If you're a provost, department chair, or academic technology director evaluating AI simulation platforms for your institution, this guide provides a structured framework for comparison.
We've seen dozens of institutions go through this process. The ones that make good decisions ask the right questions early.
Ask: Does the platform's assessment philosophy match your institution's learning outcomes framework?
What to look for:
Red flags: Platforms that emphasize "pass/fail" screening rather than developmental assessment. Platforms that can't align to your existing rubrics.
Ask: Can this platform serve 50 students in a pilot AND 5,000 students across departments?
What to look for:
Red flags: Per-session pricing that makes scaling prohibitive. Scheduling requirements that create bottlenecks. Vendor-dependent scenario creation.
Ask: Does this integrate natively with our Learning Management System?
What to look for:
Red flags: "We have an API" without native LMS integration. Manual grade transfer requirements. Separate student accounts.
Ask: Can our faculty create and customize simulations without vendor involvement?
What to look for:
Red flags: Vendor-only content creation. Long turnaround times for custom scenarios. Unclear IP ownership terms.
Ask: Does the platform produce evidence that satisfies accreditation requirements?
What to look for:
Red flags: Raw recordings without structured analysis. Assessment data that can't be mapped to learning outcomes. No export functionality.
Ask: Is this FERPA-compliant? Does it meet our data governance requirements?
What to look for:
Red flags: No FERPA documentation. Student data stored without institutional controls. No data retention policies.
Ask: What's the real cost at our target scale over 3 years?
What to look for:
Red flags: Per-session pricing that compounds with scale. Separate charges for integration, training, or support. Pricing that requires a sales call to discover.
Phase 1: Discovery (2 weeks) Define requirements, identify stakeholders, and request demos from 2–3 platforms.
Phase 2: Pilot (4–6 weeks) Run a controlled pilot in one course with one platform. Measure student engagement, faculty experience, and assessment quality.
Phase 3: Decision (2 weeks) Compare pilot results against evaluation criteria. Present findings to procurement committee.
Phase 4: Rollout (4–8 weeks) Deploy selected platform across target programs with LMS integration, faculty training, and student orientation.
The most effective internal pitch combines three elements:
Start with a pilot. Let the results build the case.
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Integrates with your LMS: