A genuinely useful internal AI assistant doesn't just answer one question and forget the last one. DABO's AI assistant is built to sustain multi-turn conversations — retaining context throughout a session, understanding natural language, and answering based on your organization's own internal documents.

The core difference comes from RAG (Retrieval-Augmented Generation): before answering, the assistant searches your real document library — procedures, policies, contracts, technical documents — then composes an answer with clear source citations you can verify. If no relevant information is found, it says "not found" instead of fabricating a plausible-sounding answer.

The internal AI assistant can be embedded into channels your team already uses — a web interface, internal apps, Microsoft Teams, messaging apps — so employees can look up information right inside the tools they use every day, without switching between systems.

The entire process runs on the organization's own infrastructure — internal data and documents never leave the organization throughout.

For organizations that want to go further — having the assistant not just answer but also help act on business systems like ERP or CRM — this is an extension path DABO is glad to scope and implement on a case-by-case basis, built on top of the solid RAG foundation already in place.