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Practical answers on building AI capability

Functions AI for HR teams: five workflows to build first, and where a person must approve HR teams should start with workflows that are frequent, rule-based and recoverable: policy questions, job descriptions, interview guides, onboarding packs and survey analysis. · 5 min readRead Readiness and governance How to assess AI readiness before you choose any training Assess readiness before you choose training, so the budget goes where the gap is and the result becomes the baseline for measuring impact. · 4 min readRead Readiness and governance Sovereign AI in practice: training teams on models and data you control Sovereign AI is not a product you buy; it is a set of practical choices about where models run, where data sits and who can see it. · 5 min readRead AI capability AI training that builds capability, not awareness: what a program should leave behind Awareness is what people know about AI; capability is what they can do with it on their own work once the program ends. · 4 min readRead Functions AI for sales and business development in long, complex deals In long, complex deals, AI helps sales teams most with preparation and follow-through: account research, proposal drafts, compliance matrices, meeting notes and pipeline hygiene. · 5 min readRead Building agents AI agents and chatbots: what changes when AI can act A chatbot answers a question; an AI agent takes steps to complete a task, such as reading a file, drafting a reply and passing it on. · 5 min readRead Leaders The Delegation Ladder: how much can AI do before a person signs? The Delegation Ladder is Cader Group's framework for deciding how much authority to give an AI system. · 5 min readRead Sectors AI in government entities: what capability programs must build GCC governments are moving towards services in which AI systems carry out steps of the work, not only answer questions. · 5 min readRead Leaders What leaders need from AI training: decisions, not demos A leader's job with AI is not to operate the tools; it is to fund the right ideas at an agreed level of risk. · 5 min readRead Readiness and governance How to measure the return on AI training Measure the return on AI training by the change in time and quality on real, named tasks, against a baseline taken before the program starts, and by whether the new way of working is still in use 90 days later. · 5 min readRead Buying AI training How to choose an AI training provider: eight questions to ask before you sign Choose an AI training provider on what your people will have produced when the program ends, not on the syllabus. · 5 min readRead Building agents Can non-technical staff build AI agents? What three days should produce Yes. On today's no-code platforms, staff who know a process well can build AI agents without coding. · 5 min readRead
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See where your organisation stands before you choose any training

About 10 minutes. You get a result and a recommended path; your organisation gets a group view once 10 colleagues respond.