AI improves digital adoption by making user support more relevant and always available. Built into a digital adoption platform (DAP), it answers questions in natural language inside the application, adapts guidance to each user's role and actions, speeds up the creation of help content and analyzes usage data to reveal where employees struggle.
Key takeaways
- AI improves digital adoption by personalizing support, answering questions in natural language and analyzing usage.
- Combined with a digital adoption platform (DAP), it delivers help while the user is working in the application.
- AI complements training and support without replacing them: business experts validate content and set priorities.
- In the EU, the AI Act already requires AI literacy measures (since February 2025) and transparency obligations (since August 2026).
The digital transformation is a necessity for businesses. But what role can artificial intelligence play in supporting this change? Digital adoption platforms (DAPs), which increasingly include AI features, provide concrete and practical solutions. Discover how these innovative tools facilitate technology adoption by employees, boost engagement, and optimize performance. Properly governed, AI becomes a powerful ally in achieving digital transformation.
Can AI serve digital transformation?
Artificial intelligence, booming in many sectors, still raises many questions. However, far from replacing humans, it proves to be a valuable tool for businesses engaged in their digital transformation.
Simple definition of AI
AI refers to computer programs capable of performing tasks that normally require human intervention. Machine learning systems are trained on data to recognize patterns, then produce predictions, recommendations or content. We distinguish between weak AI, confined to specific tasks, and strong AI, which aims for general intelligence. Within businesses, weak AI is already proving useful for automating repetitive processes and analyzing massive volumes of data. With the rise of generative AI, conversational assistants are also changing support and assistance: they answer users' routine questions in natural language.
Definition of a DAP
Digital Adoption Platforms (DAPs) are software solutions that facilitate and accelerate the adoption of digital tools by employees. Specifically, DAPs offer personalized user journeys to help employees, suppliers, and customers train on and effectively use their business applications (CRM, ERP, HRIS, CMMS, etc.). Often described as application GPS, they are interactive and contextual: they integrate directly into the relevant interfaces and offer tailor-made journeys, adapted to the user. Many DAP vendors now build AI into their platforms, for example natural-language search, conversational assistants, help-content drafting or usage analysis, to make the user experience and tool adoption even easier. Here is what AI actually changes.
How does AI improve digital adoption?
In a digital adoption program, artificial intelligence is not an end in itself: it makes user support more relevant and more available. Its contribution focuses on four uses:
- Answering in natural language: an assistant built into the application answers routine questions ("how do I create a purchase order?") without the user leaving the screen. That matters: in a Gartner survey, 47% of digital workers said they struggle to find the information they need to do their job.
- Personalizing support: suggested content takes into account each employee's role, level and the actions already completed.
- Producing help content faster: generative AI drafts a first version of tutorials, help bubbles or quizzes, which business teams review and approve.
- Analyzing usage: usage data highlights abandoned steps, frequent errors and the user groups falling behind.
People stay in charge: AI suggests, business experts and the project team decide on content and priorities. This article covers AI serving the adoption of your tools. If your challenge is the reverse, getting your teams to adopt AI tools, read our guide to AI adoption with a digital adoption platform.
What will be the advantages of DAPs combined with AI?
Regardless of the organizations and sector of activity, Digital Adoption Platforms have proven their effectiveness. An overview of the main benefits of DAPs in the age of AI.
Easier Onboarding
The first advantage: DAPs offer adaptive user journeys that guide each employee according to their level and learning pace. With AI, learning content can be personalized in real time based on individual interactions. Specifically, employees will receive contextual instructions that guide them step-by-step in getting started with features. Help bubbles will appear at the right moment to explain how to perform an action. The journey will easily alternate between tutorial videos, engaging quizzes, and practical simulations directly within the tool. In case of error, instant feedback will help identify misunderstandings and correct them immediately. These positive reinforcements will further accelerate skill development.
More Effective Learning
DAPs with AI capabilities can analyze each user's interactions in detail. They can thus spot their weaknesses and sticking points on particular features. Thanks to these insights, the platform will then be able to draw from its library of educational content to provide the user with the resources best suited to their needs. This dynamic, engaging, and tailor-made learning approach will allow users to acquire the necessary knowledge and habits much more efficiently.
