What is AI operations?
Short answer: Großartiger advises on "What is AI operations?" as a Berlin-based SEO and AI agency, remote across DACH.
AI operations means permanently automating recurring business processes with AI-driven workflows, in customer service, marketing or admin for example, as opposed to using a tool once for a single task.
Reviewed by Manuel Maliszewski
Managing Director, SEO, AI and Web and Product Development
Last updated:
Short answer
AI operations means permanently automating recurring business processes with AI-driven workflows, in customer service, marketing or admin for example, as opposed to using a tool once for a single task.
From single tool to running workflow
AI operations goes beyond using ChatGPT occasionally for individual tasks. It describes AI-driven workflows that run continuously in the background and are wired into existing systems, for example a process that automatically categorizes, prioritizes and drafts a reply for incoming customer inquiries before a human gives final approval.
Typical use cases with our clients are customer service (first-reply drafts, ticket categorization), marketing (content briefs, social media planning) and admin (invoice checking, data reconciliation, reporting). Building a single AI operations workflow usually costs between €3,000 and €15,000, depending on complexity and how deep the integration into existing systems like a CRM or ticketing tool needs to go.
The difference from simple automation is the AI component: classic automation follows rigid rules, AI operations workflows can understand and meaningfully process unstructured input like free text. That makes them more flexible, but also requires clear checkpoints where a human reviews the output, especially for customer-facing or financially relevant processes.
Example: invoice checking in admin
A company receives around 200 incoming invoices a month, previously matched to purchase orders by hand. The AI operations workflow automatically extracts invoice data, reconciles it against the order system and flags only discrepancies for manual review. Manual effort typically drops 60 to 70 percent in comparable projects, with review focused on actual anomalies rather than every single invoice.
Typical AI operations use cases
- Customer service: automatic categorization and draft replies for incoming inquiries.
- Marketing: AI-assisted content briefs and first drafts for social media and newsletters.
- Sales: automatic qualification and prioritization of incoming leads.
- Admin: invoice checking, data reconciliation between systems, reporting.
- Recruiting: pre-sorting applications against defined criteria.
- Internal knowledge base: AI search over internal documents instead of manual lookup.
Emergency? Dial the emergency number
If unconscious, with severe chest pain, breathlessness or heavy bleeding, dial 112 immediately. Our service complements the emergency services. It does not replace them.
Need a doctor today?
A private physician comes to your home or hotel within 60–90 minutes, daily 6 am to midnight, anywhere in Berlin.
Frequently asked questions
Does AI operations need its own IT department?
No, Großartiger handles design, build and integration into existing systems. Ongoing adjustments usually just need one internal contact person, no technical background required.
Is AI operations only worthwhile for large companies?
No, smaller teams benefit too, as soon as a process recurs regularly and takes noticeable time, often already from a few hours a week.
How secure are AI operations workflows with sensitive data?
For every workflow we define which data may be processed and where human approval stays mandatory, especially for personal or financial data.