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.
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.
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.
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.
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?
Do you have a process for revoking agent access when a workflow is decommissioned or modified?
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?
Do your audit trails differentiate between what the AI planned (the decision) and what was executed (the action)?
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?
Does your infrastructure automatically scale to handle agentic workflows at peak production volume?
