Higher-ed admin (registrar, financial aid, R1 grants)
Illustrative scenario

Automating the First Screen: AI-Driven ITAR and EAR Review for R1 University Research

Export control officers at R1 research universities face a volume problem that compounds with every new international collaboration: 50-100 new requests per semester, each requiring 3-4 hours of manual ITAR, EAR, and OFAC screening before legal review can even begin. At that throughput, the backlog is structural. An AI agent handles the initial screening layer systematically, so the Export Control Officer's time goes to the cases that genuinely require legal judgment.

Up and running in ~6 wkFor: Export Control Officer or Research Compliance Director
Estimate your payback
~4 mo
Payback period
$195K
Est. savings / year
+$135K
Year-1 net

Rough estimate — change the numbers to match your business. We scope the real figures with you on a call.

The Screening Bottleneck That Slows Every Collaboration

International research collaborations at R1 universities trigger compliance review under three overlapping regulatory frameworks — ITAR (22 CFR 120-130), EAR (15 CFR 730-774), and OFAC sanctions — each with its own classification logic and watch lists. An export control officer screening 50-100 cases per semester at 3-4 hours each is consuming most of their available capacity on initial triage, leaving limited bandwidth for the ambiguous cases that require genuine expertise. The cost of that bottleneck isn't just staff time ($150,000–$300,000/year in export control compliance staffing) — it's also research delays and the compliance risk of cases that fall through the queue.

Automated Screening Grounded in Your Case History

An AI Labor Company agent mines historical screening outcomes from Cayuse Research Compliance to build a classification model grounded in your university's own regulatory interpretations. For each new international collaboration request, a Gemini-powered agent runs automated technical data jurisdiction analysis under ITAR and EAR, executes real-time OFAC SDN list checks, and generates a risk classification with specific regulatory citations. Low-risk cases route to standard processing without consuming Export Control Officer time. Ambiguous or high-risk cases escalate immediately with a complete preliminary analysis already assembled — so the officer's review starts from a documented starting point, not a blank screen.

The Business Case: Compliance Capacity That Scales With Research Volume

This is fundamentally a risk and capacity play. At 55–75% reduction in screening time per case, an export control office that currently processes 50-100 requests per semester can handle materially higher volumes without additional headcount — which matters as international collaboration activity at R1 institutions continues to grow. More important, systematic screening with regulatory citation creates a documented record for each case, which is increasingly valuable under OCR and DOJ scrutiny of research security programs. The agent is typically live and producing results in about 6 weeks, well within a semester planning cycle.

Works with
Cayuse Research ComplianceSalesforceSAP S/4HANASharePointMicrosoft 365Windward System Five
Questions

How does the agent stay current with ITAR, EAR, and OFAC regulatory updates?

The agent is connected to current OFAC SDN lists and updated regulatory databases. When regulatory changes affect classification logic, the screening model is updated accordingly — your Export Control Officer receives a notification of any classification logic changes for review rather than discovering them through a screening error.

What happens with fundamental research exclusion determinations?

The agent flags cases where fundamental research exclusion may apply and surfaces the relevant regulatory criteria for Export Control Officer determination. Exclusion decisions are not automated — they route to the officer with the preliminary analysis completed, but the determination itself remains a human decision.

Related use cases

Illustrative scenario for education & edtech. Figures are example ranges, not guarantees — we scope real numbers with you on a call.

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