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title: Enterprise AI Enablement: Salesforce's Agentic Strategy
description: Salesforce's Technology, People, Innovation, and Learning (TPIL) team shares how they scaled agentic AI adoption across thousands of engineers. Rather than...
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# Enterprise AI Enablement: Salesforce's Agentic Strategy

**[Salesforce Engineering](https://daily.dev/sources/salesforceeng)** · 9 min read · 2 upvotes · 0 comments

## Summary

Salesforce's Technology, People, Innovation, and Learning (TPIL) team shares how they scaled agentic AI adoption across thousands of engineers. Rather than treating it as a technology rollout, they framed it as an organizational learning challenge. They developed a four-level Proficiency Level (PL) Framework — AI-Assisted, AI-Validating, AI-Orchestrating, and AI-Native — grounded in mindset and behavior change rather than tool-specific metrics. Supporting programs included AI camps, weekly coaching sessions, and manager guides. Success was measured not by course completion but by observable shifts in how engineers thought and asked questions about their work. Four key principles emerged: scale shared expectations before scaling practices, treat proficiency as a journey not a certification, measure behavior change over attendance, and prioritize learning culture over any single framework.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://engineering.salesforce.com/how-salesforce-built-an-agentic-engineering-enablement-strategy-for-thousands-of-software-engineers>

## Questions this post answers

### What are the four proficiency levels in Salesforce's AI coding maturity framework?

Salesforce's Proficiency Level Framework defines four stages: AI-Assisted, where engineers begin treating AI as a first collaborator; AI-Validating, where they shift to verifying rather than blindly trusting AI output; AI-Orchestrating, where they design systems of multiple agents working together; and AI-Native, where they codify their workflow as a shared organizational standard.

_Engineers mapping their own growth with agentic tools can track how these stages evolve on daily.dev._

### How does Salesforce measure whether engineers are actually changing their behavior with AI tools, rather than just attending training?

Salesforce's learning team tracked the changing nature of questions engineers asked in weekly AI sessions rather than attendance or course completion. As engineers progressed, questions shifted from how to get better outputs from AI toward where human judgment still mattered most, signaling a deeper change in how engineers thought about their work, not just tool usage volume.

_Teams designing AI enablement programs can compare behavior-based metrics like this on daily.dev._

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---

Tags: [#productivity](https://daily.dev/tags/productivity), [#salesforce](https://daily.dev/tags/salesforce), [#company-culture](https://daily.dev/tags/company-culture), [#agentic-ai](https://daily.dev/tags/agentic-ai)

[View this post on daily.dev](https://daily.dev/posts/enterprise-ai-enablement-salesforce-s-agentic-strategy-jyyjenl0j)

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