5 Surprising Investigation Trends from 2026 (and What Organizations Should Do About Them)

Investigation programs are becoming more digital, more collaborative, and increasingly interested in artificial intelligence. But some of the most revealing findings from Case IQ’s 2026 Investigative Case Management Benchmark Report aren’t about how quickly technology is advancing. They’re about where progress is not keeping pace.

The study surveyed more than 450 North American professionals working in HR, ethics and compliance, fraud investigations, and related functions. It examined the full case lifecycle, from intake and triage through investigation management, resolution, and review. Case IQ’s website similarly describes the report as a benchmark for intake, triage, and case closure practices across 450+ investigation teams in North America.

Taken together, the results reveal an important theme: improving one stage of the investigative lifecycle doesn’t necessarily improve the stages that follow it.

Organizations are making it easier to report concerns, for example, but they’re still struggling to capture enough information to triage those reports effectively. Investigator caseloads are getting smaller, yet manual processes are becoming a bigger problem. And while AI dominates conversations about the future of investigations, most organizations still aren’t actively using it.

Here are five findings that stand out and what investigation leaders can do about each one.

1. Reporting Is Getting Easier, But Reports Aren’t Getting Much Better

On the surface, intake is one of the clearest areas of progress.

Live Person Chat adoption more than doubled, rising from 15.8% in 2025 to 32.9% in 2026. AI-Powered Intake appeared in the benchmark for the first time, with 7.9% adoption, and 41.2% of respondents selected it as a channel they would like to adopt over the next 18 months. Meanwhile, the percentage of organizations rating their access and incident-capture processes as Very Effective increased from 28.7% to 42.2%.

You might expect better access to produce better reports, but it hasn’t; at least not yet.

More than 70% of respondents said initial reports contain sufficient information only Sometimes or About Half the Time. Just 22.3% said reports contain enough information Most of the Time or Always. Even more striking, report completeness barely changed year over year despite the expansion of digital intake channels.

What This Means

Organizations may be solving the access problem without solving the information-quality problem.

Adding another reporting channel can make it easier for someone to speak up, which matters. But an easy-to-submit report that leaves investigators chasing basic facts can simply move the bottleneck from intake to triage.

That distinction should influence how organizations evaluate their reporting programs. Intake effectiveness shouldn't be measured solely by how many channels exist, how easy they are to access, or how many reports they generate. Organizations should also ask whether those channels consistently capture the information investigators need to assess risk and determine what happens next.

What Organizations Can Do

• Measure report completeness, not just report volume. Track how frequently investigators must go back to reporters for essential details and which information is most commonly missing.
• Review intake questions by case type. A harassment allegation, fraud tip, safety incident, and conflict-of-interest report may require different information. Use conditional questions rather than forcing every reporter through the same form.
• Build follow-up into the reporting experience. Make it easy for investigators to communicate securely with identified and anonymous reporters when clarification is required.
• Explore AI-assisted intake carefully. AI can potentially ask relevant follow-up questions dynamically rather than relying solely on static forms, but organizations should establish appropriate privacy, security, and human-oversight controls before deployment.

The goal isn't simply more digital intake. It is better information entering the investigative lifecycle.

2. Anonymous Reporting Is Declining (and That Isn’t Automatically Good or Bad)

One of the report's most striking year-over-year changes concerns anonymity.

In 2025, 30.4% of organizations said fewer than 10% of their reports were anonymous. In 2026, that figure jumped to 45.6%. At the other end of the spectrum, organizations saying more than 75% of reports were anonymous fell from 25.8% to just 8.1%.

The report notes that this trend may point toward greater trust and willingness among employees to raise concerns openly. Expanded digital reporting options may also be giving reporters more ways to choose channels they feel comfortable using.

But organizations should be careful about treating a falling anonymity rate as a simple measure of success.

What This Means

More identified reporting can indicate that employees trust the organization enough to attach their names to concerns. It can also make follow-up easier and improve the information available to investigators.

But anonymity remains an important safeguard for people who fear retaliation, have concerns involving senior leaders, or otherwise don't feel safe identifying themselves.

