- Manual JML across SaaS apps made onboarding and offboarding slow, repetitive, and difficult to verify.
- Role-based access tracked in spreadsheets became outdated quickly, increasing standing access risks.
- IT lacked one clear view of user access, making revocation reactive and audit readiness difficult.
How Coherus Biosciences Streamlined User Provisioning and Deprovisioning and Saved Hundreds of Hours Managing SaaS Apps

"Managing access across every SaaS app manually took too much time and made deprovisioning hard to verify. CloudEagle eliminated that manual work with automated provisioning and one-click deprovisioning, saving us hundreds of hours and giving our team time back for more strategic work. "
~ Lisa Chamberlain, VP, Assistant Controller
1,690 hrs/yr
1,470 hrs/yr
90%
- CloudEagle.ai automated Joiner-Mover-Leaver workflows across SaaS apps with direct system integrations.
- Role-based auto-provisioning gave new hires the right access on Day 1 without delays.
- One-click deprovisioning revoked access across connected apps instantly, with proof captured automatically.
- Onboarding and offboarding moved from hours to minutes, saving hundreds of annual IT hours.
- Standing access from former employees was removed at the source, reducing audit and security risks.
- IT Ops regained time for strategic work instead of managing repetitive access tickets.
Challenge
Coherus Biosciences’s IT team managed onboarding and offboarding manually across a growing SaaS stack.
Every new hire and leaver required logging into each application separately, making access changes slow and difficult to verify.
Role-based access lived in spreadsheets that quickly became outdated, while limited visibility into user access increased the risk of standing access from former employees and delayed audit readiness.
- CloudEagle.ai created a single control plane for provisioning and deprovisioning across SaaS apps.
- Direct integrations with SSO, HRIS, and finance systems automated JML workflows from source systems.
- Role-based auto-provisioning instantly granted new hires the right apps on Day 1.
- One-click deprovisioning revoked access across connected apps immediately when employees left.
- A centralized dashboard provided real-time visibility into users, apps, and every access decision.
Coherus Biosciences evaluated several solutions and chose CloudEagle.ai for these reasons:
- Direct integrations automate onboarding and offboarding without custom development or manual coordination.
- Full SaaS visibility ensured no application was missed during provisioning or deprovisioning events.
- Centralized access management turned provisioning and revocation into a single-click workflow.
- Reduced standing access risk by closing access gaps at the source instead of later reviews.
- Extended the same governance model to AI tools and non-human identities as Coherus Biosciences scaled.
Automated Deprovisioning
- Coherus Biosciences’s IT team now deprovisions users with a single click, eliminating the need to log into every application individually to revoke access.
- This automation saved Coherus Biosciences 1,690 hours annually on offboarding tasks.
- Standing access from ex-employees is closed at the source, reducing insider risk and audit exposure.
Automated Provisioning
- CloudEagle.ai recommends the right apps for each new hire based on their role and department, then provisions automatically once approved.
- Auto-provisioning rules ensure new hires have the right access on Day 1, with no manual ticket queue and no waiting on IT.
- This process saved Coherus Biosciences 1,470 hours annually on onboarding tasks.
Time Saved Through Automation
- CloudEagle.ai automated both onboarding and offboarding, making user provisioning and deprovisioning 90% faster across SaaS apps.
- The platform reduced manual effort across the entire JML lifecycle, freeing the IT team from the most repetitive parts of access management.
- With less time spent on access tickets, Coherus Biosciences’s IT Ops team now focuses on more strategic initiatives, including extending the same lifecycle controls to AI tools and non-human identities.

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