Retrieval-augmented answers pulled from your organization's own business memory items, knowledge base, and brand memory -- not a generic model guessing.
A question is run against your org's own real digital-twin nodes, projects, invoices, and client risk assessments -- not a generic model with no access to your data.
Each answer names how many real records it found and cites specific examples (a project by name and status, an invoice by number and amount) as evidence, not a vague summary with nothing to check it against.
Any existing client risk assessments are returned alongside the answer, with their real computed risk score and level.
Enterprise deployment, workflow design, and data migration — talk to the team that builds it.