Pax Equitas
Skip the opening
  1. 01 · FragmentsEvidence, documents, communications, claims, approvals — arriving out of order, from everywhere.
  2. 02 · SignalEach fragment is read, typed, and tied to the organization it belongs to — nothing ambient.
  3. 03 · StructureStructured and connected under one identity, one permission set, one organization boundary.
  4. 04 · DecisionAn AI role drafts. Nothing proceeds on its own.
  5. 05 · Human controlA person approves. The action is written to an append-only audit — actor, organization, target, timestamp.

Pax Equitas

The Control Plane for AI-Operated Organizations

Pax Equitas does not compete with frontier AI. It makes frontier AI governable inside a real organization — with the authority, boundaries, institutional context, verification, and accountability it takes to entrust it with real work.

Proven in production, October 2026: an AI agent's bounded change reached production under company-owned authorization, an external system enforced it, and a separate identity verified it.

See it working

Two products at work.

Short examples made with sample data. Each one ends with the real next step.

Search Intelligence: Watch the 38-second example

Example with sample data. A short silent film with English captions. Real results use your own data.

Read the transcript
  1. 0:00Search Intelligence. Ask your AI assistant what changed in your Google traffic.
  2. 0:03You type a question: "What changed in my Google traffic over the last 28 days?"
  3. 0:06Example with sample data. The assistant reads the sample website's Google search data and answers in plain words: clicks fell 21.3%, starting Oct 8.
  4. 0:12Clicks in the last 28 days: 1,285, from 1,632 before (−21.3%).
  5. 0:17A chart draws the daily clicks. The drop begins on Oct 8: about 58 clicks a day before it, about 37 a day after.
  6. 0:25Pages that moved most: /roof-repair-cost went from 420 to 268 clicks.
  7. 0:28Searches that moved most: "roof repair cost" went from 188 to 101 clicks.
  8. 0:31Search Intelligence is read-only: an AI assistant can read this data and cannot change anything.
  9. 0:35Early access. Plans and prices are planned for launch. Example with sample data.

Call Sheet: Watch the 40-second example

Example with sample data. A short silent film with English captions. Real results use your own data.

Read the transcript
  1. 0:00Call Sheet: Example Roofing Co. is named in 4 of 12 sample answers.
  2. 0:04Example with sample data. Two sample questions about roofers in Anytown are each asked of ChatGPT, Claude and Perplexity, twice.
  3. 0:11Each sample answer is checked for the business name. A gold block means the answer names Example Roofing Co.
  4. 0:16Named by ChatGPT in 1 of 4, Claude in 1 of 4 and Perplexity in 2 of 4 answers.
  5. 0:21In the 8 answers that left it out, Roofer A was named in 8 of them, Roofer B in 5 and Roofer C in 5.
  6. 0:27ChatGPT sample answer: does not name Example Roofing Co. Named instead: Roofer A, Roofer B.
  7. 0:30Perplexity sample answer: names Example Roofing Co. Also named: Roofer A, Roofer B.
  8. 0:34Now check your own business. The free check is linked below. No sign-up needed. Example with sample data.

Where the lines are

Five parts. Hard lines between them.

Intelligence, authority, execution, and verification are different things, held by different parties. Pax Equitas supplies none of the intelligence and all of the organizational layer around it.

  1. 01

    Frontier AI

    Intelligence

    Reasoning, generation, and the capability to execute. It improves on the vendors' schedule, not ours. Pax Equitas builds none of it and competes with none of it.

    Supplied by the model vendors

  2. 02

    Pax Equitas

    The control plane

    Identity and authority, bounded authorization, policy and operational boundaries, institutional memory, execution evidence, and the durable record of the company — the organizational layer a model does not carry with it.

    Owned and operated by Pax Equitas

  3. 03

    Pax Governance

    Governance and institutional memory

    The layer that knows the organization: its tasks, its decisions, who is authorized to do what, what was executed, and what was verified. Pax Governance runs no model. It governs how a model's work enters the company.

    Owned and operated by Pax Equitas

  4. 04

    Agents

    Bounded execution

    AI executors with a registered identity, acting under an authorization limited to one task, one action, one exact target, and one expiry. An agent can ask for authority. It cannot grant it, and it cannot mark its own work verified.

    Vendor runtimes, under identities registered with Pax Equitas

  5. 05

    Verification

    Independent confirmation

    A different identity checks the outcome against evidence from the systems where the work landed — never against the agent's own report — and records every check, pass or fail. An agent can never mark its own work verified; only an independent check or an authorized person can.

    Operated by Pax Equitas, separate from every agent

Use the most capable AI models in the world. Pax Equitas gives them the authority, boundaries, institutional context, verification, and accountability required to operate inside a real organization.

How Pax Governance works

Ask. Authorize. Execute. Verify. Record.

Work that Pax Governance oversees moves through the same five steps. One of them can only be taken by a person, and every one of them leaves a record.

  1. 01 · Ask

    Work enters as a task.

    A person or an agent proposes a task with an objective. An agent can propose and report under its own signed identity. It cannot approve anything, including itself.

    Task record · registered agent identities

  2. 02 · Authorize · Human

    A person grants one bounded authorization.

    The decision — yes, no, or discuss — is recorded with what was asked and why. A yes authorizes one registered agent to take one action, for one task, on one exact target, until one expiry. It can be revoked.

    Founder decision record · action authorization · revocation

  3. 03 · Execute

    The external system refuses what is not authorized.

