Valuation Infrastructure: Where People, Technology, Data and AI Converge

Valuation Outlook

June 8, 2026

Valuation Infrastructure: Where People, Technology, Data and AI Converge

This shift has accelerated amid growing regulatory scrutiny, technological change and increasing structural complexity, dynamics explored at Kroll’s 2026 Alternatives and Asset Management Conference. Regulators globally—including the SEC, FCA, The Commission de Surveillance du Secteur Financier, and Central Bank of Ireland—are placing increased emphasis on valuation transparency and, critically, how investor interests, particularly those of retail participants, are being protected.

At the same time, the rapid growth of evergreen and semi-liquid structures is reshaping the valuation landscape. More frequent net asset value (NAV) cycles, including the emergence of daily valuations, are placing unprecedented demands on firms’ abilities to produce consistent, timely and defensible outputs.

The question is no longer “How do we value this asset?” but “Do we have an infrastructure that can produce defensible valuations consistently, at scale and under scrutiny?”

Increasingly, valuation breakdowns are not driven by flawed methods, but by operational weaknesses—critical information being missed, valuation marks becoming stale or governance failing to keep pace with complexity. These risks remain largely untested in a market now defined by semi-liquid product proliferation.

Valuation Has Become an Operating Model

Private market valuation is now a recurring, industrialized process. Many firms are producing thousands of marks across asset classes, jurisdictions and structures, often under compressed timelines and heightened expectations from limited partners, auditors and regulators.

The expansion of evergreen and semi-liquid vehicles is intensifying this dynamic, driving the need for significantly more frequent, sometimes daily, valuations. In this environment, valuation infrastructure is critical.

Common pressure points include:

  • Fragmented data inputs
  • Unclear ownership across functions
  • Inconsistent documentation and challenge
  • Manual workarounds that fail at scale
  • Escalation processes that are slow or informal
 

Firms that manage this effectively recognize that valuation sits squarely within the COO, CFO and CRO agenda. It requires the same rigor as other core infrastructure: controls, repeatability, auditability and clear accountability.

Efficiency alone is not enough. A fast process that cannot be evidenced or defended is ultimately fragile.

Technology as an Enabler—Not the Answer

As valuation volumes grow, technology has become essential, but it is frequently misunderstood.

Firms are increasingly investing in integrated valuation platforms and data environments to support workflow management, centralize investment data and enable consistent auditable valuations at scale, while maintaining a clear distinction between technology enablement and valuation judgment.

Modern valuation infrastructure should extend well beyond calculation of engines. At a minimum, it integrates:

  • Workflow orchestration and clear task ownership
  • Centralized data management across complex private assets
  • Model governance and version control
  • Permissions, segregation of duties and audit trails
  • Exception handling and escalation
  • Structured use of internal and external reference points
 

When implemented effectively, technology supports consistency, transparency and control. It creates an environment in which judgment can be exercised thoughtfully, challenged appropriately and documented rigorously.

Whether the work is performed by human analysts, AI or a combination, accountability cannot be delegated. CFOs, COOs, CROs, heads of valuation and conducting officers must ultimately make the final judgment and own the output.

AI’s Real Value Lies Behind the Scenes

AI is rapidly entering the valuation conversation, but its most meaningful contributions are often the least visible. The most credible use cases are not about replacing judgment but about augmenting it. Firms are seeing tangible value in areas such as:

  • Data extraction and classification from unstructured sources
  • Anomaly detection across large valuation populations
  • Consistency checks across models, assumptions and outputs
  • Supporting documentation and challenge preparation
  • Workflow triage and exception flagging
 

AI is most effective when embedded within a strong governance framework. Firms must be clear about where AI informs decisions and where human accountability remains paramount. Controls, explainability and oversight are nonnegotiable.

In practice, AI enhances the quality and consistency of valuation processes; it does not replace judgment, nor does it remove responsibility for the outcome.

Data and Benchmarking Are Moving Center Stage

If technology is the backbone of valuation infrastructure, data remains its most critical input. Private markets have long been challenged by data that is incomplete, lagged, fragmented or difficult to contextualize.

As access to more granular, deal-level information improves, particularly in private credit, firms are increasingly embedding data and benchmarking into their valuation processes to provide additional context, enable more structured challenge and strengthen governance.

This shift reflects growing demand for information that is timely, decision-relevant and rooted in observable market activity. Used effectively, data enhances portfolio monitoring, supports relative value analysis and improves the overall robustness of valuation processes.

However, not all benchmarks are created equally. Traditional benchmarks are often based on highly aggregated or lagged data, limiting their usefulness in fast-moving or less transparent markets.

More advanced solutions, such as Kroll’s Private Capital Markets platform, are differentiated by their use of contemporaneous origination data. By using transaction-level insights drawn directly from current deal flow, these benchmarks provide a more immediate and market-reflective view of pricing and risk.

This distinction is critical in today’s environment. Kroll Stepstone Benchmarks offer:

  • Primary market pricing
  • Transparent methodology and global coverage
  • Timeliness aligned to current origination activity
  • Appropriate context for interpretation, reflecting asset, structure and market nuances
 

Access to contemporaneous origination data is particularly important in private markets, where pricing inefficiencies and information asymmetry are more pronounced. It allows firms to anchor valuations in observable market behavior, strengthening both internal challenge processes and external defensibility.

Benchmarks enhance judgment, providing a more objective, evidence-based foundation for challenge and debate and, ultimately, more credible and defensible valuation of decisions.

Bringing It All Together in Practice

In the real world, firms do not operate separate conversations labeled “workflow,” “data,” “AI” and “valuation.” They operate a single valuation process that must function effectively under pressure.

Where infrastructure is mature, several characteristics tend to be present:

  • Experienced professionals focused on judgment rather than administration
  • Technology supporting consistency, not dictating conclusions
  • Benchmarks used as reference points, not substitutes for analysis
  • Governance structures that enable meaningful challenge and escalation
  • Clear evidence trails that withstand internal and external scrutiny
 

Robust infrastructure removes unnecessary ambiguity regarding how decisions are made—providing clarity, consistency and a stronger foundation for governance.

Leading firms are increasingly strengthening their frameworks by combining internal infrastructure with external data, analytics and valuation expertise, enhancing both operational efficiency and governance robustness.

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