Workflow Automation · Advanced stage

Autonomous agents in your business that act.

Inbox processing, contract analysis and ticket pre-classification: concrete use cases with measurable ROI, the natural next stage once a solid RAG foundation is in place.

01 · Architecture

From input to action

Every workflow follows the same pattern and is adapted to your specific use case.

Input

Document, email, event

Analysis

Extraction, classification

Decision

Agent logic, rule set

Action

API, ticket, routing

Feedback

Learning, optimizing

02 · Flagship use cases

Three proven automations

Every use case is production-tested and adapted to your specific requirements.

From scan to action

Intelligent inbox processing

Incoming mail, whether physical or digital, is automatically classified, extracted and routed to the right systems. Without manual sorting.

Results:

80% less manual sorting
Seconds instead of hours of processing time
No missed deadlines

Process:

1

Document arrives (email, scan, upload)

2

Text extraction and structuring

3

Semantic classification and intent detection

4

Entity extraction (invoice no., date, amounts)

5

Automatic routing or action

Spot risks, understand content

Contract analysis and clause extraction

Automatically analyze contracts, identify critical clauses and create structured summaries. For legal departments, procurement and compliance.

Results:

90% faster contract reviews
Consistent risk assessment
No missed clauses

Process:

1

Upload contract document

2

Structure and clause detection

3

Risk scoring based on clause types

4

Comparison with standard templates

5

Structured report with recommended actions

Understand requests before they are routed

Ticket pre-classification and support assistance

Support tickets are semantically analyzed, prioritized and enriched with relevant context from the knowledge base before a colleague sees them.

Results:

60% shorter first response time
Better routing accuracy
Relief for support teams

Process:

1

Ticket arrives (email, form, chat)

2

Intent and sentiment analysis

3

Knowledge match with the Knowledge Engine

4

Assign priority and category

5

Response suggestion or direct escalation

03 · The difference

Why not rule-based automation?

Semantic, not rule-based

The Knowledge Engine understands content, not just keywords. For example "contract with a deadline reference" instead of "contains the word 'deadline'".

Context-aware

Every decision draws on your company knowledge. Customers, products and history flow in automatically.

Action, not just answers

Agents create tickets, update CRM data and trigger workflows, without a manual intermediate step.

Human in the loop

Thresholds determine when the system acts automatically and when a human gets involved.

04 · Measurable results

ROI that adds up

80%

Time saved

on document-based routine tasks

5x

Throughput

more cases per employee

99%

Consistency

in document classification

< 6 Mo.

ROI

typical payback period

Which process is your biggest time sink?

Book your free 30-minute intro call. We identify the best starting point for your process automation.

Let’s talk about how AI can move your business forward.

Get in touch, we look forward to your project.

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