# AI Agents & Process Automation

- URL: https://www.heissenberger.at/en/ki-agenten-prozessautomatisierung/
- Language: en
- German version: https://www.heissenberger.at/ki-agenten-prozessautomatisierung.md

> Identify recurring workflows, integrate AI agents into your existing systems and make the benefit measurable – with clear rules for when a human decides.

AI agents are software that plans and carries out tasks on its own: they read documents and emails, look up information in your systems, prepare decisions and trigger the next steps. Used well, they take over routine work – and your people gain time for what really needs experience.

> An AI agent is only as good as the process it is embedded in. That's why I never start with the technology, but with your workflow and your goal. <cite>‒ Andreas Heissenberger, Technology Mediator</cite>

**Typical use cases:**

- Understanding, routing and pre-processing incoming requests, emails and documents
- Reconciling data between systems that is still transferred by hand today
- Preparing quotes, reports and summaries from existing information
- Making knowledge from internal documents and systems accessible to staff and customers
- Speeding up review and approval processes where a human makes the final decision

## Approach

1. **Process analysis:** Which workflows cost the most time today, where do errors occur, where does the data live? The result is a prioritised list with effort, benefit and risks.
2. **Pilot:** One selected process is implemented with an AI agent and tested in day-to-day work with real cases. Metrics defined up front show whether it pays off.
3. **Integration:** The agent is connected to your existing systems – CRM, ERP, email, document storage or custom interfaces.
4. **Operations and evolution:** Ongoing monitoring of quality, cost and availability, regular reviews and step-by-step expansion to further processes.

## Responsible use

AI agents make decisions with real consequences in your business. That's why these points are part of the concept from day one:

- **Humans stay in control:** Clear rules about which steps the agent handles on its own and where approval is required
- **Traceability:** Every action of the agent is logged and can be reviewed afterwards
- **Data protection:** Choice of models and hosting to match your GDPR and confidentiality requirements
- **Legal framework:** Classification of the use case under the EU AI Act
- **Cost control:** Transparent operating costs and usage monitoring

## Services

- Potential analysis: where do AI agents pay off in your business?
- Concept and architecture of agent solutions
- Selection of AI models and providers
- Development and integration of AI agents into existing systems
- Pilot projects with measurable success criteria
- Operations, monitoring and evolution
- Second opinion on existing AI projects and offers