Services · Four segments, one system
01Agentic RPARobots and AI agents in one flow02AI AutomationUnderstand documents, emails and requests03Workflow AutomationConnect systems through APIs04Extensions & ToolsPackages, tools and dashboards
Expertise Robomotion Solution Expert One of only very few. Agentic RPA with AI agents, from APIs to the desktop. Learn more
All services at a glance Cloud · local · own server
Services
01Agentic RPARobots and AI agents in one flow02AI AutomationUnderstand documents, emails and requests03Workflow AutomationConnect systems through APIs04Extensions & ToolsPackages, tools and dashboards
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  1. aeovi
  2. Services
  3. AI Automation

Segment 02 / 04

AI Automation · Cloud & localAI that reads along and thinks ahead.

AI understands documents, emails and requests and makes decisions or prepares them. Used above all where rule-based workflows reach their limits. With powerful cloud models, or locally when data must not leave the building.

Discuss your process See example
  • Documents & emails
  • Cloud or local
  • Built into workflows
  • People decide
In brief

What is AI automation?

AI automation takes over the steps where fixed rules fail: understanding emails and documents, classifying cases, making decisions. To do this, we combine language models with decision models (System 1). Embedded in a workflow, not as a chat window on the side.

AI when …

Content needs to be understood.

Free text, changing layouts, concerns and tone. Wherever a fixed rule reaches its limits.

Fixed rules when …

The path is always the same.

Then a workflow or a software robot is enough, more reliable and cheaper to run.

Read.Understand.Prepare.

Use cases

Where AI really helps.

Wherever someone reads, classifies and summarizes today before the actual work begins.

01

Extract documents

Invoices, delivery notes and contracts: recognize and assign data, even in unfamiliar layouts.

PDFScanEmail
02

Classify inquiries

Recognize topic, urgency and responsibility and route them to the right place.

MailboxFormTicket
03

Prepare replies

Drafts in your company's voice. Your team reviews, adjusts and sends.

EmailCRM
04

Summarize & analyze

Condense long texts, minutes and reports to the essentials and flag anything unusual.

ReportsMinutes
05

Unlock knowledge

Answers from your own documents, manuals and archives, instead of searching for ages.

ManualsArchive
Before · After

One workflow, told twice.

Example incoming invoice. Once the way it is processed by hand today. And once the way it runs when every tool takes on the step it does best.

  1. Invoice arrivesby handWorkflow
  2. Recognize supplier, amounts and line itemsby handAI
  3. Match against the orderby handAI
  4. Book in the legacy systemby handRPA flow
  5. Approve above an amount thresholdby handYour team
What we work with
Claude · OpenAI · local models

Cloud & local

For language and complex tasks, we use powerful cloud models, for example Claude by Anthropic or GPT by OpenAI. If data should not leave the building, models run locally on your own hardware, without ongoing per-request fees.

Tool-independentWe don't sell a product. If a different route fits a step better, we take it and tell you so.
Interplay

One tool alone is rarely enough.

AI is one of four segments. Only together do they create processes that run end to end: AI for content, robots for programs, workflows for APIs, Extensions & Tools for everything missing in between.

RPAAIWorkflowsToolsOne system4 SEGMENTS
Why aeovi

Not every step needs AI.

AI is powerful, but not always the best choice. We use it where rule-based workflows reach their limits or where it genuinely makes a step better, and keep fixed rules where they are more reliable and cheaper.

People where it mattersDecisions that carry responsibility stay with your team, well prepared.
Data protection built inCloud or local, depending on which data is processed.
EmbeddedAI as a step in a workflow, not as an island next to it.
Collaboration

From the first conversation to a running workflow.

Step 1

Understand

You show us the process and the systems involved. We work with what you give us.

Step 2

Implement

We build the automation with the right tools and connect it to your systems.

Step 3

Support, on request

Automation is a marathon, not a sprint. If you wish, we keep looking after your workflows and adapt them when something changes.

Questions

Frequently asked questions.

Cloud AI or local AI?

Cloud models, for example Claude or ChatGPT, are strong at language and complex tasks. Local models score on data protection and running costs. Which route fits depends on your data and requirements. We work that out together.

Where is our data processed?

Wherever you want. In the cloud, on your servers or with local AI entirely in-house.

Can AI make mistakes?

Yes. That is why a person stays in the loop for important decisions. The AI prepares, your team decides.

Do we need our own hardware for local AI?

Yes, a suitable computer or server. What is needed depends on the model and the volume of requests.

Which models does aeovi use?

For example cloud models from Anthropic (Claude), OpenAI (GPT) and Google (Gemini) as well as local models. Which one fits depends on the task and the data.

What does an automation cost?

That depends on the process: what exactly it looks like, how complex it is from an automation perspective, how many systems are involved and how often it runs. You get a reliable estimate once we have aligned and clarified all points together.

Contact

Which workflow should run on its own next?

Describe it briefly. You will get a concrete proposal for what it could look like automated.

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