THE INDEPENDENT CHECKS-AND-BALANCES LAYER

When AI safeguards fail, accountability shouldn't.

Independent authority for human and AI work. Designed to keep consequential actions within defined limits, with the right person involved when it matters.

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Human + AI Model-agnostic design Evidence-led accountability

ILLUSTRATIVE GOVERNED WORKFLOW AUTHORITY FLOW

EXECUTIVE INSTRUCTION

Transfer request: $2,000,000

REQUESTED

AI ASSISTANT

Prepares transaction

PREPARED

EMPLOYEE

Approval recorded

APPROVED

◆

AITAPP AUTHORITY CHECKPOINT

Independent condition missingAction requires further verification

ESCALATE

ESCALATE — EXECUTION PAUSEDUntil required conditions are satisfied

■ ■ ■

PERMISSION ≠ DECISION VALIDITYAITAPP / CONCEPTUAL EXAMPLE

EXPLORE THE PLATFORM

01 / WHY AITAPP

Permission is not the same as a valid decision.

An action can look authorized even when a required independent confirmation is missing. Access controls are important. They are not the entire decision.

↗

Instruction received

A senior executive requests a significant transfer.

IDENTITY / REQUEST

◎

AI prepares

An AI assistant prepares the payment instruction.

WORKFLOW / PREPARATION

✓

Employee approves

Existing permissions and approval steps appear satisfied.

ACCESS / APPROVAL

◇

AITAPP asks: what's missing?

When a required independent check is absent, a governed action can be escalated rather than executed.

AUTHORITY / ESCALATION

Illustrative workflow. Enterprise enforcement depends on integration at the protected action boundary.

02 / HOW IT WORKS

A second set of eyes.
A clear line of authority.

Not another AI supervisor. An independent control layer designed to govern consequential actions.

01 — ASSIGN

⌘

Define authority

Set the boundaries of what a person or AI worker is permitted to do.

02 — EVALUATE

≋

Check the action

Evaluate the requested action against the applicable limits and required conditions.

03 — DECIDE

◇

Respond proportionately

Permit, deny, escalate, approve once, or halt within a governed workflow.

04 — VERIFY

✓

Preserve evidence

Support verification and a reviewable record of the action and decision.

MODEL-AGNOSTIC DESIGNHUMAN + AIVERIFIABLE EVIDENCE

03 / AITAPP PERSONAL · COMING SOON

Your AI companion.
Not another interruption.

AI is becoming part of everything you do. Your authority should come with you.

We’re developing a lightweight experience that can work alongside supported AI workflows, help you recognize when something deserves attention, and bring you into the decision only when it matters.

↳ Quiet by design

↳ Meaningful intervention

↳ Your choice, your authority

Get free early access

AITAPP Personal is in development. Availability and supported controls may vary by device, operating system and integration.

◢AITAPPALONGSIDE YOU

✓

Routine actionNo interruption needed

Important decisionYour approval matters

✓

Your preferencesStill in control

04 / BUILT TO GROW WITH YOU

Start personally. Scale with confidence.

The same principle — meaningful authority and accountability — from an individual's workflow to a company's consequential decisions.

01 / PERSONAL

◉

Start with you

Early-access tools intended to help people stay informed and in control of supported AI activity.

Join the waitlist

02 / TEAMS

◎

Bring the team

Extend shared decision boundaries, clear responsibilities and escalation to more collaborative workflows.

Discuss a use case

03 / ENTERPRISE

▦

Govern at scale

Evaluate controlled, auditable authority decisions at high-consequence action points.

Request a pilot

05 / SECURITY & TRUST

AI safeguards are essential.
They are not the final authority.

A jailbreak or prompt injection may change what an AI agent attempts. AITAPP is designed to independently govern whether a resulting action is authorized.

Independent controls can contain unauthorized actions when properly integrated into the enforcement path.

MODEL SAFETY

What an AI should attempt

Model-level constraints and safeguards guide generated behavior and requested actions.

AITAPP AUTHORITY

What a worker is allowed to execute

Independent policy and delegated limits determine the authority of actions in governed workflows.

06 / ENTERPRISE PILOTS

Test authority. Measure the outcome.

Evaluate a defined consequential workflow with clear boundaries, controlled exceptions and measurable results.

01Choose a workflowIdentify participants and the action to govern.

02Define authoritySpecify permissions, requirements and human approval.

03Test exceptionsExercise missing evidence, changed facts and unauthorized actions.

04Measure resultsEvaluate enforcement, escalation, latency and evidence quality.

Pilot scope, integrations, evaluation criteria and any commercial agreement are determined jointly. External deployment is subject to technical and security review.

07 / GET INVOLVED

There’s a place for you
in the next chapter.

Join the free personal early-access list, or explore a structured enterprise pilot.