Accounts payable
Field extraction, order/DDT matching, proposed accounting entry.
04 / AI-DRIVEN-AUTOMATION
Automation
AI-driven AutomationAutomation — AI extends automation to unstructured processes (email, docs, decisions).
AI extends automation to unstructured processes (email, docs, decisions).
Where rule-based automation doesn't reach, AI agents do: triaging email, reading documents, classifying tickets, making decisions backed by data. The end-to-end loop closes.
+90%
Typical automation rate
−70%
Handling time
HITL
Always available
§ A
Overview
Real-world processes are rarely fully structured: there's an email to understand, a PDF to extract, an atypical case to classify. AI-driven automation injects intelligence into workflow points where rigid rules fail.
We combine intelligent document processing, text classification, LLM agents and workflow engines to build 'cognitive' automations that adapt and improve over time.
§ B
What's included
- Identification of decision points to delegate to models
- Intelligent Document Processing (IDP) on PDF, images, email
- Automatic classification and routing of requests
- Structured extraction from unstructured text
- Approval inference (automatic approval proposal)
- Human-in-the-loop for low-confidence cases
- Accuracy and drift monitoring
§ C
Deliverables
What you get at the end — or along the way — of an engagement on AI-driven Automation.
- D/01Hybrid workflow + AI architecture
- D/02Versioned models or prompts
- D/03Human review console
- D/04Accuracy and automation-rate metrics
- D/05Re-training playbook
§ D
Use cases
Email triage
Automatic classification of incoming email and routing to the correct team.
Contracts & clauses
Extraction of key clauses, deadlines and obligations from signed contracts.
Customer requests
Understanding free-form requests and routing them to the correct process with pre-filled data.
§ E
Our process
01
Process audit
Identification of decisions suited to AI vs rules.
02
Data & evaluation
Evaluation dataset, success metrics.
03
Build
Models, prompts, workflow integration.
04
HITL
Launch in human-in-the-loop mode, threshold calibration.
05
Auto-pilot
Progressive increase of the automation level.
§ F
Technologies
OpenAI · Anthropic · MistralAzure Document IntelligenceGoogle Document AI · AWS TextractRossum · ABBYYLangChain · LlamaIndexCamunda + AI tasks
Indicative stack. We adapt choices to your context, internal skills and existing constraints.
§ G
Frequently asked questions
Q/01Does it really work?+
On the right processes, yes. On standard invoices we reach 90%+ full automation, with efficient human routing on the rest.
Q/02What if the AI gets it wrong?+
Confidence thresholds decide what goes auto and what goes to review. Everything is logged and traceable.
Q/03GDPR and AI Act?+
Handled by design: minimisation, legal basis, impact assessment, model classification per the AI Act.
Next step
Let's talk about ai-driven automation.
A 30-minute call to understand your context and whether we can really help. No commitment.