Brimit helpt organisaties het potentieel van data en AI te benutten door oplossingen te leveren die operaties verbeteren, kosten verlagen en resultaten verbeteren—brancheoverschrijdend en over alle bedrijfsfuncties heen.
WHAT WE DO
Designing content ingestion, chunking, embeddings, vector search, keyword and semantic retrieval, metadata, permissions, and context management. The retrieval layer finds the most relevant information before the model generates an answer—improving quality and reducing hallucination risk.
Helping choose the right approach for the business scenario: conversational assistant, enterprise search, document Q&A, sales enablement, field service support, employee self-service, or natural language analytics over combined document and tabular data.
Starting with a focused MVP: selected content sources, target users, test questions, evaluation criteria, feedback loop, and monitoring plan. After the pilot proves value, the solution expands to more content, users, workflows, languages, and integrations.
Designing role-based access, document-level security trimming, moderation, prompt governance, audit logs, human review, and escalation paths. The assistant should not expose data a user cannot access in the source system.
Connecting assistants to CRM, DXP, CMS, ERP, ticketing, Microsoft Teams, portals, automation tools, and custom business applications. AI should help users where work already happens, not in a separate interface.
