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InsightJul 1, 2025·7 min read

AI Automation Playbook

Practical guidance for designing AI workflows that ship value and stay compliant.

By Marsala Research·
#AI#Automation#Operations

From content generation to support automation, with call-outs for guardrails and measurable success criteria.

Use-Case Prioritization

We outline a decision matrix for selecting AI automations based on business impact, data readiness, and regulatory considerations.

Guardrails & Monitoring

Every AI workflow includes a minimum guardrail package: prompt governance, output auditing, and human-in-the-loop checkpoints.

  • Prompt libraries with semantic versioning.
  • Red-teaming scripts for hallucination detection.
  • Dashboards tracking adoption, quality, and savings.

Operationalizing AI

We close with a play-by-play for onboarding teams, measuring outcomes, and iterating AI features responsibly.


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