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AI agent operations

Control the tool call before it becomes a production change.

Deixic gives every production agent an owner, a cost, and a policy. Sensitive actions stop for approval before they reach your systems.

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Works with the systems your agents already touch

The decision happens before the tool call runs.

Deixic checks the agent, target, and policy first. Sensitive changes wait for a named person. The decision stays with the result.

Approval before executionProduction change
  1. Requested
  2. Policy checked
  3. Decision
  4. Recorded

Terraform apply against production

coding-agent · Platform

Waiting on person
Production changesAllow this action against production/networking?
Agent
coding-agent
Target
production/networking
Action
terraform apply
Policy result
Human approval required

Evidence attached

  • Terraform plan
  • Rollback plan
Policy: Production changes

See the fleet. Know the bill. Control the action.

See every agent and ownerKnow what is running, paused, or waiting on a person.Deixic agent fleet showing owners, current activity, and statusKnow what the fleet costsTie month-to-date model spend to agents and activity.Deixic spend view showing month-to-date agent costsStop sensitive actions before they runAllow, deny, or route the action to a named approver.Deixic action queue showing approvals waiting on a person

Policy stops the action before production.

Every tool call is checked against the agent, the target, and the policy. Sensitive changes wait for the right person.

How Deixic works
DexAgent operations
Which production changes are waiting on a person?
Dex

coding-agent is waiting for the Platform owner to approve a Terraform apply. The plan and rollback steps are attached.

Approval request linkedThe decision and execution result stay with this thread.

Ask why an agent is waiting. Act from the same thread.

Dex answers questions over agent status, spend, activity, and decisions, then sends actions through the same policy and approval flow.

Meet Dex
Deixic activity history showing agent actions over time

From more than 25% to 8% of revenue in three weeks.

A security leader used spend-by-agent and activity history to find the AI work compressing delivery margin.

Built by the founder of ThreatKey (acquired). Deixic’s own coding agents ship production changes through these controls.

Read the customer storyAbout Deixic

Show us the first action you need under control.

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