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.

By training an AI on a former employee's work history (emails, Slack, documents), companies can create a "replicant" that retains their institutional knowledge. This "zombie" agent can then be queried by current employees to understand past decisions and projects.

An organization's strategic thinking is often fragmented across Slack, meeting notes, and documents. An AI agent can be tasked to consume these disparate sources and synthesize them into a coherent plan, like a go-to-market strategy, achieving an 80-90% complete draft in minutes.

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.

Technical onboarding for new leaders has been transformed. Instead of relying on engineers for ad-hoc explanations, a CPO can now use AI tools to have "long conversations" with the codebase, gaining a deep understanding of the technical architecture quickly and without interrupting the team.

To make company strategy more accessible, Zapier used Google's NotebookLM to create a central AI 'companion.' It ingests all strategy docs, meeting transcripts, and plans, allowing any employee to ask questions and understand how their work connects to the bigger picture.

A key practice at OpenLoop is making all meeting transcripts available to everyone in the organization. This radical transparency creates a massive, shared knowledge base that can be queried by AI systems, allowing employees to access information and context from meetings they didn't attend.

With AI, codebases become queryable knowledge bases for everyone, not just engineers. Granting broad, read-only access to systems like GitHub from day one allows new hires in any role (product, design, data) to use AI to get context and onboard dramatically faster.

The ultimate value of AI will be its ability to act as a long-term corporate memory. By feeding it historical data—ICPs, past experiments, key decisions, and customer feedback—companies can create a queryable "brain" that dramatically accelerates onboarding and institutional knowledge transfer.