Financial services and banking

AI and technology training for financial services

Banks, insurers, asset managers and the firms that serve them are using these tools already, usually ahead of the oversight that was meant to govern them. The work is not slowing that down. It is training people to verify what comes back, teaching managers what to review and how often, and giving the executive layer the questions to ask before the next proposal is signed off.

Built around financial services and banking work

14 courses ยท 83 facilitated hours

Applied AILeadership6 hrsIn person / Live online

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 outline
Technology adoptionLeadership4 hrsIn person / Live online

Digital 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 outline
Applied AILeadership5 hrsIn person / Live online

Sponsoring 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 outline
Applied AIManager7 hrsIn person / Live online

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 outline
Applied AIManager5 hrsIn person / Live online

Measuring 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 outline
Technology adoptionManager8 hrsIn person / Live online / Blended

Running 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 outline
Applied AIPractitioner6 hrsIn person / Live online

AI 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 outline
Applied AIPractitioner6 hrsIn person / Live online / Blended

AI for Customer-Facing Teams

For service, sales and support teams using AI with a customer on the other end. Faster replies and better preparation, with clear lines on what a customer must never get from a machine unchecked.

Addresses: Daily Practice, Responsible Use

Individual Contributor, Team Lead, Manager

Course outline
Technology adoptionPractitioner7 hrsIn person / Live online / Blended

Automating the Work Nobody Wants

The recurring, manual, low-judgement tasks that quietly consume a working week. Participants map one, automate it during the session, and leave with it running.

Addresses: Tools & Access, Daily Practice

Individual Contributor, Team Lead

Course outline
Applied AIPractitioner7 hrsIn person / Live online / Blended

Building 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 outline
Technology adoptionPractitioner7 hrsIn person / Live online

Data You Can Actually Use

Why the report is wrong, and what to do about it. Covers the unglamorous work that decides whether anything downstream - dashboards, automation, AI - can be trusted.

Addresses: Tools & Access, Daily Practice

Individual Contributor, Team Lead

Course outline
Technology adoptionPractitioner4 hrsIn person / Live online

Everyday 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 outline
Technology adoptionPractitioner5 hrsIn person / Live online

From Spreadsheets to Systems

Somewhere in your team a spreadsheet has quietly become the system: everyone depends on it, one person understands it, nothing backs it up. This course is about recognising that moment and moving on from it deliberately.

Addresses: Tools & Access, Daily Practice

Individual Contributor, Team Lead, Manager

Course outline
Applied AIPractitioner6 hrsIn person / Live online

Responsible 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 outline

What this sector brings into the room

Second line asks what the first line is actually doing
Risk and internal audit start asking teams what they use AI for, and the honest answer is usually that nobody has written it down. Managers train on applying the firm's own policy to live requests, setting review thresholds and keeping a register that stands up to being asked for.
Client and customer material cannot go anywhere
Sessions are run on the constraint rather than around it: what may enter a tool, what may not, where the line sits for client-identifiable and market-sensitive material, and what the approved route looks like when someone needs the answer anyway.
Analysis nobody can reproduce is worse than no analysis
The analysis and reporting work is built around a trail: how the figure was reached, what was checked, and what a reviewer needs in order to sign it. Speed that cannot be defended is not a saving in this sector.

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.

Applied AILeadership5 hrsIn person / Live online

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 outline
Applied AIManager10 hrsIn person / Live online / Blended

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 outline
Applied AIManager5 hrsIn person / Live online

Running 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 outline
Applied AIPractitioner7 hrsIn person / Live online

AI 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 outline
Applied AIPractitioner6 hrsIn person / Live online

AI 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 outline
Applied AIPractitioner7 hrsIn person / Live online / Blended

Embedding 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 outline
Technology adoptionPractitioner5 hrsIn person / Live online

Getting 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 outline
Applied AIPractitioner8 hrsIn person / Live online

Prompting 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 outline

Which 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.