AI
AI readiness checklist for SMEs: 12 questions to answer before you spend
A free AI readiness checklist for small and medium businesses. Answer 12 questions on value, data, people and risk to see where AI will pay off first.
5 min read
AI consulting
AI consulting that starts with a readiness assessment
AI projects go wrong when they start with a tool instead of a problem. Magz reviews your processes, data and systems, ranks the AI use cases by value and effort, and helps you build the first one properly.
When it helps
Is your business ready for AI?
An assessment is worth doing when AI is on the agenda but nobody can say yet where it will pay off.
- Leadership wants an AI plan but nobody knows where to start.
- Your team already uses AI tools informally and you want it done safely.
- A vendor is pitching an AI product and you want an independent view.
- Your data is spread across systems and you are not sure it is usable.
- You tried a pilot that never made it into daily work.
What the assessment covers
A clear answer on where AI fits, and where it does not
Process review
Interviews with the people doing the work, to find tasks where AI saves real time.
Data and systems check
Where your information lives, how clean it is and what can be connected safely.
Use case ranking
Each idea scored on value, effort, risk and time to results.
Risk and governance
Privacy, security and quality checks, including where a person must stay in the loop.
Build or buy advice
Whether an off the shelf product, a custom build or no AI at all is the right answer.
Pilot plan
A written plan for the first pilot, with success measures agreed up front.
How it works
From questions to a working pilot
- 01
Discovery call
We learn about your business, your goals for AI and the tools you already use.
- 02
Assessment
Interviews, a review of your systems and data, and research into the options for each use case.
- 03
Report and workshop
A written report with ranked use cases, presented in a working session with your team.
- 04
Pilot
If you want to go ahead, we build the top use case, test it with real users and measure the results.
FAQ
AI consulting questions
- What do we get at the end of the assessment?
- A written report with your ranked AI use cases, the effort and risks of each, recommended tools and a plan for the first pilot.
- Do we need clean data first?
- Not necessarily. Part of the assessment is checking what you have. Some use cases work with documents and emails as they are, others need groundwork first, and the report says which.
- Which AI models and tools do you use?
- Whatever fits the use case, including commercial models, open source models and the AI features already inside your tools.
- Is our data used to train AI models?
- Where possible, we choose providers and settings that keep your data out of model training, and we document where your data flows.
- Can you build what the assessment recommends?
- Yes. Magz builds AI features, automations and integrations, so the plan and the delivery come from the same place.
Related services
- AI automationWorkflows, integrations and AI agents that remove manual steps from your day.Learn more
- Data solutionsPipelines, databases and dashboards, including graph databases for connected data.Learn more
- Fractional CTOTechnology leadership for a few days a month: architecture, roadmap, vendors and hiring.Learn more
Further reading
IAIn Portuguese
IA e LGPD: como usar inteligência artificial na empresa sem colocar dados pessoais em risco
Guia prático de IA e LGPD para PMEs: bases legais, fornecedores, transferência internacional, decisões automatizadas, incidentes e o marco legal da IA.
7 min de leitura
Contact
Tell us where technology is slowing you down.
Message us on WhatsApp or email with a short note about your business and what you would like to improve. We usually reply within one business day.
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+61 449 198 018