Guide to Deploy Production-Ready AI in Critical Processes

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Deploy AI Where it Counts.

Practical Guide and Assessment Tools for Safely Deploying Controlled AI in Business-Critical Processes.

What's in this guide:

1. Readiness assessments and checklists for safe AI deployment in core processes.
2. How to leverage AI as a compounding strategic asset, and not an isolated project.
3. The Controlled Autonomy framework: ensuring agents operate only within defined boundaries.

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Who this guide is for:

Technical AI leaders and practitioners looking to deploy AI in the business-critical processes that demand complete Control, Governance and Reliability assurances.

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How Production-Ready Are You?

Take the Test: Quick AI Readiness Assessment

CONTROL

Pillar One: Defines Boundaries

• What Can this Agent Do and Access?
  • Can you define exactly which systems and data each agent can access?
    • Y/N
  • Do you have a process for revoking agent access when a workflow is decommissioned or modified?
    • Y/N

GOVERNANCE

Pillar Two: Defines Oversight

• What Did the Agent Do?
  • Can you reproduce any AI-driven decision made in the past 30 days, including accessed data, invoked models, and applied logic?
    • Y/N
  • Do your audit trails differentiate between what the AI planned (the decision) and what was executed (the action)?
    • Y/N

RELIABILITY

Pillar Three: Defines Execution

• Does the Agent Consistently Execute Correctly?
  • When a workflow fails mid-execution, does your infrastructure resume from the failure point automatically?
    • Y/N
  • Does your infrastructure automatically scale to handle agentic workflows at peak production volume?
    • Y/N

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