AI agent control plane

Your agents are spending money, changing records, and messaging customers. Who said yes?

Zahara sits between your agents and the actions that touch money, customers, credentials, and production systems. Rules are enforced outside the prompt, sensitive actions wait for a named person, and every decision leaves a record you can verify yourself.

One control plane for every agent, action, model, approval, and outcome.

Live approval checkpoint

The refund is paused. You are the approver.

Click approve to release the exact amount inside policy. Until then, the agent cannot move the money.

01Request received

$750 refund requested

Support Agent -> Refund API

Action packet created
02Policy gate

Outside the prompt

Refunds over $500 require human approval.

Decision: hold
03Human review

Approve this one refund?

Senior Operations approval is required before execution.

Waiting for your click
04Execution

Only what was approved

Execution is paused until the reviewer approves this refund.

Blocked pending approval
05Proof recorded

Proof that travels

The receipt is sealed only after the approved action completes.

Receipt not sealed yet

Why this matters now

A prompt is a request. It is not permission.

Your agents are already acting. Refunds. Customer emails. Database writes. Purchases. Right now the only thing standing between an agent and a bad outcome is a paragraph of instructions.

A prompt is a request. It is not permission.

Category correction

Building agents is not the same as governing them.

The market already has strong tools for building agents and strong tools for watching runs. Zahara adds the missing layer: an AI agent control plane that governs who can act, under what rule, with which tools, and how the proof survives afterward.

Builders

Create and connect agents

Good for prompts, flows, tools, and agent assembly. They help teams get agents into motion.

Dashboards

Watch what happened

Useful for traces, logs, and activity after the fact. They show evidence, but they do not decide who may act.

Zahara

Govern production agent work

Zahara decides what an agent is allowed to do before the action happens, then keeps the proof after.

What the control plane answers

Every consequential action needs an accountable answer.

Zahara turns agent operations into governed production work. Before an agent touches production, decide who owns it, what it may use, and where a person must step in. During the run, see what happened. Afterward, verify the record.

01
Govern

Who owns this agent?

Record the owner, allowed tools, and daily budget before production. Tool policy is enforced at a gate outside the prompt, so the agent cannot talk its way past the rule.

02
Approve

What can it do alone?

Let routine work run. Approval-required capabilities pause and route to a named reviewer. Nothing proceeds until that person approves it.

03
Observe

What happened during the run?

Follow decisions, tool calls, cost, failures, and handoffs while the work is happening instead of reconstructing it later.

04
Prove

Can you prove it later?

Export the hash-linked record and verify it in your browser. No login. No server call during verification. If a hashed row changed, the verifier identifies the failure.

From request to proof

The control loop has to hold before, during, and after the run.

This is not one approval widget. Zahara has to hold the boundary before an action happens, keep it intact while the agent is running, and leave behind a record that still makes sense later.

  1. 01

    Before the run

    Set ownership, approved models, allowed tools, credential scope, spend ceilings, and schedules before the agent does anything real.

  2. 02

    During the run

    Enforce policy at the gate, route sensitive actions to named reviewers, trace cost and latency, and keep failures, retries, and approvals attached to the same run.

  3. 03

    After the run

    Keep the hash-linked ledger, decision history, evaluation tracking, and browser verification needed to explain what happened after the UI is gone.

Proof

The dashboard is not the proof.

Every action links to the policy that allowed it, the person who approved it, and the outcome. Export the chain and verify it in your own browser.

No login. No server call.
Check us without trusting us.
Zahara proof v1Chain valid

Refund execution / evt_8f72a2c1

Action
issue_refund
Amount
$750.00 USD
Approved by
Maya Chen / Senior Operations
Policy
Refunds over $500 require human approval
Scope
Refund API / order #10493 only
Status
Success
SHA-256 / Root hash9c0d7e7b5a9f0d662b8e3f8c1a7d9e6f52361ab5e18b4601e1d50a211c4b8f2a6
Verify a live chain

Built for your seat at the table

Every buyer is asking a different question. Route them to the proof they need.

Different buyers come in through different problems, but they all need the same thing in the end: an AI agent control plane that makes production agent work governable, inspectable, and safer to trust.

For build and run

Govern what already ships

Will this force a rebuild, or can you enforce policy around the agents and tools you already run? Zahara sits outside the prompt, fits the systems you already ship, and gives you a governed path without starting over.

See build and run path
For security

Contain blast radius by default

What is the blast radius, and who actually holds the keys? Zahara puts credential access behind approval, policy, and least-privilege controls so agent adoption does not become shadow IT.

See security path
For founders

Trust customer-facing actions

Can you trust agents with real customer actions without betting the company? Zahara is built to prove what happened, hold risky actions for review, and make the receipt part of the product.

See founder path
One governed layer. Three ways in.

Start with the question that matters to you, then drill into the same proof base: features, verification, docs, and pricing.

Pricing

Start free. Expand as governed agent work grows.

Agent units combine runtime, action volume, and control-plane capacity, so the plan grows with the depth of agent work you operate.

Free
$0
No card required

Prove the control loop with one agent.

  • 2.5 agent units
  • Basic approvals
  • Build, import, or connect
Starter
$199
$159/mo billed annually

For a small production workload.

  • 5 agent units
  • 10,000 actions per month
  • Vault, Inspect, Audit, and connectors
TeamRecommended
$799
$639/mo billed annually

For teams operating multiple agents.

  • 20 agent units
  • 75,000 actions per month
  • Shared approvals, roles, evals, and exports
Scale into Business and Enterprise

Once governed agent work moves across teams, the pricing should show operational depth, rollout support, and security controls, not just a bigger number.

Scale plan$2,500/mo

Business

For teams standardizing governed agent work across functions.

  • 75 agent units
  • 300,000 monthly actions
  • Advanced approvals and department views
  • Policy packs and SSO-ready controls
Custom planCustom

Enterprise

For complex organizations with architecture, security, and commercial requirements.

  • Dedicated architecture and deployment options
  • Security review and rollout planning
  • Support and response commitments
  • Commercial terms for large organizations
Founding 20

Start free, and the first twenty teams also get direct implementation access plus input into how Zahara handles their hardest cases.

Start free and join

The next time an agent asks for $750, know who said yes.

Start with one consequential action. Put the control plane between the agent and the real world. Keep proof that survives the dashboard and still holds up later.

Govern your first agent