We recently caught up with Rooven Pakkiri, Instructor for the new Certified AI Manager (CAIM™) program, which debuted April 28-May 1 in North America, and May 19-22 in Europe.

Rooven shared highlights (below) from our first two CAIM™ classes where students demonstrated AI in action for tasks like Taxonomy, Information Architecture, and Ticket Deflection, and even used AI to help develop use cases and redesign the AI Centre of Excellence. Throughout, the lessons ensured human involvement.

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FiveTake-Aways from the Certified AI Manager Program -
Why This Course Changes Everything

1.       From Theory to Practice: Real Use Cases That Matter

Gone are the days of wondering if AI and KM can work together. Our students didn't just learn concepts—they identified specific, valuable use cases tailored to their own organisations. By the end of the 4 days, each participant had mapped out concrete applications where AI could enhance their knowledge management initiatives, turning abstract possibilities into actionable strategies.

The shift was immediate and powerful. Instead of theoretical exploration, we witnessed professionals crafting implementation roadmaps that they could take back to their workplace the very next week.

2.       Collaborative Innovation in Action

The magic really happened during our Miro Board exercises. Students became genuinely excited as they discovered how to use AI not just as a tool, but as a collaborative partner in driving AI adoption itself. I call this using AI to deliver AI. The energy in our virtual room was infectious as human creativity merged with AI capabilities.

I witnessed AI-human collaboration emerge naturally. Students worked alongside AI to craft compelling calls-to-action, redesign their AI Centers of Excellence with creative names like "AI Brewery”, “AI Kitchen” and "AI Agency," and develop new organisational roles. The visual outputs were high quality and super engaging - AI-generated images that perfectly captured their vision for transformation (see examples below). One group went even further in the session and used AI to make a video-based Call to Action, something I had shared with the class before the course started.

This wasn't just learning about how AI and KM work together, it was experiencing the future of work in real-time.

3.       Deep Dive Learning That Sticks

Day four brought everything full circle as we worked through the companion Course Book from cover to cover. It’s called a Course Book by name, but it has been designed by me and my colleague Brandon to work much more like a Play Book. The user has lots of space and targeted exercises (e.g. generational analysis) to customise the course insights to their own situation.  I think the students found this systematic review incredibly valuable. It allowed them to connect all the dots from the previous days while reinforcing key course frameworks like Kotter's 8-step Transformational Change Model.

The feedback was overwhelmingly positive. This structured approach helped cement their learning and gave them a complete reference guide to take back to their organisations.

4.       A Living, Evolving Learning Experience

This course tries to break the mould of traditional KM education. Instead of static content, we demonstrate AI in action through live demos that evolve with each cohort. Each class brings fresh use cases to the party, which I then spend time transforming  into demonstrations for future classes.

The pace of innovation is so rapid that some students have jokingly (I think?) asked to return at Christmas just to catch upon the latest developments in the AI/KM landscape. This dynamic approach helps ensure that the course content stays at the cutting edge of what's possible.

5.       Career-Changing Momentum

By course completion, students seemed visibly energised. They could see multiple pathways to harness AI and significantly advance their positions within their companies by delivering measurable value. The transformation was particularly evident when we explored how traditional KM models like SECI (Socialisation, Externalisation, Combination, Internalisation) and Organisational Network Analysis reach entirely new levels of effectiveness when enhanced with AI. This is KM work that humans simply cannot do without AI.

I believe students left with more knowledge of how AI and KM in the workplace are symbiotic today, they had the confidence, practical tools, and a clear vision for helping their organisations become AI-ready, AI-first companies.
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Ready to Transform Your KM Practice?

Are you ready to move beyond theoretical discussions about AI and Knowledge Management to real, practical applications that will advance your career? Our latest course cohort just wrapped up, and the transformation was remarkable. This is what happens when knowledge management professionals discover how to harness AI's true potential.

If you're tired of wondering how AI will impact knowledge management and are ready to become a leader in this transformation, this course is designed for you. Join professionals who are already implementing AI-enhanced KM strategies and positioning themselves as invaluable assets to their organizations.

The future of knowledge management is here, and it's powered by the intelligent combination of human expertise and artificial intelligence. Don't just observe this transformation—lead it.

Ready to take the next step? Contact us to learn about upcoming course dates and secure your spot in this career-changing experience. Email: training@kminstitute.org.

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