Go beyond stated values by using AI tools like Granola to analyze meeting transcripts in aggregate. This generates an "unspoken culture handbook" that reflects how your team actually operates, revealing gaps between stated and practiced values and providing a data-driven basis for hiring rubrics.

Ramp created an internal AI tool that acts as a wrapper around an LLM. It's connected to Notion, Slack, and Snowflake, building a persistent memory of team activities and individual work styles. This "company brain" can diagnose business issues, summarize communications, and draft meeting prep in minutes, not weeks.

The foundation of an AI-native company is a "brain"—a central context layer where all company information (SOPs, meeting notes, emails) is captured, curated, and structured. This makes the company's knowledge "readable" to AI agents, giving them the perfect vision to execute tasks.

To design a company for AI agents, enforce a culture of clear, precise writing in public channels like Slack. This "ambient signaling" creates a rich, contextual knowledge base for future agents to act upon. This is supported by a no-meetings, no-PM culture to maximize written output.

CEO Brad Jacobs uses AI to automatically take notes and generate summaries from important meetings across his company. This technology provides him with near-instantaneous, unfiltered insights into operations and challenges that previously would have taken months to surface through the corporate hierarchy.

Remote work's inherent documentation—recorded meetings and transcripts—creates a comprehensive dataset ideal for training a corporate AI 'brain.' In contrast, in-person work loses valuable context from unrecorded hallway conversations, leading some founders to re-evaluate their return-to-office mandates.

Companies with an "open by default" information culture, where documents are accessible unless explicitly restricted, have a significant head start in deploying effective AI. This transparency provides a rich, interconnected knowledge base that AI agents can leverage immediately, unlike in siloed organizations where information access is a major bottleneck.

Instead of manual note-taking, use AI tools to transcribe and summarize all meetings. This creates a unique, searchable knowledge base from your conversations, which can be leveraged to improve preparation, follow-ups, and decision-making over time.

For an AI agent to be effective, "context" isn't just data access. It's understanding an organization's fluid, internal shorthand—definitions, acronyms, and unwritten rules like "top spenders in EMEA." This evolving knowledge is often buried in emails and meeting transcripts, not formal documents.