• Digital faculty infrastructure for scalable teaching support

Use Cases

With MyFaculty.AI

Innovation Use Cases for Educational Institutions

Business Schools and Universities

MyFaculty.AI helps business schools and universities transform their educational, executive, corporate, and research activities through EVA, an AI-powered Teaching Assistant designed to extend faculty expertise, personalize learner support, and scale institutional knowledge.

From degree programs and executive education to corporate learning and education research, EVA creates new ways for institutions to support learners, generate insight, and turn academic content into an interactive, always-available learning experience.

Across the program portfolio

EVA adapts across program formats to scale faculty support and extend learning beyond the classroom.

Faculty and institutional knowledge

EVA turns faculty and institutional knowledge into interactive, scalable learning experiences.

Research in education, leadership, and business

EVA turns learning interactions into research data for education, leadership, and human–AI collaboration.

Use Cases

Across the program portfolio

For large cohorts (MBA, Master in Management, MSc), EVA provides 365-day office hours: assessment preparation, concept review, Socratic questioning, and progress tracking against weekly learning objectives — with faculty dashboards surfacing where the cohort struggles, at a scale where human office hours cannot follow.

Participants arrive with heterogeneous backgrounds. EVA can level prerequisites before day one — finance fundamentals, strategy vocabulary, case-method preparation — so precious classroom days start from a common baseline, and then consolidate learning in the weeks after the program.

When a leadership team attends a custom program, EVA can carry the validated program content to the wider organization — hundreds or thousands of employees conversing with the same body of knowledge their leaders studied, extending the school’s impact without diluting faculty time or brand.

Today, learning access ends when a program ends. EVA can remain available to participants six months or six years later — an alumnus or corporate learner facing a real decision can call the assistant of the program they attended and reconnect with its frameworks, precisely when the professor is unavailable or on sabbatical.

In asynchronous and hybrid formats, EVA is the constant thread between live sessions: answering questions the moment they arise, keeping momentum between modules, and reducing the isolation that drives online attrition.

Capture a professor’s course corpus, cases, articles, and teaching style into a knowledge base, and give learners a conversational assistant that extends that professor’s presence — across sections, campuses, and time zones. The professor’s expertise scales; the brand and quality stay intact.

Beyond courses: research collections, thought-leadership archives, or an institute’s body of publications can become an interactive environment — knowledge that participants, alumni, and partners can question rather than merely read.

Use Cases

Faculty and institutional knowledge

Use Cases

Research in education, leadership, and business

Every conversation with EVA is captured: thousands of authentic learner questions, reformulations, hesitations, follow-ups, session durations, and topic paths across a full course arc. Anonymized and consent-based, this is a structured research corpus that no classroom observation or survey could produce. Researchers can mine it to formulate research questions, test hypotheses on how adults learn with AI, and predict confusion or dropout risk — a continuous data source able to feed doctoral dissertations and publications semester after semester.

EVA does not need a course to serve research. A laboratory or doctoral team can deploy a dedicated EVA on a knowledge base of its choosing and run controlled experiments: Socratic questioning versus direct explanation, voice versus text, 2D versus 3D embodiment, different scaffolding strategies — with every variable configurable and every interaction logged. The platform becomes an experimental apparatus for education science, ideal for funded projects and doctoral work.

How do executives build trust with an AI counterpart? What relational design sustains motivation over a full program? EVA’s multi-interface design (voice, 2D, 3D, VR) offers a controlled environment for research on embodied presence, trust calibration, and human–AI collaboration in leadership development — questions at the frontier of both management research and AI research.

In a custom corporate program, and with the corporation’s agreement, the research team can analyze how employees actually use EVA: which topics they return to, where they struggle, what concerns and questions they raise that the formal curriculum never anticipated. The school then delivers evidence-based conclusions to the corporation — how EVA is used, the key concerns and skill gaps of its employees, and which future educational programs would be worth creating based on the employees’ own inputs. A single program becomes a diagnostic of the organization’s learning needs — and the pipeline for the next engagement.

A research group’s corpus — papers, working documents, case libraries, interview transcripts — becomes a private, citable conversational assistant. Faculty and doctoral students can interrogate their own body of work, accelerate literature synthesis, and onboard new researchers into a stream of research in days rather than months.