← Services Services

AI Suite for Education

The operational starter pack for institutions that have decided AI adoption is real work, not a slide deck. Productized tooling, faculty training, and ethics scaffolding — configured to your context, deployed in weeks, owned by you.

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.

Who it's for

  • Institutions that have moved past pilot enthusiasm and need consistent, opinionated tooling across departments and campuses.
  • K-12 districts and Higher Ed schools where faculty are already using AI informally and leadership needs to bring that practice inside a sanctioned, observable perimeter.
  • Provosts, deans, CTOs, and directors of teaching and learning who want to standardize how staff prompt, evaluate, and document AI use without writing the playbook from scratch.
  • Professional development teams and EdTech directors responsible for rolling out AI literacy to hundreds of staff in a defensible, sustainable way.
  • Institutions that have an AI policy on paper and need the operational layer — prompts, training, scenarios — that makes the policy actually mean something day to day.

What's included

Institution-specific prompt library

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.

AI Readiness Assessment tooling

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.

Faculty prompt-engineering modules

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.

Custom Ethics Simulator scenarios

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.

White-label or co-branded deployment

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.

Optional LMS and SSO integrations

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.

What's not included

Honest about scope. Things you might assume are included but aren't:

  • Custom LLM training, fine-tuning, or model hosting. We integrate with the major frontier providers; if you need a private fine-tuned model, that is a different vendor and a different conversation.
  • Procurement of seat licenses for ChatGPT, Claude, Gemini, or other commercial LLMs. We help you choose, but the licensing relationship and spend sit with you.
  • Ongoing 24/7 support or managed services after handover. Standard engagement includes a defined support window; if you want us to operate the Suite long-term, that is a separate retainer.

How it works

  1. 1

    Scoping and context capture · 1-2 weeks

    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.

  2. 2

    Configuration and content tailoring · 3-5 weeks

    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.

  3. 3

    Integration and branding · 1-2 weeks

    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.

  4. 4

    Faculty pilot and feedback loop · 4-6 weeks

    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.

  5. 5

    Rollout and handover · 2-3 weeks

    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.

Sample deliverables

  • Structured prompt library (JSON + browsable web interface) with 80-200 prompts tagged by subject, sector, and use case
  • AI Readiness Assessment instrument with scoring logic, dashboard view, and re-run cadence documentation
  • Faculty prompt-engineering curriculum: slide decks, facilitator notes, participant handouts, and short-form video walkthroughs
  • Custom Ethics Simulator scenario pack mapped to your academic integrity and acceptable-use policies
  • Branded deployment of the Suite on your domain or ours, with LMS and SSO integration where supported
  • Operating handbook covering content governance, update cadence, and roles for maintaining the Suite after handover

Engagement pattern

A regional Higher Ed institution moving from policy to practice

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.'

Questions you might have

How is this different from just buying Anthropic, OpenAI, and Google licenses?

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.

Can we integrate with our LMS and SSO?

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.

What is the realistic rollout timeline?

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.

Who owns the prompt library and other assets after handover?

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.

Do you support languages other than English?

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.

Investment range

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.

Dr. Saya Nakamura-Ellis
Dr. Saya Nakamura-EllisThe Classicist

The value of purpose-built educational AI tools is significant. Generic tools require extensive adaptation — purpose-built tools work out of the box.

Prof. Marcus Okonkwo-Brandt
Prof. Marcus Okonkwo-BrandtThe Experientialist

The built-in privacy safeguards and content guardrails are essential. Any AI tool in education must protect students by design, not as an afterthought.

Zara Chen-Rodriguez
Zara Chen-RodriguezThe Futurist

This is what I've been asking for: AI tools that understand education. No more workaround prompts — just tools that get what teachers need.

Carlos Miranda Levy
Carlos Miranda LevyThe Curator

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 training designed for educators, by educators. From awareness to mastery.