When AI agents act for you

Example · made-up companyPause

Your people decideYour agents act

01

Every AI agent checks om before it acts.

Decision feed

Today

2,048agents connected

1,84,302actions checked

37sent to a person

1,126rules people approved

Your AI agents now refund customers, give discounts, pay invoices, answer support and change code. Each one acts in seconds and on its own. None of them knows the decisions your people made, or who to ask when a case is new.

Where it goes wrong

• An agent follows the letter of a rule and misses its reason. The refund agent pays out because the amount looks normal, not knowing why the limit exists.
• Every agent stays inside its own limit. Together they break the one your CFO set.
• Nobody can say who allowed it. The log shows what the agent did, not which person’s decision it was following.

With AppThentic

1. Every agent checks om first. Agents connect through MCP. Before a refund, discount, payment or code change, the agent asks om which approved rule applies, and gets the rule, its reason and its owner.
2. A new case goes to the person who decides. When an action breaks an approved rule, or no rule covers it, om holds it and asks the owner. See Finding the owner.
3. One answer, every agent. The owner’s decision is saved with their name and the date, and every connected agent follows it from then on.
4. Every action has a name on it. Each allowed, held or stopped action is kept with the rule it followed and the person behind that rule. See Access and audit trail.

What the agent sees

refund-agent → om.check("refund", amount: 12000, tier: "Gold")
Hold: auto-refunds stop at ₹5,000 (R-118).
Reason: refunds above ₹5,000 need a risk review.
Owner: Priya S. · Head of Risk
Asking Priya now. Her answer comes back here.

Who uses it

Heads of risk, finance, support and engineering at companies putting AI agents to work on money, customers and code.