The best AI-agent decision may be not to build one
An agent proposal should begin with the work and the alternatives. The ability to build something does not establish its value or justify its autonomy.
What the sources contribute
Anthropic’s engineering guidance recommends starting with simple solutions and adding complexity when needed. It distinguishes predefined workflows from agents that direct their own tool use, and discusses cost and latency trade-offs. Its trustworthy-agent guidance adds a provider perspective on human control, permissions and transparency.
The Infosys GCC research provides complementary survey context for human augmentation, process redesign and responsible-AI implementation. Those findings describe the participating GCCs and do not guarantee outcomes for another organisation.
Execution Clarity’s interpretation
Compare the candidate with removing or simplifying the work, deterministic automation and AI assistance. Identify the expected value, ongoing run cost and human effort needed for review and exceptions.
If agent use is justified, define the bounded task, approved tools and permissions. Specify which actions require human authority, how exceptions escalate and what fallback is available. An impressive demonstration does not answer those operating questions.
The five Value Gate choices—Ignore, Simplify, Automate, AI-Augment and Agent-Enable—are alternatives, not a maturity ladder. A decision to retain human judgment or use a simpler mechanism can be the strongest result.
A question for leadership
What additional value requires an agent here, and what would make you decide against building one?
Selected sources
- Anthropic — Building effective agentsGuidance on simplicity, workflow/agent fit and cost trade-offs.
- Anthropic — Trustworthy agents in practiceProvider guidance on human control and permissions.
- Infosys Knowledge Institute — AI-first GCC Index 2026Survey context for process redesign, human augmentation and governance.