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AI-pilling our company

Source
x.com
Author
Neil Rahilly
Date

Context

Sierra combined its departmental AI assistants because employees' requests often crossed departmental boundaries. In Neil Rahilly's account of the rollout, one internal assistant now works across company systems, so employees need not decide which specialist to approach.

The assistant also updates the actual work product, such as a presentation, while existing business systems retain their records. This gives employees a common way to request work without creating a second copy of company information inside a chat tool. Rahilly reports substantial use, but explicitly says the company has not yet developed a good measure of the resulting business outcomes.

Key takeaways · AI-distilled
  • One agent beat four not because names confused people, but because the valuable work crosses departments. Departments exist since no one person can do a whole job; an agent that completes work end-to-end doesn't need that split.
  • The trigger was engineers running agents in parallel via git worktrees with Claude Code and Codex and getting roughly 5x more done on some tasks, which is what justified a six-person team to spread it company-wide.
  • The bottleneck moved from intelligence to . Frontier models are already smart enough for most business tasks; what they lack is your workflows, your history, and judgment calls absent from any training set.
  • Two people wired a data-analyst agent to Slack, GitHub, ClickHouse, Salesforce and PagerDuty over (Model Context Protocol). It investigated customer issues across all five in minutes, work that used to take an afternoon.
Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
Key quotes

“That's technically hard, but that's the point of AI: technology absorbs the complexity, not the employee.”

“The goal isn't more notifications. It's less work arriving unfinished.”

“Today, frontier models are capable enough for most business needs. So the bottleneck has moved to context: what's specific to your company, your workflows, your history, the judgment calls that don't show up in any training set.”

“An unrestricted agent is a massive security and privacy risk.”

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