Use Case

AI Governance for Universities & Research

Staff and students use ChatGPT, Claude, and Copilot daily. One dashboard for the whole institution.

The problem

Every university in the country has staff and students using AI tools every day. Lecturers draft module outlines with ChatGPT. Researchers use Claude to analyse data. Students use Copilot for coursework. But there is no institutional record of any of it. When UKRI asks how AI was used in a funded project, you have nothing. When QAA asks about academic integrity controls, you have nothing. And under EU AI Act Annex III, education AI is classified as high-risk — full compliance obligations apply by December 2027.

IT Director

Deploy one URL across the entire institution. Every AI tool routes through A2A TrustGate automatically. No per-device installs, no browser extensions. Central visibility over every department's AI usage from a single dashboard.

Research Ethics Board

Full audit trail for every funded research project. Know exactly how AI was used, what data was processed, and what outputs were generated. Export evidence for UKRI, Horizon Europe, or any funder on demand.

Academic Governance

AI usage data for institutional policy. See which faculties use AI, how often, and for what purposes. Make data-driven governance decisions instead of guessing. Support QAA academic integrity frameworks with real evidence.

See it in action

A Research Protocol binds a study to its ethics approval and grant scope — then the gate enforces it, recorded live.

A protocol is raised for a cohort sentiment study under a registered grant. The funder's grant scope becomes a hard ceiling at the gate:

  • ALLOWED  Sentiment analysis on the anonymised cohort dataset — inside the protocol.
  • BLOCKED  Exporting raw participant data — outside the authorised scope, denied and logged.

The principal investigator closes it with a signed protocol record — one tamper-evident trail the ethics committee and the funder both verify.

How it works

  1. 60-second connect — IT deploys one URL. Staff and students paste it into their AI tool settings (Claude, ChatGPT, Cursor, Copilot). No software to install. Works in 60 seconds.
  2. Department dashboards — each faculty, school, or research group gets its own view. IT sees the whole institution. Research Ethics sees funded projects. Academic Governance sees usage trends across all departments.
  3. Compliance exports — one-click export for regulators, funders, and auditors. Tamper-proof audit trail in OCSF format. SHA-256 integrity on every record. EU AI Act Art 12, UKRI, QAA — all covered.

Compliance coverage

EU AI Act Annex III

Education AI is classified as high-risk under Annex III. Universities deploying AI systems must maintain audit trails, implement human oversight, and document risk management. Full obligations apply by December 2027.

UKRI Responsible AI

UKRI expects transparency and accountability in how AI is used within funded research. A2A TrustGate provides per-project audit trails and exportable evidence that satisfies funder requirements.

QAA Academic Integrity

QAA guidance requires clear institutional policies on AI use in assessment. A2A TrustGate provides the evidence layer — logged AI interactions, transparency for students, and data for policy decisions.

Pricing

Starter
$99/mo

Research group. Full safety screening, audit trail, 5,000 pooled evaluations/mo, 3 seats.

Institutional
$79/mo

Department or campus. 500K pooled evaluations/mo, 20 seats (+$4/seat), SSO, full audit trail.

Enterprise
Custom

Institution-wide. 1M pooled evaluations/mo, 25 seats, custom rules, dedicated support. Priced per account — talk to us.

50 researchers on Institutional = $79 + 30 extra seats × $4 = $199/mo. Volume discounts available for institution-wide deployments.

Help

Help

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