AWLabs
Home / Services / AI & Data

Find Out Where AI Will Pay Off Before You Build Anything

Our AI readiness assessment is the Discovery Audit for AI projects. It tests your AI ideas against your real data, systems and obligations before you commit to a build. It is a fixed fee, credited in full against the build.

What does an AI readiness assessment involve?

An AI readiness assessment evaluates an organisation's candidate AI use cases against its data, systems, security and privacy obligations, and delivery capacity, and states which use cases to pursue, in what order, and which to drop. At AWLabs it is delivered as the Discovery Audit for AI projects.

Most organisations have more AI ideas than they can fund, and little evidence about which ones will work. The ideas that sound best in a workshop are often the ones whose data is scattered across spreadsheets, locked in a system with no API, or too sensitive to send to a hosted model. The quiet, unglamorous ideas, such as extracting fields from a form the business processes thousands of times a month, often have the clearest return. An AI readiness assessment sorts one from the other with evidence rather than enthusiasm. Every AI build starts with a Discovery Audit. It is a fixed fee, credited in full against the build. We map the scope, the risks and the standards that apply, then walk you through it in a strategy session. You keep the audit whoever builds it.

This is AI consulting done by the people who build. We work through your candidate use cases with the people who own the processes. For each one we look at the value at stake, the data it depends on (where it lives, its quality, who can access it and whether it can lawfully be used for the purpose), the systems it must connect to, the risk if the AI gets it wrong, and whether an existing product already solves it.

We sample real data under NDA rather than relying on descriptions, and where the top use case has a genuine technical question, such as whether a model can read your particular documents, we scope a small, time boxed spike to answer it as the first stage of the build. We also note your obligations that shape the design, including the Privacy Act 1988 and the automated decision making transparency requirements in APP 1 that commence on 10 December 2026, and set a baseline against the six practices in Australia's Guidance for AI Adoption.

You receive a written audit within seven days of your answers: the scope, the risks, the data each use case depends on, the standards it was assessed against and a recommended build order. In two strategy sessions we walk you through it, then give you a fixed price Schedule of Work with three options: The Minimum, The Recommended and The Complete. You keep the audit, and you can take it to another supplier or build in house.

AWLabs is a Sydney based AI and software development company for growing businesses and enterprise. Sister company to All Webbed Up, a separate websites and marketing company.

Senior engineers lead every build and review every change
Your code and IP assigned to you on payment
Comprehensive documentation included
Care Plan support after launch
Australian company, Sydney business hours
Security built to fit your risk

Why have builders run your assessment?

One Known Fee, Credited to the Build

The Discovery Audit is a fixed fee, credited in full against the build. There is no drift into months of workshops. If we find something that needs deeper work, it goes into the build scope as a separate item.

A Ranked Opportunity Register

Every candidate use case is scored on value, feasibility, data readiness and risk, with the reasoning written down. You get a clear order of work, and an explicit list of ideas to park or drop, which is often the most useful part.

Evidence From Your Real Data

We sample the actual records, documents and system exports each use case depends on, under NDA, instead of relying on how people describe them. Data gaps surface now, when they are cheap to plan around, rather than halfway through a build.

Risks and Obligations Named Early

For each use case we record what happens if the AI is wrong, which personal information is involved, whether a decision could trigger the Privacy Act automated decision making disclosure, and what human oversight is needed. The design starts with those constraints.

A Spike Where It Counts

When the top use case hinges on a technical unknown, such as whether a model can reliably read your forms, we scope a short, time boxed experiment on sample data as the first stage of the build. You get a measured answer before committing the rest of the build budget.

An Audit You Keep

The audit is yours to keep whoever builds. It is written so a board can approve funding from it and so another supplier or your own team could build from it. After two strategy sessions you receive a fixed price Schedule of Work for the first build, with three options: The Minimum, The Recommended and The Complete. The decision to go ahead is yours.

