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# Atlassian people chief Avani Prabhakar calls AI mandates a ‘very bad start’

**[The Next Web](https://daily.dev/sources/tnw)** · 4 min read · 0 upvotes · 0 comments

## Summary

Tying AI usage to performance mandates is 'a very bad start' because people start gaming it, Atlassian's chief people and AI enablement officer Avani Prabhakar said. One AI 'super user' using advanced features 40+ times a week lifts a whole team's AI usage by 56%. Every employee gets a monthly AI 'wallet', and Atlassian's internal context layer, the Teamwork Graph, cut Claude's token use by 48% while raising accuracy 44%. A Stanford partnership found graduates make AI-based decisions 19% more effectively than senior managers.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/avani-prabhakar-atlassian-ai-super-users-tnw-podcast>

## Questions this post answers

### How much did Atlassian's internal context layer reduce AI token usage by?

Atlassian's internal context layer, called the Teamwork Graph, cut token use by 48% when Claude was directed to search only that graph instead of broader sources. Accuracy also rose by 44%. The graph pulls together knowledge, conversations, people, assets and code into one unified structure for AI to query.

_Teams optimizing AI costs and accuracy can compare context-layer approaches like this one on daily.dev._

### Why does Atlassian avoid mandating AI usage for employees?

Atlassian's chief people and AI enablement officer Avani Prabhakar calls performance-tied AI mandates 'a very bad start' because employees start gaming the requirement rather than genuinely adopting the tools. She argues ROI should be an outcome of good AI use, not an entry fee required before experimentation is allowed.

_Leaders designing AI rollout policy can weigh real-world approaches like this one on daily.dev._

### What is an AI 'super user' according to Atlassian's internal definition?

Atlassian defines a super user as someone who uses AI's most sophisticated features more than 40 times a week to change how they work. Having one such super user in a team of five to seven people lifts the whole team's AI adoption and usage by 56%, according to the company's internal tracking.

_Teams measuring AI adoption patterns can track findings like this on daily.dev._

## Similar posts on daily.dev

- [From support function to AI leader: Atlassian’s blueprint for HR-led transformation](https://daily.dev/posts/from-support-function-to-ai-leader-atlassian-s-blueprint-for-hr-led-transformation-jyxhzfeei) · Atlassian · 1 upvotes · 0 comments
- [Creating AI value with enterprise context](https://daily.dev/posts/creating-ai-value-with-enterprise-context-gz2aeizut) · MIT Technology Review · 0 upvotes · 0 comments
- [Amazon warns its engineers against tokenmaxxing in new AI guidelines](https://daily.dev/posts/amazon-warns-its-engineers-against-tokenmaxxing-in-new-ai-guidelines-3jxkbamrt) · The Next Web · 3 upvotes · 1 comments

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