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Enterprise AI Deployment Runbook

Step-by-step runbook for deploying enterprise AI platforms. Pre-deployment, deployment day, post-deployment, and steady-state operations.

TL;DR

  • —Step-by-step runbook for deploying enterprise AI platforms.
  • —Expert insights on AI for companies and security.
  • —Complimentary resource provided by Remova.
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Pre-Deployment (2 weeks)

Complete before deployment: finalize vendor selection, execute contracts, configure SSO integration, define department structure, set initial budgets, configure guardrails, create acceptable use policy, prepare training materials, and identify pilot group.

Deployment Day

Deployment checklist: enable SSO connection, create departments and invite department heads, configure budget caps, activate guardrails, onboard pilot users, verify audit logging, test PII redaction, validate cost tracking, and confirm alerting.

Post-Deployment (4 weeks)

Week 1-2: monitor pilot group, gather feedback, tune guardrails, adjust budgets. Week 3-4: expand to additional departments, conduct training sessions, review audit logs, optimize model routing, and address support tickets.

Steady-State Operations

Ongoing operations: daily security monitoring, weekly usage review, monthly budget review, quarterly governance review, annual risk assessment, continuous guardrail tuning, regular access reviews, and vendor relationship management.

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Resource FAQs

Yes. Remova provides this guide as a complimentary resource to help organizations understand and implement the best practices for AI for companies.
This resource covers pre-deployment (2 weeks) and other key areas, providing actionable insights that you can use to secure your organization's AI for companies strategy.
Absolutely. Many of the concepts discussed in this guide are natively supported and enforced by Remova's governance layer, making it the ideal platform for executing your AI for companies plans.

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