    When a change is proposed or updated, the system where it will land asks Pax Governance whether this agent holds a live authorization for exactly this version. Wrong task, wrong agent, wrong version, revoked, expired: refused. A change accepted after a later revocation is caught at verification, not prevented.

    Required check (GitHub today) · decision record

  4. 04 · Verify

    A separate identity confirms the outcome.

    The independent check gathers evidence from the systems where the work landed — what changed, what went live, what the live system reports — and compares it with the authorization. Pass or fail, every check is written down.

    Separate verification identity · verification records

  5. 05 · Record

    The company keeps the record.

    Every step above was written as it happened: decisions, grants, check results, signed confirmations, verifications. The database refuses any edit or deletion of the governance records, so the history is append-only.

    Append-only records, enforced by the database

Pax Governance is the organizational intelligence and governance layer within Pax Equitas. It holds the company's tasks, decisions, authorizations, and evidence; governs what AI agents are authorized to do; records what was executed; and verifies the outcome. It runs no model of its own.

How Pax Governance works →Trust & governance →

Proof point #1

Proven on our own production system.

In October 2026 the loop ran end to end on the Pax Equitas platform itself. An AI agent made one bounded change to production under a company-owned authorization, an external system enforced that authorization, and an independent check recorded the result.

Read what was proven, and what was not →

  • No authorizationREFUSED
  • Wrong taskREFUSED
  • Wrong agentREFUSED
  • Wrong version of the changeREFUSED
  • Revoked authorizationREFUSED
  • Authorized agent, exact authorized versionACCEPTED

The system

One system, in one view.

Every governed role, and the platform that permissions, audits, caps, and can stop it. Drawn from the live catalog, not from a slide.

The decision path

How a decision moves through it.

Inside a product, the path one AI-drafted decision takes — and the point where the draft waits for a person.

  1. 01

    Fragments arrive

    Photos, policies, estimates, agreements, inquiries — from public intake, signed agreements, storm and roof feeds, and field staff, in no particular order.

    Public intake · agreement execution · storm and roof intelligence

  2. 02

    Read and typed

    Each fragment is tied to your organization before anything reads it. Access is default-deny, checked server-side on every request.

    Organizations & Teams — per-organization data, server-side checks

  3. 03

    One boundary

    Evidence, documents, and inquiries sit inside one organization's boundary — one identity, one permission set — before any role can touch them.

    One directory · one data boundary

  4. 04

    An AI role drafts

    A recovery position, a scope audit, a qualified intake — drafted, never final on its own. The recovery report cites its sources.

    AI Claims Assistant · AI Intake — granted permissions only

  5. 05 · Human review

    A person approves

    The draft waits for review. Regulated determinations are made by licensed professionals, and an unreviewed analysis cannot reach a customer.

    Review step on the report · approval before anything goes live

  6. 06

    Written to the audit

    Actor, organization, target, timestamp — appended, never edited. Any role can be paused or revoked in one action.

    Governance & Compliance — append-only audit, kill switches

AI Workforce roles are software — permissioned, audited, and stoppable systems, not employees, contractors, or legal persons.

Platform governance →Trust & governance →

The roles

Roles a frontier model can hold here.

Each role is a job description, a permission set, and a manager: you. The intelligence comes from the model. The authority, the boundaries, and the record come from Pax Equitas — inside your systems, under your brand if you want, and never beyond the authority you grant.

Hire it. Audit it. Cap it. Fire it.

Enterprises don’t fail with AI because models are weak — they fail because nobody can answer “what did it do, on whose authority, and how do we stop it?” Pax Equitas answers all three, in code.

Permissioned like an employee.

Default-deny, role-based access; an AI employee can only use permissions you granted, limited to your organization.

Audited like a transaction.

Every action writes an append-only audit record — who, what, when, and through which channel.

Capped like a budget.

Spend limits and daily caps are governed and displayed; automation ships default-off and fails closed.

Stoppable like a machine.

Kill switches and approval steps are built into the platform, not support tickets.

Nothing on this platform becomes purchasable, deployable, or reachable by payment alone. Only products verified as ready can be licensed, and approvals re-check every condition at decision time.

Peter Guzzi — Founder, Pax Equitas

Founder, Pax Equitas

Leadership

Meet the founder.

Peter Guzzi is a serial entrepreneur, business strategist, and sales executive whose career spans more than four decades of building, scaling, and leading organizations in insurance, financial services, education, franchising, and technology. He rose to national recognition at NASE and UICI, founded Educate America and USDigital, and today serves as the driving force behind Pax Equitas.

Peter Guzzi · Founder, Pax Equitas

Built where the work is hardest.

The AI Workforce was forged in insurance claims — one of the most regulated, adversarial, deadline-driven industries there is — and it carries that discipline everywhere else.

Put your brand on the workforce.

Agencies, resellers, and operating companies license the platform and offer AI employees under their own name — their domain, their logo, their client relationships. Pax Equitas stays in the engine room.

Private-label ready today

A platform you can build on.

Documented APIs, signed webhooks, versioned SDKs, and separate test environments. The same APIs power our own consoles — there is no private fast lane.

Pax Search Intelligence lets the AI clients you authorize read your organization's Google Search Console data, read-only. It is in early access: you can create an account and try it.

Someday you'll walk the office your AI employees work in.

We're building toward a spatial workspace — a command center you step into, where your workforce, portfolio, and operations surround you. Same platform, same permissions, same audit trail. It ships when it's real, not before.

Read about the spatial roadmap →

Put the best AI to work — on your authority.

Start with one governed role, or bring the whole control plane into your organization.

Request a Demo