Modular AI Training and Advisory
Build a practical 3 to 10 module programme around how your organisation actually works. The menu combines team training, workflow design, delivery support, and governance guidance for public sector and business contexts.
Use the menu as a starting point. Modules can be delivered as focused sessions, combined workshops, or tailored advisory support.
Create a cleaner IDE setup so AI-supported work starts with structure instead of confusion.
Covers project trees, naming conventions, working files such as agents.md, claude.md, session handoffs, lessons learned, and the routines that keep delivery work usable over time.
For: Teams starting serious hands-on work with Claude, Codex, or similar tools.
Improve output quality by replacing ad hoc prompting with a more reliable working method.
Covers prompt structure, role framing, constraints, examples, and review patterns that help teams get more consistent results across drafting, analysis, and implementation support.
For: Professionals already using AI tools who need less drift and less rework.
Help teams understand what an automated workflow actually is before building one badly.
Covers task decomposition, sub-agents, handoffs, checkpoints, and where simple structured workflows outperform over-engineered automation.
For: Teams moving from experimentation into practical process design.
Keep AI-assisted work aligned with your voice, standards, and approval expectations.
Covers tone, formatting, review rules, escalation language, and quality controls so documents and decks feel consistent across people and projects.
For: Organisations that want outputs to sound like them rather than like a generic tool.
Choose the right tool and mode for the job instead of using everything for everything.
Covers where different tools are strong, when to use direct prompting versus structured execution, and how skills, extensions, and build-oriented workflows fit into delivery work.
For: Teams comparing tools or trying to standardise how they use them.
Scale AI-supported delivery with clearer delegation, ownership, and handoffs.
Covers how to split work, assign responsibilities, document state, and avoid duplicated effort when several people or several steps are involved.
For: Teams running repeatable multi-step workflows or shared project delivery.
Turn a promising use case into a realistic first pipeline you can actually test.
Covers how to move from intake to output, what should be templated or reviewed, and how to design a first workflow for use cases such as briefing-to-deck or intake-to-summary.
For: Organisations that want a practical starting point instead of a vague roadmap.
Reduce repeated mistakes and improve continuity across sessions and projects.
Covers lessons learned, session handoff notes, reusable instruction files, and lightweight documentation habits that improve continuity and consistency over time.
For: Teams that lose context easily or want more stable delivery routines.
Support stronger privacy practice while your organisation introduces AI into real work.
Covers data minimisation, lawful basis, processor awareness, sharing boundaries, retention thinking, and the practical documentation habits that help teams prepare more responsibly.
For: Public bodies, regulated teams, and organisations handling personal or sensitive data.
Build AI governance readiness without turning it into theatre.
Covers risk thinking, oversight, documentation habits, transparency considerations, and the difference between policy statements and operational reality. This supports preparation, not legal sign-off.
For: Leaders and delivery teams shaping internal AI governance.
Make governance artefacts easier to understand, prepare, and use well.
Covers where documents such as DPIAs, DPAs, ROPAs, and ethical review notes fit around AI-related initiatives, and how they can support better approvals and stronger accountability.
For: Teams building or reviewing AI-supported processes with documentation needs.
Help leaders decide where AI should help, where it should not, and how to lead adoption credibly.
Covers use-case selection, capability expectations, adoption risks, assurance questions, and how to align operational teams with management decisions.
For: Senior leaders, programme owners, and managers responsible for direction and uptake.
If you already know which modules are relevant, send a short email with the topics you want, who the audience is, and whether you want training, workshop, or advisory support. A simple shortlist is enough to start.
Email your shortlist