How AI Case Management Cuts Investigation Time (and How to Measure It)

Short answer: An AI case management platform that ingests files with drag‑and‑drop, auto‑correlates entities across sources, creates a single unified case database, and outputs 1‑click reports will compress weeks of manual work into minutes—without sending data to the cloud. Deploy it on‑prem & offline with end‑to‑end encryption, granular user rights, and full audit logs so every second saved is also fully auditable.

What “AI case management” includes (in practice)

• Core modules: A.I. Knowledge Bases, A.I. Case Management, drag’n’drop Fusion, 1‑click Reports.

• Unified view: All material lands in a single organised & unified database for search, analytics, and reporting.

• Frictionless intake: Drag‑and‑drop ingestion (files, CSV/CSVs, PDFs, emails, SAR/STR drafts) plus APIs to trigger checks.

• Automated correlation: Cross‑correlate case data with the sources you choose (transactions, customer 360, sanctions, PEP/adverse media, watchlists).

• On‑prem & offline by default: No external transmission; end‑to‑end encryption, role‑based access, full activity/audit logs.

US Public Safety & SIU. Drag‑and‑drop Fusion for investigations; SOC receives alerts in seconds; reports are exportable for court.

Where time is lost today—and how the platform removes it

1. Collecting and sorting filesInvestigators burn hours triaging PDFs, emails, spreadsheets, and notes. With drag’n’drop Fusion, the system ingests “any format, no manual sorting” and builds the case automatically.

2. Hopping between systemsManual lookups across sanctions, PEP/adverse media, and internal databases slow everything down. The platform auto‑cross‑correlates against these datasets inside a single workspace.

3. Re‑creating the picture for every audienceAnalysts reformat the same facts for managers, regulators, or court. 1‑click reports produce evidence‑ready output from the live case.

4. Waiting on custom connectorsIntegration projects delay the start of real work. AI automated fusion—no need to build connectors—lets teams start immediately, then add APIs as needed.

Quantified gains (examples from deployed use‑cases)

• Fraud & insurance SIU: “See every connection across claims, reports, and data instantly—so your investigators find fraud in minutes, not weeks.”

• Container/X‑ray intelligence: Projects report 80–90% reduction of manual work while increasing accuracy.

• Border & airport screening: Learning from agent flags cuts false positives by ~50%, focusing effort on real risk.

• CCTV operations: Alerts to your SOC in seconds; dashboards and exports are generated on‑prem.

These outcomes are delivered on‑prem & offline with end‑to‑end encryption, user rights, and immutable audit logs, so performance improvements are measurable and court‑ready.

How to measure investigation time (field‑tested, copy‑paste framework)

1) Baseline your current process

• Capture time‑and‑motion for 10–20 representative cases: intake → correlation → analysis → reporting.

• Export any existing time stamps you have (ticketing, case notes). You’ll use these to compare against the pilot.

2) Set evaluation metrics up front

• Use the six measurable lifecycle steps—Data Collection → Preparation → Training → Evaluation → Deployment → Retraining—to define KPIs you’ll track.

• For video/crowd pilots, benchmark against manual counts and publish error rates.

3) Run an on‑prem pilot with audit logging enabled

• Keep the deployment offline/on‑prem; confirm no external transmission.

• Ensure full activity/audit logs are on—these become your system‑of‑record for time deltas.

4) Measure before/after on these KPIs

• Time to case ingest (T_ingest): first file dropped → case created.

• Time to first correlation (T_correlate): case created → first cross‑source link map/summary.

• Time to report (T_report): case created → 1‑click report/SAR‑STR generated.

• Manual‑work share: percent of steps that remain human after adoption—target reductions where prior deployments showed 80–90% less manual work (analogous X‑ray domain).

• Alert latency (video): event detected → alert to SOC in seconds.

• False‑positive rate (border/airport): baseline vs. model‑assisted (~50% reduction cited).

5) Report and institutionalize

• Publish KPI deltas and error rates; the platform’s 1‑click reports and audit trails make findings reviewable.

• Feed operator feedback and new data into the retraining loop to keep improving.

GCC (UAE, KSA, Qatar). Deploy on‑prem & optionally air‑gapped across airports, free‑zones, and banks. Start with drag‑and‑drop fusion, add only the databases you need, and keep audit trails local.

KPI menu you can lift into your RFP

• Investigations (LE/FIN): T_ingest, T_correlate, T_report, % cases completed in ≤1 day, # sources checked per case (no added connectors), audit‑trail completeness.

• AML/KYC: time to Drag, Drop, Check & Approve; SAR/STR throughput per analyst; % of checks run offline; # of databases used (pay only for what you need).

• CCTV/SOC: alert latency (seconds), unique people count accuracy vs manual, report export time.

• Customs/Ports: manual‑work minutes per container, re‑inspection rate, evidence pack generation time. (Reference: 80–90% manual reduction in X‑ray projects.)

Governance that makes results defensible

• On‑prem & offline operation with end‑to‑end encryption keeps evidence inside jurisdiction.

• Role‑based access and full audit logs back every KPI with a chain‑of‑actions.

• Unified database + 1‑click reports ensure consistent, reproducible outputs.

Bottom line Case Management Cuts Investigation Time

AI case management removes the grind—intake, correlation, and reporting—so your team can think instead of copy‑paste. The gains (minutes‑not‑weeks, 80–90% less manual work, 50% fewer false positives, alerts in seconds) come with on‑prem, encrypted, audit‑logged assurance—so faster also means safer. Case Management Cuts Investigation Time