Post incoming invoices automatically
Today: Invoices arrive as PDFs by email, get retyped and checked by hand.
With AI: AI reads invoices of any layout, matches them to purchase orders and prepares entries for approval.
- OCR
- BMD / DATEV
- ERP
Use cases
AI use cases that pay off
From accounting to customer service: these examples show where AI agents, MCP servers and automation typically make the biggest difference.
Finance Finance Smart dunning and reminders
Today: Overdue items are spotted late and reminders feel impersonal.
With AI: An agent prioritises open items, writes appropriately worded reminders and escalates only special cases.
- ERP
- Bank
Sales Quotes in minutes, not hours
Today: Requests are unstructured and quotes are pieced together from old templates.
With AI: The agent understands the request, applies your price list and drafts a quote in the CRM.
- CRM
- Price list
Sales Enrich and qualify leads
Today: Sales spends time researching instead of talking to people.
With AI: New leads are automatically researched, scored and enriched with talking points in the CRM.
- CRM
- Web
Customer service Support answers with sources
Today: The same questions get answered over and over; knowledge is scattered.
With AI: A RAG assistant suggests answers with sources and resolves standard cases on its own.
- Ticket system
- Manuals
- Wiki
Customer service Triage the shared inbox
Today: The shared inbox overflows and urgent requests get lost.
With AI: AI classifies, prioritises and routes every message – with a summary and a draft reply.
- Help desk
- Slack / Teams
Operations Orders without retyping
Today: Customer orders arrive by email, scanned PDF or spreadsheet.
With AI: Line items, quantities and SKUs are recognised and validated, and the order is created directly in the ERP.
- ERP
Operations Stock and delivery status via chat
Today: Simple stock questions require someone to log into the ERP.
With AI: An MCP server lets Claude or ChatGPT query stock, lead times and orders securely.
- ERP
- Inventory
- MCP
HR HR questions answered 24/7
Today: Leave rules, expenses, benefits – HR answers the same questions every day.
With AI: An internal assistant replies with a link to the current policy, right inside Teams.
- Intranet
- Policies
- Teams
HR Lighten the recruiting workload
Today: Screening applications and scheduling interviews takes a lot of time.
With AI: AI summarises applications in a structured way and schedules interviews – people still make the decision.
- ATS
- Calendar
IT & product Developer context inside the IDE
Today: Developers constantly switch between tickets, docs and code.
With AI: MCP servers bring tickets, internal docs and deployments right into the IDE’s AI assistant.
- GitHub
- Jira
- Docs
IT & product Product search that understands
Today: Customers can’t find products because they use different words.
With AI: Semantic search and an AI advisor understand needs, not just keywords.
- Web app
- Search
- LLM-API
Your use case isn’t listed?
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Potential calculator
How much time is hiding in routine work?
Move the sliders for a rough estimate. The calculation runs only in your browser – no data is sent anywhere.
828hours freed per year
- value per year
- €45,500
- full-time equivalent
- 0.5
Estimate based on 46 working weeks and 1,700 hours per full-time position. Actual potential depends on process, data quality and volume.
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