AI-Flow is a platform that automates responses to recurring employee questions using internal company data. Teams can build and manage AI agents via a unified interface for workflow design, production management, and quality evaluation. Agents retrieve information from sources like SharePoint and databases, presenting answers with footnotes linking to original materials. A visual workflow builder designs agent logic with defined execution paths. Credential isolation secures API keys outside model context, while observability features track executions and provide audit logs. Cost tracking monitors token usage and expenses across models and agents. Role-based access control and adoption analytics are managed centrally. An evaluation suite tests answer quality, measuring groundedness, precision, and recall. Feedback mechanisms let users rate responses, feeding comments into the evaluation workspace. The model-agnostic architecture ensures workflow stability when switching providers.
