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14 LLM Prompts to Jumpstart Your AI Governance Framework
If you’re anything like the CIOs I’ve been speaking with, you’re about to kick off an AI Council and put together a framework that balances AI risk & reward. But before you can expect your AI Council to have any meaningful output, you’re going to need a lay of the land.
Read MoreIntroducing AI Visibility Views: Find Your AI Starting Line
If you’ve ever sat down for some good, clean, honest AI Governance and thought to yourself “Where do I even start?”, we get you. AI sprawl is real, and even the most organized teams can feel like they’re chasing shadows. See what I did there? Shadows? Nevermind, let’s move on. That’s why we’re introducing AI…
Read MoreNew in AI Visibility: Prioritize In-Use Apps, Reveal Crucial Context, Codify AI Governance.
Shadow AI happens faster than governance. And since Shadow AI isn’t a single rogue tool, governance fails at the handoff when status is unclear, decisions are implicit, and the “why” lives in someone’s head. IT, Security, and Legal teams need to conduct timely reviews by referencing what tools are allowed, what’s being used, and the…
Read MoreNew in AI Visibility: Columns and Bulk Updates
AI is already in your stack. The question isn’t whether employees are using it, it’s whether you can see, govern, and deploy it confidently. To roll out AI safely, IT needs a trusted source of truth to identify where it shows up in your stack. AI Visibility now surfaces additional context so ownership, spend, risk,…
Read MoreShadow AI is already here. Now you can actually see it.
Over the last year, nearly every SaaS vendor has shipped AI features into their products (often quietly), and each feature can have real implications for your company’s data. IT is being asked to enable innovation with AI, measure adoption of AI, and manage the risk of AI…all at once. But there’s no standard way to…
Read MoreShadow AI Is the Fastest-Growing Blind Spot in Your Tech Stack
Shadow IT is so 2020. These days, it seems like every software vendor is bringing an AI-powered product to market, and as every IT pro knows, signing up for a sleek AI tool is never a one-way street. Unseen, unapproved, and unmonitored, AI processes pose a significant threat to company data, customer privacy, and a…
Read MoreIntroducing App Comparison: AI-Powered Duplicate Detection for Your SaaS Portfolio
Starting today IT leaders who use Productiv can compare “duplicate” apps inside their portfolio with our AI-powered description of applications. As IT teams strive to consolidate their app portfolio and eliminate duplicate applications, they often encounter unfamiliar apps, making it difficult to identify overlapping capabilities. Productiv customers now have a simple, automated way to get…
Read MoreCoda vs. Notion: What Enterprise Engagement Data Reveals About Your Collaboration Strategy
Access vs. Adoption: Understanding the Metrics That Matter Forget the marketing hype and feature comparison charts — are your teams actually using the apps in your tech stack? We see a lot of IT departments identifying apps with similar capabilities. Many companies license both Coda and Notion (we’ll get into why duplicative apps dominate SaaS…
Read MoreWhy duplicative SaaS apps are dominating your tech stack
Is your company wasting money on duplicative SaaS apps or features? Learn how to identify redundant tools and boost adoption within your existing stack.
Read More9 SaaS statistics IT leaders need to know in 2025
From shrinking SaaS portfolios to AI integration, these 9 critical statistics will shape IT strategy and help leaders make informed decisions in 2025.
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