AI Training

AI B2B Sales Training Overview Participants create reviewed B2B personas, journeys and offer-fit decisions from approved brand and offer context. Participants use approved public or synthetic brand and offer context to create reviewed B2B personas, feature preferences and a customer journey. They then rehearse objections from both roles and evaluate an offer for persona fit. AI supports preparation and drafting; salespeople and sales leaders retain all customer, commercial, pricing and approval decisions.

AI for Business Analysts Training Overview Participants produce reviewed, decision-ready analysis work from an approved business question and structured dataset. They understand how AI can be leverage for accuracy data analysis, avoid comment issues and errors.

AI for eCommerce Training Overview Participants create on brand product content, campaign plans and customer-feedback actions from approved scenarios. Who should attend Roles: eCommerce, marketplace, product-content, marketing and customer-experience professionals. Prerequisites: Foundation training in AI or daily practice validated by AI Maturity Assessment. Participants bring knowledge of their operations, brand identity, product catalogue. Platform access: Either an internal AI corporate platform, a Microsoft 365 Copilot corporate license. Alternatively, a temporary AIM platform can be deployed for the training. Delivery context: Facilitated practice-based 3h workshop. All practice uses brand elements, product information, available online on the participant’s eCommerce platforms. What you will learn Build and review persona/feature context for a product category and market. Use verified keyword evidence to score and improve a product description. Draft a structured product-image brief while checking product fidelity and rights. Complete a reviewed monthly email campaign chain with explicit human selection points. Turn anonymised customer feedback into reviewed escalation, response or prioritised improvement action. Identify one safe next eCommerce workflow, reviewer and data boundary.

AI for Executives Training Overview Executives move from AI awareness to a concrete, governed direction for their organisation. They identify where AI can and cannot contribute, select strategic capabilities and use cases, test organisational readiness, and agree accountable next steps. In addition, participants understand how AI can be leverage to accelerate their high-value strategic tasks.

AI for Finance Training Overview Participants create human-reviewed financial explanations, executive/risk commentary, process-automation ideas and coaching material from synthetic or approved anonymized inputs. Who should attend Roles: Finance managers, controllers, analysts and finance staff. Prerequisites: Foundation training in AI or daily practice validated by AI Maturity Assessment. Participants bring knowledge of their financial processes, key financial documents, and current financial results. Platform access: Either an internal AI corporate platform, a Microsoft 365 Copilot corporate license. Alternatively, a temporary AIM platform can be deployed for the training. Delivery context: Facilitated practice-based 3h workshop. This training can have participants from different departments and divisions. The training is most impactful when participants can use their own financial data. What you will learn Create reviewed financial explanations and executive/risk commentary from approved inputs. Identify safe process-automation and coaching applications while retaining human financial decisions. Turn AI into a coach to prepare for difficult financial review meetings. Use AI to train junior staff. Prepare automation of key financial processes with AI.

AI for HR Learning and Development Training Overview Participants create reviewed development artefacts from approved role-development context while HR and managers retain decisions. Participants use approved role-development context to create reviewed development artefacts: growth culture, role scorecard, diagnosis, IDP, fair learning pathway, micro-learning plan and development-review guide. AI provides structured drafts; HR and managers retain all employment and development decisions.

AI for HR Performance Training Overview Participants create reviewed performance-management drafts from approved context while HR and accountable managers retain every employment decision. Participants use approved role and performance context to create reviewed performance-management drafts: a performance/feedback voice, scorecard, aligned goals, check-in guide, observable rubric, evidence-based summary, fairness audit and growth-oriented performance-review narrative. AI reduces blank-page work; HR and accountable managers retain every employment decision.

AI for Marketing Training Overview Participants build a reusable marketing context for their brand, turn it into customer personas and journeys, then use it to evaluate, improve and generate marketing content that is more targeted and conversion-focused.

AI for Project Management Training Overview Participants turn a project scenario into reviewed stakeholder, risk, project-health, change-response, launch-readiness and postmortem artefacts. They learn to use AI for structured first drafts while retaining accountable human decision-making, factual validation and safe-data handling.

AI for Recruitment Training Overview Participants create a human-reviewed workflow from employer brand voice to role brief, interview kit, evidence-based shortlist and respectful candidate communication. Who should attend Roles: Recruiters, talent-acquisition leads, HR business partners and hiring managers. Prerequisites: Foundation training in AI or daily practice validated by AI Maturity Assessment. Participants bring knowledge of their organisation, market, department and current KPIs. Platform access: Either an internal AI corporate platform with agentic coding capabilities, a Microsoft 365 Copilot corporate license. Alternatively, a temporary AIM platform can be deployed for the training. Delivery context: Facilitated practice-based 3h workshop. The training provides open data set for practice, and participants can also bring their own sanitized data. What you will learn Create a truthful employer-brand voice from safe source material. Build and review a job description, competencies and interview kit. Use transparent criteria to compare synthetic candidates and identify bias/fairness risks without automating hiring decisions. Draft accurate, respectful candidate communication. Apply privacy, fairness, consent and human-decision controls.

AI Fundamentals Training Overview Participants turn one bounded work task into an AI prompt that saves them at least 1 hour at each execution. They can structure a structured E-RCFC prompt, they understand the critical elements that ensure high quality output, recognise unsafe or degraded conversations, and identify 5 other use cases to explore.

AI Image Creation Training Overview Participants create clear, safe visual briefs; generate and evaluate realistic images and business visuals; and make authorized, purposeful image modifications. They learn to keep factual verification, rights, consent and publication decisions under human control.

AI Legal Training Overview Participants leave with reviewed legal-work drafts and a repeatable process for using AI as structured support under professional judgement. Participants practise four connected legal workflows in AIM: controlled contract drafting, contract review and negotiation, client communication, and legal research. They leave with reviewed draft outputs and a repeatable process for using AI as structured support—not as legal advice, legal authority or a replacement for professional judgement.

AI Mastery Training Overview Participants turn one-off prompting into reusable, controlled work and leave with a safe, reviewable next use case. Prompts are can be shared with colleagues and other departments for company-wide adoption and efficiency.

Build Your AI Agents Training Overview Participants create reviewed, controlled workflow-change proposals from a non-production workflow. Who should attend Roles: Citizen developers, automation builders, business-system analysts and workflow owners. Prerequisites: Foundation training in AI or daily practice validated by AI Maturity Assessment. Participants bring knowledge of their organisation, market, department and workflows. Platform access: Either an internal AI corporate platform with agentic coding capabilities, a Microsoft 365 Copilot corporate license. Alternatively, a temporary AIM platform can be deployed for the training. Delivery context: Facilitated practice-based 3h workshop. This training can have participants from different departments and divisions. Participants must prepare their own sanitized data to test their AI Agent. What you will learn Inspect a sandbox workflow’s trigger, nodes, input/output flow, credentials boundary and execution record. Write a bounded, version-aware workflow modification request with acceptance tests and a rollback point. Review AI-generated workflow. Test expected versus actual behaviour with controlled valid and malformed inputs. Diagnose invalid code, execution errors and wrong behaviour using redacted, reproducible evidence.

Design Your AI Agents Training Overview Participants can identify opportunities, frame a bounded automation, score it from explicit assumptions, select a safe prototype scope and define its owner, reviewer, data boundary and success measure.

Hospitality AI Leadership Training Overview Participants create reviewed hospitality AI work using synthetic/approved context: service and staff communication drafts, operational improvement ideas, prioritised use cases and a governed pilot brief. Hospitality, privacy, brand, safety and operations owners retain all decisions.