I'm the CIO of a mid-market company (~1,200 employees) and we're spending $4M+ annually on SaaS tools, but I suspect utilization is abysmal. I want to use AI to analyze actual tool usage patterns across the organization - who's using what, what's shelfware, where teams have redundant tools, and where adoption is failing. I need a plan to go from 'we have no visibility' to 'we have AI-powered dashboards that show adoption health and recommend consolidation.'
Plan for: Use AI to Analyze and Improve Enterprise Tool Adoption Across Your Company
Manual spreadsheets may contain outdated, inaccurate, or missing contract details, leading to skewed AI recommendations.
Designate a finance or procurement lead to validate the top 20% of contracts (which usually represent 80% of the spend) before uploading.
Discovering massive amounts of 'Shadow IT' (unauthorized tools) via Google Workspace OAuth scopes that overwhelms the IT team.
Configure the SMP to initially filter and focus only on tools costing over a certain threshold or with more than 10 users to avoid alert fatigue.
Vendor evaluation and Infosec reviews drag out, jeopardizing the 3-6 month operational timeline.
Involve Infosec and Legal early in Step 2 during the evaluation phase, rather than waiting until Step 3.
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