Generic chat tools get a faculty member to curiosity. They do not get a department to consistency. The AI Suite for Education bundles the prompt libraries, readiness diagnostics, training modules, and ethics scenarios an institution needs to move from individual experimentation to coordinated practice. You leave the engagement with assets your team can run, not a dependency on ours.
The AI engine that generates complete, methodology-grounded learning experiences — Learning Programs, Learning Experiences, Learning Units, and ready-to-use content like case studies, quizzes, and scenarios. The same Designer that built the Smoother Experiences catalog, configured for your institution and its subjects.
Your organization's staff get access to Smoother Experiences — our online Learning Campus with hundreds of ready-to-run programs on AI, available today at experiences.ailearning.global. Onboarding, upskilling, and continuous learning, live from day one.
A learning platform built on our Smoother Experiences methodology — comprehensive, evidence-based, and academically sound. Pre-populated with hundreds of programs for your staff, educators, and young and adult learners, and able to generate complete programs, experiences, content, activities, and evaluations from scratch in 19 formats — with dozens of content-unit and activity types across text, audio, visual, multimedia, and interactive media, AI-supported and always following your academic model, supervision, and standards. A live sample custom campus is online at lawra.academy.
A curated, sector-tagged library of prompts for lesson planning, assessment, feedback, communications, and administrative tasks — tailored to your subjects, grade bands or programs, and policy guardrails. Delivered as structured JSON plus a browsable interface your staff can search and copy from.
Self-monitoring instruments your leadership can re-run each term to track maturity across infrastructure, skills, governance, and culture. Includes the assessment items, scoring logic, and a dashboard view so progress is visible without consultants in the loop.
Eight to twelve short, role-specific training modules that take a faculty member from 'I have used ChatGPT once' to 'I can design, critique, and document a prompt for a real teaching task.' Modules ship with facilitator notes so your PD team can deliver them in-house.
Scenario decks adapted to your institution's policies, student population, and academic integrity standards. Faculty work through realistic decision points — student AI use, biased outputs, FERPA-adjacent situations — and the scenarios resolve to your actual policy language, not a generic framework.
The Suite ships under your brand or co-branded with ailearning.global, hosted on infrastructure you control or on ours. Your URL, your visual language, your terminology where it matters.
Where your stack supports it, we wire the Suite into your LMS (Canvas, Moodle, D2L, Blackboard) and SSO provider so staff sign in once and prompt assets surface in the contexts they already work in.
Beyond integrating the major frontier providers, we can train, fine-tune, and host a private model on your institution's own data — with the privacy, governance, and control a dedicated model makes possible.
We help you choose the right commercial LLMs — ChatGPT, Claude, Gemini — and can procure and provision the seat licenses on your behalf, so your staff are set up without you managing the licensing relationship yourself.
Beyond the initial handover, we can operate and maintain the Suite for you — updates, monitoring, and a support window sized to your institution — so it keeps working without pulling on your team.
How your institution's and your learners' data is handled.
No data you or your learners provide — and certainly no personal or private information — is ever used to train our models, or any AI provider's models.
Every program, experience, and asset generated for you is yours to use, adapt, and keep. You leave owning the assets — not renting access.
The Suite and its data can run on infrastructure you control or on ours, configured to your institution's policies and terminology.
Generation uses frontier models from Google (Gemini), OpenAI, and Anthropic (Claude); on paid plans you choose which. No hidden model, no undisclosed data flows.
We meet your academic, technology, and policy leads, review existing AI policies and tool inventories, and agree on the sectors, subjects, and use cases the Suite must cover at launch. Output is a written scope your stakeholders sign off on.
We adapt the prompt library, assessment instruments, training modules, and ethics scenarios to your institution — your subjects, your policies, your terminology. Your subject-matter leads review draft assets in batches; we revise.
We deploy the Suite to your infrastructure or ours, apply your brand, and wire up the LMS and SSO connections your environment supports. Your IT team is in the loop from day one — no surprise handovers.
A pilot cohort of 20-40 faculty runs the Suite for a defined period. We collect structured feedback, revise the prompt library and modules based on what actually worked, and harden the assets before institution-wide rollout.
Institution-wide launch with facilitator training for your PD team, documented operating procedures, and a defined support window. You leave owning the assets and the capability to maintain them.
A mid-sized Higher Ed institution had an AI policy approved by its academic council but no operational layer underneath it. Over a one-semester engagement, we configured the Suite to its three largest faculties, trained a cohort of department-level champions, and handed over a prompt library, assessment instrument, and ethics scenario pack the PD team now updates each term. The mood shift the provost reported was not 'we have more tools' — it was 'our conversations about AI are finally about teaching, not about whether we are allowed to talk about it.'
Licenses give your staff access to a chat box. They do not give your institution a shared prompt practice, a defensible training curriculum, scenario-based ethics work, or an assessment instrument you can re-run each term. The Suite is the layer on top of those licenses — the part that turns individual access into institutional capability. You still need the licenses; we help you use them well.
Yes, for the common stacks — Canvas, Moodle, D2L, Blackboard for LMS, and the standard SAML or OIDC providers for SSO. We confirm the specific integrations in scoping; if your stack is unusual we will tell you upfront what is and is not feasible, rather than promising universal coverage and failing on delivery.
From kickoff to institution-wide launch, three to four months is typical. You can shorten that by narrowing initial scope (one faculty, one campus) or extend it if your governance cycle requires multiple committee approvals. Anyone promising a six-week institutional rollout is either selling you a thinner product or planning to do work after launch that should have happened before.
You do. The prompts, training materials, scenarios, and assessment instruments are licensed to your institution to use, adapt, and maintain. We retain the right to reuse the underlying frameworks and any non-institution-specific content in our base product, but the tailored assets are yours.
Spanish and French are supported in the base product and can be delivered as primary languages of the Suite. Other languages can be scoped with translation partners; we are honest about the additional time and review effort that requires, and we will not ship a language we cannot QA properly.
Typical engagements start in the low five figures (USD) for a single-faculty or single-campus deployment and scale into the mid five figures for multi-faculty or district-wide rollouts. Final scope is set during the scoping phase based on the number of sectors covered, training depth, and integration complexity — we do not quote before we understand what you actually need.
The value of purpose-built educational AI tools is significant. Generic tools require extensive adaptation — purpose-built tools work out of the box.
The built-in privacy safeguards and content guardrails are essential. Any AI tool in education must protect students by design, not as an afterthought.
This is what I've been asking for: AI tools that understand education. No more workaround prompts — just tools that get what teachers need.
Purpose-built beats general-purpose every time. The same principle that drives CEMI.ai's multi-industry approach applies here: deep domain expertise creates tools that generic platforms simply cannot match.
Comprehensive AI learning designed for educators, by educators. From awareness to mastery.
