In the past year we have helped over 25 charities and non-profits save time and learn more about generative AI.
Read some of our case studies below
The Steve Morgan Foundation
Custom Copilot training
The Steve Morgan Foundation team completed a day of customised Copilot training, with individual focus on each person's role and a walk-through of each tool. Rather than staying theoretical, the day centred on real workflow development — each team member left with practical changes to put into action and a sense of accountability for making them stick.
Since completing training, the team has built a set of practical AI agents that are now saving real time each week, without sacrificing the accuracy and tone their work demands.
The results
A day of work saved every couple of months. A dedicated trustee-minutes agent turns trustee reports into polished minutes, cutting a task that used to take most of a day down to a fraction of that.
Faster, sharper proposal reviews. A proposal review coach agent now red-teams high-value grant applications and structures feedback for the team — a tool well received by the partner organisations on the receiving end.
About an hour a day to clear core email work. By pairing a generalist assistant with Outlook, the team drafts and triages replies quickly, cutting down the admin work that used to eat into the day.
A single source of truth for AI outputs. Rather than each agent drifting out of sync, the team built one master reference document covering strategy, facts, voice and examples, and feeds it into every agent — keeping outputs consistent as the organisation's knowledge evolves.
A generalist assistant trusted for daily work. The team's day-to-day agent summarises meetings and messages, answers from the foundation's own reference material, and flags uncertainty and source conflicts rather than guessing — giving the team confidence in what it produces.
A weekly safety net. A planning agent runs every Sunday evening, reviewing the past week and flagging priorities and anything at risk of being dropped, without adding to daily inbox noise.
Board and proposal reporting, streamlined. A dedicated report agent now polishes board reports and other templated outputs, reducing manual formatting and drafting time.
Why it worked
The team didn't stop at one agent. By building a small suite — each with a clear job, careful instructions and their own reference material — they turned Copilot from a generic assistant into something closer to a set of specialist colleagues, each trusted for a specific part of the job.
"What impressed us most was Alex's ability to make the training completely relevant to our organisation and the realities of our day-to-day work. Rather than a generic introduction to AI, it was a highly practical and engaging session that helped each member of the team identify meaningful ways to apply Copilot in their own role. Alex is an excellent facilitator, combining deep knowledge with a very approachable style, and the impact of the training is still being felt across the organisation months later."
Liam Eaglestone, CEO - Steve Morgan Foundation
The Fundraising Regulator
Custom ChatGPT based training
The Fundraising Regulator
We delivered a bespoke, Chat GPT based training programme designed to help teams move to confident, practical use of generative AI. The goal was not simply to introduce AI tools, but to create a structured foundation that would enable the organisation to safely explore agentic workflows, pilot new use cases, and build internal confidence.
The training session focused on clear prompting techniques, repeatable frameworks, and responsible use aligned with sector-specific governance requirements. Staff from across the organisation participated in hands-on exercises and breakout discussions.
Feedback indicated the session provided a strong baseline, enabling teams with varied levels of experience to begin using AI for defined, low-risk tasks such as drafting headlines, improving wording, or structuring emails.
Following the training, the organisation rolled out the free version of ChatGPT across teams, supported by clear internal guidance on confidentiality and acceptable use.
An AI working group was established to gather staff feedback, monitor adoption, and identify potential opportunities for experimentation. The rollout also legitimised informal “shadow AI” practices already happening across teams, creating a more transparent and governed environment.
To move from experimentation to measurable impact, several structured pilot projects were introduced. Each pilot followed a documented project plan outlining scope, aims, prompts or agent workflows, timelines, and success criteria. Measurement focused on two core dimensions: perceived time saved and quality of outputs, with colleagues scoring results against organisational style and readability standards using a 1–5 scale.
Beyond technical experimentation, the programme embedded governance and sustainability. Internal AI policies and a public AI resource page were finalised to ensure staff had clear guidance on responsible use. A structured process was introduced allowing anyone in the organisation to propose new AI pilots, helping build momentum while maintaining oversight.
The training acted as a catalyst rather than a one-off intervention. It enabled the organisation to establish measurable pilot frameworks, define success criteria, and explore agentic AI responsibly.
Alex's ChatGPT prompting training was focused, practical and engaging, offering clear prompting tips, useful frameworks and the chance to experiment with real examples. Breakout discussions and hands-on exercises helped us test ideas, learn from colleagues, and build a confident baseline for using AI effectively across our organisation. Would recommend as a way to improve understanding of AI and its potential (and risks) in your teams.
Jim Tebbett: Head of Proactive Regulation, Fundraising Regulator
Young Hammersmith and Fulham
Multiple AI training sessions for members
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Young Hammersmith & Fulham brought in The AI Training Company to run two separate sessions for their members, who work across charities supporting young people:
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An introduction to AI: practical ways AI can speed up everyday charity work
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Writing bids with AI: using AI to plan, draft and strengthen funding applications
Both sessions gave equal weight to data protection and safeguarding, which matter most for organisations that work with young people.
Key results
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100% of participants left with a specific AI use case to put into practice within a month
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100% could name a data protection or safeguarding principle they would follow
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75% reported better knowledge of how to apply AI in their work
Everyone left with a plan
Training only pays off when people take it back to their desks. Every participant chose a task to start with, and the choices spanned the whole organisation:
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Updating organisational policies
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Taking minutes in meetings
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Drafting marketing emails faster
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Using Claude to support day-to-day work
Safeguarding came first
Participants understood why the rules exist, and they described them confidently in their own words. They independently picked out the habits that protect young people: anonymise data, leave out details about children and young people, and remove anything that could identify someone.
"No details of children or young people to be uploaded."
"We do not use names or identifying features, so we will continue with this when using AI."
"Anonymise all data before entering."
The outcome
Members of Young Hammersmith & Fulham now know where AI can save time, including on bid writing, and where to draw the line, with clear first steps for the month ahead.
The Flying Seagull Project
Intro to AI training
We delivered an introductory AI training session for volunteer coordinators at The Flying Seagull Project.
The session was designed to help them reduce admin workload and understand more about the features of different LLMs.
The session covered a clear introduction to generative AI and how the main tools differ, practical prompting fundamentals using real tasks from the team's own roles, and a collaborative, hands-on exercise where we designed and built a Custom GPT together — an AI assistant configured specifically for the needs of volunteer coordination at The Flying Seagull Project.
Rather than leaving with a general understanding of AI, the team left with a working tool they could use the next day.
I found the training comprehensive and feel I understand more about how to implement AI at my charity
Natasha - Volunteer Coordinator, The Flying Seagull Project