In other words, the ideal metric isn't necessarily "less anonymous reporting." It's reporter choice and confidence.

A healthy speak-up environment gives people several safe ways to raise concerns and lets them decide which one is appropriate for their situation. Case IQ’s current whistleblowing solution reflects this omnichannel approach, providing confidential reporting options and 24/7 anonymous reporting in 100+ languages.

What Organizations Can Do

• Track anonymity alongside other speak-up metrics. Compare anonymity rates with report volume, retaliation allegations, reporter follow-up rates, substantiation rates, and employee survey data.
• Don't remove anonymous options because identified reporting rises. Employees facing higher-risk situations may need anonymity most.
• Explain what happens after someone reports. Employees should understand how confidentiality is handled, who can access case information, and what protections exist against retaliation.
• Analyze anonymity by business unit or location. A company-wide decline may hide pockets where employees remain reluctant to identify themselves.

The question isn't, "How do we reduce anonymous reports?" It is, "Do employees trust our process enough to choose the reporting method that feels safest?"

3. Investigator Caseloads Are Falling While Manual Work Is Rising

At first glance, the workload data looks encouraging.

The percentage of organizations where investigators manage just one to five active cases at a time increased from 40.9% in 2025 to 55.1% in 2026. Evidence-gathering challenges also declined, from 39.8% to 31.3%.

Yet another obstacle moved sharply in the opposite direction.

The percentage identifying Manual Processes as an investigation challenge increased from 12.9% to 20.4%. That combination is revealing.

What This Means

Reducing the number of cases on an investigator's desk doesn't automatically remove the friction inside each case.

An investigator might have fewer active matters but still spend substantial time manually assigning tasks, gathering documents, building timelines, updating spreadsheets, searching policies, documenting activity, preparing interview questions, or assembling final reports.

This suggests organizations should look beyond caseload as their primary measure of investigative capacity. The more useful question may be: How much investigator time is actually spent investigating?

Case IQ’s case management platform addresses this type of workflow friction through automated routing, configurable workflows, centralized case information, and analytics, plus Clairia, an AI assistant designed to take care of tedious tasks. Cases can be assigned based on factors such as type, region, severity, or workload.

What Organizations Can Do

• Conduct a workflow audit. Have investigators document where their time goes throughout a typical case. Identify repetitive administrative tasks and handoffs.
• Automate predictable steps first. Case routing, notifications, reminders, escalations, task assignment, and recurring documentation requirements are good candidates.
• Centralize case information. Reduce time spent moving between email, spreadsheets, shared drives, HR systems, and other disconnected tools.
• Measure administrative time per case. Track whether process changes actually give investigators more time for interviews, evidence analysis, and decision-making.

Don't mistake a smaller caseload for an efficient investigative process. Capacity depends on both how many cases investigators manage and how much friction exists inside each case.

4. Investigations Are Taking Longer, But Fewer Are Truly Prolonged

The case-closure data contains an apparent contradiction.

Fast closures declined considerably. The share of cases resolved within roughly the first week fell sharply year over year, while cases closing within 15–28 days increased from 13.8% to 36.2%.

Yet investigations taking more than 28 days actually declined from 28.6% to 19.5%.

So investigations are shifting later, but not necessarily spiraling into long-running cases.

What This Means

Faster isn't always better.

A case closed in three days isn't inherently more effective than one closed in three weeks. Complex investigations may require interviews, document review, evidence collection, collaboration among HR, legal, compliance, security, or other specialists, and sufficient time to reach a defensible conclusion.

The 2026 findings may therefore indicate a movement toward a more deliberate middle ground: fewer very rapid closures, but also fewer cases stretching beyond a month.

That makes time-to-resolution a more nuanced KPI than simply "days to close."

Organizations need to distinguish productive investigative time from avoidable delay.

