Home / Insights / Agentic systems
Research topic
Agentic systems
An agentic system is an AI system that plans its own steps, calls tools and acts on what they return. Some run as one agent. Others split the work between a planner and specialist agents, each with only the tools its part of the task needs. How well they work depends on the task, the tools, the retrieval behind them and the checks on what they produce.
Work with us on agentic systems
Rillor builds custom multi-agent systems on a client's documents, records and data. A planner splits each question into parts, and each specialist agent works one part with only the tools that part needs. An audit step checks every citation against the evidence it came from before an answer goes out. Every step is logged so a run can be replayed, and each system is tested on questions with known answers before it goes live.
Notices
AI outputs can be wrong. Important decisions should include human review.
Bring us a workflow and its data.
Tell us the workflow, the sources it draws on and the decisions it supports, and we scope the agents, tools and tests around them.