AI may help leaders spot signs that an organization is prepared—or struggling—to carry out a major decision. It cannot certify readiness or make the decision on an executive’s behalf. In a September 2026 interview, Regan Inkster argues that leaders should look beyond performance metrics to organizational coherence, capacity for change, uncertainty, and governance, while keeping accountability with the executive who approves the action.
What does organizational readiness mean?
In Inkster’s account, readiness is not simply whether a strategy makes sense on paper or whether current results look healthy. It also concerns whether the organization can execute the strategy under its present conditions.
As an Amazon Associate I earn from qualifying purchases.
He uses “coherence” to describe how well people setting direction and people doing the work share an understanding of what is happening, why it matters, and what the organization is trying to achieve. If those groups have materially different views, a sound initiative can still run into execution problems.
That distinction matters in decisions such as an acquisition, restructuring, AI transformation, or technology migration. A proposed change may be strategically attractive yet demand more coordination, time, or organizational goodwill than the company can currently sustain.
#1 Best Overall
Why conventional performance metrics may not be enough
Revenue, margin, utilization, pipeline, and productivity describe outputs. Inkster’s argument is that those measures do not, by themselves, show the condition of the system producing them. A company can therefore appear successful on conventional measures without those figures answering whether its teams are aligned or able to absorb another major change.
This is not a case for discarding financial or operating measures. It is a case for treating them as part of the picture rather than a complete diagnosis of execution readiness.
What AI and Organizational Φ are meant to contribute
Inkster describes Organizational Φ as an estimate of organizational coherence: a signal about the organization’s condition, not a complete verdict and not a score that can reduce a company to one number. He presents AI as a way to help surface patterns that leaders might otherwise miss.
Windows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallOutdated Drivers Are Slowing You Down
One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchIn the interview, Inkster says he analyzed public organizational and financial information from more than 100 publicly traded companies across more than 40 quarters. He reports that sharp declines in coherence showed up in financial and operating performance roughly two quarters later, and that recovery ran about two to one against decline. These are figures Inkster reported in the interview; it does not identify an external study, dataset, or independent replication that would establish them as general results.
Inkster also describes Phive Dynamics’ work as extending coherence measurement into decision intelligence and decision architecture. That work, as he describes it, includes building structured histories of decisions, examining how similar decisions turned out, estimating uncertainty, and identifying constraints before commitment. The intended use is to help leaders consider whether an action is executable under current conditions and whether it needs guardrails. These are descriptions from the founder, not independently assessed evidence of product performance.
Questions leaders should ask before committing
The interview does not present a validated readiness checklist or scoring method. Its ideas can still help frame a practical discussion, provided leaders treat the questions as prompts for judgment rather than a formula:
- Shared understanding: Do decision-makers and the people expected to execute the change share a view of the situation, its significance, and the objectives?
- Capacity to absorb change: Can teams coordinate around the initiative and carry it through without undue strain or an unacceptable impact on other work?
- Uncertainty and constraints: What remains unknown, and which constraints should shape the decision, its timing, or its scope?
- Governance and accountability: Does oversight account for organizational conditions as well as technical permissions, and is it clear who owns the decision?
If the answers reveal gaps, leaders might stage an initiative, add guardrails, delay commitment, or reconsider its scope. That is a way to use readiness signals in decision-making—not proof that any particular option is right.
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Why AI-agent permissions do not settle readiness
Inkster argues that authorizing an AI agent to act does not necessarily account for the state of the organization in which it is operating. A permission can establish what a system is allowed to do, but it does not by itself show whether the organization is prepared for the action’s effects or able to manage them.
Best Value
- Author: Bungay Stanier, Michael.
- Publisher: Page Two
- Pages: 244
- Publication Date: 2016-02-29
- Edition: 1
His proposed direction is decision architecture that considers organizational state when deciding whether an action should proceed, be staged, delayed, or reconsidered. He describes dynamic permissions and machine-readable guardrails as developing, not as established capabilities with independently verified results.
Where the evidence ends—and accountability remains
The interview offers Inkster’s perspective, not independent validation of his method, the reported performance patterns, or Organizational Φ as a readiness measure. Treat the framework as one potential input to executive judgment, alongside established financial, operational, legal, and technical analysis.
Inkster’s central limitation is uncertainty: organizations are networks of people, and no model can remove uncertainty from a high-stakes choice. AI may give leaders earlier signals and more time to weigh options, but it does not transfer responsibility. As Inkster puts it, “Accountability stays with the executive who signs.”
What’s actually slowing this PC down?
Pick the symptom - the matching free tool is one click away.
Read the full interview with Regan Inkster in The AI Journal (Tom Allen, 25 September 2026).
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