What Organizations Can Do

• Segment closure-time metrics by case type, severity, and complexity. Comparing a straightforward policy inquiry with a multi-jurisdictional fraud investigation tells you little.
• Identify where cases actually stall. Measure time spent waiting for assignment, reporter follow-up, interviews, document collection, approvals, legal review, and final reporting.
• Create service-level targets by risk category. High-risk matters should trigger different escalation and oversight requirements than routine cases.
• Use automated reminders and escalations. Cases approaching predefined thresholds should become visible before they become overdue.
• Balance speed with quality. Review whether unusually fast closures correlate with reopened cases, incomplete documentation, or other quality concerns.

The goal should not be to close every investigation as quickly as possible. It should be to eliminate unnecessary delay while preserving investigative rigor.

5. AI Interest Is Accelerating Exactly Where Adoption Remains Weakest

Few findings capture the current state of investigative AI better than the triage results.

Nearly two-thirds of organizations—65.8%—reported no use of automation or AI in triage. Only 29.4% reported using it.

Yet interest in AI-powered triage increased from 13.0% in 2025 to 20.9% in 2026, making triage one of the fastest-growing areas of expected AI impact. Meanwhile, interest in using AI for final report generation dropped from 22.7% to 14.3%.

The larger AI picture is similarly striking. 59.9% of organizations still don't actively use AI in case management and investigations, and overall adoption rose only slightly, from 27.8% to 29.9%. Among adopters, 70.8% remain in Early Exploration, while just 3.6% describe their programs as Fully Mature.

At the same time, investment priorities are shifting. Investment in AI technology increased from 26.9% to 40.7%, even as policy and procedure updates declined from 58.2% to 26.5%.

What This Means

The AI conversation may be moving upstream.

Early enthusiasm often centered on obvious generative-AI tasks such as summarization and report drafting. Organizations now appear increasingly interested in whether AI can help earlier in the process—where incomplete information, prioritization, assignment, and risk assessment create bottlenecks before an investigation even starts.

That makes sense given another finding: 57.4% of respondents identified insufficient intake information as their leading triage challenge.

But the maturity data should temper the rush to deploy. Privacy concerns, unreliable outputs, and lack of organizational policies remain important barriers.

Current Case IQ guidance reflects a governed, human-in-the-loop approach. Clairia, Case IQ's AI assistant, works within the case management platform and can cross-reference case details against policies, identify missing information, assemble timelines, and provide investigative guidance while keeping investigators responsible for final decisions.

What Organizations Can Do

• Start with a defined problem, not an AI mandate. Identify where investigators lose the most time or consistency before choosing a use case.
• Pilot narrow, measurable applications. Case summaries, timelines, missing-information checks, policy cross-referencing, or triage assistance can provide clearer measures of value than broad AI deployments.
• Keep humans accountable for investigative decisions. AI should assist investigators—not independently determine credibility, substantiation, discipline, or other consequential outcomes.
• Establish governance alongside technology investment. Define acceptable uses, access permissions, validation requirements, data-handling standards, and escalation procedures.
• Measure outcomes. Compare time saved, information completeness, consistency, false outputs, investigator satisfaction, and case quality before and after implementation.

AI maturity isn't measured by how many AI tools an organization deploys. It is measured by whether AI makes investigations more consistent, efficient, secure, and defensible.

Bonus Finding: Substantiation Rates Are Falling

Perhaps the most consequential finding in the report appears at the end of the investigative lifecycle.

Nearly half of organizations—49.2%—said they substantiated 25% or fewer of reported cases, compared with 33.7% in 2025. Meanwhile, organizations substantiating more than half of their reports declined from 32.1% to 21.5%.

A lower substantiation rate does not automatically mean investigations are getting worse. Changes in reporting behavior, case mix, organizational practices, or other factors could affect the result.

But combined with the other findings—persistent intake gaps, largely manual triage, growing workflow friction, and limited analytics maturity—it deserves attention.

What Organizations Can Do

Instead of treating substantiation as an isolated KPI, examine the entire path leading to it. Compare substantiation by intake channel, report completeness, case type, investigator, business unit, investigation duration, and other relevant variables. Review unsubstantiated cases for recurring information gaps and look for patterns that suggest weaknesses earlier in the lifecycle.

That last step is particularly important because 60.2% of respondents rated their ability to measure investigative performance and outcomes as only Moderately Effective or less.

