Case study · From the Pluris libraryReceipt no. 6822
What sucked
The fund needed to deploy ChatGPT Enterprise across nine portfolio companies simultaneously as a coordinated program, not a pilot, affecting 10,000+ users.
Every company had different IT stacks, security requirements, AI readiness, and executive appetites, and dual approval gates spanned dozens of stakeholders.
What they built
Eliza built a portfolio-scale rollout engine with four integrated workstreams: program governance (cohort tracking, daily management, risk escalation), technical readiness (1:1 IT onboarding, helpdesk, office hours), enablement (comms templates, Champions kit, training), and reinforcement (portco-specific training and adoption measurement).
What changed
9 portcos
Portfolio companies activated in the first cohort
10,000+ users
Onboarded in eight weeks; ~10,000 more launching next
10+ use cases
High-impact use cases developed per company
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