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.
Built around professional services work
6 courses ยท 35 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 outlineAI for Analysis and Reporting
Using AI to interrogate data and draft the report, without outsourcing the judgement. Built for the people who produce the numbers others rely on: analysts, finance, operations reporting.
Addresses: Tools & Access, Daily Practice
Individual Contributor, Team Lead
Course outlineBuilding AI Assistants for Your Team
Beyond chat: building a named assistant that knows your team's documents, follows your team's rules, and does one job well. Participants build a working assistant on their own material during the course.
Addresses: Tools & Access, Daily Practice
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 outlineWriting and Communicating With AI
For people whose work is mostly words: emails, reports, proposals, minutes. Getting a first draft in seconds is easy; this is about editing it into something that sounds like you and stands up to a careful reader.
Addresses: Daily Practice, Confidence & Skills
Individual Contributor, Team Lead
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.
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 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.