AI copilots · 4 min
Designing a business AI copilot: architecture, data and guardrails
Design a copilot around real work, with business context, sources, permitted actions, interface choices, human approval and quality measurement.
Read the guideBinov · From idea to production
AI agents and assistants integrated into your business.
Connect your knowledge, tools and processes with solutions designed for your use cases.
Identify a useful first use case
Choose by task, not by tool
Search
Find a procedure and its sources: RAG provides context, but cannot guarantee an accurate answer.
Assist
Prepare a response in a business tool: the copilot proposes, the user checks and decides.
Act
Update a tool or process a request: the agent acts within authorized boundaries, with review where needed.
Orchestrate
Connect steps in a known process: automation follows rules and handles exceptions explicitly.
AI agents & automation
AI agents
Delegate tasks to agents with authorized tools, explicit reviews and traceable actions.
AI automation
Connect repetitive steps with rules, integrations and exception handling.
RAG development
Search your knowledge and prepare answers accompanied by sources.
AI copilots
Assist users within their working tools while keeping decisions in their hands.
From use case to operation
We scope sources and access rights, build a pilot, evaluate its answers and actions against representative cases, then prepare monitoring and recovery procedures. Limits, human reviews and responsibilities are defined before production.
