Stephanie Clifton · The AI Elective

Designing practical AI adoption for education.

I explore how Microsoft AI technologies could help schools and trusts reduce workload, improve decision-making and build sustainable AI capability. The AI Elective documents my consultancy-style proof-of-concept solutions, adoption frameworks and learning journey.

Proof-of-concept solution designResponsible adoption thinkingHonest learning in public
AI hub connecting education services

What you will find here

A portfolio of thinking, design and practical exploration

The work is deliberately transparent about its stage: these are independently developed prototypes and implementation concepts, not claims of live organisational deployment.

01

Proof-of-concept solutions

Real education challenges translated into clear, consultancy-style solution designs.

02

Microsoft architecture

Thoughtful use of Copilot, Copilot Studio, Power Platform and connected services.

03

Adoption frameworks

Discovery, prioritisation, governance, piloting, measurement and scaling.

04

Learning in public

Honest reflections on decisions, mistakes, certifications and evolving practice.

Powered by Microsoft

An integrated AI and automation architecture

Familiar Microsoft services working together as one secure, governed ecosystem rather than a disconnected collection of tools.

Productivity foundation

Microsoft 365
Dataverse

AI and agent layer

Microsoft Copilot
Copilot Studio
Azure AI Foundry

Action, apps and insight

Power Automate
Power Apps
Power BI
Microsoft Fabric

Security & compliance

Enterprise controls, privacy and governance.

Human oversight

People remain accountable for important decisions.

Responsible AI

Transparent, inclusive and proportionate by design.

Measurable impact

Every concept is linked to clearly defined expected outcomes.

Designed around outcomes

AI that earns its place

01

Time Saved

Creating organisational capacity through intelligent automation of repetitive, low-value work.

02

Measurable Value

Every concept begins with a business problem and defines the expected outcomes, implementation approach and measures that would be used to evaluate impact.

03

Responsible AI

Built with governance, transparency, data protection and meaningful human oversight from the outset.

From the Staffroom

A learning journal in progress

The latest reflections from the journey into Microsoft's AI ecosystem. This section updates automatically whenever a new Staffroom entry is added.

Enter the Staffroom

Musings from the learning journey.

Education AI Solution Library

Practical concepts for every part of school and trust life

A collection of independently developed Microsoft Power Platform concepts organised by operational need. Every solution is presented at the same level, with transparent status, governance, architecture and projected impact.

New to AI adoption?

Start here.

Explore the library by the scale and complexity of the change.

Proof of ConceptEarly-stage solution concept

Central Services

Marketing & Brand Management Agent

Create consistent school communications while protecting brand quality and governance.

1Brief2Create3Review4Publish
Why I built this

Trust marketing teams need to balance local voice, speed and consistency. I built this to explore how schools could create content more confidently while central teams retain clear brand and publication oversight.

Microsoft CopilotPower Automate
Common questions
Can the agent publish content automatically?

No. It can structure briefs and create draft content, but named school and central reviewers retain approval and publication control.

Is a human still involved?

Yes. Local context, accessibility, brand approval and final publication all remain under human oversight.

What Microsoft tools does this use?

Microsoft Copilot, Power Automate, Microsoft 365 and an approved content or asset store such as SharePoint.

How does the agent keep content consistent with an organisation’s brand?

It works from approved brand guidance, templates and reusable assets, with human reviewers checking local context, accessibility and brand alignment before publication.

What licences might be required?

This depends on the organisation’s Microsoft estate and chosen connectors. Licensing would be confirmed during discovery.

Working PrototypeFunctioning prototype available

School Admin

AI Enquiries Email Agent

Reduce repetitive enquiries while keeping every response under human oversight.

1Receive2Classify3Draft4Approve
Why I built this

School teams lose valuable time answering recurring questions. I built this to test whether AI could reduce repetitive drafting while ensuring a person remains responsible for every response.

Copilot StudioPower Automate
Common questions
Can the AI send emails automatically?

No. It can classify an enquiry and prepare a draft, but every response is held for human review and approval before anything is sent.

Is a human still involved?

Yes. Every draft is held for review and approval by a named colleague before sending.

What Microsoft tools does this use?

Copilot Studio, Power Automate, Microsoft 365 and, where appropriate, Dataverse or SharePoint for approved knowledge.

What happens when the agent can’t answer an enquiry?

It should stop rather than guess. Unsupported, sensitive or unusual enquiries are escalated to a named colleague so a person can review the context and respond appropriately.

What licences might be required?

Licensing depends on message volumes, connectors and the existing Microsoft environment and would be confirmed during discovery.

