Projected need
Demand, coverage and safety stock.
The Execution Agent receives recommendations from the other agents, validates constraints, open orders and permissions, then drafts the transaction inside your ERP or approved workflow channel. Every action stays linked to its reason, source, approver and outcome.
Ready for approval.
Quantity, supplier, reason and delivery are fully documented. Illustrative example of Keeper's output.
Every other agent's output reaches it ready for approval, and nothing executes without explicit sign-off.
Keeper does not rely on a generic model detached from your operations. It gathers the operational signals that actually drive the decision, preserving source and timing for each data point, and operates at the integration level you agree on: PDF/Excel, a draft message, a Draft via API, or write-and-approve inside ERP.
Demand, coverage and safety stock.
Internal transfer before external purchase.
What's ordered, what's arriving, what's delayed.
Minimum order, pack sizes, lead time and price.
Actual time, quality and cost.
Who reviews, who approves, and authority limits.
ERP and workflow tools keep the forms, rules and approvals. Keeper does not replace them; it fills the draft from a multi-source recommendation and documents the decision's context.
| Area | ERP & workflows | What Keeper adds |
|---|---|---|
| Creating the transaction | Forms, rules and approvals | Fills the draft from a multi-source recommendation |
| The planned order | Planning output or manual entry | Explains why the quantity, supplier and timing were chosen |
| Permissions | Limits and approval paths | Honors them and documents the decision's context |
| Communications | Messages or collaboration tools | Drafts a message tied to the exception and transaction |
| Follow-up | Order status | Measures the decision's impact and feeds it back to memory |
Keeper starts with read-only access by default. Drafting or writing transactions can be enabled through defined integrations, permissions and approval paths your company agrees on, and Keeper never executes an action outside delegated, logged boundaries.
Every recommendation follows a clear sequence your team can review: validate constraints, explain the reason, draft the transaction, then the authorized person approves.
The proposed action arrives from the source agent with its reason and data.
Open orders, budget, approved supplier, and duplicate prevention.
A complete transaction with every field's source and reason.
A draft awaiting the authorized approver, then its outcome is logged.
Instead of a long report with no decision, Keeper shows priority, number, reason and next step in one screen. Illustrative example of Keeper's output.
Every step stays linked to its source, timing and responsible user.
Results are measured against your past and current data, showing what worked, what needs improvement, and the confidence range behind each recommendation. Figures below are an illustrative example of Keeper's output.
"AI prepares the decision and the draft, but authority, approval and financial limits stay with your team."
Keeper's design principle
Automation doesn't mean losing control. Every capability has limits, permissions and an audit log, and execution can stay fully under human approval, or specific low-risk actions can be delegated within financial and operational limits your company sets.
Keeper does not write to your system without explicit activation.
Every user operates within their limits and approval path.
Quantity, reason, user and timing are all preserved.
Sending or writing can be blocked based on policy.
Each agent is independent in its task, but shares context and decisions with the rest of the team so departments don't operate in silos.