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How it works

Analyze. Advise. Build.

Three steps. Start at any one. We recommend starting with Analyze.

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Analyze

An honest look at your business and data, before you spend on AI.

Time
Score: about 3 minutes. Startup audit: one 45-minute call. Deep-dive: 2 to 3 weeks.
Best for
Teams about to spend on AI, or whose numbers don't match.
You bring
View-only access to the tools we look at.
It isn't
A sales pitch, a generic checklist or a compliance certificate.

What you get

  • AUXO Score

    No charge

    10 questions and a score out of 100. About 3 minutes, no sign-up.

  • Startup audit

    Seed to Series B

    Your AUXO Score, a 45-minute founder call and a one-page plan.

  • Deep-dive audit

    Paid

    We review your systems under NDA. You get each fix rated by urgency, a plan of what to build first and a short readout for your leaders.

Advise

The right AI for your team, and a plan to get there.

Time
1 to 3 weeks, often right after the deep-dive audit.
Best for
Teams with too many AI options and no plan.
You bring
The people who own the decisions.
It isn't
Endless consulting or a sales pitch for a vendor. Referral fees never decide what we recommend.

What you get

  • Plan

    What to do first, what comes next, and where AI helps.

  • Tool choice

    A short list of tools that fit, and the ones to skip.

  • Clear rules

    Who owns which data, who checks the AI's work, and who has access.

  • Ongoing advice

    Optional

    A founder on call for big decisions, monthly.

Build

Your data and AI tools, set up end to end and handed over.

Time
One tool: 1 to 2 weeks. A data foundation or agents: 4 to 12 weeks.
Best for
Teams who know their first job for AI and can share their data.
You bring
One named owner for each tool and agent.
It isn't
A black box, a rented system or a stalled pilot.

What you get

  • Data foundation

    One clean, checked set of numbers from the tools you use, with reports where they help.

  • AI tools

    Tools from our marketplace, set up in your accounts, on your data.

  • AI agents

    Agents for one job, such as month-end close or outreach. A named person approves their work.

  • Handover

    Guides, training, and everything in your name.

Built to last, and yours to keep.

We use AI tools to build, then check and test everything before handover.

Managed upkeep

Optional, after Build

We keep it running after handover. Monthly, no minimum term. Stop with 30 days' notice and keep everything.

The method

Five checks behind every audit.

Every score and audit uses the same five checks. Here they are.

  1. 01

    Accurate

    Is the data correct?

  2. 02

    Complete

    Is anything missing?

  3. 03

    Consistent

    Does it agree across systems?

  4. 04

    Timely

    Is it current when you need it?

  5. 05

    Trusted

    Do people rely on it to make decisions?

FAQ

Questions about how it works

Will it fit the tools we run?

Yes. We build on what you already use, such as Google Cloud, Azure, Snowflake or Power BI. If a tool works, we keep it.

Do we have to start with Analyze?

No, but we recommend it. AI on untidy data gives untidy answers. If you know what you need, start at Advise or Build and we'll check the data as we go.

Why can't Claude, ChatGPT or an agent we already have do this?

Often it can do part of it. The AI is rarely the hard part. The hard part is clean data, the right connections, clear rules and keeping it running. That's our work, and we can use Claude or ChatGPT to do it.

Read the longer answer

Who owns what you build?

You do. Everything is in your name, and tools run on your own contracts. No lock-in.

Do your AI agents act on their own?

No. Agents draft, sort and flag. A named person approves their work. Nothing is sent, posted or paid without a person's say-so.

Start with an honest read.

Leave knowing where to start.

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