Document processing
Extract and validate useful data from emails, forms, invoices and purchase orders.
Home / AI automation and agent development
AI automation and agent development
AI workflow automation with clear control.
I provide AI automation consulting and develop practical AI agents and workflows for extraction, classification and action, with validation and human review built in.
Designed for real data, failure cases and clear handover.
ProfileTop Rated on Upwork
Experience10+ years in development
LocationFrankfurt am Main
A useful AI workflow needs boundaries.
Language models are powerful, but their output is probabilistic. I use structured prompts, schemas, confidence checks and approval steps so AI supports operations without silently making risky decisions.
What you receive
01AI use-case assessment and workflow design
02AI agent development and model API integration
03Structured output, validation and fallback paths
04Human approval, logging and cost controls
Where this work fits
Service operations
Classify requests, draft responses and route complex cases to the right person.
Sales assistance
Research, enrich and summarize account information before a human takes action.
From idea to dependable operation
A clear delivery path exposes decisions early and reduces risk before launch.
Understand
Map the process, systems, data and exceptions with the people involved.
Design
Choose the smallest reliable architecture and define ownership.
Build
Implement with realistic data, integrations and deliberate safeguards.
Hand over
Launch, document and give your team control of the workflow.
Technology chosen for the process
Not every problem needs the same tool. The architecture follows complexity, operations and your team.
n8nMake.comOpenAIClaudeREST APIsPHPLaravelPythonSQL
Common questions
Do we need an autonomous AI agent?
Often no. A controlled workflow with a few AI steps is easier to test, explain and operate.
Can sensitive data be protected?
Yes. The architecture can minimize shared data, select appropriate providers and keep approval around sensitive actions.
How are AI costs controlled?
I reduce unnecessary calls, use suitable models, limit context and record usage where the provider supports it.
Which process is costing your team time?
Share the manual steps and connected systems. I will respond with an honest view of the approach and scope.