Key Takeaways
- • 91% of PE-backed CFOs cannot accurately size their AI spending, indicating a widespread gap in financial planning and cost control across portfolio companies heading into 2027 budget cycles.
- • 83% of portfolio companies have AI pilots in operation with almost none tied to measurable value, suggesting significant capital deployment without clear ROI frameworks or accountability metrics.
- • 2026 AI spending operated without structural governance, described as undisciplined and reactive, but the 2027 budget season presents an inflection point for implementing policy, discipline, and quantifiable outcomes.
- • Accordion's 8-step framework provides a structured methodology for PE-backed companies to rationalize AI budgets, align spend with strategic objectives, and establish measurement criteria before capital allocation.
- • Cost control over AI infrastructure is emerging as a critical CFO priority in the PE ecosystem, with Justin D'Onofrio positioning performance management and FP&A discipline as essential to preventing 2027 budget overruns.
Summary
Corporate AI spending in 2026 has operated largely without governance or strategic discipline. According to industry analysis from Accordion's Performance Management team, organizations have deployed capital reactively—described as analogous to unrestricted spending with no underlying policy framework or documented rationale for individual investments. This pattern of uncontrolled allocation is creating visibility problems across the PE-backed portfolio company landscape.
The structural gaps in AI budget planning are stark. Research cited in the discussion reveals that 91% of PE-backed CFOs lack the capability to accurately size and forecast their AI spending, while 83% of portfolio companies have launched AI pilot programs with virtually no connection to measurable business outcomes or value creation metrics. These data points underscore a broader pattern: capital is moving into AI infrastructure and experimentation without corresponding ROI frameworks or accountability mechanisms.
Justin D'Onofrio, Managing Director on Accordion's Performance Management team, brings direct visibility into this challenge through daily conversations with PE-backed CFOs. His positioning at the intersection of finance, technology, and FP&A functions places him at the epicenter of 2027 budget planning discussions. D'Onofrio has developed an 8-step framework designed to address the disconnect between AI spending and measurable value creation, offering a structured pathway for organizations to establish budgeting discipline, governance policies, and outcome-based measurement criteria.
The 2027 budget cycle represents an inflection point. Unlike 2026's reactive and undisciplined approach, institutional investors and PE sponsors are signaling that uncontrolled AI spending will not be tolerated in the upcoming fiscal year. This shift reflects broader recognition that AI infrastructure costs represent a material budget line item requiring the same rigor applied to other significant capital allocation decisions—vendor management, headcount, and technology infrastructure.
For CFOs and portfolio company leaders, the emerging imperative is clear: move from pilot-stage experimentation without accountability to strategic, budgeted AI investments with defined success metrics, measurable ROI, and clear business alignment before capital deploys in 2027.
The structural gaps in AI budget planning are stark. Research cited in the discussion reveals that 91% of PE-backed CFOs lack the capability to accurately size and forecast their AI spending, while 83% of portfolio companies have launched AI pilot programs with virtually no connection to measurable business outcomes or value creation metrics. These data points underscore a broader pattern: capital is moving into AI infrastructure and experimentation without corresponding ROI frameworks or accountability mechanisms.
Justin D'Onofrio, Managing Director on Accordion's Performance Management team, brings direct visibility into this challenge through daily conversations with PE-backed CFOs. His positioning at the intersection of finance, technology, and FP&A functions places him at the epicenter of 2027 budget planning discussions. D'Onofrio has developed an 8-step framework designed to address the disconnect between AI spending and measurable value creation, offering a structured pathway for organizations to establish budgeting discipline, governance policies, and outcome-based measurement criteria.
The 2027 budget cycle represents an inflection point. Unlike 2026's reactive and undisciplined approach, institutional investors and PE sponsors are signaling that uncontrolled AI spending will not be tolerated in the upcoming fiscal year. This shift reflects broader recognition that AI infrastructure costs represent a material budget line item requiring the same rigor applied to other significant capital allocation decisions—vendor management, headcount, and technology infrastructure.
For CFOs and portfolio company leaders, the emerging imperative is clear: move from pilot-stage experimentation without accountability to strategic, budgeted AI investments with defined success metrics, measurable ROI, and clear business alignment before capital deploys in 2027.
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