The Aretas Alignment Audit™ is the firm’s proprietary diagnostic framework for leadership specification in AI transformation contexts. It is benchmarked against the strategic function of Egon Zehnder’s Potential Model and McKinsey’s Organizational Health Index: a named, structured product that converts advisory judgment into a repeatable decision system.
"We need a transformation CEO." "We need a Chief AI Officer." "We need someone to scale this." The phrase that opens most search conversations is the phrase the situation uses for itself, not the phrase that defines the work. Behind every such phrase is a different leadership archetype, a different value-creation lever, and a different time-to-impact assumption. Translating one into the other is the work of the Aretas Alignment Audit.
The Audit is the firm's intellectual product. Egon Zehnder owns a proprietary model for executive potential. McKinsey owns an index for organizational health. Aretas owns the diagnostic that tests whether the leadership system is built to convert AI strategy into enterprise value. It is what allows a single-partner firm to defend a specific point of view about value creation when challenged by a Board Chair conducting CEO succession or by an Operating Partner who has heard every retained search pitch ever made. It is the discipline that converts the title on the search assignment into the specification the buyer can underwrite.
The strategic plan, restated in leadership-relevant terms. For PE engagements: the value-creation plan. For corporate engagements: the three-year strategic plan, the board mandate, the investor-day commitment. Which levers require executive judgment to convert? Which require operating discipline? Which are constrained by board governance, and which by team composition? The output is a one-page restatement reviewed and ratified with the buyer before any candidate work begins.
OutputA leadership-decomposed plan, signed off by the buyer.
Where on the maturity arc does the company actually sit today? Pilot. Partial deployment. Operationalized. Value-capturing. The diagnostic is calibrated against external benchmarks — McKinsey State of AI, BCG / MIT Sloan Building the AI-Powered Organization, Stanford HAI AI Index, Bain GP Survey — and against the candor of the executive team in front of you.
OutputA maturity placement and a 12-, 18-, and 24-month leadership requirement.
Given the strategic plan and the maturity placement, which of four archetypes is the engagement actually for? The taxonomy converts ambiguous mandate language into a specification a sophisticated reference can answer against, an interview can test against, and an offer can be defended against.
OutputA defensible leadership specification — archetype, success conditions, time-to-impact — that becomes the search.
This is not a report. It is a structured diagnostic output with four defined components: the evidence base, the gap map, the archetype specification, and the search mandate brief.
A structured evaluation of the organization’s current leadership readiness to deploy AI at scale: governance structures, decision-making authorities, talent gaps, and operating-model maturity.
A visual representation of the current versus required leadership system — role-level, team-level, and governance-level — mapped against the AI strategy and hold-period plan.
A defined specification of the archetype or archetypes required to close the gap: Architect, Operator, Translator, or Catalyst, with role, mandate, and success metrics.
A search mandate generated by the diagnostic, not by a generic job description, with candidate profile, stakeholder alignment plan, and transition risk assessment.
The four archetypes are the language of Phase 03. They are how the firm refuses to write a search specification in adjectives. They are the discipline that prevents the engagement from defaulting to the candidate market the search team can most easily reach.
The Architect is the leader for situations where the AI thesis is real but the operating capability is not. They are the executive who has stood up data infrastructure, AI governance, and model-risk frameworks at scale. They have built before. The placement is justified by the quality of the system they design, not by the speed of the first quarter's deliverables.
When the situation requiresA platform whose AI roadmap exists on paper but whose execution capability has not yet been built.
The Operator drives AI-led margin expansion and productivity gains through rigorous implementation discipline. The Operator converts the Architect’s foundation into measurable operating performance. The placement is justified by execution velocity, financial accountability, and change-management rigor.
When the situation requiresA portfolio company where implementation is underway and value-creation accountability is the mandate.
The Catalyst transforms workforce culture and operating norms to enable AI-led ways of working at scale. The Catalyst is the most underestimated archetype in the PE operating partner toolkit. The placement is justified by change-leadership credibility, organizational psychology fluency, and the ability to move large workforces without losing the talent the Operator depends on.
When the situation requiresA portfolio company in active AI-driven operating-model redesign where adoption risk, workforce trust, and cultural legitimacy decide whether the thesis converts.
The Translator is the leader for situations where the AI ambition is correct, the maturity is partial, and the gap between board strategy and operating reality is the principal risk. They are the executive who can sit in the boardroom in the morning and on the engineering floor in the afternoon, holding both audiences accountable to a coherent narrative. The placement is justified by the legibility they create across constituencies.
When the situation requiresA platform where the board, the sponsor, and the technical organization are operating from different versions of the strategy.
“Traditional search filters for experience. Aretas filters for strategic alignment. The Audit verifies that the leadership architecture maps to the value-creation plan — before a single candidate is contacted.”
— The Aretas Alignment Audit™
Multiple expansion has left private equity. EBITDA growth is what is left, and AI maturity is now the most defensible source of that growth. Aretas Partners architects the leadership systems — the C-suite, the operating-partner bench, the board — that convert AI ambition into measurable enterprise value, on the timeline that capital demands. We are retained when the next eighteen months will decide the decade.
A diagnostic before a prescription. A Leadership Architecture Roadmap before a search brief.