AI Agents and Workflow Automation
AI applications combining models, documents and tool integrations around a defined task.
- Canonical: https://www.mehmeterendereli.com/en/services/ai-agent-workflow-automation
- Language: en
Illustrative technical visual.
AI Agents · RAG · MCP
AI applications combining models, documents and tool integrations around a defined task.
Approach
I first define the repetitive task and its success criteria. Document-grounded answers through RAG, tool integrations through MCP or APIs, and human approval where needed are designed together. Access permissions, data boundaries and failure cases are part of the scope.
Deliverables
- Workflow prototype and integration scope
- RAG knowledge base / MCP or API integration
- Test scenarios, failure records and usage notes
Expected Outcomes
- A process map identifying manual steps and automation opportunities
- Document answers and tool outputs with traceable sources
- Defined criteria for success, failure and human review
Next Step
If you have a similar requirement, let's define the scope together.
I review the request and come back with a proposed approach and scope.