An operations assistant that looks across sales, purchase, stores, production and accounts in DotOne. Ask what is stuck, who is holding it up or what the day looked like. The agent finds approvals that have waited too long and hand-offs that have stalled between teams, and prepares a nudge for the right person.
In a traditional ERP the software stores the data and people do the analysis. In DotOne the agent does the analysis and your team makes the decision.
The agent only acts within the roles, permissions and approval rules you set in DotOne. Anything that changes data can be set to need a person's approval.
It looks across departments for work that has stalled. It reads approvals and hand-offs in every module, finds what has waited too long, names the owner and prepares a nudge or a daily summary. The other agents look inside one department; this one looks at the gaps between them.
No, unless you set it up that way. The agent reads DotOne data and prepares things. It works within the roles, permissions and approval rules you set, and anything that changes data can be set to need a person's approval. Nudges and escalations follow the rules you choose.
You set the limits, such as two days for a PO approval or four hours for a dispatch invoice. The agent compares each item against those limits and its usual pace, and flags what has gone past them.
Workflow automation in DotOne moves approvals and alerts between teams by fixed rules. The Operations AI Agent sits on top of it, watching where those workflows slow down and helping the right people act on them.
In a 30-minute demo we connect the agent to a sample of your workflow automation data and show what it finds.