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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 potential
Event
AI Agent
Target system
Human approval
Language model
Knowledge & data
Rules
Tools & APIs
Visually orchestrated AI workflow

Beyond 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.

Layer 1

Business systems and data

Odoo, email, document repositories, databases and other enterprise applications

Layer 2

Visual workflow orchestration

Triggers, data flows, rules, exception paths, logging and approvals

Layer 3

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

1

Select the process

We identify a clearly scoped workflow with measurable value.

2

Assess data and risk

Sources, quality, privacy and critical decisions become visible.

3

Model the workflow

Rules, AI steps, integrations and exception paths are defined.

4

Build the pilot

A working flow is tested with real cases.

5

Measure quality

Results, failure cases and time savings are evaluated systematically.

6

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