A university or college moving from ad hoc AI experimentation to a structured curriculum, faculty training and a functioning AI lab — without an internal team that has done this before.
What You Can Expect
A certified faculty cohort teaching AI competently and consistently; a governed, managed AI lab environment instead of shadow-IT tool sprawl; a defensible institutional AI-in-education policy; and a renewable annual relationship that expands into adjacent departments rather than a one-time training event that goes stale.
When This Applies
A single department wants to run a contained AI curriculum pilot with clear outcomes data before asking the faculty for a larger budget commitment.
Faculty are already using AI tools informally in coursework with no institutional policy, oversight, or lab governance in place.
Leadership wants an annual program that compounds — starting in one faculty and expanding — rather than a single training session that goes stale.
In Their Own Words
"As a Dean, I need a certified AI curriculum my faculty can actually teach, so that our program stays competitive without every professor building their own ad-hoc AI unit."
"As a VP of L&D, I need a governed AI lab environment for our training programs, so that employees can practice with real tools without creating a data-privacy incident."
How We Work
Deliverables
Certified instructor cohort; AI curriculum module library; managed AI lab environment (provisioned and access-controlled); institutional AI-in-education policy document; annual renewal and expansion roadmap.
Technology & Tools
Tracks instructor certification progress and competency assessment
Provisioned, monitored AI tool access for students and faculty
Institutional policy library covering academic integrity, data privacy and vendor management
Frameworks Applied
Artificial intelligence management systems — organizational accountability, AI policies, lifecycle governance, risk management and continuous improvement.
Canadian federal privacy law governing the collection, use, disclosure and safeguarding of personal information.
How Success Is Measured
Representative Scenarios
Situation: A business school wanted to teach AI competency but had no certified curriculum and no institutional policy governing classroom AI tool use.
Approach: A Single Department pilot ran for one term, then expanded to a Full Faculty engagement based on the pilot's outcomes data.
Outcome: The faculty entered the following academic year with a certified instructor cohort, an adopted AI-in-education policy, and a renewed annual program.