Working PrototypeFunctioning prototype available

School Admin

Admissions & Open Evening Assistant

Provide instant answers to prospective families while reducing administrative workload.

1Ask2Retrieve3Answer4Escalate
Why I built this

Prospective families often need the same information outside normal office hours. I built this to make approved admissions guidance easier to access without removing personalised support for complex questions.

Copilot StudioMicrosoft 365
Common questions
Can the assistant answer every parent question?

No. It is designed for routine questions grounded in approved information. Individual, sensitive or judgement-based enquiries are escalated to a member of staff.

Is a human still involved?

Yes. Staff own the source content, escalation routes and responses to individual cases.

What Microsoft tools does this use?

Copilot Studio, Microsoft 365 and Power Automate, with approved website and document content as knowledge sources.

How does the assistant keep its information accurate and up to date?

Its answers are grounded in approved school content. Named staff would own those knowledge sources and review them when admissions dates, policies, events or other information changes.

What licences might be required?

Requirements vary by channel, user access and knowledge-source design and would be assessed during discovery.

Proof of ConceptEarly-stage solution concept

School Admin

School Trip Agent

Simplify trip administration by bringing information, documents and communications together.

1Propose2Prepare3Track4Approve
Why I built this

Trip administration is spread across forms, emails, payments and checks. I built this to explore how one coordinated workflow could reduce chasing and make readiness easier to see.

Power AutomateDataverse
Common questions
Can the agent make decisions about whether a trip is safe?

No. It can organise information and highlight missing items, but authorised staff retain all risk, safeguarding and approval decisions.

Is a human still involved?

Yes. Staff review medical, safeguarding, payment and consent information and make the final readiness judgement.

What Microsoft tools does this use?

Power Automate, Dataverse and Microsoft 365, with Power Apps potentially used for a structured trip interface.

How could this fit into an existing trip approval process?

It could sit around the existing process by bringing forms, consent, payments and required checks into a clearer workflow, while keeping the organisation’s existing approval roles and decision points intact.

What licences might be required?

Licensing depends on Dataverse, Power Apps and connector choices and would be confirmed against the organisation’s estate.

Proof of ConceptEarly-stage solution concept

Leadership

Executive Briefing Agent

Turn meetings, reports and key updates into concise leadership briefings in minutes.

1Collect2Summarise3Review4Decide
Why I built this

Leaders receive more information than they can reasonably absorb. I built this to explore how approved sources could be turned into concise, traceable briefings without replacing leadership judgement.

Microsoft CopilotPower BI
Common questions
Does the AI make decisions for senior leaders?

No. It organises and summarises approved information; leaders remain accountable for interpretation, challenge and decisions.

Is a human still involved?

Yes. A leader reviews sources, checks emphasis and approves the final briefing.

What Microsoft tools does this use?

Microsoft Copilot, Microsoft 365, Power BI and Power Automate, depending on the source systems.

What information could the agent use to create a briefing?

Depending on permissions, it could draw from approved reports, meeting papers, Microsoft 365 documents, Power BI outputs and agreed KPI sources, with links back to the underlying evidence.

What licences might be required?

This depends on Copilot access, Power BI capacity and data-source connectors and would be confirmed in discovery.

Proof of ConceptEarly-stage solution concept

Leadership

Meeting Action Tracker

Capture decisions automatically and keep actions visible, owned and on track.

1Record2Extract3Assign4Track
Why I built this

Important actions can disappear into minutes and inboxes. I built this to make ownership, deadlines and progress visible after the meeting ends.

Power AutomateMicrosoft 365
Common questions
Can the AI assign actions automatically?

No. It proposes actions from approved meeting records, but the meeting owner confirms the wording, owner and deadline before anything is assigned.

Is a human still involved?

Yes. The chair or meeting owner approves actions before they are created or assigned.

What Microsoft tools does this use?

Power Automate, Microsoft 365, Dataverse and optionally Power BI for progress reporting.

How are actions, owners and deadlines captured after a meeting?

The workflow can extract proposed actions from an approved meeting record, present them to the chair for confirmation and then create tracked tasks with named owners, deadlines and proportionate reminders.

What licences might be required?

Requirements depend on where minutes, tasks and reporting are stored and would be confirmed during discovery.

Proof of ConceptEarly-stage solution concept

Teaching & Learning

Teaching & Learning Assistant

Give teachers faster access to trusted guidance, resources and design principles, rooted in your organisation’s resources.

1Brief2Retrieve3Refine4Approve
Why I built this

Teachers need quick access to trusted organisational guidance without losing professional autonomy. I built this to create useful starting points grounded in an organisation’s own resources and design principles.

Microsoft CopilotCopilot Studio
Common questions
Does the assistant replace professional teacher judgement?

