AI for Universities and Colleges in Canada

When universities and colleges call us

• Student services inboxes overflow at the start of each term. Admissions, the registrar and financial aid answer the same questions by email and chat, in English and French.
• Faculty and staff already use ChatGPT, Copilot or Claude on personal accounts. The institution needs an approved tool, a written use policy and a clear line on which data may go in.
• Senate or a committee wants a position on generative AI. Deans need a shared framework they can adapt course by course.
• A vendor has pitched an AI add-on for the student information system or learning platform. Procurement wants an independent read before the privacy review starts.
• Research and grant offices re-key the same details across forms. Staff time goes to copying, checking and chasing signatures.

What we automate for universities and colleges

Student inquiry assistant. An FAQ assistant built on the published calendar, program pages and policies answers routine questions on the website or in the portal, in English and French. Each answer links to the page it came from. Staff handle anything that involves a specific student record, an appeal or a wellness concern.

Admissions and transfer credit documents. Document processing reads transcripts and supporting files, extracts courses and grades into a review sheet and flags missing items. The admissions officer makes every decision.

Staff knowledge assistant. An internal assistant over HR, finance and IT policies answers staff questions with a link to the source policy. Policy owners decide what goes into it and review answers that get flagged.

Drafting support for administration. First drafts of committee minutes, reports, grant narratives and routine letters in Microsoft Copilot (formerly Microsoft 365 Copilot), ChatGPT Edu or Claude, under an institutional licence. The author reviews, edits and signs.

AI use policy and staff training. A written AI use policy for staff, a framework for instructors and training by department. Academic integrity rules stay with the institution's senate and faculties.

Canadian rules that shape the work

FIPPA (Ontario). Ontario's public colleges and universities are institutions under FIPPA. Since July 1, 2025, FIPPA requires a written privacy impact assessment before collecting personal information, and reporting to the IPC of breaches that carry a real risk of significant harm. In the project, the PIA is drafted at the design stage, before any student data reaches an AI tool.

O. Reg. 51/26 under the Enhancing Digital Security and Trust Act, 2024. From July 1, 2026, colleges and universities must run a cyber security program, name a senior employee as cyber contact and report critical incidents to the ministry's chief information security officer within 72 hours after confirming them. A new AI tool or integration is added to that program's inventory and incident plan.

Quebec Act respecting access to documents held by public bodies (A-2.1). CEGEPs and the university institutions listed in the Act are public bodies. Section 63.5 requires a PIA for any project to acquire, develop or overhaul an information system involving personal information. Section 65.2 requires telling a person when a decision about them is based exclusively on automated processing. Admissions and aid workflows keep a staff member as the decision-maker.

IPC and OHRC Principles for the responsible use of AI (January 2026). The principles say AI systems must be valid and reliable, safe, privacy-protective, human-rights affirming, transparent and accountable. We use them as the checklist when ranking use cases.

Vendor training terms and data location. OpenAI states that ChatGPT Edu data is not used for training by default. Microsoft states that prompts and responses in Microsoft Copilot are not used to train foundation models. Anthropic's education page says data is used to improve models only with permission. OpenAI offers storage at rest in Canada for eligible Edu customers; processing can happen outside Canada. We check the terms of the plan you actually hold.

These points feed straight into the AI compliance review.

Which package fits

Most institutions start with the AI Opportunity Audit. It covers student services, the registrar, IT and the privacy office in two weeks and ends with a ranked list of use cases. A smaller college or a single faculty can start with the Readiness Review.

Full scope of each package is on the pricing page.

How the work runs

The work follows the Remolda Cycle: Audit → Strategy → Implement → Empower → Evolve.

1. Audit. Interviews with student services, the registrar, IT, the privacy office and one or two faculty members. We look at inquiry volumes by channel, document types and the tools already licensed. Student records stay out of scope.
2. Strategy. Ranked use cases, a 12-month roadmap and the PIA questions for the first pilot, reviewed with the privacy office.
3. Implement. A six-week Pilot Sprint builds one workflow on the institution's approved tenant. The student inquiry assistant is a common first choice.
4. Empower. Training by department, a staff AI use policy and a short guide for instructors.
5. Evolve. A quarterly review of answer quality, escalations and the next use case.

In our experience the audit usually takes two weeks from kickoff. It depends on the term calendar, interview availability and the privacy office's review queue.