Austial
03 / AI strategy and audit

Know what to build before you spend on it.

A short, paid audit that finds the AI work worth doing in your business, ranks it by return and tells you honestly what to build, buy or skip.

A bright meeting room with a whiteboard of diagrams

What you get

Four deliverables, written to be acted on.

  • 01

    Workflow and data review

    Where time and money leak, and which data is usable today.

  • 02

    Ranked opportunities

    Each idea scored on impact, effort, risk and time to value.

  • 03

    Build, buy or skip

    Vendor tools compared with custom work, with real cost estimates.

  • 04

    30-day roadmap

    A sequenced plan your team can start on Monday, with or without us.

What you get

  • A ranked opportunity list

    Each idea scored on value, effort and risk, with the first three picked for you.

  • Feasibility notes

    What your data, systems and team can support today, and what is missing.

  • A build plan for the first project

    Scope, milestones, risks and a fixed price you can approve or take elsewhere.

  • A readout session

    A live walkthrough for your leadership with time for questions.

How we build it

The patterns we reach for

The audit matches each opportunity to the simplest pattern that can do the job, so you do not pay for an agent where a single call will do.

OpportunityImpactEffortCall
Support ticket triageHighLowBuild
Product searchMediumMediumBuild
Meeting notesLowLowBuy
Demand forecastingHighHighLater
Illustrative scorecard. Your audit uses your numbers.
Sample output

A ranked list, not a slide deck

Every opportunity is scored the same way, so the order is easy to defend.

How the audit works

Scope and timing are confirmed in writing before we start.

  1. Stage 1

    Interviews and access

    Talk to the people doing the work and look at the real systems.

  2. Stage 2

    Analysis and prototypes

    Quick prototypes on your data to separate demos from real value.

  3. Stage 3

    Readout and roadmap

    A live walkthrough and the written report, with Q&A.

What we look at

Where time goes
Repetitive, rules-based work that people do by hand.
Data readiness
Whether the information an AI system needs exists and is reachable.
Risk
Privacy, accuracy and brand exposure for each idea.
Payback
A conservative estimate of cost against the metric you care about.

Who this is for

  • Leaders with many ideas and no order

    You want a defensible first bet instead of a scattered pilot list.

  • Teams that tried AI and stalled

    We find why, and what has to change before trying again.

  • Companies about to hire or buy

    Check the case before committing budget to tools or headcount.

Audit packageMost chosen
from $1,000

Fixed fee. Scope scales with company size and number of workflows.

Then
Build from $5,000

Take the top item on the roadmap straight into a Build package.

Frequently asked questions

What if the answer is that we should not use AI?

Then we say so. A clear no saves you more than a bad build, and the fee still buys you the roadmap for what to do instead.

Do we have to hire you to build it?

No. The report is yours and written so any capable team can execute it.

What access do you need?

Read-only access to the relevant systems and a few hours of your team's time, under an NDA if you want one.

Are we obliged to hire you to build afterwards?

No. The plan is written so another team could build from it. If you want us to build it, we can scope that on the readout call.

What do you need from us?

A few conversations with the people who do the work, access to examples of that work, and a sponsor who can decide at the end.

How long does an audit take?

It depends on how many workflows are in scope. We give a timeline on the discovery call and confirm it in writing.

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  • 01

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  • 02

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