Case management analytics can help organizations turn historical case data into information about root causes, emerging incident trends, case activity, and investigative performance rather than treating case closure as the end of the process.

The Bigger Lesson: Optimize the Lifecycle, Not Individual Steps

The most important message from the 2026 research may not be any individual statistic.

It's the relationship between them.

Better access doesn't necessarily create better reports. Fewer cases per investigator don't automatically eliminate inefficiency. Faster isn't always synonymous with better. And investing in AI doesn't create AI maturity on its own.

Each stage affects the next.

Incomplete intake creates triage work. Manual triage delays assignment. Inefficient workflows consume investigator capacity. Inconsistent case data limits analytics. Weak analytics make it harder to understand outcomes, identify root causes, and improve future investigations.

That is why organizations should evaluate investigations as a connected lifecycle rather than a collection of separate activities.

Case IQ's case management platform brings together omnichannel intake, configurable workflows, automated routing, AI-assisted investigation support, and reporting and analytics designed to uncover root causes and emerging trends. The opportunity is not simply to digitize individual tasks, but to connect the information and workflows required to move a concern from report to resolution—and then turn what the organization learns into prevention.

The organizations that make that shift will be better positioned to investigate efficiently, make more consistent decisions, and use every case as an opportunity to strengthen the processes that come next.

To learn more about Case IQ's solutions, book a call with one of our experts today.

Frequently Asked Questions

What are the biggest investigation trends in 2026?

Case IQ’s 2026 research shows that investigation programs are becoming more digital and collaborative, but important operational gaps remain. Digital intake channels are expanding, yet more than 70% of initial reports still require additional information before they can be effectively triaged. Manual processes are also becoming a larger investigative bottleneck, while AI adoption remains relatively low despite growing interest in AI-powered triage.

Why is report quality still a challenge despite better digital intake?

Making it easier to report an incident does not necessarily ensure that investigators receive all the information they need. More than 70% of respondents to Case IQ's survey said reports contain sufficient information only Sometimes or About Half the Time. Organizations can address this gap by reviewing intake questions, tailoring them to different incident types, providing secure follow-up options, and exploring guided or AI-assisted intake that can help collect relevant information earlier in the process.

Are fewer employees reporting incidents anonymously?

The research suggests so. In 2026, 45.6% of organizations said fewer than 10% of their reports were anonymous, compared with 30.4% in 2025. Meanwhile, the percentage of organizations reporting that more than 75% of incidents were anonymous fell from 25.8% to 8.1%. This could indicate greater willingness to report openly, but organizations should continue providing anonymous reporting options for employees who need them.

How can organizations make investigations more efficient?

Organizations should look beyond investigator caseloads and examine how much time is consumed by manual work throughout the investigation. In the 2026 research, the percentage of organizations identifying manual processes as an investigative challenge increased from 12.9% in 2025 to 20.4% in 2026. Automating repeatable tasks, centralizing case information, establishing consistent workflows, and tracking where cases stall can help investigators spend more time on substantive investigative work. Case IQ also identifies automated workflows and centralized case management as ways to reduce administrative work in investigations.

How are organizations using AI in investigations?

AI adoption is still developing. According to the 2026 benchmark, 59.9% of organizations do not actively use AI in case management and investigations, while 70.8% of organizations that have adopted AI remain in the Early Exploration stage. Interest is increasingly shifting toward AI-assisted triage, where organizations see opportunities to improve case prioritization and assessment earlier in the investigative lifecycle. Case IQ’s Clairia AI assistant is designed to support investigators throughout the case lifecycle while keeping human investigators responsible for decisions.

What should organizations measure to improve their investigation programs?

Organizations should evaluate the entire investigative lifecycle rather than relying on a single KPI such as case-closure time or substantiation rate. Useful measures include report completeness, time to triage, investigator workload, time spent at each investigation stage, case duration by type and complexity, substantiation rates, outcomes, root causes, and recurring incident trends. Reviewing these metrics together can help teams identify where problems originate and where process improvements will have the greatest impact.