The agent acts within the limits you set

For enterprise AI, what matters most is not what the agent can do but what it cannot. Below is a live example of approving a critical action.

01Human control

We automate the work; critical actions stay under human control

The agent prepared a payment and checked the documents. From here you decide, as the manager. Without approval the payment does not go out.

Payment

Demo Scenario
Payee
Supplier LLC
Invoice
INV-2291
Amount
18,400,000 UZS
  1. Prepared
  2. Waiting approval
  3. Approved
  4. Executed

You are the finance manager. Approve the payment?

AUDIT LOG

  1. agentpayment.prepared INV-2291 · checks: invoice ↔ contract ↔ delivery ✓
  2. agentapproval.requested → finance manager
02Security

Rights and isolation

The agent works with its role’s rights, data of different departments and clients never mixes, personal data is masked wherever it is not needed.

  • RBAC
  • Access isolation
  • PII handling
03Security

Control over actions

Allowed tools and parameters, limits, approval of payments and outbound emails, a log of every call.

  • Tool boundaries
  • Approval workflows
  • Audit logs
04Security

Resilience

Text from emails and documents never becomes a command; if a model is unavailable — a fallback or a person; keys in a secrets store; retention by your policy.

  • Prompt injection
  • Model fallback
  • Secrets
05Security

AI agent security

  • RBAC

    The agent acts with the user’s or its own role’s rights — never wider.

  • Audit logs

    Requests, tool calls and decisions are logged and available for review.

  • PII handling

    Personal data is masked wherever the model does not need it.

  • Access isolation

    Data of different clients and departments never mixes in one context.

  • Prompt injection

    Text from emails and documents is data, not instructions for the agent.

  • Tool boundaries

    Each tool is limited in actions, parameters and quotas.

  • Approval workflows

    Payments, outbound emails and data changes go through approval.

  • Model fallback

    If a model is unavailable, the process falls back to another one or to a person.

  • Data retention

    Retention of conversations and logs follows the company’s policy.

  • Secrets

    Keys and tokens live in a secrets store, never in prompts or code.

06Contact

What do you want to hand to AI?

Describe the task in your own words, answer five questions and get a preliminary AI agent schema. Or just write to us.

Preliminary AI agent schema

Step 1 of 7

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