Industry agent in preparation: Education and training
Run the school on governed AI.MeshLearn is ASG™, the Arrochar Superintelligence Guardrails, packaged for education and training.
The suite packaged for the operations of a school, a tutoring network, a training organisation or a university: enrolments and student records, timetables, fees and funding claims, teacher and tutor credentials, child safety and student wellbeing incidents, franchise and centre agreements, complaints and the reporting an education regulator and a funder expect, as governed AI agents that never assess a student or take a child safety decision.
For schools and school systems, tutoring and early-learning networks, vocational and higher education providers, franchised education brands and the education regulators they report to.
What exists today, and what does not
This package is named and its scope is written. The service catalogue, the service pages, the agents, the gates and the evidence records are not yet built, and nothing runs for a customer. The rails it will run on, AIG Sentinel and Meshbone, exist today and are the same rails MeshGov runs on. When the first service is built we will say which one, and until then the status on this page stays as it is.
What the MeshLearn catalogue is being written to cover
The operations of education and training, as governed AI services. Each line below will become one or more services in the catalogue, with its own page naming the agents, the decisions that stay with a person, the records it keeps and the standards it is mapped to. Until then this is scope, not a product.
- Enquiries, enrolments and student records: the application, the offer, the record and the consents behind it
- Timetables, rooms and sessions: the schedule prepared by agents and the exception decided by a person
- Fees, funding and claims: invoices, payment plans, hardship arrangements and the claims lodged with a funder, with every write-off approved under a delegation
- Teacher, tutor and staff credentials: registration, working-with-children and background checks, qualifications and their expiry, with no one rostered without them
- Child safety, wellbeing and critical incidents: logged, escalated and reported within the time each jurisdiction's law and standards require, with every decision taken by a person
- Franchise, centre and campus agreements: obligations, fees, quality visits and the record of disclosure
- Complaints, appeals and parent correspondence: logged, investigated and answered within the provider's published time limits
- Reporting to the education regulator, the funder, the franchisees and the board, from one evidence chain
The baseline we expect to align to
We expect to align student and course data to the 1EdTech standards (OneRoster and Learning Tools Interoperability) and, where a school system uses it, the Systems Interoperability Framework, and to take each jurisdiction's education, child safety, working-with-children, vocational and higher education standards, student privacy law and franchising code as the policy source. Arrochar Labs is not a 1EdTech or Access 4 Learning member, and neither has reviewed anything here. MeshLearn is an operations package. It will not teach, assess a student, decide a grade or take a child safety decision, and no service in the catalogue will be written to. The choice of baseline is not final and will be stated on the service pages when the catalogue is published.
The same way as MeshGov and MeshFin
Every industry agent follows one formula. AIG Sentinel defines the policy, Meshbone enforces it at run time, Nanolitte carries the controls into reusable service templates, Databallast controls what data the agents may access, agentVIKING™ guards every agent, and the evidence chain records what happened. The catalogue for this industry will name its services, the decisions that stay with a person, and the standards it is mapped to, service by service, exactly as the MeshFin catalogue does for banking. Once the catalogue is published, MeshAgentDesigner shapes the pack to one organisation: by watching the work, by reading a drawing, or by configuration.
How it fits together
A complete suite of AI governance agents. An architecture that makes them accountable.
Each part of ASG™ does one job, in order, and hands the next part something it can check. That is the difference between building AI agents and running them so an auditor, a regulator or a minister can see what happened.
Before the first build, Orbit Roadmaps finds where AI creates value and profiles the risk.
After it, Execdive turns what the chain recorded into plain-language insight for executives.
Policy, enforcement, templates, data, controls, evidence. Then services.
This describes the architecture, not what every deployment runs today: 5 of the 27 agentVIKING™ controls are still in development.
- AIG Sentineldefines policy
- Meshboneenforces policy at run time
- Nanolittecarries the controls into reusable service templates
- Databallastcontrols what data the agent may access
- agentVIKING™is the control set across every agentAcross every step
- Evidence chainrecords what happened
- MeshGovuses the whole thing for government services
- MeshFinuses the whole thing for banking and financial services
The other industry packages
Shape the catalogue with us
If you run operations in this industry and want to see your own services on the list, talk to us. Early conversations decide which services are built first.
Talk to us about MeshLearn