Loss Prevention Specialist
Conduct internal investigations
What You Do Today
When evidence points to employee theft or policy violations, conduct structured investigations — gather evidence, review surveillance footage, interview subjects, and document findings for HR and legal.
AI That Applies
AI quickly searches hours of surveillance footage for specific events, correlates physical evidence with transaction data, and organizes case files chronologically.
Technologies
How It Works
For conduct internal investigations, the system draws on the relevant operational data and applies the appropriate analytical models. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
Evidence gathering accelerates dramatically. Finding a specific event in hundreds of hours of footage goes from hours to minutes.
What Stays
Conducting interviews, reading body language, building rapport to get confessions, and maintaining legal standards throughout — that's human investigation skill.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for conduct internal investigations, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long conduct internal investigations takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your claims director or VP Claims
“What data do we already have that could improve how we handle conduct internal investigations?”
They're setting the automation strategy for your unit
your SIU lead
“Who on our team has the deepest experience with conduct internal investigations, and what tools are they already using?”
AI fraud detection changes how investigations are triggered and prioritized
a claims adjuster with 15+ years experience
“If we brought in AI tools for conduct internal investigations, what would we measure before and after to know it actually helped?”
Their judgment sets the benchmark that AI tools are measured against
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.