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Treasure Data Streamlined Employee Offboarding using CloudEagle.ai

"Manually deprovisioning employees from each app was time-consuming and unsustainable as our SaaS usage grew, impacting the productivity of our HR and IT teams. With CloudEagle.ai's auto-deprovisioning workflows, we efficiently offboarded ex-employees across 75 apps, significantly enhancing both security and operational efficiency."

- Steve Poe, Staff Business Systems Specialist, Treasure Data

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1,354
hours saved per year on offboarding
75 apps
auto-deprovisioned from one workflow
30 users
deprovisioned across 75 apps

1,354

hours saved per year on offboarding

75 apps

auto-deprovisioned from one workflow

30 users

deprovisioned across 75 apps
Problems
Challenge
  • Manual offboarding across SaaS apps made deprovisioning slow, repetitive, and difficult to verify.
  • Delayed access removal left ex-employees with standing access, increasing audit and security risks.
  • IT and HR lacked a clear view of access status across the SaaS portfolio after offboarding.

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Solutions
Solution
  • CloudEagle.ai automated Joiner-Mover-Leaver workflows across connected SaaS applications.
  • One-click auto-deprovisioning revoked access instantly across apps with proof captured automatically.
  • Direct integrations with SSO, HRIS, and finance systems triggered offboarding from source systems.

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Profit
Result
  • Treasure Data securely deprovisioned 30 users across 75 SaaS apps without gaps in access removal.
  • Auto-deprovisioning workflows saved 1,354 hours annually for IT and HR teams.
  • Standing access from former employees was eliminated, improving security and audit readiness.

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Challenge

As Treasure Data’s SaaS portfolio grew, employee offboarding became difficult to manage manually. 

Every leaver required IT and HR to log into multiple applications separately to revoke access, creating delays and increasing the risk of missed deprovisioning. 

Without one clear view of who still had access, standing access from former employees created ongoing security and audit exposure.

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Solution
  • CloudEagle.ai created a single control plane for offboarding across every SaaS app.
  • Direct integrations with SSO, HRIS, and finance systems triggered deprovisioning automatically from HR events.
  • Auto-deprovisioning workflows revoked access across connected apps with one click and captured proof.
  • Real-time tracking surfaced users with standing access so IT could close gaps immediately.
  • A centralized dashboard provided full visibility into users, entitlements, and access changes.

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Why CloudEagle.ai?

Treasure Data evaluated several solutions and chose CloudEagle.ai for these reasons:

  • Fast implementation delivered immediate operational value across offboarding workflows from day one.
  • Broad SaaS integrations covered Treasure Data’s full application stack without custom development.
  • SaaS-native workflows simplified deprovisioning without requiring a dedicated identity engineering team.
  • Bi-directional integrations with SSO and HRIS enhanced existing systems instead of replacing them.
  • The same governance model extends to AI tools and non-human identities as the business scales.

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Impact

Hours Turned Into Clicks

  • CloudEagle.ai's auto-deprovisioning workflows saved Treasure Data 1,354 hours per year by automating offboarding across the SaaS stack.
  • What used to be a multi-hour, multi-app task per leaver became a single workflow that runs in minutes.
  • IT and HR shifted from reactive ticket-clearing to strategic work, including extending governance to AI tools and NHIs.

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Operational Scalability

  • Automated offboarding securely deprovisioned 30 users across 75 SaaS apps without manual coordination.
  • The platform handled batch leaver events and individual offboards with the same workflow, with no extra coordination.
  • Growing SaaS sprawl no longer translates into proportional growth in IT effort.

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No More Standing Access

  • Automated workflows ensured ex-employees lost access to all critical systems immediately, not days later.
  • Standing access from former employees, the single largest source of audit findings in SaaS environments, was closed at the source.
  • Audit-ready evidence was generated by default, removing the pre-audit scramble to assemble proof of deprovisioning.

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The Transformation

Before CloudEagle
Manual app-by-app access revocation was prone to delays and missed apps.
Ex-employees often retained standing access for days, raising security and audit risk.
No automated integration with SSO, HRIS, and finance; offboarding required manual coordination.
IT and HR spent hours per leaver on repetitive deprovisioning instead of strategic work.
Manual offboarding did not scale as Treasure Data's SaaS portfolio and workforce grew.
After CloudEagle
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Automated JML workflows revoked access across 75 apps in one motion, saving 1,354 hours per year.
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Real-time tracking ensured no standing access lingered after a leaver event.
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Automated integrations with SSO, HRIS, and finance streamlined offboarding end-to-end.
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IT and HR refocused on high-impact work, including extending governance to AI tools and NHIs.
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Scalable workflows handled mass offboarding consistently as the SaaS portfolio expanded.

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