AI agents that work inside your business, not beside it
An AI agent is software that perceives context, decides what to do next, and acts through tools or outputs—under policies you set. TracedMethod connects those agents to your real data, your review queues, and the models you trust.
More than a chat window
In practice, an AI agent is a loop: it receives a goal or event, pulls in the right context, reasons about the next step, and produces a result or invokes an integration. Good agents are bounded—they only see what you allow, only act with permission, and leave an audit trail you can inspect.
TracedMethod treats agents as first-class parts of the platform: they share your Context Intelligence library, power customer-facing chatbots, and will soon run on schedules you define so routine intelligence work happens even when nobody is at the keyboard.
Three ways TracedMethod puts agents to work
Each path uses the same idea—models plus your context plus clear rules—but tuned for a different job: building memory, talking to people, or running on a clock.
Context Intelligence
Specialized agents read signals from email, documents, and communications, then propose structured context for your library. You approve every item before it shapes how other models behave.
Chatbots
Conversational agents answer visitors and staff using your approved context, optional tools, and guardrails—so replies stay on-brand and actions stay accountable.
Scheduled automation
PlannedOn the roadmap: cron-style schedules that run agents on a cadence you define—digests, follow-ups, health checks, and recurring workflows without someone clicking “run” every time.
Details will ship with the product; meanwhile, Context Intelligence and Chatbot are live in TracedMethod today.
See agents in your workspace
Sign in to configure Context Intelligence, deploy a chatbot, and manage AI agents alongside the rest of TracedMethod.