ZAK PLATFORM

Run AI-driven work safely in real-world systems.

ZAK validates, governs, and executes AI-generated actions so teams can move fast without breaking things.

Designed for teams operating in high-trust and regulated environments.

PROBLEM

AI can generate actions. It cannot safely execute them.

AI produces code, decisions, and changes quickly. The hard part is deciding what should actually run in production systems, business workflows, and regulated environments.

Teams want AI speed, but execution risk rises the moment output touches real systems.
Without controls, approvals, and evidence, every deployment becomes a trust exercise.
Most teams choose between slowing down or taking on risk they cannot explain later.

WHAT_ZAK_DOES

ZAK makes execution safe

ZAK sits between AI output and real-world execution. It adds validation, approval, and a verifiable record before anything important runs.

AI suggests

A model proposes a change, action, or decision.

ZAK validates

Rules, context, and risk are checked before execution.

You approve

Humans stay in control of risky or material changes.

Execution + receipt

Approved work runs with a verifiable audit trail.

USE_CASE

Fix and review AI-generated work safely

Start with a simple wedge: AI proposes a code change. ZAK helps your team decide whether it should actually run.

AI proposes a code change, migration, or system update.
ZAK analyzes the request against policy, context, and execution risk.
You review the proposal and approve what should happen.
The change executes with a full audit trail attached to the result.

EXAMPLE_FLOW

1. Proposed change

"Update a workflow, patch a bug, or modify a deployment setting."

2. Risk and context review

ZAK checks what is changing, who is affected, and what controls apply.

3. Human approval

A reviewer sees the proposal before execution moves forward.

4. Controlled execution

The approved change runs and the receipt records what happened.

Governor IDE

One product wedge: review AI-generated coding work with governed execution and auditability.

HOW_IT_WORKS

Governed execution, not just AI output

ZAK adds a lightweight execution layer around AI-generated work. It validates what is being attempted, enforces the controls you set, and records the result in a form teams can review later.

HOW_IT_WORKS

click_a_stage

Governance_Kernel

Machine-checkable constraints evaluated deterministically.
Authority boundaries enforced before execution.
Outcome: allow / deny / require waiver.

deterministic_governance_wraps_unpredictable_executors

Validation

Proposed actions are checked against policy, environment context, and execution risk before they touch a live system.

Governance

You decide what needs approval, what can run automatically, and what must be blocked or transformed first.

Enforcement

Execution happens in a controlled path, so the outcome is observable, reviewable, and backed by a verifiable audit trail.

PROOF_AND_DEPTH

Built for teams that need evidence, not just logs

Once the product is clear, the technical depth matters: receipts, auditability, replay, and independently verifiable records of what executed and what was denied.

Receipts

Every governed action can emit a receipt with the decision, controls, and execution outcome attached.

Replayability

Teams can reconstruct what happened during review, incident response, or external audit without stitching together screenshots and chat threads.

Cryptographic integrity

Receipts can be verified independently, so the proof is stronger than "trust our UI" or "trust our logs."

ATTACK_THE_SYSTEM

Try prompt injection, data exfiltration, or prohibited domains. Watch enforcement happen before delivery.

WORLD

PROMPT

receipt_hash: —

Run the demo to generate a cryptographic receipt-shaped response.

GOVERNANCE_RECEIPT

Receipt-shaped proof (verify locally)

hash

—

Verification pending.

RECEIPT_JSON

Run the demo above to generate a receipt.

FULL_RESULT

—

Receipt schema

See what is captured and what can be verified.

Verification guide

Walk through offline verification step by step.

Technical docs

Go deeper on governance, validation, and execution.

WHY_NOW

AI is generating more work than teams can safely execute.

ZAK is the missing layer between AI output and real-world action. It lets teams move faster without losing control of approvals, enforcement, or evidence.

More generated work

AI can propose more changes than teams can safely review through ad hoc process.

More execution risk

The risk appears when output becomes deployment, admin action, or workflow change.

A missing control layer

Teams need a governed path from suggestion to execution, with proof attached.

PRICING

Start with one workflow. Expand when you need more control.

Every tier includes governed execution, receipts, and a verifiable audit trail. The difference is how much control, scale, and deployment flexibility your team needs.

BUILDER