Translating school workflows into technology solutions.

Australian primary school teachers spend upwards of 60 minutes per student, per subject, compiling compliance-grade assessment reports each semester. Existing tools digitise the paperwork but do not reduce the cognitive or mechanical load of cross-referencing evidence against curriculum standards.

The downstream impact is measurable: assessment administration is consistently cited as a leading contributor to unsustainable workload and reduced teacher wellbeing.

The problem is not a lack of tools. It is a misalignment between what assessment tools do and what teachers actually need in the moment.

Through nine years of teaching across Australia, Qatar, and the UK, I saw the same pattern everywhere. Teachers are not struggling with understanding curriculum standards. They are struggling with the manual labour of mapping evidence to those standards under extreme time constraints.

The opportunity is to automate the mechanical layer while keeping the teacher in control of the judgement layer. AI can map a photo of student work to curriculum codes. The teacher reviews, adjusts, and confirms. The report drafts itself.

Éirico guides teachers through a simple workflow. Take a photo of student work. The AI maps it to curriculum outcome codes, identifies learning gaps, and suggests next steps. The teacher reviews the mapping, exercises professional judgement, and saves the analysis. A structured report drafts itself.

This case study models AI as enforced decision support, not autonomous automation. Mechanical work is reduced while professional judgement remains structurally required.

41% of medical referrals never convert because the handoff between GP, specialist, and patient is fragmented across disconnected systems. Patients fall through the cracks between referral and appointment, leading to delayed care, wasted specialist capacity, and frustrated practitioners.

The referral process involves three stakeholders who each operate in different systems with no shared visibility. GPs send referrals and lose track. Specialists receive referrals but can't efficiently communicate availability. Patients receive no proactive coordination.

Built a working coordination system using a Chrome extension, Cursor, Zapier, Twilio, and Google Sheets that connects all three stakeholders in a single workflow. The system captures referral data at the point of creation, automates patient outreach via SMS, and provides real-time visibility to all parties.

Rather than replacing existing clinical systems, Relay layers on top of them — meeting each stakeholder where they already work.

Foundation and early primary teachers tracking structured literacy programs face a manual, paper-heavy monitoring process. Progress against phonics milestones — letter recognition, blending, segmenting — is recorded on printed grids, updated by hand, and stored in folders.

This works until you have 25 students across multiple phonics phases, each progressing at different rates. The result is delayed identification of students falling behind, inconsistent records, and significant preparation time spent on administrative tracking rather than instructional planning.

Letters & Sounds digitises the phonics tracking workflow without overcomplicating it. The interface is designed around how early-years teachers actually work: quick check-ins during small group rotations, progress updates between sessions, and weekly overviews before planning meetings.

The system is structured around phonics phases with gated progression — students advance when mastery criteria are met, not by calendar. Teachers see at a glance which students are on track, which need intervention, and where the class clusters are forming.