
AI Opportunity Review
Identify repeated tasks and information bottlenecks worth investigating.
Websites, online stores and design that bring your business to life.
Let’s find your fitConnect your business with the people who are looking for it.
Let’s find your fitPractical AI for your customers, your team and your everyday work.
Let’s find your fitChoose an industry group, then the business type that best fits.
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A clearer view of AI. A sensible place to start.
DonutLabs helps Australian businesses decide where AI can be useful. Review your workflows, systems and priorities, then build an implementation plan around a specific business need.
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Choose the support you need. We agree the deliverables and responsibilities before work begins.

Identify repeated tasks and information bottlenecks worth investigating.

Consider available data, integrations, team skills and operational constraints.

Compare potential value, effort and risk before choosing a starting point.

Define a practical pilot, responsibilities and measures for reviewing the result.

Start with a real task in your business. We assess where AI could help, where simpler automation fits, and what needs to stay with your team.

Bring your tools, information and processes into one clear review. Identify gaps that could affect an AI assistant or automated workflow before implementation begins.

Turn the priorities into a manageable first step, with a defined scope, a responsible owner and a clear way to judge whether it is useful.
Choose work worth improving, agree how to measure it and give people clear ownership.
Leaders in the 2024 Work Trend Index worried their leadership lacked a plan and vision for implementing AI.
AI users surveyed in 2026 said their leadership was clearly and consistently aligned on AI.

A practical plan. Room for your feedback.
Here’s how we approach ai consulting, with you involved along the way.
Let’s plan your projectUnderstand the current process, systems and constraints. Identify useful opportunities and the information needed to assess them.
Compare value, effort and risk. Define an achievable scope and the people responsible for decisions.
Set out the pilot, testing and review steps. Implementation is scoped once the approach is agreed.
The agreed output can include a workflow review, prioritised opportunities and an implementation roadmap. We define deliverables before starting.
No. We start with the work and constraints, then compare suitable approaches. Sometimes a simpler process change is the better starting point.
Implementation can be scoped as a separate stage after feasibility and priorities are clear.
We consider time spent, task frequency, data quality, review needs and implementation costs. A pilot can test assumptions before a broader rollout.
Pricing depends on the agreed deliverables, complexity and any ongoing support. We review your requirements and provide a proposal that identifies the scope and relevant third-party costs.
AI consulting starts with understanding what you need.
Bring your ideas, existing material or the problem you are trying to solve. We’ll work through it together.