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Mo HelmyPublic-sector seller. Partner strategist. Coach. Builder of AI systems.Press kit

Notes · Design ·

Authority before action: governing agents like a sales organization

Most agent governance reads like an IT policy. The better model is one every sales leader already runs: territories, qualification, pipeline review and approval levels.

This is a design, not a deployment. Parts of it run in my own setup today: scoped workers, a software verifier, receipts, read-only guards. The organizational model around them is the proposal.

The problem

An agent can do far more than it should be allowed to do. The research on agent governance this year keeps landing on the same question: not "can it?" but "is it authorized to, here, now?" The Authority Resolution Framework (August 2026) treats that as a reasoning problem of its own: who may act, on what, and why.

Sales organizations solved a version of this decades ago. A rep can work any account in their territory, but a discount past a threshold goes to a deal desk, and a contract goes to legal. Nobody calls that bureaucracy; it's how a team moves fast without one person's mistake becoming everyone's.

The mapping

In a sales organizationFor a team of agents
TerritoryScope: the paths, tools and data an agent may touch for this task, and nothing else
Qualification criteriaAn acceptance contract, written and frozen before work starts
Pipeline reviewAgent review on a cadence, from receipts, not from the agent's own summary
Deal desk and approval levelsGraduated authority: act alone, act and notify, or wait for a yes
Forecast disciplineCalibrated confidence: a typed judgment with a probability, not a paragraph
Win/loss reviewEvery failure becomes a check or a rule, so it can't repeat silently

Three levels of authority

LevelExamplesWhy
Act aloneRead, search, draft, run tests, write to its own branchReversible and contained
Act, then notifyOpen a pull request, change a non-production settingReversible, but someone should know
Wait for a yesMerge, deploy, spend money, contact a customer, delete anythingHard to undo, or outward-facing

Evidence a stranger could audit

Approval is only as good as the record behind it. The Decision Evidence Maturity Model (April 2026) grades whether the evidence an agent leaves is enough for an outside party to reconstruct a decision. My rule is the same, in plainer words: a decision without a receipt didn't happen. The receipt names the commit, the checks that ran and what they returned.

What my commercial experience contributes to AI teams

My sales and partner work makes me attentive to ownership, review cadence and the points where a decision needs another person's judgment. I bring that operating perspective to collaboration with engineers: define who owns the decision, what evidence they need and when the work should stop or escalate.

The organizational model described here is a proposal. Some underlying controls run in my own setup; the broader operating design still needs evaluation in a team environment.

Give agents territories, not permissions lists; contracts, not prompts; and a deal desk for anything you can't undo.

If you want to talk about public-sector growth, partner strategy or applied AI, I'd like to hear from you.

Email is the best way to reach me.