Architecture & discovery
Identify the task, data sources, access boundaries, model requirements, and evaluation criteria before choosing an LLM or agent framework.
Consulting · Engineering · Training
Turn enterprise knowledge and workflows into useful AI applications.
Identify the task, data sources, access boundaries, model requirements, and evaluation criteria before choosing an LLM or agent framework.
Design ingestion, chunking, retrieval, citations, and permission-aware access to enterprise knowledge. Evaluate answer quality against representative questions.
Connect tools through APIs or MCP, constrain agent actions, and plan observability, human review, costs, and deployment.
Share your current platform, business requirements, constraints, and desired outcomes.
Discuss an AI ProjectRelated corporate training