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Experts live - Improving user adoption with AI
- 1. Elise van denBosch Enhancing Modern Workplace Efficiency: Improving user adoption with AI Jeroen van Steijn
- 3. Elise van den Bosch Change-& Adoption consultant Jeroen van Steijn Team Lead Data & AI Speakers
- 4. o Prepare forthe age of AI; o Examples of AI in the present day. Improving User Adoption with AI
- 5. 1. Fears ofan adoption consultant What are we going to discuss? 3. Insight in the adoption process 2. Adoption without AI 4. Practical examples
- 6. “Can AI provide personaltouch?” “A bot is not going to provide classroom training!” “A Bot will not be able to do Floor Walking” “Will AI eventually take over my job?” An adoption consultant's fears
- 7. Manual adjustments Individual wishesand demands Material is quickly outdated Custom work is a lot of effort and time Adoption challenges
- 8. Adoption Process AT-A-GLANCE PREPARATION o Projectplans o Communication BUILDING A TEAM o Project Team o Key-user network INSTRUCTION o Training o Instruction material AFTER CARE o Floorwalking o Meetings EVALUATION o Conducting reviews o Analyzing o Improving 08
- 9.
- 10. 1. Preparation Actions o Adoptionplan o Communication plan Challenges o Writing plans = time consuming o Aligning plans with customers needs o Aligning plans with organization and sector
- 11. Example Phase 1Preparation: AI Solution: CoPilot / ChatGPT
- 12. Example Phase 1Preparation: AI Solution: CoPilot / ChatGPT
- 13. AI Solution: CoPilot/ ChatGPT 1. Ask one thing at a time 2. Provide context 3. Use the right model for the job See all the great content available for the adoption of AI!
- 14. 2. Building aTeam .. .. ..
- 15. 2. Building aTeam Actions o Forming project team o Forming a key-user network Challenges o High level of involvement o Not always available
- 16. Example: Phase 2Building a Team AI Buddy & SharePoint knowledge base
- 17. Example: Phase 2Building a Team AI Buddy & SharePoint knowledge base
- 18. Example: Phase 2Building a Team AI Buddy & SharePoint knowledge base
- 19. Example: Phase 2Building a Team AI Buddy & SharePoint knowledge base SharePoint AI Buddy Where do I store files? 1. OneDrive 2. SharePoint 3. Teams I Message Where to store files? 1. OneDrive 2. SharePoint 3. Teams
- 20. Feedback loop o Integratethe 'Adoption buddy' with manuals; o Missing information is returned as feedback; o Using Copilot to update the manual.
- 21.
- 22. 3. Instruction Actions o Training oInstruction material o FAQ’s o Videos o Roadmaps Challenges o Customization o Solutions are always changing
- 23. Example Phase 3:Instruction: AI Solutions: Personalized Manuals
- 24. Example Phase 3:Instruction: AI Solutions: Personalized Manuals
- 25. 4. After Care .... ..
- 26. 4. After Care Actions oFloorwalking o (Digital) meetings Challenges o Lowering resistance to change o Time consuming
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- 28. 5. Evaluation Actions o Conductingreviews o Evaluation forms o Feedback loops o Analyzing & Improving Challenges o Improving based on feedback o Summarizing feedback
- 29. Example Phase 5:Evaluation AI Solution: analyze evaluations
- 30. Example Phase 5:Evaluation AI Solution: analyze evaluations
- 31. Conclusion o Not everythingis solved with AI; o Adoption can become more personal by using AI; o AI is about providing a more valuable experience.
- 32. Our advice • Startwith utilizing AI so that you: o Understand what AI can and cannot improve; o Start improving your adoption process today!
- 33. THANK YOU Are thereany questions? Please evaluate this session in the App.
Editor's Notes
- #4 Can you see the difference between AI and realife? How clear was it? Onszelf voorstellen. Elise en Jeroen. Jeroen: Hoe is deze video gemaakt? Elise: Hoe is dit onderwerp tot stand gekomen? Elise van den Bosch Adoptie consultant en Jeroen van Steijn Team Lead Data & AI samen op podium. Door naar de volgende slide
- #5 Why this topic? Prepare and equipe for the age of AI Tangible examples to assess the advantages of AI in the present day
- #6 4. examples of how AI can support the adoption process
- #16 - Zet hier goed neer wat key-users zijn, wie dat normaal doen in een adoptieproject (misschien een praktisch voorbeeld) en waarom het een probleem is als het veel tijd kost voor hen.
- #17 1st-line support: instead of a key user, you go to the chatbot. Is not a replacement for the key user, but is a reduction of the required effort for low-hanging fruit: thus you need fewer key users and depend less on their time. When they do have the time, they can spend it on the important issues instead of the simpler questions. If a question was not yet answerable, it can be added to a knowledge base so that all other users can also get an answer to it, not just the one-to-one between key user and user. Writing manuals has become more valuable. These manuals can be the baseline for your AI to base it’s answers on. This way you create a new ‘buddy’ that can answer all of the first line questions of the users in your adoption project.
- #18 1st-line support: instead of a key user, you go to the chatbot. Is not a replacement for the key user, but is a reduction of the required effort for low-hanging fruit: thus you need fewer key users and depend less on their time. When they do have the time, they can spend it on the important issues instead of the simpler questions. If a question was not yet answerable, it can be added to a knowledge base so that all other users can also get an answer to it, not just the one-to-one between key user and user. Writing manuals has become more valuable. These manuals can be the baseline for your AI to base it’s answers on. This way you create a new ‘buddy’ that can answer all of the first line questions of the users in your adoption project.
- #19 1st-line support: instead of a key user, you go to the chatbot. Is not a replacement for the key user, but is a reduction of the required effort for low-hanging fruit: thus you need fewer key users and depend less on their time. When they do have the time, they can spend it on the important issues instead of the simpler questions. If a question was not yet answerable, it can be added to a knowledge base so that all other users can also get an answer to it, not just the one-to-one between key user and user. Writing manuals has become more valuable. These manuals can be the baseline for your AI to base it’s answers on. This way you create a new ‘buddy’ that can answer all of the first line questions of the users in your adoption project.
- #21 - Geef de mogelijkheid om feedback op je ‘buddy’ te geven. Zo herken je een ‘gat’ in de adoptie. Hier kun je vervolgens zelf op acteren, of je kunt de AI aan(laten) vullen. - With key-users, you are not sure you will receive feedback when some policy or manual is missing. But with an AI buddy, you can continously monitor and improve. - Integreer de ‘Adoption buddy’ met de handleidingen, doordat de handleidingen je kennisbank zijn. Als een vraag niet te beantwoorden was moet dit als feedback teruggegeven kunnen worden door de user. Vervolgens vul je samen met je copilot de handleiding weer aan.
- #23 Adapting to customer needs
- #29 Summarizing feedback, from open answered questions, especially with a lot of different opinions, is hard and time consuming.
- #32 Increasing value: - Content is more personalized to specific needs. - Content is more up-to-date. The adoption process is more automated and iterative improvements can be made more easily. AI is not about cutting costs but about providing a more valueable experience
- #33 Increase your understanding of what AI can and can not solve. Are prepared for a future where AI gradually takes over some of these automatable tasks and free up your time. Can start improving the value of your adoption process today!