AI Agents
AI agents create operating leverage by allowing software to take action across systems and processes.
That capability changes what organizations can automate. Agents can gather information, coordinate work across applications, resolve routine conditions, and execute actions without waiting for a person at every step. Greater authority also requires clearer operating boundaries. The articles here focus on how organizations define an agent’s identity, authority, limits, ownership, and execution record so autonomy can be deployed confidently at scale.
3 articles
The Token Tax
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A population-scale measurement found 136 million settlements and could prove $187,861 of them reached an outside party. The gap is not fraud. It is a missing layer.
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About this topic
Define the authority to act
An effective agent needs a clear operating mandate. That includes the systems it can access, the actions it can take, the decisions it can make independently, the conditions that require escalation, and the limits that prevent it from exceeding its intended role.
Those boundaries make meaningful autonomy possible. An agent with well-defined authority can complete more of a process independently while keeping consequential decisions within explicit controls. Clear ownership also ensures that someone remains accountable for how the agent operates and how its authority changes over time.
Build autonomy around clear controls
Each agent should operate through a defined identity with permissions matched to its responsibilities. Its execution logic should establish thresholds, approval points, exception paths, retry behavior, spending or transaction limits, and the conditions that require human involvement.
A reliable execution record completes that operating model. When an agent takes an action, the organization should be able to determine what happened, which inputs and permissions were involved, what decision path was followed, and whether approval was required. That record makes agents easier to improve, govern, and expand into higher-value work.
How to use these articles
Start with one agent and define its authority in operational terms. Document what it can read, change, approve, purchase, send, or commit to, then identify the conditions that require escalation or human approval.
Compare those responsibilities with the permissions and controls the agent actually has in production. Tighten unnecessary access, make boundaries explicit, assign clear ownership, and ensure important actions leave a reliable record. Well-designed autonomy gives organizations the ability to automate larger portions of a process while maintaining control over the decisions that matter most.