Who is this training for?

This training is relevant to a broad range of learners, particularly those involved in improving processes, making decisions with data, or leading technology-enabled change. It suits both specialists building deep analytical capability and professionals who need better methods for solving complex problems. It is especially valuable for: Continuous improvement practitioners – Lean Six Sigma Green and Black Belts, Lean practitioners and problem solvers who want to strengthen their data and technology capability Change and transformation professionals – those leading digital change, improvement programmes or operational excellence who need analytics and automation in their toolkit Data analysts and specialists and those who are not specialists but want a more structured, business-focused approach to turning data into decisions Managers and team leaders who want their teams to make fact-based decisions and adopt technology with confidence Senior leaders looking to understand where AI and automation genuinely add value, and to build capability that makes improvement programmes deliver more For some learners, this area is about the practical skills – reading a control chart, running a regression, judging where an AI tool fits. For others, it is about the wider capability to lead an organisation through technology-enabled change. That is why training ranges from introductory workshops through to advanced practitioner programmes.

How does this support digital transformation and operational excellence?

AI, Data and Technology training supports digital transformation by giving teams the skills to understand their processes through data, identify where automation and AI genuinely add value, and guide both technical and behavioural adoption. This makes it especially valuable for organisations pursuing operational excellence, digital change or technology-enabled improvement at scale.

Do I need to be a data specialist to benefit?

No. The programmes range from introductory workshops designed for practitioners who simply want to be more comfortable with technology, through to advanced programmes for experienced analysts. There is an entry point for most levels, and, importantly, the tools to help.

This area is changing rapidly - how do I know your programmes are up to date?

It is moving fast, and that is exactly why training matters! Catalyst reviews course content frequently to keep pace with this rapidly changing area, so what you learn reflects how these tools are actually being used now rather than where the field stood a few months ago. It’s important to note that the foundations stay constant even as the tools evolve: understanding your processes, trusting your data, framing the right questions and applying technology with judgement. Those skills do not go out of date when the next tool arrives.

Why bother? Won't AI do it all for us eventually?

No. AI is a powerful tool, but it still needs skilled people to decide what question to ask, judge whether the output is sound and apply it sensibly to the context. Technology is only as good as the thinking behind it. The training builds exactly that judgement: knowing when to trust a tool, when to question it and how to use it with discernment. Our belief is that technology should serve people, not replace them. AI changes the work, but it does not remove the need to think for ourselves and bring humanity to our work.

AI, Data and Technology

Training on AI, Data and Technology builds the skills needed to use data, analytics, automation and artificial intelligence to improve how organisations work. At Catalyst we focus on technology applied where it genuinely adds value rather than where it simply looks impressive.

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Catalyst’s programmes in this area are built on a simple principle: technology accelerates a process, but it doesn’t fix it. If a process is broken, applying AI will probably just deliver the wrong result faster. That’s why our training programmes combine proven methods for design and improvement with AI-enabled tools and analysis, so teams can understand the need or the problem to be solved, trust the data and apply the right technology to deliver the right results.

The field has grown rapidly, and many organisations have learned lessons the hard way. Catalyst’s training draws from those lessons, offering practical insight into what automation and AI can do, where they fit within continuous improvement, and how to navigate rapid technological change while guiding both technical and behavioural adoption.

What AI, Data and Technology training helps you improve

Our programmes in this area help organisations improve not just the tools they use, but the decisions those tools support. Typical areas of improvement include:

Data-driven decisions – selecting the right measures, trusting the data and turning analysis into insight that influences stakeholders

Process understanding – using AI enabled tools for control charts, capability analysis, hypothesis testing and regression to see how processes are really behaving

Analytical confidence – building statistical thinking and visual literacy across teams, not just in a specialist function

Technology-enabled improvement – connecting automation and AI with Lean, Lean Six Sigma and Design so efforts are aligned and mutually supported

AI literacy and judgement – understanding what AI and automation can do, where they fit and when they do not

Adoption and change – guiding both technical and behavioural adoption through rapid technological change

Measurable results – accelerating project delivery with AI-enabled analysis and insights that translate into business benefit

Why AI, Data and Technology matters

Most organisations now have access to more data and more technology than they can confidently use. The barrier to success is rarely the tools themselves. In Catalyst’s own research with leaders, continuous improvement practitioners, data specialists and consultants, 73% cited a lack of knowledge or training as an impediment to using AI in their work, with 34% rating it a major or critical barrier.

Without the skills to frame the right questions, trust the data and judge where technology fits, organisations risk investing in automation and AI that speeds up the wrong things, or building analytics capability that produces numbers nobody acts on.

Training in AI, Data and Technology closes that gap. It builds the confidence to speak the language of data, the discipline to measure and analyse process performance properly, and the judgement to apply automation and AI where they will actually improve outcomes. Just as importantly, it builds the human capability to lead that change, because technology adoption is ultimately a people challenge.

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Tell us a little about what you have in mind, or if you'd prefer, call us on +44 (0)845 345 2282

This training is relevant to a broad range of learners, particularly those involved in improving processes, making decisions with data, or leading technology-enabled change. It suits both specialists building deep analytical capability and professionals who need better methods for solving complex problems.

It is especially valuable for:
- Continuous improvement practitioners – Lean Six Sigma Green and Black Belts, Lean practitioners and problem solvers who want to strengthen their data and technology capability
- Change and transformation professionals – those leading digital change, improvement programmes or operational excellence who need analytics and automation in their toolkit
- Data analysts and specialists and those who are not specialists but want a more structured, business-focused approach to turning data into decisions
- Managers and team leaders who want their teams to make fact-based decisions and adopt technology with confidence
- Senior leaders looking to understand where AI and automation genuinely add value, and to build capability that makes improvement programmes deliver more
For some learners, this area is about the practical skills – reading a control chart, running a regression, judging where an AI tool fits. For others, it is about the wider capability to lead an organisation through technology-enabled change. That is why training ranges from introductory workshops through to advanced practitioner programmes.

This makes AI, Data and Technology training especially valuable for organisations that want to move beyond isolated pilots and pockets of enthusiasm to build genuine, durable capability in data-driven decision making, analytics and technology-enabled improvement.