AI Adaptation Research Report — TEAM (Atlassian Corp) · WhiteSwan constituent

EventTrader research desk · generated 2026-11-05 04:01 UTC · report ai-adapt-team-20261105 · narrative: built from the evidence pack by the platform

1. Verdict

• TEAM (Atlassian Corp) is a WhiteSwan constituent: its own filings document AI inside the product or operations with investment behind it, and its AI Adaptation Score ranks at the top of the software companies (SIC 7370–7379) on the 2026-11-05 run [S5].
• The score rests on the company's 10-K filed 2026-08-14, read in full by the platform's scorer [S1].
• Adoption level 3 — integrated on the 0–4 rubric, confirmed by a model read with credibility 5.0/10 [S1].
• AI Adaptation Score 59.2 / 100, percentile 99.2 of 6503 scored filers and 94.9 within its sector (software, 585 filers) [S5].
• What would move it: a next report that withdraws the deployments, investment or outcomes it now states [S1].

2. The company

Atlassian Corp files with the SEC under CIK 1650372, SIC 7372 (Services-Prepackaged Software), listed on Nasdaq [S4]. The filing the score reads is the 10-K filed 2026-08-14 for the period ended 2026-06-30, effective for the books from 2026-08-17 [S2].

3. What the filing says about AI

The scorer found 94 AI-related sentences in the 10-K: 50 in the substantive sections (business, management's discussion) and 44 in the risk factors [S1]. Signals counted in the substantive text: proprietary-model language 1, deployments 6, measured outcomes 1, investment 10, third-party vendor tools 1, exploratory language 1 [S1].

Verbatim from the filing:

"Research and development activities primarily include the development and release of new apps and AI agents, enhanced AI-powered functionality across existing apps, expanded cloud platform capabilities, including the Teamwork Graph, and the integration of the latest foundational AI models to deliver intelligent automation and insights to customers." — Item 1. Business [S1] "This organizational context is a critical enabler for effective AI agents and automated workflows." — Item 1. Business [S1] "We continue to focus our research and development efforts on building new apps and AI agents, adding new features and services, integrating acquired technologies, increasing functionality, enhancing our Cloud infrastructure, and advancing our artificial intelligence capabilities." — Item 7. Management's Discussion and Analysis [S1] "As an AI-first company, we have embedded AI capabilities across every surface of our platform, enabling organizations to orchestrate work effectively across both human and AI teammates." — Item 1. Business [S1] "As an AI-first company, we have embedded AI capabilities across every surface of our platform, enabling organizations to orchestrate work effectively across both human and AI teammates." — Item 7. Management's Discussion and Analysis [S1] "Our deeply interconnected portfolio of apps, AI agents, and Collections, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership and business teams." — Item 1. Business [S1] "The comprehensive data model, or Teamwork Graph, unifies and standardizes data across Atlassian apps, third-party tools, and teams, providing the rich organizational context that powers AI agents and cross-product workflows." — Item 1. Business [S1] "The Teamwork Graph provides AI agents, whether built by Atlassian, our users, our customers, or third parties, with the relationship-aware enterprise context they need to produce accurate, relevant, and actionable results." — Item 1. Business [S1] "Our Offerings In recent years, we shifted from stand-alone products to a vision of apps, AI agents, and Collections." — Item 1. Business [S1] "Our deeply interconnected portfolio of apps, AI agents, and Collections, each with discrete value propositions, delivers solutions for software teams, IT operations and support teams, leadership and business teams." — Item 7. Management's Discussion and Analysis [S1]

4. The AI Adaptation Score

The AI Adaptation Score weighs the adoption level (0–4) at 45%, building with AI from the ground up (greenfield) at 20%, the credibility of the claims at 15%, the trajectory against the previous filing at 12% and the investment signal at 8%, with trajectory and investment measured against the company's own sector; the greenfield reward counts only from level 3 upward [S5]. TEAM's score of 59.2 decomposes into level 33.8, greenfield 4.0, credibility 7.5, trajectory 5.9 and investment 8.0 points [S5]. Its cluster label for the run is builder with a margin of 28.3 points from the sector's other cluster [S5].

The model read of the filing returned level 3 (integrated) with confidence 0.8 and sub-scores product 9.0, operations 3.0, investment 6.0, data moat 8.0, credibility 5.0, greenfield 2.0 (each 0–10) [S1]. Its summary: "Atlassian deeply integrates AI into its product (Rovo, AI agents) and operations, with a described data asset (Teamwork Graph), proprietary AI Gateway infrastructure, and AI-inference costs in COGS/R&D. But it routes third-party commoditized models (not proprietary), lacks hard outcome metrics, and retrofits AI onto a pre-AI portfolio, so it falls short of native." [S1].

"As an AI-first company, we have embedded AI capabilities across every surface of our platform, enabling organizations to orchestrate work effectively across both human and AI teammates." — Item 1. Business [S1] "The comprehensive data model, or Teamwork Graph, unifies and standardizes data across Atlassian apps, third-party tools, and teams, providing the rich organizational context that powers AI agents and cross-product workflows." — Item 1. Business [S1] "including expenses related to our Cloud infrastructure and AI inference incurred through our customer’s usage of our AI tools" — Item 7. Management's Discussion and Analysis [S1] "Rovo is Atlassian’s AI offering, designed for teamwork rather than individual productivity alone." — Item 1. Business [S1]

5. Trajectory

The previous periodic report, the 10-Q filed 2026-05-01, scored level 1 (exploring) with 47 AI sentences [S3]. The level rose by 2 between the two reports [S1].

