AI adoption is outpacing the judgment needed to use it well.
Some professionals are hesitant. Others use AI without checking assumptions, protecting sensitive information, or recognizing when specialized expertise is needed.
ThincWith.me is ambient desktop software that helps professionals use AI with sound judgment while they work. It provides timely guidance inside supported AI tools. Zolvay is also developing privacy-conscious organizational insight into capability, adoption, and risk.
The macOS application is in production-candidate testing, with a Windows version in development.
How Zolvay Works
ThincWith.me provides guidance during real work. Privacy-conscious telemetry is designed to help organizations understand adoption and use. Integration with the Zolvay Score is in development.
What Adoption Looks Like Today
Across industries, the pattern is consistent
These are the patterns leaders describe.
AI is moving into daily work quickly. Many organizations are still building the capability to use it well.
That gap shapes whether AI becomes an advantage or a source of risk.
Adoption Is Uneven
Organizations are investing heavily in AI. Inside most of them, use is uneven. Some people lean in, some hold back, and few leaders can see the difference.
ThincWith.me is designed so that everyday work, not a separate test, is what shows capability at the individual, team, and organizational level.
As one state IT executive put it:
“The biggest thing we’ve struggled with is just getting engagement.”
The tools are available. Confidence and judgment take longer to build.
Adoption stalls when people hold back, and risk grows when people use AI without checking the work.
Access to AI is only part of the challenge. Organizations also need to develop workforce capability and sound judgment.
What Customers Taught Us
Our customer work confirmed that professionals value practical guidance and that organizations need clearer insight into how AI is being used. It also showed us that support works best when it stays close to the work. Those lessons shaped ThincWith.me.
These leaders helped us understand what capable, responsible AI use requires in practice.
Teams working on proposals needed help framing the task and the audience before drafting. That shaped how ThincWith.me coaches structure and clarity.
Leaders in government contracting asked for evidence that their people use AI responsibly. That shaped how Zolvay reports capability to an organization.
Public officials worked through long technical documents under deadline. That shaped the coaching around summarizing and checking source material.
Nonprofit teams write for funders who expect precision. That shaped the coaching around audience, evidence, and claims.
Technology leaders described uneven engagement and policy that did not change behavior. That shaped the enterprise dashboard’s focus on adoption patterns and areas that need support.
Teams working on proposals needed help framing the task and the audience before drafting. That shaped how ThincWith.me coaches structure and clarity.
Leaders in government contracting asked for evidence that their people use AI responsibly. That shaped how Zolvay reports capability to an organization.
Public officials worked through long technical documents under deadline. That shaped the coaching around summarizing and checking source material.
Nonprofit teams write for funders who expect precision. That shaped the coaching around audience, evidence, and claims.
Technology leaders described uneven engagement and policy that did not change behavior. That shaped the enterprise dashboard’s focus on adoption patterns and areas that need support.
Why Now?
Organizations are adopting AI while policies, expectations, and patterns of use are still evolving.
Leaders need practical ways to support employees, protect sensitive information, and understand where adoption is working and where additional guidance is needed.
Some organizations are experimenting. Some are hesitating. Some are quietly disengaging.
Zolvay is building a privacy-conscious way to help organizations understand and strengthen AI capability.
From Individual Behavior to Organizational Insight
The enterprise dashboard organizes privacy-conscious usage signals into views that help leaders examine adoption, capability, and areas of risk.
- •Adoption patterns across teams and roles
- •Capability trends over time
- •Areas where teams may need support
- •Patterns that may warrant additional guidance or review
Current dashboard measures draw from Zolvay’s web-based experience. Integration of ambient desktop signals is in development.
Schedule a Conversation
Talk with us about responsible AI adoption across your workforce.
Or reach us directly at info@zolvay.com