Work
Each of these is real work on real student systems. Two come from my full-time architect role, three from consulting engagements, and one began in the full-time role and grew in a consulting engagement. Names, screens and figures drawn from student records are left out on purpose; the problem, the design and the reasoning are all here.
Full-time architect role
A check-only report is read and approved first; then one command corrects financial aid records for a whole student population, can be run again safely, and leaves before-and-after evidence for every student.
Full-time architect role
A second AI agent independently re-checks AI-assisted migration work against the source systems and writes the audit trail, in place of spot checks by hand.
Consulting engagement
A timed job sometimes lost a race with the email scheduler, so students got an invitation with no link. Now the link is saved as soon as the record is.
Consulting engagement
A new integration layer on Azure replaced batch jobs, so a change in the student system reaches the other systems as it happens.
Full-time architect role, then a consulting engagement
A self-service report that lists, classifies and explains every production workflow in the student system, so nobody has to remember what is running.
Consulting engagement
Student documents moved on deadline with zero defects, because every record was verified before sign-off, not a sample.
I can walk through any of these on a call, including what I would do differently now, within what each organization allows.
Tell me what you run and where it hurts. The first call is 30 minutes, free, and you will leave with a clear next step whether or not we work together.