Autonomous AI agents that handle onboarding processes. RAG pipelines that make your company knowledge searchable. Workflow automation that takes routine work off your team, with people approving what matters. Including project experience in medical onboarding.
What is an AI agent?
An AI agent is a software system that uses a language model to independently plan and execute multi-step tasks - such as checking data, querying systems, drafting e-mails and triggering follow-up actions. Unlike a chatbot, an agent does not just answer - it works.
Substance instead of slogans
Autonomous AI agents
Agents that take over complete process chains: checking documents, extracting data, updating systems, asking follow-up questions. Applied in a project for onboarding processes in the medical field.
RAG pipelines & knowledge bases
Retrieval-augmented generation makes internal documents, contracts and manuals searchable in natural language - with source citations and without hallucinations.
Document automation
Automatically classify, extract and transfer invoices, forms and contracts into your systems - including validation rules and four-eyes workflows.
Workflow automation
From e-mail triage to automatic quote generation: processes are analysed, automated and equipped with monitoring - with n8n, custom services or both.
GDPR-compliant architecture
EU hosting, data minimisation, data processing agreements and - where necessary - local models. AI deployment that also stands up to the data protection authority.
Measurable ROI
Every automation is instrumented with metrics: hours saved, throughput times, error rates. AI as an investment with evidence, not an experiment.
Typical projects
- AI agents for business processes
- RAG systems & internal knowledge search
- Document extraction & classification
- Workflow automation (n8n, custom)
- AI chatbots with company knowledge
- AI strategy & feasibility analysis
Technology stack
Proven standards instead of exotics: every technology in use has a large ecosystem and long-term maintainability - so your project can still be extended in five years.
Projects from this area
KI-AutomatisierungSymbolbildMedizinischer Sektor
KI-Agenten für Onboarding-Prozesse
KI-Agenten prüfen eingereichte Unterlagen, extrahieren Daten und beantworten Fragen auf Basis interner Wissensdokumente, mit Eskalation an Menschen bei Unsicherheit.
Finanz-AutomatisierungDemo mit BeispieldatenDevpack
Offene-Posten-Automatisierung
Aus der Offene-Posten-Liste der Buchhaltung werden personalisierte Zahlungsinformationen mit Zahlungs-QR-Code, kontrolliert verschickt und protokolliert.
Frequently asked questions about ai & automation
How much does AI automation cost for companies?
Focused automations (e.g. document extraction) start at around €5,000, complex AI agent systems at €15,000. A feasibility analysis (from €1,500) clarifies upfront which process offers the best cost-benefit ratio.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions in a dialogue. An AI agent executes tasks independently: it plans work steps, calls systems and databases, makes rule-based decisions and triggers follow-up actions. Agents replace process work, chatbots replace search fields.
Is using AI possible in a GDPR-compliant way?
Yes, with the right architecture: EU hosting or local models, data minimisation, pseudonymisation and data processing agreements with all providers. The data protection assessment is a fixed part of every AI project by Astra IT Solutions.
Which processes are suitable for AI automation?
Processes with high volume, clear rules and a document or text focus work best: inbox handling, onboarding, invoice verification, support triage, report generation. Rule of thumb: what a trained employee completes in under 10 minutes following a pattern, an agent can usually take over.
How quickly is an AI project productive?
A first productive prototype typically stands after 3 to 5 weeks. It is then extended iteratively: more process steps, more data sources, more autonomy - each with measurement of result quality.
Guides & matching tools
KI-Agenten im Unternehmen: Was sie können und wo sie sich rechnen
KI-Agenten führen eigenständig mehrstufige Geschäftsprozesse aus - vom Dokumenten-Check bis zur Systempflege. Ein Praxisleitfaden mit Einsatzszenarien, Grenzen und Rechenbeispiel.
RAG einfach erklärt: So macht Retrieval-Augmented Generation Firmenwissen nutzbar
RAG (Retrieval-Augmented Generation) verbindet Sprachmodelle mit Ihren eigenen Dokumenten - für präzise, quellenbasierte Antworten ohne Halluzinationen. So funktioniert die Technik.
Chatbot vs. KI-Agent: Der Unterschied, der über Ihren ROI entscheidet
Chatbots beantworten Fragen, KI-Agenten erledigen Arbeit. Warum diese Unterscheidung über Erfolg oder Frust von KI-Projekten entscheidet - mit Entscheidungsmatrix für Unternehmen.
Written first assessment, no sales call
Ready for a project that actually works?
Tell us what you need. You get a written first assessment with a realistic scope and next steps - no obligation, no sales pressure.
Reply within 24 hours on business days · +43 699 1919 5789