The AI Context Advantage (Whitepaper)
In Unito’s AI Context Advantage whitepaper, you’ll discover:
- What AI context is and why it matters.
- Examples of cross-tool context that support AI tasks.
- Why a two-way sync is best for building AI context.
AI coworkers are only as helpful as their context
AI agents and chatbots have already transformed the way you work. They’re no longer just writing emails. They’re planning marketing campaigns, managing projects, and writing code. Every team has a new AI coworker.
But as AI takes on more complex work, they need higher-quality training data. General training data isn’t enough; they need training specific to the way your teams work. That’s AI context; the data specific to your organization that makes agents and chatbots more effective.
That context already exists. It’s just buried in your tools. Project management tools tell agents where your teams get blocked and what they do to overcome obstacles. Software development platforms have the code and documentation specific to your offering. Sales pipelines show how your team wins deals. Every tool you use, every bit of data you create, is part of that context. But AI can’t access it.
In Unito’s AI Context Advantage whitepaper, you’ll learn why AI context is so important, what it looks like across your tools, and how a two-way sync makes it better.