Operational due diligence (ODD) is undergoing a fundamental shift. What was once a structured, point-in-time exercise anchored around annual reviews, static DDQs, and periodic updates is rapidly evolving into something far more dynamic. The emerging model, sometimes referred to as ODD 3.0, reflects a new reality: risk is no longer static, and neither is the data used to assess it.
At the center of this evolution is a simple but critical observation: data degrades quickly while the nature and depth of the data in play has expanded tremendously.
Policies change, personnel turn over, service providers are replaced, controls evolve, and new risks emerge. Yet traditional ODD frameworks have historically relied on snapshots in time, often taken months apart. By the time an allocator completes a review, portions of that assessment may already be outdated. In an environment defined by increasing regulatory scrutiny, operational complexity, and interconnected risks, that lag is no longer acceptable.
As a result, leading firms are rethinking ODD as a continuous process rather than a discrete event. More importantly, ODD is no longer “a questionnaire”.
This is the foundation of ODD 3.0.
Instead of relying solely on DDQs as the primary source of truth, firms should be expanding the aperture, leveraging broader, more diverse data sets from multiple sources. DDQs still play an important role, but they are no longer the center of the diligence universe. They are one input among many.
In the ODD 3.0 model, allocators are incorporating:
- Ongoing document updates (policies, ADV, SOC reports, financials)
- News and adverse media monitoring
- Regulatory filings and disclosures
- Service provider data and third-party risk signals
- Internal notes, meeting summaries, and historical assessments
This shift transforms due diligence from a backward-looking validation exercise into a forward-looking risk intelligence function.
But the move to continuous monitoring introduces a new challenge: scale.
More data, more sources, and more frequency quickly overwhelm traditional processes and even legacy DDQ platforms. Manual workflows, spreadsheets, email chains, and static repositories simply cannot keep up. Without the right infrastructure, continuous monitoring risks becoming continuous noise.
This is where technology, particularly purpose-built platforms, becomes essential.
ODD 3.0 is not just about accessing more data; it’s about connecting it, contextualizing it, and turning it into actionable insight. Domain-specific platforms enable this by acting as a centralized system of intelligence, where structured and unstructured data converge. They allow firms to continuously ingest updates, map them to existing diligence frameworks, and surface changes that actually matter.
More importantly, they introduce a layer of ongoing analysis.
Rather than waiting for the next review cycle, AI-powered systems can flag deviations in real time, whether it’s a change in a key policy, a new risk disclosed in filings, or an inconsistency between past and current responses. This allows diligence teams to shift from reactive assessments to proactive oversight.
In this model, the role of the analyst evolves as well.
Instead of spending the majority of their time collecting and reconciling information, analysts focus on interpreting signals, validating insights, and making informed decisions. AI does not replace judgment; it amplifies it by ensuring that the most relevant, up-to-date information is always within reach.
The benefits are significant.
Continuous monitoring reduces the risk of blind spots between review cycles. It improves responsiveness to emerging risks. It enhances transparency for internal stakeholders and external regulators. And it ultimately leads to better-informed investment decisions.
But perhaps most importantly, it aligns due diligence with how risk actually behaves in today’s market: continuously.
ODD 3.0 is not a future concept; it is already taking shape. As data becomes more fluid and risks more interconnected, the firms that embrace continuous diligence will be better positioned to navigate complexity with confidence.
The question is no longer whether ODD should evolve.
It’s whether you are equipped to support that evolution.