ERP.AI
Bring agents into the business process.
Let an agent help with real work while people retain clear ownership of access and decisions.
Use a harness that connects models, tools, and context.
Proto coordinates models, tools, skills, context, and permissions. Its ERP.AI actions work with applications and their resources through supported platform operations. Teams can use a supported hosted or local model within the capabilities of their chosen setup.
An agent can assist with preparing information, inspecting records, and carrying out permitted actions. Give it a defined task and a suitable identity instead of treating a broad conversational instruction as a substitute for business policy.
Put recurring agent work into an inspectable process.
ERP.AI workflows include Memory, GNN, AI Agent, condition, approval, and action nodes. They can connect business records and approved Plugin actions. Workflow state and output help the operator understand where work reached a decision or encountered an error.
A useful boundary is the point where a recommendation becomes a business change. Assign human review to the actions that need it, and keep the reviewer’s decision attached to the process.
Give every task a scope and an owner.
Context
Identify the app, relevant records, current state, and evidence the agent should use.
Access
Provide the required credentials and permissions through the supported setup. Keep secrets out of prompts, page source, and shared documents.
Decision
Say which actions the agent may complete and which it should prepare for a person.
Result
Review the record changes, workflow output, and any external effects before treating the task as complete.
Put ERP.AI to work for your business.
Choose an application, then configure the records, roles and workflows your team needs.