Different answers for different Slack channels

We have two exciting updates to share today that make your AI Agent even more precise and give your knowledge teams safer ways to collaborate:

📚 Categories: Smarter Knowledge Organization

For larger teams, one-size-fits-all answers don’t work. With Categories, you can organize your knowledge base so the AI delivers answers tailored to the right team, product, or market.

• Structure by need: Create categories like Product, Sales, Legal, Operations, or market-specific groups like US-Policies and EU-Policies.

• Context-aware answers: The same question can now have different answers depending on the channel and the category it’s linked to.

• Optimized for complexity: Keep everything in one system, but give each department or region the version of the answer that makes sense for them.

👉 Read more →

🎯 Channel-Level Control

Once categories are set up, you decide exactly how they apply in each Slack channel:

• Specific Categories Only → AI answers from selected categories

• No Answer Bank → skips Q&A bank, uses only integrated docs

• All Categories (Default) → searches across your full knowledge base

This ensures global consistency with local flexibility — ideal when different teams, product lines, or compliance zones require their own answer sets. One system, tuned automatically to context.

💡 Example

A Sales rep asks “What’s our refund policy?” and gets the customer-facing answer. An Ops manager asks the same question in their channel and sees the internal escalation steps.

🌍 Industry News

From $6B to $62B. Why Enterprises Must Act on AI Now

A recent Market.US report forecasts that the AI in Knowledge Management market will jump from $6.7B in 2023 to $62.4B by 2033 — a CAGR of 25%.

Here’s what that means in practice:

• Organizations that hesitate risk being crowded out, missing the window to build efficient, AI-powered knowledge workflows.

• The payoff isn’t just about cost savings — it’s about speed, relevance, and being able to shift critical employees from mundane task to high-value work.

• AI is no longer optional — it’s becoming a baseline capability in competitive enterprises. Teams using AI to organize, retrieve, and deliver knowledge will have the data foundation for the new age of operating a business.