Data and Context
Posts filed under Data and Context.
Topic
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How I Built AI That Could Work Across My Company
My shared agent system gives people company instructions and client history without giving everyone the same access. The hard part is deciding who can see or change what.
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You Bought Automation and Installed a Guess
AI works best when you give it a small piece of information work, not the whole responsibility. Start with the real source, a clear check, and one person who owns the result before you give the system more to do.
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Your AI Can Find the Record. That Doesn't Make It the Answer.
At Berry, we keep the sales and onboarding conversations available to the agent so it can follow what changes. But we still have to decide what counts as an agreement and what proves the work was done.
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AI Enablement Is a Loop, Not a Roadmap
AI enablement means changing the data, the process and the tools until the business gets a result. We had to stop giving a supervisor pages of reports and show him who needed help instead.
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Document the Process First, or the Agent Scales the Chaos
Our first agent impressed everybody and changed little because the job still lived in managers' heads. Useful work started when we wrote that knowledge down.
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What Is an AI Employee?
An AI employee is a role your firm has to define and support. The hard part is checking the work before it consumes the senior time you meant to free.
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Your AI Is Just a Better Google Search
If AI can't reach your company information, you keep carrying the work into and out of a chat. Connect one workflow safely, write its rules and check whether the whole job improves.
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What Is an AI-Native Service Business?
An AI-native service business uses shared company knowledge for AI to do repeatable production work, while people review the result and own judgment. Check how the work runs, not which tools the firm buys.