They take time, interrupt workflows, and repeatedly create unnecessary rework due to media breaks, duplicate data entry, incorrect information, and unclear processes. With AI powered assistants for documentation and workflows, we are building a system that supports in the interaction, asks follow up questions, makes suggestions, understands content, detects errors, thinks along with processes, and learns from usage. Technologically, we are building ProtocolHero as a modern platform with clear workflows, APIs, LLM powered assistant systems, human in the loop logic, and an architecture that can gradually expand through MCP, RAG, and integrations with other systems. • Onsite model in Cologne with 1 day home office • You do not think about AI in isolation, but as part of a larger system of workflows, APIs, data models, permissions, MCP, LLM based assistants, and structured product logic.
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