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Measuring AI Adoption

AI apps are growing at a blistering pace in the digital workplace. Produce8 helps you follow their adoption lifecycle to see what’s growing, what’s plateauing, and what is beginning to decline. You also get visibility into data exposure risks so you can back innovation with governance.

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What You Can’t See, You Can’t Manage

Teams are experimenting with standalone AI tools like ChatGPT, Claude, and Perplexity to automate tasks, draft content, or get insights. Some tools gain traction and become part of workflows. Others never realize their potential.

At the same time, these tools may ingest or expose sensitive data without your knowledge. Without visibility, you can’t answer:

  • Which AI tools are being used and by whom?
  • How is adoption evolving over time?
  • Which tools may pose data or compliance risk?
  • When to invest, scale, train or retire tools?
  • If there are indications of employee workflows being augmented by AI?
  • Which employees and teams are driving innovation?

So you need to think about tracking AI adoption and how these tools reshape work patterns.

What if you could quickly answer the most basic questions about AI adoption?

Produce8 will give you visibility into the full lifecycle of AI tools - from early use to maturity to decline. You’ll also have a better understanding of the exposure risks tied to these tools so you can support safe innovation.

App Summary Metrics

Key eye on high level usage metrics to see how AI tools are growing compared to the rest of your tech.

Detailed App Trends

View app usage over up to a year in daily, weekly and monthly time segments for users, interactions and time spent. Includes departmental usage trends.

AI app categorization to view across tools

Produce8 allows companies to define categories for their tools and track aggregated consumption in those categories.

Study team adoption with department level metrics

Teams use different tools and in different ways. Viewing any A.I. tools from that context can help you spot new trends in increasing or decreasing usage.

How it Works

  • Step 1 - Identify AI Tools
    Produce8 detects usage of standalone AI tools across browser and desktop systems, regardless of license or approval.
  • Step 2 - Track Adoption and Risk
    Measure usage trends over time. Overlay risk indicators like data exposure potential or frequency of sensitive input to flag tools needing scrutiny.
  • Step 3 - Support Better Usage
    Decide which tools to support with training or governance, which to monitor closely, and which to phase out or restrict.

What You'll Learn

Produce8 gives you an understanding of the adoption of any standalone AI app being leveraged by knowledge workers

  • Which tools are in use
  • User counts and trends over time
  • Patterns of growth, plateau, or decline
  • Visibility into applications that pose data risk
  • Overlap or duplication between AI tools

Ready to Get Started?

AI Adoption Tracking gives you visibility into both user behavior and data risk so you can support innovation that is safe and sustainable.

Explore more use cases

Tracking Shadow IT and Innovation

Measuring Technology Usage

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