Loading Vauntico...

FOUNDER-REVIEWED MANUAL PILOT · DIRECT-LINK EXPERIMENT

Your agent can write to production.Could you reconstruct its last high-risk action?

A manual discovery service for one live production AI-agent workflow, designed to test whether agent accountability is a real operational pain before building software.

One review scope · No account required · Fit confirmed before payment

Who this is for

A founder, CTO, or engineering lead already running an AI agent that can perform consequential actions such as database writes, refunds, payments, deployments, account changes, CRM mutations, or external API calls.

The trigger

Your agent is doing real things and you are not fully comfortable with who can do what, what happens when something goes wrong, or how you would reconstruct it afterward.

What Tyrone actually does

Review one live agent workflow and the operational material you provide. Map its tools, affected systems, permissions, human owner, approvals, autonomous actions, logs, and reconstruction gaps.

What you receive

  • · An evidence map for the selected agent action.
  • · What can and cannot currently be proven after an incident.
  • · Recommended evidence and approval improvements for that workflow.

What this does not claim

  • · It does not promise zero agent failures or prevention of unauthorized actions.
  • · It is not cybersecurity or compliance certification.
  • · It is not a cryptographically secure control plane or an autonomous-agent safety guarantee.

The manual review

A bounded evidence review for one decision in front of you.

Tyrone reviews the material and scope you provide, then keeps support, uncertainty, and missing evidence visible.

01

Name the scope

Start with one vendor claim or one live agent workflow—not a promise to assess everything.

02

Map what exists

Separate claims, sources, permissions, approvals, logs, and context from interpretation.

03

Make the next question clear

Receive a concise evidence map, open gaps, and questions that belong with the vendor or your own team.

Illustrative example

See the shape of the output before you ask for a review.

Agent action: “Issue refund up to $500.”

Tool permission

Fictional refund tool permits refund_create with a $500 limit.

Human approval state

No approval record is visible in the fictional action record supplied for this example.

Reconstruction ability

The action timestamp and refund ID are present; the policy context and responsible human decision are missing.

Recommended next step

Record the request, policy, owner, human decision and rationale, executed tool call, and result together.

Illustrative, fictional, not customer data, and not a real agent engagement.

Ask for a fit review

Have one live agent workflow to examine?

Send the smallest useful context. Do not send secrets, credentials, private keys, access tokens, or unnecessary customer data. Tyrone will confirm scope and fit before any payment.

Manual discovery only

This page tests whether the problem is worth building software for. It is not an automated control plane, certification, legal advice, or guarantee.

We'll only use your details to reply to this inquiry.