Use-case discovery
Examine workflows, information needs and repetitive handling to find where AI or simpler automation would help.
AI consulting is independent advice on where artificial intelligence can improve your organisation's work and what has to be in place to use it safely. Umbrella Tech helps Australian organisations find suitable use cases, check data, security and integration requirements, and turn the best options into a prioritised roadmap or proof of concept. You finish with a clear direction your leadership can approve and your team can deliver.
Interest in AI often runs ahead of a clear business problem. Without an accountable owner, suitable data and agreed measures of success, a promising idea stalls as a demonstration or creates risk nobody has assessed.
You receive an AI direction grounded in your business requirements: a short list of use cases worth pursuing, the dependencies each one carries and how success will be judged. Where AI is not the right answer, we say so and suggest the simpler fix. Each recommendation maps to a service across our AI & Automation work, so the next step is clear.
Examine workflows, information needs and repetitive handling to find where AI or simpler automation would help.
Assess data quality, permissions, integrations and platforms such as Microsoft 365 Copilot, Copilot Studio and Power Automate.
Identify privacy, security and human oversight requirements before anything is built.
Prioritise opportunities and define a proof of concept or implementation path with owners and success measures.
AI tools are only as well governed as the information and identities behind them. We check who can see what, how sensitive information is labelled and which acceptable-use rules apply, and we connect the roadmap to your Governance & Compliance obligations. If you are considering ISO/IEC 42001, the international standard for AI management systems, we show what the roadmap should include.
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AI consulting helps an organisation decide where AI fits, what it depends on and how to adopt it with control. You do not need to choose a product first: starting with the workflow makes it easier to compare platforms, integrations or a non-AI improvement.
When staff are already experimenting with AI tools, when leadership wants a plan before buying licences, or when a specific process looks like a candidate for automation. Advice is most useful before licences are bought or data is connected.
After the roadmap, implementation can include a proof of concept, integration with your business systems, Microsoft 365 Copilot deployment and staff training. Each stage is designed, tested with real users and handed over with documentation.
It depends on the number of use cases, the systems involved and how readily we can reach the people and information needed. We confirm scope and timing during discovery, before the engagement starts.
Information access, handling of personal and confidential data, human review of AI outputs and clear accountability for each tool. We address these in the roadmap so they are designed in rather than added later.
Tell us which process or decision you want AI to help with and what must stay under your control. We will help you define a practical starting point.