We deliberately separate interpretation, business logic and execution.
AI interprets content
It recognizes context and prepares results.
Rules set boundaries
Conditions determine which actions are permitted.
People make critical decisions
Approvals remain in place wherever responsibility matters.
Systems execute reliably
Actions are controlled and logged for traceability.
Our approach
From process to production workflow
Select the process
We identify a clearly scoped workflow with measurable value.
Assess data and risk
Sources, quality, privacy and critical decisions become visible.
Model the workflow
Rules, AI steps, integrations and exception paths are defined.
Build the pilot
A working flow is tested with real cases.
Measure quality
Results, failure cases and time savings are evaluated systematically.
Scale with control
Monitoring, ownership and operations are established for the long term.
A practical starting point
Which process is costing your team unnecessary time?
Together, we identify a suitable use case and develop a manageable path from the first workflow to productive operation.
Discuss your process