Fluency is not a keen minority using a chatbot well. It is four roles — orchestrators, builders, adopters and enablers — each learning the part of the job only they can do, and learning it in an order that holds together.
Orchestrators set the vision and model the behaviour.
Senior leaders and function heads who decide where AI goes and are watched for whether they use it themselves.
Builders turn potential into prototype.
The technically confident minority in every department who will build the first working thing if given room.
Adopters experience AI as a personal assistant.
Everyone else — the majority of the organisation, doing the work the AI is supposed to help with.
Enablers make AI safe and scalable.
Risk, legal, IT, HR and data governance — the people who can green-light a use case or quietly stop it.
Clear AI strategy supports resource allocation for the Builders, which in turn supports workflow automation for other staff (Adopters).
Get the whole organisation using AI safely, with guardrails in place from day one.
6 components
Turn adoption into working prototypes and prompt libraries owned by your own teams.
6 components
Leadership, builders, staff and governance moving together on one roadmap.
12 components
Orchestrator
From Understanding to a Weekly AI-Offloaded Task
Closes the gap between understanding AI and using it every week. Each leader leaves with one real task handed to AI.
Who it’s for
Business leaders and senior managers who want to move beyond awareness of AI into personally offloading real work to it, without technical background assumed.
Orchestrator
Bringing Business Context Into the Prompt
Senior leaders hold the business context AI cannot supply. Put it into the prompt and apply it to a live strategic task.
Who it’s for
Senior leaders and business unit heads who want to move past basic AI use into deliberate, technique-driven prompting, applied to a real strategic task rather than generic exercises.
Orchestrator
Staying Informed, Staying Ahead
A recurring touchpoint for senior leaders: a curated topic, an outside voice where available, and a facilitated discussion that turns it into action.
Who it’s for
Senior leaders and executive sponsors who need a low-effort way to stay current on AI and remain visible champions of adoption.
Builder
From Use Case to Prompt Library
One department, its own tasks, and a working prompt library the team uses from the next morning.
Who it’s for
Staff within 1–2 selected departments, working on their own day-to-day tasks. Best suited to intact teams who can commit both days together, since the shared prompt library depends on group discussion and peer feedback.
Builder
Sponsored Projects, Sustained Support
Sustained support after the workshop ends: cross-functional groups build sponsored AI projects with regular facilitator check-ins and a Demo Day.
Who it’s for
Seven cross-functional groups of 2–3 staff, each working on an organisation-sponsored project. Best suited to participants who already have a use case or business problem in mind.
Builder
From Raw Data to Dashboard, Powered by AI, Not Code
Intensive for analysts and consultants: take a real dataset from raw numbers to an interactive dashboard by directing AI, not writing code.
Who it’s for
Business and data analysts; management, strategy and operations consultants; policy or research analysts (the programme uses real Singapore public datasets). Also domain professionals in finance, marketing, HR and supply chain who need to analyse data but don’t code, plus product managers and hands-on decision-makers. No coding or statistics background assumed.
Builder
For Competitive Advantage
For the managers who must turn leadership’s AI ambition into resourced projects. Spot real opportunities and plan them with the SHIELD framework.
Who it’s for
Managers and team leads reporting into senior management, expected to translate leadership’s AI ambitions into real, resourced projects within their own functions.
Builder
From Idea to Working Prototype
Build a working prototype by describing it in plain language, with the engineering and security guardrails that make it safe to hand over.
Who it’s for
Professionals across functions in medium and large enterprises — no coding background assumed. Ideal group size 15–20 across 4–5 tables.
Adopter
From Awareness to Application
A hype-free session for professionals in any function: see where AI fits your workflow, then get reliable output from it.
Who it’s for
Professionals across functions in medium and large enterprises — no technical or coding background assumed.
Adopter
Monthly Demos, Growing Adoption
A recurring series showing AI taking real mental load off everyday tasks, from tough emails to dense legal documents.
Who it’s for
General staff and self-motivated AI champions across the organisation — an open, recurring session rather than a fixed cohort.
Enabler
From Risk Matrix to Governance Roadmap
The governance counterpart to your AI roadmap: build the risk matrix, privacy checklist, procurement criteria and committee that let initiatives scale safely.
Who it’s for
Cross-functional stakeholders responsible for risk, compliance, legal, IT security and data — the group tasked with translating leadership’s AI strategy into safe, scalable practice.
Enabler
Contracts and Clauses
A working session for your legal team with our technical facilitator, producing contract clauses that address AI-specific risk and actually hold.
Who it’s for
The client’s legal department (in-house counsel or legal team), working directly with a technical facilitator. A working session for legal practitioners, not a general AI awareness session.
Enabler
A Working Governance Workshop
Data owners across departments produce real governance artefacts from your own data, not a case study.
Who it’s for
Cross-functional stakeholders who own, manage or rely on data across departments — IT/systems, legal or compliance, and 2–3 business units with meaningful data ownership, plus existing data owners or stewards. Brought together deliberately, because data governance breaks down when designed by one function in isolation.
Enabler
Governance and Management
Reframes data as an asset every employee protects, not a by-product of doing business. Practical stewardship for staff across departments.
Who it’s for
General staff and functional managers across departments who create, handle or rely on data day to day — not limited to IT or data teams, since data stewardship is a shared responsibility.
Tell us the team size, where you are with AI today, and what a good outcome looks like. We’ll map it to a programme — or tell you it isn’t training you need.