6. Recent developments

• yahoo:symbols 2026-09-23T17:00+00:00: Atlassian Accelerates Public Sector Cloud Investments, Pulls Forward IL5 Timelines [S7]

7. What would change the verdict

TEAM leaves the long book if a later report drops the deployments, investment or outcomes it now states, if the model read judges the claims uncredible, or if higher-scoring filers displace it on a later run [S5]. The book is recomposed on every scoring run from the ten highest scores that pass the liquidity screen [S5].

8. Risks and caveats

The score reads what the company discloses, not what it does: a company can adopt AI without describing it in a periodic report, and can describe it without adopting it [S5]. Risk-factor language is counted separately from substantive text and never credited as adoption; boilerplate that resembles generic risk disclosure is excluded [S5]. Only the sections the scorer parses are read (business, risk factors, management's discussion for a 10-K or 10-Q; the earnings release of an 8-K is scored but never anchors a level) [S5].

9. Watch list

• The next periodic report of TEAM (expected around 2027-08-14) and its AI sentences [S4].
• The model read of the current filing (done) [S5].
• The next scoring run's AI Adaptation Score and the book's recomposition [S5].

Place in the book

• Rank 4 of 10 in AMF-WHITESWAN (Swan Composite v1.1.0, scoring run 2026-11-05): the book holds the highest composites [S5].
• Composite: 0.50 × 59.2 (AAS) + 0.25 × 57.2 (story) + 0.25 × 100.0 (market) = 68.9 [S5].
• Market verdict 100.0: over the last 90 days TEAM rose more and fell less than the software universe's median daily return (down-capture 1.99, up-capture 4.52, L = 2.53; 32 down / 19 up days) — the Failure-To-Adapt fund's selection signal, 50 = moves with the software universe's median daily return [S5].
• AI Story Score 57.2: a beneficiary narrative in the AI stories written about the company [S5].
• Weight: rank factor 1.67 (rank 4 of 10) × story factor 1.07 × market factor 1.50, normalised across the book and clamped to 5–20% → 12.0% [S5].

Sources

• S1 — TEAM 10-K filed 2026-08-14 — SEC primary document (the anchor filing the score reads) — https://www.sec.gov/Archives/edgar/data/1650372/000165037226000036/team-20260630.htm
• S2 — EDGAR filing index for accession 0001650372-26-000036 — https://www.sec.gov/Archives/edgar/data/1650372/000165037226000036/
• S3 — TEAM 10-Q filed 2026-05-01 — the previous periodic report (trajectory) — https://www.sec.gov/Archives/edgar/data/1650372/000165037226000027/
• S4 — SEC EDGAR company submissions — Atlassian Corp (CIK 1650372) — https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=1650372
• S5 — EventTrader AI Adaptation Score, scoring run 2026-11-05 — the AMF-WHITESWAN fund page (method, composition) — https://cymetica.com/fund-performance/AMF-WHITESWAN
• S6 — EventTrader real-price feed — TEAM quote — https://cymetica.com/api/v1/prices/TEAM
• S7 — Headline — yahoo:symbols 2026-09-23T17:00+00:00: Atlassian Accelerates Public Sector Cloud Investments, Pulls Forward IL5 Timelines — https://finance.yahoo.com/technology/articles/atlassian-accelerates-public-sector-cloud-170000101.html

Method and disclaimer

The AI Adaptation Score reads each company's own periodic SEC reports (10-K, 10-Q, 20-F, 40-F): deterministic features (AI sentences by section, proprietary-model, deployment, outcome, investment and vendor language, boilerplate and negation excluded) set an adoption level on a 0–4 rubric; a model read of the filing's AI sentences confirms the level and scores credibility and greenfield (the business built with AI from the ground up rather than retrofitted); the score combines level, greenfield, credibility, trajectory against the previous report and investment, measured against the company's sector, with greenfield carrying the highest reward. The books are composed by Swan Composite v1.1.0: each company's composite is 50% AI Adaptation Score + 25% AI Story Score + 25% market verdict — the AI Story Score is the sentiment of the AI stories written about it, the belief network of companies named in the same stories and the price reaction to those stories (no story scores neutral); the market verdict is the Failure-To-Adapt fund's selection signal, the signed down/up capture ratio of the stock against the software universe's median return over 90 days (a stock that falls more and rises less than its peers scores below 50). AMF-BLACKSWAN holds the ten lowest composites that pass the liquidity screen and the new-listing gate and AMF-WHITESWAN the ten highest, weighted by conviction (rank, story agreement and market agreement, each leg 5–20%), recomposed on every scoring run. Every quote in this report is the filing's text verbatim; every factual sentence names its source; a source the platform could not reach is reported as missing, never filled in.

This report is information, not investment advice. Figures come from the cited sources as of their dates. Nothing here is a recommendation to buy, sell or hold any asset.