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.
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?
How does the assessment run?
Typical timings; your Schedule of Work sets the real ones.
Development Consult
A short phone call with our team about your AI ideas and whether we are the right fit to help.
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.
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.
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.
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.
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?
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
A written audit, typically fifty to seventy pages. It covers a ranked register scoring each use case on value, feasibility, data readiness and risk; the data each use case depends on; risks across twelve categories, assessed against seventeen standards; the legal questions identified for your lawyer to confirm; dependencies and a recommended build order; and the case for building it. After two strategy sessions you also receive a fixed price Schedule of Work for the first build.
Our AI readiness assessment is the Discovery Audit for AI projects. It is a fixed fee, credited in full against the build. After the audit you get a fixed price Schedule of Work with three options: The Minimum, The Recommended and The Complete. The option you choose is paid in three stages against work you have accepted. We never publish day rates.
The Discovery Audit Meeting and the Discovery Audit Session are 60 minutes each. You receive the written audit within seven days of your answers, then we walk you through it in two strategy sessions. The most common cause of delay is waiting for data samples and system documentation, so we ask for those early.
No. The audit is yours to keep whoever builds, and it is written so another supplier or your own team could build from it. We offer a fixed price Schedule of Work for the first build because it is the natural next step, but the decision to go ahead is yours.
A strategy workshop usually produces ideas and themes. This assessment tests specific use cases against your actual data, systems and obligations, and ends with a scoped, buildable plan. The people who assess it are the people who would build it.
A sponsor who can make decisions, around an hour each from the people who run the candidate processes and the relevant systems, representative data samples provided under NDA, and a named contact in IT or security for access questions. We keep the time burden on your staff deliberately small.
It covers what affects feasibility and design: personal information involved, the Privacy Act questions your lawyer should confirm, including the automated decision making disclosure from 10 December 2026, residency constraints and human oversight needs, with a baseline against the six practices in Australia's Guidance for AI Adoption. It is not a legal review or a compliance certification. For a fuller governance programme, see our AI governance service.
Rates across the Australian AI consulting market vary widely with firm size and seniority, so compare what you hold at the end, not only the rate. We do not charge by the hour or the day. Our AI readiness assessment is the Discovery Audit, a fixed fee credited in full against the build. After it you get a fixed price Schedule of Work with three options: The Minimum, The Recommended and The Complete.
Each candidate use case is scored on four dimensions: value, feasibility, data readiness and risk. Alongside that we baseline your organisation against the six practices in Australia's Guidance for AI Adoption and note the Privacy Act obligations that shape the design. The output is a recommendation per use case to pursue, park or drop, with the evidence behind it.
Often, yes, focused on one or two use cases. The Discovery Audit is a fixed fee, credited in full against the build. For a small business with a single clear idea, an initial call may be enough to establish that an off the shelf tool already does the job, and if so we will say that rather than sell an assessment.
A self assessment questionnaire, such as those published by cloud vendors, is a useful way to start the conversation internally. It tells you how ready you feel in general; it cannot tell you whether your particular data supports a particular use case, what the work will cost or what could go wrong. Our assessment samples your real data under NDA and ends with a scoped, buildable plan.
You choose one of three options in a fixed price Schedule of Work: The Minimum, The Recommended or The Complete. The assessment fee is credited in full against that build, and the option you choose is paid in three stages against work you have accepted. Senior engineers lead every build, and you get updates every Tuesday and Friday, Sydney time. If you decide not to build, the written audit is still yours.
Yes, and a stalled pilot is a common reason to commission one. We score the pilot's use case on the same four dimensions as any other, value, feasibility, data readiness and risk, and look at why it has not reached production: data quality, integration gaps, unclear ownership or no way to measure whether it works. The output is a recommendation to fix, rescope or drop it, with the evidence behind it.
Start with a Development Consult, a 15 minute phone call or a Zoom with Andy. If the assessment suits, it runs as a Discovery Audit Meeting and a Discovery Audit Session of 60 minutes each. You receive the written audit within seven days of your answers, followed by two strategy sessions to walk through it. We reply to every enquiry within one business day, Sydney time.
Guides and related reading
- ExplainerAI for small business in Australia: where it helps, what it costs and how to start safely
- How to guideHow to measure the ROI of an AI project
- How to guideHow to prepare your data for AI: a readiness guide for Australian businesses
- Australian regulationAustralia's Guidance for AI Adoption: the six essential practices explained
- Cost guideHow much does AI development cost in Australia? (2026 guide)
- Buyer's guideHow to choose an AI development company in Australia
- ExplainerWhat is a discovery phase in software development?