AI use case / Professional Services
Research & Knowledge Agent
Knowledge teams search internal documents, past projects and approved external sources to answer business questions.
Design this AI workflowWhy this workflow
Make the next decision faster.
Knowledge teams search internal documents, past projects and approved external sources to answer business questions.
The workflow
From signal to supervised action.
The exact implementation changes by organization. The operating pattern stays clear.
Built with control
Autonomy is useful when the boundary is clear.
CodeCrux designs the workflow around its permissions, review points, system actions, and evidence requirements.
Frequently asked questions
Questions teams ask before they build it.
What is Research & Knowledge Agent?
Research & Knowledge Agent is a multi-agent system for knowledge management teams in Professional Services. It helps address this problem: Knowledge teams search internal documents, past projects and approved external sources to answer business questions.
How does Research & Knowledge Agent work?
The workflow starts when business question is submitted. It uses research, retrieval and evidence agents to complete these steps: Understand the question; Search approved internal knowledge; Retrieve past project evidence; Evaluate sources; Synthesize a reviewed deliverable.
What systems can Research & Knowledge Agent connect to?
A typical implementation can connect to approved systems such as Document store, Project repository, Knowledge base, Approved research, Collaboration tools. The exact integration depends on the organization's architecture, access policies, and data boundaries.
What should humans approve in Research & Knowledge Agent?
Human involvement should remain where the workflow requires judgment, exceptions, or a sensitive business action. For this use case, Review conclusions, apply expertise and approve the deliverable.
What controls are needed for Research & Knowledge Agent?
Important controls include Permission-aware retrieval, Source citations, Expert review, External source policy. These controls help define what the AI system can see, recommend, or do and when a person must review the outcome.
Is Research & Knowledge Agent ready for production?
This workflow is marked ready now in the CodeCrux use-case library. Production readiness still depends on data quality, system access, evaluation, observability, security, and a clear human review design.