MinScrip

AI-Driven License Usage Detection

Let AI Spot License Waste Before You Do

It’s not just about logins; it’s about actual usage. Your tool uses AI to track how employees engage with licensed software, helping you identify under used tools and adjust licenses proactively.

What You Can Do with Usage Detection
  • Track feature-level engagement by seeing how often users interact with core features, not just whether they log in.
  • Break down usage by role or team to understand if engagement aligns with each user’s responsibilities.
  • Spot early signs of disengagement by detecting drop-offs even before users stop logging in.
  • Act on AI recommendations with alerts like “User hasn’t accessed Feature X in 60 days.”
  • Scale analysis across all licenses by letting AI sift through large volumes of data and flag what needs attention.

Underused License Detection

Spot and Cut Underused Licenses Automatically

Unused licenses eat into your budget. The tool automatically identifies licenses that go unused, are misassigned, or sit idle, so you can optimize your spend without lifting a finger.

What You Can Do with Underused License Detection
  • Identify unassigned or legacy licenses by flagging accounts tied to former employees or inactive users.
  • Track low activity on premium plans to see when users aren’t using the features they’re paying extra for.
  • Identify licenses that have not been used for 30, 60, or 90+ days.
  • Adjust seat counts proactively with alerts that show when you’re overpaying for unused capacity.
  • Act based on priority using smart severity scoring to focus first on high-impact underuse.