AI Agents Frameworks
Practical frameworks for deploying AI agents with clear purpose, controlled autonomy and measurable business value.
Stratify's AI Agents frameworks help organisations identify where agents can create value, determine whether the organisation is ready and manage increasing AI autonomy responsibly.
The Stratify AI Agent Framework
A practical seven-step framework for moving from agent opportunity to controlled, measurable deployment.
IDENTIFY → EVALUATE → ENGAGE → IMPLEMENT → MEASURE → MANAGE → IMPROVE
7 Steps to Responsible AI Agents
Identify the opportunity. Evaluate readiness. Engage the right owners. Implement with control. Measure the outcome. Manage autonomy.
AI Agent autonomy should increase only when business value, organisational readiness and evidence justify it.
Identify — Where could an AI agent create meaningful business value?
Evaluate — Is the use case suitable for agentic AI, and is the organisation ready?
Engage — Which people, owners and functions need to be involved?
Implement — How should the agent be introduced with appropriate permissions, boundaries and oversight?
Measure — Is the agent improving performance, cost, capacity or business outcomes?
Manage — Are autonomy, permissions, risk, accountability and human intervention being actively governed?
Improve — What does the evidence tell us to change, scale, restrict or automate further?
From knowing what AI exists across your organisation to responding when something goes wrong, these seven steps create a practical system for governing AI as adoption scales.