Healthcare and life sciences
AI and technology training for healthcare and life sciences
Providers, trusts, care organisations and life sciences teams carry a duty of care that generic AI training simply does not account for. These cohorts run on administrative and operational work first, with clinical judgement treated as the thing the technology serves rather than the thing it replaces, and with the boundary said out loud rather than assumed.
Built around healthcare and life sciences work
10 courses ยท 55 facilitated hours
AI Strategy and Oversight for Executives
A half-day session for the board and executive team on where AI creates and destroys value, what the organisation is accountable for, and what to ask for in reporting.
Addresses: Confidence & Skills, Culture & Support, Responsible Use
Director / Head of, Executive / C-Suite
Course outlineDigital Change Without the Theatre
A half-day for the executive team that owns a change portfolio. Fewer initiatives, honest sequencing, and permission to stop things - the unglamorous decisions that decide whether digital investment lands.
Addresses: Culture & Support, Confidence & Skills
Director / Head of, Executive / C-Suite
Course outlineSponsoring an AI Literacy Programme
For the executive or manager who has to commission workforce AI training and answer for it later. Covers scoping measures to role and risk, and what records to insist on.
Addresses: Culture & Support, Confidence & Skills
Manager, Director / Head of, Executive / C-Suite
Course outlineTechnology for Non-Technical Leaders
Enough understanding to ask good questions and not be sold to. For directors and executives who sign off technology decisions without a technical background.
Addresses: Confidence & Skills, Tools & Access
Director / Head of, Executive / C-Suite
Course outlineAI Governance and Oversight for Managers
The oversight duties that sit with line management: approving use cases, handling incidents, and keeping a record of what the team does with AI.
Addresses: Responsible Use, Culture & Support
Manager, Director / Head of
Course outlineRunning a Rollout That Sticks
Most technology failures are adoption failures. This is about the twelve weeks after go-live: who champions it, what you measure, and how to tell early that it is not landing.
Addresses: Culture & Support, Daily Practice
Team Lead, Manager, Director / Head of
Course outlineEveryday Security for Busy Teams
The security habits that survive a busy week, updated for a world where the phishing email is written by a machine and sounds exactly like your supplier. No fear, no jargon - just what to do and when.
Addresses: Responsible Use, Confidence & Skills
Individual Contributor, Team Lead, Manager
Course outlineResponsible AI Use at Work
Covers the judgement calls staff face daily: what data may go into a tool, when a human must review, and how to record what was done. Delivered against your organisation's own AI policy.
Addresses: Responsible Use
Individual Contributor, Team Lead, Manager, Director / Head of, Executive / C-Suite
Course outlineRobotics: What It Can and Cannot Do
A grounded introduction for people whose work is about to involve a robot. Separates what the technology genuinely does well from what the trade press implies, using real deployments and real failure modes.
Addresses: Confidence & Skills, Tools & Access
Individual Contributor, Team Lead, Manager
Course outlineVision Systems and Automated Inspection
Cameras that inspect every part sound simple until lighting drifts, false rejects pile up, and nobody trusts the reject bin. Hands-on with how inspection systems actually behave and how to keep them honest.
Addresses: Tools & Access, Daily Practice
Individual Contributor, Team Lead
Course outlineWhat this sector brings into the room
- Patient data is the first question, not the last
- Every session starts from what may and may not enter a tool, who owns that decision locally, and what the approved alternative is. Teams leave able to explain their own boundary to a colleague, which is what makes it hold.
- The administrative load is where the time actually goes
- Correspondence, referrals, summarising long records, drafting the same letter for the fortieth time. This is the work AI can genuinely lift, and it is where these cohorts spend their practice time.
- Automation lands on shift patterns, not on org charts
- Where robotics and automation reach logistics, pharmacy, labs and facilities, the operational course covers who owns the system on a Sunday night and what happens on the shift when it stops.
Also runs for any sector
These work the same way whoever is in the room. They are still delivered on your own material, so they are no less specific to you - the sector simply is not what changes them.
AI in the Executive Workflow
Senior leaders working on their own material rather than talking about AI in the abstract: board papers, briefing notes, analysis of a long document, and the tools that make it repeatable.
Addresses: Daily Practice, Tools & Access
Director / Head of, Executive / C-Suite
Course outlineLeading an AI-Ready Team
For the managers who decide whether adoption sticks. Focuses on setting expectations, removing blockers, and building the team habits that survive after the training ends.
Addresses: Culture & Support, Daily Practice
Team Lead, Manager, Director / Head of
Course outlineRunning an AI Champions Network
Champions programmes fail politely: volunteers are named, nothing changes. This is for the manager who owns the network - choosing the right people, giving them time and permission, and keeping it alive after month two.
Addresses: Culture & Support, Daily Practice
Team Lead, Manager, Director / Head of
Course outlineAI Foundations for Every Role
A facilitated introduction for staff who have little or no structured experience with AI tools. Participants leave having used AI on their own real work, with a clear view of what these systems can and cannot do.
Addresses: Confidence & Skills, Daily Practice
Individual Contributor, Team Lead
Course outlineAI Tooling and Integration Clinic
A short clinic for teams whose tools are in place but underused or disconnected. Run against your organisation's actual toolset rather than a generic demo stack.
Addresses: Tools & Access
Individual Contributor, Team Lead, Manager
Course outlineEmbedding AI in Daily Workflows
Moves participants from ad hoc use to repeatable practice. Each participant maps one of their own recurring workflows and rebuilds it with AI in the loop.
Addresses: Daily Practice, Tools & Access
Individual Contributor, Team Lead
Course outlineGetting Value From the Tools You Already Own
Most organisations have more unused capability sitting inside licences they already pay for than in anything they are about to buy. This is a working audit of what you have, what it can do, and what to switch on first.
Addresses: Tools & Access
Individual Contributor, Team Lead, Manager
Course outlinePrompting and Output Verification
A working session on getting reliable results and, more importantly, on checking them. Built around the verification habits that separate occasional AI users from dependable ones.
Addresses: Confidence & Skills, Responsible Use
Individual Contributor, Team Lead, Manager
Course outlineWhich of these does your organisation actually need?
The readiness assessment scores each person across five dimensions and maps the gaps onto this catalogue, by department and by role. Five minutes per person, and it answers the question with a measurement rather than a guess.