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Maximizing the Tools That You Already Have



Before your organization buys another learning platform, another AI tool, or another piece of workplace software, it's worth asking a less exciting but more useful question: are we actually using what we already have?


The data suggests the answer, for most organizations, is no. Recent industry research found that 66% of an organization's application portfolio is either complete shelfware or running at half capacity. 21% sitting idle with zero meaningful usage, and another 45% underutilized, with organizations using less than half of the licenses they've already paid for. Other analyses put the number even higher: enterprises use only 47% of their licensed SaaS seats on average, leaving more than half unused and translating into millions of dollars in annual waste per organization.


This isn't just an IT budgeting problem. It's a learning and capability problem, because most of that unused potential isn't sitting in exotic, unfamiliar software. It's sitting in tools employees already have access to and simply don't know how to use well.


Why Tools Go Unused Even After They're Purchased


Underutilization rarely happens because a tool is bad. It happens because the gap between "purchased" and "adopted" never gets closed. Companies often get drawn in by an extensive feature list during a sales pitch, imagining transformative changes but when those features fail to fit smoothly into existing workflows or meet real day-to-day needs, the tool sits idle, waiting for someone to unravel its complexity and actually put it to work.


That gap tends to widen further with AI tools specifically. Because AI tools are frequently funded and rolled out as "experiments," they often escape the scrutiny applied to more traditional software purchases which means the training and structured adoption plan that would normally accompany a new tool gets skipped, and the tool quietly joins the pile of shelfware.


The Case for Better Use Before New Purchases


None of this means new tools are never worth buying. It means the order of operations matters. Organizations dealing with underutilization are consistently advised to start by auditing what they already have — comparing licenses and tools against actual usage before adding anything new, and to prioritize leveraging the tools with the broadest existing capabilities rather than immediately reaching for something new to "solve" the problem.


Applied to learning and development specifically, this reframes a common instinct. When employees struggle to keep up with new demands, the default response is often "we need a new platform" or "we need to buy an AI tool for that." But if 45-66% of existing tools are already underused, the more strategic first move is asking a different question: could this same problem be solved by teaching people to use what they already have, more fully and more intentionally?


What This Looks Like in Practice


Turning underused tools into real capability isn't primarily a technology fix, it's a design and training fix. A few patterns show up consistently in organizations that manage to close this gap:


  • Auditing before purchasing. Reviewing what's actually being used (and by whom) before adding another subscription to the stack.


  • Mapping tools to real workflows, not generic feature lists, training that shows employees exactly where a tool fits into work they're already doing, rather than treating the tool as a separate initiative.


  • Treating adoption as an ongoing process, not a one-time rollout, revisiting usage, gathering feedback, and adjusting training rather than assuming a single onboarding session is enough.


This is the same logic behind the DRIVE Human-Centered Design™ Method's approach to AI and digital tools. The goal isn't collecting more tools, but understanding real learner needs and workplace realities well enough to know which existing capabilities actually solve the problem at hand, and which don't.


The Bottom Line


Before your next tool purchase, it's worth pausing on a less flattering but more useful question: if we're only using half of what we already have, would the real fix be a new platform or a better framework for helping employees actually use what's already sitting in their toolkit? For most organizations, the honest answer is the second one, and it's usually the cheaper, faster path to real capability, too. Join us if you'd like to know more for Beyond Prompts a 90-minute interactive webinar happening this Friday, we'd love to have you there! Happening in 1 day, don't miss this out!


Beyond Prompts: AI Fluency and Responsible AI for Sustainable Learning
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August 14, 2026, 1:30 – 3:00 PMZoom Webinar
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