AI audit: start with your processes
AI creates value through everyday work. An audit examines tasks, information and decisions to identify applications worth testing and the conditions your organisation needs before moving forward.
Explore ↗UNDERSTAND · DECIDE · ACT
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Start from real work and move forward with a method.
Build an AI roadmap
An AI strategy connects business ambitions to decisions that can be implemented. It organises initiatives, resources and responsibilities so teams can coordinate their priorities and tools.
Explore ↗Integrate AI into your team's work
An integration becomes useful when it fits a real workflow. Tool connections, information access and approvals need to be organised so the team can use and supervise it.
Explore ↗Train your teams for practical AI use
Useful training starts with the tasks participants need to perform. It teaches them to prepare a request, review an output and recognise when a colleague or an established method is still needed.
Explore ↗Manage your AI projects from scope to operation
An AI project combines business decisions, technical choices and changing working practices. Project management coordinates these dimensions so everyone knows what is expected, what is blocked and what needs a decision.
Explore ↗Understand the budget for an AI project
Project cost depends on the process, tools and expected level of review. Comparing options means examining what is included at the start and what will still need funding during use.
Explore ↗One process. One next step.
Start with your daily work to decide what is worth checking together.