Draft 3.1 for review. Not published.
A city of towers, rivers and waterfalls sheltered under a vast glass dome while a storm rolls in outside. On a rocky ledge in the foreground, the AI Prepper sits relaxed with a coffee mug, a laptop and his yellow equipment case.

AI SYSTEMS CONSULTING

AI should make your business stronger. Not easier to break.

We help businesses build practical AI systems, organize company knowledge, and put sensible safeguards in place.

Get Your AI Systems Plan

10-minute intake. One-page plan and fixed price within two business days. No sales call.

THE PERSON BEHIND DOOMPROOF AI

Real experience. Practical systems. No nonsense.

“I’m interested in AI that actually works, not AI that trades ordinary problems for fancier ones.”

Founder, Doomproof AI

I designed a multi-agent AI platform and directed four AI agents to build it.

I’m not a programmer. My role was to design the system, direct the work, and verify the results.

AI agents directed
4
Records processed
150,000+
Files organized
100,000+

Former COO and business operator · AI Systems Strategist · AI memory development for home robots

More about the founder

The real risk isn’t that AI makes mistakes. It’s what happens when those mistakes go unchecked.

The biggest AI risks inside a business usually are not science fiction.

They are ordinary mistakes happening faster, at greater scale, and with more access than they should have.

  1. Diagram: an AI connected to CRM, finance, HR and operations reaches past a wall into restricted data.
    01

    An agent has access to too much.

    It can reach files, customer information, applications, databases, or live systems it never needed to do its job.

  2. Diagram: an AI's change goes around an approval step straight into a live system.
    02

    It changes something before anyone approves it.

    A file gets overwritten. A record gets updated. A message gets sent. A configuration gets changed. By the time someone notices, the action has already happened.

  3. Diagram: outdated and conflicting information flows into an AI alongside current documents, producing incorrect output.
    03

    It works confidently from the wrong information.

    The AI is using outdated files, incomplete context, conflicting instructions, or information nobody can trace to a reliable source.

  4. Diagram: stacks of company documents scattered across email, chat, cloud storage, team docs, personal files and other tools, with broken links between them.
    04

    Important company knowledge gets trapped in the wrong places.

    Critical context gets scattered across employee accounts, chat histories, disconnected tools, and vendor-controlled memory instead of becoming an asset the business can organize and control.

  5. Diagram: one mistake branches out and is copied across a growing number of files.
    05

    A small mistake gets automated into a large one.

    A bad manual decision affects one thing. A bad automation can repeat the same mistake hundreds or thousands of times before anyone notices.

  6. Diagram: a file changes three times before a problem is detected, and the path back to the original is broken.
    06

    Something breaks. There is no clean way back.

    No useful backup. No version history. No approval trail. No isolated workspace. No obvious way to undo what the AI changed.

Four questions every business should answer before giving AI more responsibility.

  1. 01

    What should the AI know?

    Company-controlled knowledge, clear sources, and information you can maintain.

  2. 02

    What should the AI be allowed to touch?

    Defined permissions and boundaries around files, applications, and systems.

  3. 03

    What happens when the AI is wrong?

    Approvals, validation, and safeguards to reduce the chance of mistakes spreading.

  4. 04

    How do we get back?

    Backups, versioning, and practical recovery procedures.

See the two services

Practical AI systems for the way your business works.

Doomproof AI currently focuses on two areas where businesses can gain meaningful AI capability without creating unnecessary operational risk.

Illustration: documents, emails, databases, team knowledge, cloud storage and other tools feed into one organized core labeled Your Company Brain.

COMPANY KNOWLEDGE

AI Memory / Company Brain

Give your AI business knowledge your company controls.

Turn scattered files, context, and institutional knowledge into an organized memory system that can remain useful across conversations, tools, employees, and AI platforms.

Explore the service
Illustration: a small robot agent works at a laptop inside a yellow-framed enclosure labeled AI Agent Workspace.

AGENT CONTROL

AI Agent Workspaces & Guardrails

Give AI agents room to work. Not the keys to the kingdom.

Create controlled environments with deliberate permissions, approval rules, backups, recovery paths, and separation from systems an agent should not be able to change freely.

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Get Your AI Systems Plan

You don’t need technical experience or a specific solution in mind.

THE DOOMPROOF PHILOSOPHY

Prepared beats panicked.

Good AI architecture assumes mistakes will happen.

The goal is not to pretend AI will never get something wrong.

The goal is to keep one AI mistake from triggering a worst-case scenario.

That is what being Doomproof means in practice: preventing what we can, containing what we can’t, and making sure there is a way back when something goes wrong.

In an office, a cheerful robot feeds papers marked client data, financials, strategy and operations into a shredder, while the AI Prepper calmly lifts a backup cartridge out of his yellow equipment case.
MEET DOOMPROOF AI’S MASCOT The AI Prepper. He prepares for the apocalypse.
We prepare businesses for what actually goes wrong.

Start with a clear plan.

A practical first step, without a sales call.

  1. 0110-minute written intake
  2. 02One-page plan and fixed price
  3. 03Delivered within two business days
Get Your AI Systems Plan