No. It provides editable starting points grounded in approved resources; teachers decide what is appropriate for their pupils and retain professional control.

Is a human still involved?

Yes. Teachers review, adapt and approve every resource before classroom use.

What Microsoft tools does this use?

Microsoft Copilot, Copilot Studio and Microsoft 365, connected to approved curriculum and teaching resources.

How can the assistant adapt its guidance to a school’s teaching approach?

It can be grounded in the organisation’s own curriculum, pedagogy, assessment and teaching resources so suggestions reflect agreed principles rather than generic advice.

What licences might be required?

Licensing depends on Copilot access, knowledge sources and user numbers and would be confirmed during discovery.

Proof of ConceptEarly-stage solution concept

Pastoral & Safeguarding

Attendance Analysis Assistant

Identify attendance patterns earlier so staff can intervene with greater confidence and impact.

1Import2Analyse3Prioritise4Review
Why I built this

Attendance information can show risk before it becomes obvious, but patterns are easy to miss. I built this to surface meaningful signals earlier while keeping pastoral interpretation with staff.

Power BIPower Automate
Common questions
Does the AI decide which pupils need intervention?

No. It surfaces patterns and priorities; attendance and pastoral professionals interpret context and decide what action is appropriate.

Is a human still involved?

Yes. Staff validate data, consider individual circumstances and own every intervention decision.

What Microsoft tools does this use?

Power BI, Power Automate, Dataverse and Microsoft 365, connected only to appropriately governed attendance data.

What attendance information could the assistant analyse?

With appropriate permissions and governance, it could analyse agreed attendance measures, changes over time, persistent absence indicators and other approved contextual signals to help staff identify cases for review.

What licences might be required?

Requirements depend on data architecture, Power BI capacity and secure connector access and would be confirmed during discovery.

Proof of ConceptEarly-stage solution concept

SEND & Student Support

EHCP Assistant

Update staff and help them navigate EHCP documentation more efficiently while supporting consistent practice.

1Secure2Extract3Review4Support
Why I built this

EHCPs contain vital information but can be difficult for busy staff to navigate consistently. I built this to help authorised colleagues find relevant provision more quickly while preserving source context and professional judgement.

Copilot StudioDataverse
Common questions
Can the AI make decisions about SEND provision?

No. It can help authorised staff navigate and summarise source information, but statutory interpretation, provision decisions and professional judgement remain with SEND professionals.

Is a human still involved?

Yes. SENCOs and authorised colleagues review context, correct extraction and decide how information should inform practice.

What Microsoft tools does this use?

Copilot Studio, Dataverse, Power Automate and Microsoft 365 within a tightly controlled access model.

How would sensitive pupil information be protected?

The design would require secure storage, least-privilege access, approved Microsoft services, clear auditability and strict control over who can access pupil information and generated outputs.

What licences might be required?

Licensing depends on secure storage, Dataverse capacity, connectors and Copilot Studio use and would be confirmed during discovery.

My AI adoption approach

A repeatable path from problem to responsible scale

This is the process I would use to turn an opportunity into a governed pilot and, where the evidence supports it, a sustainable implementation.

01

Discover

Understand users, workflows and friction.

02

Prioritise

Balance value, readiness and risk.

03

Design

Shape the human-led solution and architecture.

04

Govern

Set controls, ownership and escalation.

05

Pilot

Test safely with a defined user group.

06

Measure

Evaluate quality, value and experience.

07

Scale

Expand only where evidence supports it.

Why I built The AI Elective

I chose to design the work before I had permission to deploy it.

I created The AI Elective to give myself a dedicated space to explore what effective AI adoption could look like across education.

Using realistic educational scenarios and consultancy-style methodologies, I've developed a portfolio of proof-of-concept solutions that demonstrate how Microsoft AI technologies could support schools and trusts. Each concept explores discovery, process redesign, solution architecture, governance and implementation planning, while remaining transparent about its current stage of development.

This portfolio reflects how I approach AI adoption: understanding the problem first, designing with people and process in mind, considering responsible governance from the outset, and focusing on measurable outcomes. While these concepts have not yet been deployed in a live organisation, they represent the way I think about solving real-world challenges and the type of work I hope to deliver at scale.

01

Start with the workflow

Understand the people, friction, risks and desired outcome before selecting a tool.

02

Keep humans accountable

AI supports professional judgement; it does not replace safeguarding, governance or decision ownership.

03

Measure the difference

Define pilot hypotheses around time, quality, capacity, consistency, experience and organisational value.

The AI Elective

Practical solutions. Responsible adoption. More time for education.

Explore the portfolio