What technologies do we use for an AI readiness assessment?

Use case scoring matrixData sampling and profilingPythonSQLJupyterAnthropic ClaudeOpenAI modelsOpen weight modelsAmazon BedrockMicrosoft Foundry (formerly Azure AI Foundry)Gemini Enterprise Agent Platform (formerly Vertex AI)Microsoft 365 CopilotPrivacy impact assessment templatesArchitecture diagrams (C4)

How does the assessment run?

Typical timings; your Schedule of Work sets the real ones.

01
Short call

Development Consult

A short phone call with our team about your AI ideas and whether we are the right fit to help.

02
60 minutes

Discovery Audit Meeting

60 minutes on Zoom with Andy. We collect your candidate use cases, including the ones people mention in passing, and agree who we need to hear from and which sample data we need under NDA. The Discovery Audit is a fixed fee, credited in full against your build.

03
60 minutes

Discovery Audit Session

60 minutes on what you need built. We map how each candidate process runs today, the data it depends on, the systems it must connect to and where errors hurt. We note residency constraints and questions for your privacy adviser.

04
Within seven days of your answers

Written Audit

We score every use case on value, feasibility, data readiness and risk, compare build, buy and configure options, and assess risks across twelve categories against seventeen standards, including Australia's Guidance for AI Adoption. Where a technical unknown would drive the price, we flag a short spike for the build scope.

05
Walkthrough

Strategy Session One

We walk you through the audit and the build scope, and answer challenges. Where the right answer is an off the shelf tool or doing nothing yet, we say so.

06
Your fixed price

Strategy Session Two

You receive your fixed price Schedule of Work with three options: The Minimum, The Recommended and The Complete. You decide whether to go ahead.

Who should commission an AI readiness assessment?

Professional & Legal ServicesAccounting & AdvisoryFinancial Services & InsuranceConstruction & TradesLogistics & TransportHealthcare & Aged CareNot for ProfitsGovernment & Agencies

Is an AI readiness assessment right for you?

When it is the right fit

  • You have several AI ideas and need evidence about which to fund first
  • Leadership wants a defensible plan before approving an AI budget
  • You suspect data quality, access or sensitivity may limit what is possible
  • You operate under privacy, residency or sector obligations that will shape any design
  • You want a fixed price for the first build rather than an open ended estimate

When it is not the right fit

  • You already have one well defined use case with known data; start with a Discovery Audit on the service page that matches that build
  • You mainly want staff to use a licensed assistant; a Copilot or ChatGPT Enterprise rollout plan is the better fit
  • You need a legal opinion or compliance sign off; that is work for your legal and privacy advisers
  • You are looking for a certification such as ISO/IEC 42001; that requires an accredited certification body
  • No one in the business can make time for interviews or provide data samples in the next month

AI Readiness Assessment: a quick glossary

AI Readiness
How prepared an organisation is to use AI for a specific purpose, judged on its data, systems, skills, governance and risk appetite for that use case, not in the abstract.
Discovery Audit
The first paid step of every AWLabs build, a fixed fee credited in full against the build. It maps scope, risks, standards and build order, and is followed by two strategy sessions and a fixed price Schedule of Work with three options.
Opportunity Register
A list of candidate AI use cases, each scored on value, feasibility, data readiness and risk, with a recommendation to pursue, park or drop.
Data Readiness
Whether the data a use case needs exists, is accessible, is of adequate quality and volume, and can lawfully be used for the intended purpose.
Technical Spike
A short, timeboxed experiment built to answer one technical question, such as whether a model can reliably extract fields from a particular document type, before committing to a full build.

Common questions about the AI readiness assessment

Start with a conversation

Tell us what you need built.
We'll tell you straight if we're the right fit.

Book a call, and we'll show you how we would approach it.

Start with a short Development Consult
Audit fee credited to your build
Response within 1 business day
Mutual NDA sent before you share your idea