A complete practical programme for managers who want to use generative AI for analysis, communication, planning and productivity without surrendering judgement, confidentiality or accountability.
Learners work through fictional performance packs, people-management scenarios, reporting tasks and decision challenges.
Core ruleAI can assist the manager. It does not own the decision.
Safe-use principleUse approved tools, minimise personal/confidential data, check evidence and keep meaningful human review.
The academy focuses on repeatable management workflows rather than technical AI development.
Every module combines a management concept, practical prompt, evidence check and workplace scenario.
What generative AI can and cannot do, where it fits in management work and why accountability stays with the manager.
Build prompts using context, task, evidence, constraints, audience and required output.
Decide what information must not be pasted into unapproved AI systems and how to anonymise or minimise data.
Verify facts, calculations, sources and assumptions before using an AI-generated output.
Use AI to structure variance analysis, hypotheses and questions without inventing causes.
Move from symptoms to evidence using 5 Whys, cause categories and testable hypotheses.
Turn findings into owners, deadlines, numeric measures, review points and escalation triggers.
Draft concise management communication while preserving accuracy, tone and accountability.
Prepare agendas, questions, decision logs and follow-up actions without replacing human judgement.
Use AI for structure and preparation, not automated high-impact employment decisions or unsupported judgements about people.
Cluster feedback, identify themes, design experiments and measure whether service changes work.
Use AI to explain variance, test assumptions and compare scenarios while checking all numbers independently.
Map workflows, identify friction, automate low-risk drafting and protect control points.
Approved tools, human review, documentation, transparency, risk ownership and escalation.
Analyse a fictional business pack, write a decision brief, create a 30-day action plan and explain your verification steps.
Enter a fictional management task. The lab creates a reusable structure you can take into an approved AI tool.
A manager wants AI help drafting an absence review. Their prompt includes the employee's full name, medical diagnosis, home address and detailed sickness history.
Successful academy completion and final assessment unlock a full-colour Asher Learning Hub Certificate of Completion, personalised with the learner name, completion date, assessment result and certificate ID.
Certificate status: independent professional learning certificate. It is not an Ofqual-regulated qualification or professional licence unless explicitly stated otherwise.
Individual AI management course/module.
Full 15-module programme.
Extended professional learning package.
Payments: secure Stripe checkout buttons are prepared. They become live as soon as the Stripe account is connected to the payment API. Individual-course purchases are handled by support during the initial launch.
The programme aligns its management-risk teaching with current ICO themes including governance and accountability, transparency, data minimisation, security, statistical accuracy, discrimination/bias and human review.
ICO Artificial Intelligence toolkit · ICO AI and data protection risk toolkit
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