Professional services
AI and technology training for professional services
Law, accountancy, consulting, agencies and advisory firms sell judgement by the hour, which makes AI both an obvious lever and an obvious threat to the model. These cohorts deal with the real question rather than the abstract one: which parts of the work the tools genuinely take, and how to keep the part clients are paying for.
Using AI on the work your team already does, with the judgement to know when the output is wrong.
For those who set expectations and review the output.
Built around professional services work
2 courses · 12 facilitated hours
AI 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 outlineMeasuring AI Adoption and Value
Licence counts and login stats say nothing about whether work has changed. This course builds a measurement approach you can defend: a baseline, a small set of honest metrics, and a report your leadership will trust.
Addresses: Culture & Support, Tools & Access
Manager, Director / Head of
Course outlineWhat this sector brings into the room
- Client confidentiality is the whole business
- What may enter a tool, under which client's terms, and what the approved route is when the answer is no. Practitioners leave able to make that call themselves rather than escalating every time.
- Drafting is most of the day
- Written work is where the time is, and where the quality risk sits. Sessions cover producing a first draft fast and interrogating it properly, which is a different skill from writing it yourself.
- Research and analysis that has to hold up
- Verification habits, source checking, and knowing the failure modes of the tool well enough to catch a confident answer that is wrong.
- The billing model is the elephant
- The manager and leadership sessions deal with measuring what changed, and with the difference between time saved and value captured, because in this sector they are not the same number.
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.
Leading 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 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.