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Yes. CIOs can help unlock transformation value by aligning leaders on business outcomes, measures, priorities and shared accountability—not by treating technology delivery as a goal in itself. Survey findings link stronger executive consensus and more mature transformation programs with greater confidence in results, but they do not prove that alignment alone causes success.
What executive alignment means in a transformation
Alignment is practical agreement among leaders on four points: the business outcomes a transformation should deliver, how those outcomes will be measured, which initiatives take priority, and who is accountable for delivery. It is not simply agreement that a program is important, nor does it require every executive to prefer the same solution.
Protiviti defines transformation maturity in terms of an organization’s ability to modernize technology, put new capabilities into operation, and align leadership around measurable business outcomes. That framing makes the test of alignment concrete: can leaders connect an initiative to a shared result and track whether it is being achieved? Protiviti’s 2026 Global Transformation Survey
What the survey findings say—and do not say
Protiviti and the University of Oxford surveyed 852 global C-suite executives for the 2026 Global Transformation Survey, titled “The Alignment Advantage in Transformation.” Its release says organizations reporting strong executive consensus also report significantly higher confidence in AI value realization and transformation outcomes. This is an association in survey responses, not evidence that consensus by itself caused better outcomes. The release does not establish that every aligned organization will realize value. Protiviti’s survey announcement
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| Measure | Reported finding | How to interpret it |
|---|---|---|
| Confidence in transformation outcomes | 61% among CIOs and CTOs, compared with 34% among CEOs and board members; the release describes confidence as below 20% in early-stage organizations and above 70% in advanced-stage organizations. | These are Protiviti’s 2026 survey figures. They reflect reported confidence, not independently verified transformation results. |
| Confidence that AI is driving revenue growth and cost savings | Net confidence of 61% among technology leaders, compared with 30% among CEOs and board members. | Kim Bozzella reported these Protiviti survey findings in a 2026 CIO.com opinion article. This is a different measure from confidence in transformation outcomes; the two comparisons should not be combined. CIO.com article by Kim Bozzella |
| AI as a revenue-growth opportunity | 40% of COOs selected AI as the capability with the greatest potential to drive revenue growth. | Protiviti’s 2026 survey finding as reported in its release; it reflects COOs’ responses to that specific question. |
| Transformation priorities | 49% of CFOs considered cost optimization the single biggest driver of transformation initiatives. | Protiviti’s finding as reported by Bozzella in CIO.com. It answers a different question from the COOs’ view of AI’s revenue potential. |
| Joint leadership and value targets | CxOs who co-lead digital delivery end to end with CIOs are reported to be 1.5 to 2 times more likely to achieve value targets than CxOs who delegate digital delivery to IT. | Gartner’s 2024 abstract reports this comparison. The full report and its methodology are not available in the cited material, so treat it as a reported association rather than a guaranteed effect. Gartner’s 2024 summary |
| Co-ownership of digital leadership | 45% of CIOs were driving a shift to co-ownership of digital leadership. | Gartner’s 2023 press release. It describes co-ownership as placing the design, delivery and management of digital capabilities with teams closest to where value is created. Gartner’s 2023 announcement |
The gaps between executive groups are useful signals, not just messaging problems. Technology leaders may be more confident about AI’s contribution than CEOs and board members, while COOs and CFOs may emphasize different opportunities. A transformation plan should surface those differences and resolve them through shared definitions, evidence and explicit trade-offs.
How CIOs can make alignment useful
1. Agree on outcomes before selecting or scaling technology
Start with a small set of enterprise outcomes that matter to the initiative: for example, revenue growth, margin, customer experience, risk reduction or operating performance. Establish a baseline, a target and a common definition for each measure. Bozzella’s suggested question is direct: “Why are we doing this and how will we measure it?” Her CIO.com guidance
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2. Share ownership from prioritization through delivery
Bring business leaders into decisions about design, prioritization, implementation and ongoing management—not only into approval meetings. Gartner’s guidance is that CIOs should co-own transformation with business leaders and place digital capabilities with the teams closest to where value is created. Gartner’s co-ownership guidance
In practice, the business owner and technology owner should be able to explain the intended outcome, delivery dependencies, operational changes and how value will be assessed. Joint ownership does not mean responsibility becomes vague: name who makes decisions and who is accountable for each outcome.
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3. Make prioritization trade-offs explicit
Compare initiatives against the same decision criteria instead of allowing technology readiness or executive sponsorship alone to determine priority. Useful criteria include contribution to agreed strategic outcomes, expected measurable value and time to value, operational and regulatory risk, readiness of data, workforce and processes, and cross-functional ownership.
Bozzella recommends value-based prioritization using return on investment, value streams, and objectives and key results. These are useful lenses, not a universal scoring formula: the sources do not prescribe standard weights. CIOs should participate in enterprise prioritization and make the opportunity cost visible—for example, what a team will defer if it takes on a new initiative. CIO.com article by Kim Bozzella
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4. Use shared AI value measures across functions
For AI initiatives, agree on what counts as value and how it will be reported across technology, finance, operations, risk and HR. Connect activity measures—such as adoption or usage—to business-impact measures relevant to the initiative. This gives leaders a common basis for distinguishing deployment progress from outcomes such as savings, revenue, service quality or risk changes. Bozzella recommends cross-functional accountability and consistent reporting; the recommendation is her guidance, not a controlled study. CIO.com article by Kim Bozzella
5. Review outcomes and revise assumptions
Use a regular leadership review to compare actual performance with the agreed baseline and target, examine dependencies or risks, and decide whether to continue, change or stop work. If the expected value is not appearing, investigate whether the cause is technology, process adoption, data quality, capacity or an unrealistic initial assumption. A shared measure makes that discussion more actionable than a report of milestones alone.
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Where the evidence stops
The Protiviti figures come from executive survey responses and reported comparisons. The available summaries do not establish the survey’s exact field dates, questionnaire wording, weighting, respondent geography breakdown or statistical controls. They therefore support a careful conclusion: executive consensus and transformation maturity are associated with greater confidence, while the evidence presented does not isolate alignment as the cause.
The Gartner value-target comparison comes from an abstract rather than the full report and methodology. Treat it as a directional finding, not a promise that co-leading will multiply any organization’s odds by a fixed amount. The practical case for shared ownership rests on making business outcomes part of delivery decisions, not on treating a survey ratio as a forecast.
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