AI agents: Knowledge Management
11 production-ready agents in Knowledge Management. Each one describes what it does, a practical example, the effect month by month, a payback calculation tied to a real role, and the systems it reads data from.
Maintains the company's knowledge base and answers employee questions using it.
Guides new hires through processes, access, and training according to plan.
Conducts staff training and testing, adapting to level and role, and records results.
Answers internal questions (HR, IT, processes) in a single interface.
Maintains an up-to-date database of regulatory and technical documentation (DSTU, pharmacopoeia, DBN for premises).
Searches and answers questions across all company systems (drives, email, regulations, SOPs, databases), with references.
Guides new employees: answers questions about processes, systems, and regulations during the first months.
Helps formalize and structure the knowledge of key specialists (technologists, scientists) into transferable materials.
Briefly summarizes long documents (reports, regulations, contracts), highlights key points, and answers questions.
Prepares training materials and courses for roles based on internal knowledge base and SOPs.
Prepares training materials and assesses knowledge with tests.