Agentic AI should be managed as a portfolio, not a collection of experiments.
Axes: Business Impact vs. Operational Risk
Low Risk / High Impact — Build Immediately
Examples: Internal knowledge agents, Tier 1 support, document summarization.
These should be your first deployments.
Low Risk / Low Impact — Opportunistic
Examples: Meeting summaries, internal reporting agents.
Build when convenient, not as strategic priorities.
High Risk / High Impact — Stage Carefully
Examples: Financial analysis, legal review, compliance recommendations.
Requires: Human-in-the-loop, phased rollout, and clear escalation paths.
High Risk / Low Impact — Avoid
Examples: Autonomous decision-making with minimal upside.
These agents rarely justify their risk profile.
Key Principle: Discipline beats ambition. A few well-governed agents outperform dozens of unmanaged ones.
Last updated 27 days ago