Jagged Pioneers helps complex organisations move from AI experimentation to impactful integration.
We work with your teams and stakeholders to test what works, develop the right capabilities, and adapt governance frameworks to enable innovation without compromising trust.

Strategic AI adoption means knowing when not to use it as much as when to embrace it. We work with your teams to test real use cases and distinguish genuine productivity gains from expensive distractions.
The Central Bank of Ireland discovered that ChatGPT accelerates document reviews by 34%, but increases inaccuracies when applied to data analysis. Our approach helps you find opportunities and avoid costly missteps.
The biggest barrier to AI ROI? Getting your team to use it properly.
We tackle challenges like prompting skills (which are responsible for half of AI performance gains), AI hesitancy and workflow integration frictions head-on by providing hands-on training and opportunities to interrogate AI capabilities in practice. Going deeper, we help address the organisational realities that slow AI adoption, from risk-averse approval processes and siloed departments to leadership skills gaps.
Our PICKSIE prompt training tool was selected for the AI.GOV.UK Knowledge hub, the central AI resource for 500,000+ UK Civil Servants.
AI capabilities are advancing faster than institutional planning cycles. What works today may be obsolete in 18 months – and entirely new opportunities will emerge.
We help you build institutional capacity for continuous adaptation: strategic foresight about what’s coming, governance structures that enable safe experimentation, and decision-making frameworks that can evolve with the technology.
Read Jack’s OECD paper on how complex organisations can make anticipation and resilience part of their day-to-day work.
People using MS365 Copilot effectively reduce their time emailing by 31%, resulting in up to 4 hours more focus time per week and fewer after-hours emails.
— Dillon, E, et al. (2025), Shifting Work Patterns with Generative AI
A study of 7,000 workplaces found 70% of marketers report an improvement in the quality of their work with AI chatbots.
— Humlum, A, & Vestergaard. E (2025). Large language models, small labor market effects.
Generative AI supports human collaboration and fosters interdisciplinary thinking, improving teamwork across organisational siloes.
— Dell’Acqua, F, et al. (2025) The cybernetic teammate: A field experiment on generative AI reshaping teamwork and expertise.
We work with organisations that want AI to enhance the quality of their work – not just speed things up. Places like international organisations, government bodies, regulators, and major institutions where effective adoption requires navigating complex governance requirements, bringing multiple stakeholders along, and operating within legitimate constraints.
We engage your teams through workshops and co-creation to identify high-impact AI opportunities, test AI in real workflows, figure out what genuinely helps (and what new problems arise), and build the capabilities and confidence needed to make AI adoption sustainable and effective.
We bring expertise that’s uncommon in AI consulting: institutional governance, strategic foresight, behavioural science, and direct experience working in complex organisations like the OECD. We’ve supported teams across investment, communications, finance, translation, operational casework and research.
Our services include:
Workshops start from £5,000. Strategy engagements are bespoke. Contact us to discuss your needs.
“Jack is a great facilitator of
collective human intelligence
building to make responsible
and innovative use of AI
solutions!”
RESEARCH DIRECTOR
“Very good mix of examples
and hands-on exercises, the
pace was suited to our group
and… conducive to open discussion.”
EXECUTIVE ASSISTANT
“Fantastic workshop! Very engaging and very understanding of our questions. Highly recommended!”
INVESTMENT PROFESSIONAL

Founder and Director
Jack has 13 years experience supporting innovation and AI adoption in the public, charity and private sectors, having led projects for the OECD and Nesta. He is a Fellow of Practice at the Institute of the Future of Work, and approaches generative AI with a sense of cautious optimism.

Advisor, Measurement & Testing
Eszter holds a PhD in behavioural and experimental economics. She blends behavioural insights with rigorous
data analysis to measure the performance of technology
adoption in teams and organisations. Her approach provides evidence-based strategies for successful AI
adoption.
100%
workshop participants identify at least one task where they will use AI in the next month
94%
increase their confidence in AI use following one workshop
+21%
increase in positive sentiment around AI, up to 94% – laying foundations for effective adoption

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All images except team photos are generated using Google Gemini. They reimagine computational models through historical scientific photography techniques.