The Software and AI Adoption Challenge
Organizations invest in software and AI tools but struggle to get teams using them effectively.
- Most organisations are investing in AI without knowing where it will deliver the most value.
- Employees adopt AI tools in the browser faster than IT can track or govern them.
- Where AI tools are deployed, adoption is patchy and productivity gains are unclear.
Traditional training fails because it can’t help people in the moment of need. Software and AI tools sit unused without ongoing, contextual support.
Steps to Better
Software and AI Adoption
Find where AI can help
- HEART Score surfaces the processes with the most friction and the highest training burden
- Portfolio Overview ranks where AI investment will have the biggest impact across your application estate
Detect and govern shadow AI
- App Discovery maps the AI services employees use in the browser, sanctioned or not
- Spot Gemini, ChatGPT, or any other model alongside your contracted AI provider
- Reduce data leakage risk and align spend with your governance policy
Measure AI adoption
- HEART Score and audience analysis show AI adoption by team, role, and site
- See which parts of the business are getting value from your AI investment and which need support
Drive AI adoption
- The Assistant answers questions inside any application, using the documentation you already maintain
- In-app guidance helps people through new AI workflows without classroom training
- Announcements tell people about new AI features as they roll out
Proven Impact
-
Understand what works
Enterprises average 200+ applications while only 53% deliver measurable value. -
Proven adoption patterns
Built on expertise from enterprises that successfully improved software adoption at scale. -
Portfolio-wide control
One platform governs your entire software estate from shadow IT to enterprise systems.
87%
User adoption rate achieved with Userlane
97%
More efficient training processes
48%
Reduction in support tickets
5x
Increase in employee productivity and software adoption