Knowledge agent

There has to be a shift in how we think about documentation. Documentation has always been about humans writing for other humans. A consultant painstakingly writes a requirements document, a stakeholder reads it, the team skins it maybe, but with agents, this is going to change dramatically. Agents are going to produce a ton of documentation for other agents to consume.

In a world with agents, documents aren't just deliverables for people to review. They're inputs that agents consume to do downstream work. A requirements doc captured from a discovery call isn't a summary for the project lead. It's what the configuration agent reads to set up the environment.

A migration transformation doc isn't an audit trail.

It's what the migration agent uses to transform and validate data. Agents are now primary creators and primary consumers of documentation. And this documentation becomes a critical layer about your customer for your agents.

And documentation is this important to the AI world. It simply cannot work the same way as it does today. Let's face it. Capturing knowledge has enormous friction.

You want a twenty page sales handoff from the sales team, but you'll be lucky to even get a few paragraphs in the CRM. And the truly, truly maddening part is that all this information already exists. It's already been spoken about or written about, and it still doesn't make it to the person or the agent that needs it. Knowledge agents drop the barrier to creation to zero.

Not low, zero. Knowledge gets captured the moment it's created. As soon as the deal is won, the sales handoff document is generated. No one has to remember to write anything down.

And retrieval becomes instant through multiple parts. You can build agents that automatically pull the right context before a project kicks off or a migration starts. You can also ask questions directly. How did we achieve compliance requirements for these other fintech customers?

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