Every professional business service firm is now confronting the same defining problem: how do we successfully adopt AI? Whether you’re exploring new tools, embedding change across teams, or scaling innovation, the TiPS Advisory Hub is designed to make adoption easier, more effective, and more sustainable.
The TiPS Advisory Hub is built using cutting edge academic research led by Lancaster University. Based on three years of in-depth work with over 50 professional service firms, the TiPS Advisory Hub brings together tried-and-tested approaches to digital and AI adoption – backed up by independent research evidence.
You can use the Hub in a way that suits your firm's needs. Explore our growing library of case studies, practical guidance and the SUCCEED Adoption Toolkit to learn from the experiences of other firms, identify opportunities for improvement, and access proven frameworks to support successful technology adoption.
Whether you choose to access our online resources independently or work directly with our team, TiPS is here to help your firm turn digital and AI ambitions into practical, measurable outcomes.
For organisations seeking more tailored support, the TiPS Team can work alongside you to identify the right programme. This may be a programme tailored for your firm or one of our cross-firm and cross-profession programmes that provide strategic insights into AI use cases. Whichever approach is right for you, TiPS will help you identify high-value use cases for digital and AI technologies that deliver the greatest impact.
Curious how others have tackled AI Adoption?
Explore real-world examples from firms just like yours. See what worked, what didn’t, and the impact achieved. Browse our industry case studies and get inspired by practical, proven approaches.
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Ready to accelerate AI adoption with a proven approach?
Our SUCCEED Adoption Toolkit gives you a clear, practical 7-part framework to turn ambition into action and drive real change.
*Full registration is required to get access to premium content
Empowering Efficiency at Wedlake Bell with Data-Driven Technology
