Agents
Custom AI for recurring tasks
Agents are purpose-built assistants that handle a recurring job end to end: searching your sources, reading documents, reasoning over the result and generating the response. You describe the task once; the agent runs it the same way every time it's needed.
Searched folder
Production reportsRead 2 documents
OEE-Report.xlsx Shift-Log.pdfGenerating response
Hand off the routine, keep the oversight
Some tasks come back every day: reviewing offers, comparing specs, drafting the morning summary, checking new fault reports against the maintenance history. They aren't hard. They're just time-consuming, and they compete with the work that actually needs a person. An agent does the legwork the same way every time, shows every step it took, and hands you a result you can check before anything happens with it. The difference from a chat is persistence: you set the task up once, and the agent is ready whenever the job comes back.
How agents work
Built for one job, done well
Give an agent a clear task, the sources it may use and the tools it needs. It runs the same reliable process every time it's triggered, no re-explaining, no drift.
Reads and reasons over your data
Agents search folders, open documents and pull from connected systems before they answer: production data, maintenance logs, specs. The output is grounded in what they actually found.
Transparent, step by step
Every action is visible: what it searched, what it read, what it concluded. When a result looks off, you can trace exactly where it came from. No black box.
Triggered the way you need
Run an agent on a schedule, from a production event, or on demand from a chat. The same agent can serve all three, so the process stays identical however it starts.
Tools, not just text
An agent isn't limited to writing. It can query your platform data, search documents and reach connected systems, so the result reflects the state of your operation, not a guess.
Tuned by the people who own the task
When the output isn't quite right, adjust the agent's instructions and it runs the updated process next time. The team that owns the job shapes the agent that does it.
How teams use it
The morning summary agent
Every morning it reads the last 24 hours of production data (OEE per line, the biggest stops, orders behind plan) and drafts the summary the team lead used to write by hand.
The fault triage agent
A new fault description comes in. The agent compares it with the machine's maintenance history, finds the most similar earlier cases and suggests the likely cause and what fixed it last time.
The document review agent
Supplier offers and specs arrive in different formats. The agent reads each one against your requirements and returns the same structured comparison every time, ready for a person to decide.
Give your recurring work to an agent
Tell us about one task that comes back every week. We'll show you what the agent for it looks like in a demo.