01
Institutional questions
Explore the kinds of questions the available assistant supports.
Practical AI for higher education
An AI assistant with institutional context.
Review available assistant capabilities against the questions your teams handle. Discuss what information it can use and which responses need staff review.
EdicAI / Institutional AssistantPlatform concept
Illustrative overview. Evaluate the actual product, available capabilities, and your required scope with an expert.
The institutional context
Start with the work your institution needs to connect.
An institutional assistant should be evaluated by the information it supports, the questions it can address, and its response boundaries. A walkthrough establishes those limits.
The confirmed AI categories are automation, analytics and insights, and an institutional assistant. Evaluation distinguishes available functionality from planned or institution-specific work.
02
Information context
Discuss sources, access expectations, and configuration for your use case.
03
Human responsibility
Agree on review, escalation, and handling of responses needing verification.
From requirements to evaluation
Follow the work. Evaluate the connections.
Choose questions
Bring representative questions from institutional teams.
Review the assistant
See the supported product interaction.
Examine boundaries
Discuss unsupported questions, access, and review.
Scope adoption
Agree configuration, criteria, training, and separate work.
A practical evaluation scenario
A student-services team evaluating institutional questions
Use fictitious enquiries to evaluate supported answers and identify when a person should take over.
Illustrative evaluation scenario, not a customer case study or a guaranteed product outcome.
What to bring to the conversation
- Representative institutional questions
- Information sources and access expectations
- Intended assistant users
- Review and escalation responsibilities
Questions to consider
Questions about the institutional AI assistant
What should we evaluate in institutional assistant?
Focus the walkthrough on institutional questions, information context, human responsibility. Ask the team to demonstrate the available workflow and distinguish standard capabilities from configuration and custom work.
Can we choose cloud or on-premise deployment?
Both options are available for discussion. Infrastructure, access, hosting location, maintenance responsibilities, and data-handling requirements are assessed with your institution.
How do we agree on implementation and commercial scope?
Start with your workflows, data, integrations, and team readiness. Your proposal defines the software licence and any implementation, training, hosting, support, or custom work that applies.
Make EdicAI relevant to your institutionYour workflows.
Your workflows.
Your platform priorities.
Discuss the departments, modules, deployment options, and services your institution needs. Build a clear scope before making a commitment.
Talk to an expert. Confirm the scope together.