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Back to AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess, with Alex Lieberman & CJ Hess.

Why Do Most Enterprises Lack an AI Agent Outside Engineering?

Alex Lieberman says enterprise adoption of AI looks like milestones in a race, and the drop-off is steep. Of about 100 enterprises Tenex is talking with, about 90% have rolled out Claude or Codex to employees. Teaching people how to use it, which he treats as at least as important as the technology, is around 60%. Coding agents inside the engineering org are closer to half of those companies, not the 70% or 80% people at the conference guess.

Agents in production for work that is not building software fall to about 5%. Most of the enterprises they talk with that have more than 1,000 employees do not have an agent in production doing non-engineering work. The common request is still an agent for a back-office task, which is why much of Tenex's work is now putting agents into production for repeatable work outside the engineering org.

Transcript

AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess ·

Latent Space: The AI Engineer Podcast

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  1. What Does Paying Engineers for Outcomes Mean?CJ Hess says paying engineers for outcomes means rewarding output instead of hours, because hourly client work paid him less as his output got better and…
  2. What Do Fortune 2000 Companies Ask Tenex to Do?Alex Lieberman says Tenex started as an AI-powered dev shop about 18 months before this conversation, because engineering looked like the canary for AI.
  3. What Is Tenex's Meta-harness?CJ Hess describes Tenex's meta-harness, the engineering workflow used for long-running tasks.
  4. How Much Do Companies Spend on AI Tokens Per Employee?Shawn Wang says most companies spend about $10 to $200 per employee on AI tokens. AI-native companies turn the comparison into a percentage, roughly 10%.
  5. Why Do AI Agents Need a Standard Process First?Alex Lieberman says you can't automate a process that does not exist.
  6. Why Won't Large Companies Rip Out Salesforce and SAP?Alex Lieberman says ripping a system out and rebuilding it gets harder as a company moves up market, and he does not agree that Salesforce or SAP is really at…

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