Conversational AI wired into your knowledge base, systems, and workflows - built to answer real questions accurately, not to look impressive in a demo.
Advatech builds AI assistants for internal teams and customer-facing use - grounded in your actual data through retrieval, integrated with your systems for real actions, and evaluated for accuracy before they ever reach a user.
Whether it's an internal helpdesk assistant, a customer support bot, or a specialist assistant for a specific workflow, the same discipline applies: grounded answers, clear escalation paths, and measurable accuracy.
Assistant personas and conversation flows designed around real user tasks, not generic chit-chat.
Answers grounded in your actual documentation and data via retrieval, reducing hallucination risk.
Assistants that can take real actions - creating tickets, updating records - not just answer questions.
Deployed across web, Microsoft Teams, WhatsApp, or wherever your users already work.
Clear handoff to a human when the assistant hits the edge of what it should answer alone.
Ongoing testing against real queries to catch drift and hallucination before users do.
Target use cases, knowledge sources, and success metrics agreed upfront.
Assistant built with retrieval grounding and defined escalation paths.
Tested against real queries before any production rollout.
Rolled out to real users, with ongoing tuning based on actual usage.
Answers are grounded in your actual documentation through retrieval, with the assistant instructed to say it doesn't know rather than guess - and we evaluate accuracy before launch.
Yes - assistants can be wired into your systems to create tickets, look up records, or trigger workflows, within permissions you define.
A defined escalation path hands off to a human agent, rather than the assistant guessing at an answer it shouldn't give.