Increased Productivity
DAPs foster employee engagement in digital transformation. Employees quickly become agents of change, autonomous, and productive. Thanks to machine learning, task automation, and 24/7 assistance offered by chatbots, AI will enable users to accelerate their mastery of the digital solutions available to them and, consequently, improve their performance.
Contribution to Continuous Improvement
DAPs identify best practices by analyzing the journeys of the most effective employees. They thus contribute to the continuous optimization of business processes by promoting the dissemination of best practices. Thanks to the collected usage data, the AI at the heart of DAPs will also be able to precisely detect friction points in tool usage. These valuable insights will allow for continuous improvement of the user experience, on an ongoing basis.
Cost Reduction
DAPs can reduce training costs for companies: it is no longer necessary to mobilize teams for weeks, whether in-person or remotely. The empowerment offered by the platform allows everyone to learn at their own pace, when they need to. Furthermore, support services are less burdened due to the reduction in incident tickets. Return on investment is measured, among other things, by lower traditional training and support costs. If your company is engaged in a digital transformation process, choosing a digital adoption platform is key to facilitating mastery of business software and effectively engaging your employees. Artificial intelligence, now built into these application guidance systems, enhances their benefits, provided it is properly governed.
Knowmore supports companies in their digital transformation with its digital adoption platform K-NOW, K-STUDIO simulation-based training and K-VALUE adoption analytics. Simplify the adoption of your digital tools, accelerate your employees' skill development, and maximize your business performance. Discover our solutions.
What safeguards should you set when using AI for user support?
AI makes user support faster and more personal, but it also brings new risks for the quality of answers and for data. A few safeguards are needed:
- Check the answers: an AI assistant can produce a plausible but wrong answer; it must rely on validated, up-to-date documentation.
- Protect data: define which information the tool may process and where it is hosted.
- Comply with the AI Act if you operate in the EU: according to the European Commission's timeline, the AI literacy obligation has applied since February 2, 2025 and transparency obligations since August 2026; people interacting with an AI system must, in principle, be informed of it.
- Measure before scaling: compare usage rates, errors and support requests before and after switching on AI features, using software adoption KPIs.
Properly governed, AI replaces neither change management nor business experts: it makes them more effective, by focusing their time on the situations where users really need them.
Frequently asked questions
How does AI personalize software training?
AI personalizes software training by using each employee's role, application and past actions to choose what to show next: a walkthrough for a step that is often failed, a short video for a rarely used feature, or nothing at all for a task already mastered. In a digital adoption platform, this guidance appears inside the application, at the moment of need.
What is adaptive learning?
Adaptive learning is a training approach in which content, pace and difficulty adjust to each learner based on their answers and behavior. Applied to digital adoption, it means software guidance adapts to what each user already knows, so beginners get step-by-step help while experienced users only see what is new or error-prone.
Can AI replace user training and support?
No. AI can answer routine questions, draft help content and flag where users struggle, but it does not replace training design, change management or human support for complex cases. Business experts must validate the content an AI assistant relies on, and some topics, such as new processes or regulatory rules, still need explanation and practice with real people.
Which metrics show whether AI is improving digital adoption?
To see whether AI is improving digital adoption, track process completion rates, time to complete key tasks, data-entry errors, use of the AI assistant and its unanswered questions, and the volume of support tickets. Compare them before and after enabling AI features. Our guide on how to measure digital adoption explains the method.
Is an AI assistant in an internal application covered by the EU AI Act?
Yes, in most cases an AI assistant used inside an internal application falls under the EU AI Act. Organizations that deploy it must take AI literacy measures for their staff, and transparency rules applying since August 2026 require, in principle, that people know they are interacting with an AI system. A support assistant is not high-risk by default, unlike some HR uses.
Sources
- Gartner, "Gartner Survey Reveals 47% of Digital Workers Struggle to Find the Information Needed to Effectively Perform Their Jobs", press release, May 10, 2023
- European Commission, "AI Act" (regulatory framework and application timeline), updated October 19, 2026
- Eurostat, "Use of artificial intelligence in enterprises", Statistics Explained, data extracted December 2025
