The reliable spine
The non-AI spine is the source-linked workflow: clean records, rules, calculations, integrations, exception queues, approvals and reporting for Approval workflows for concessions, exceptions and waivers.
Education & EdTech
Approval workflows for concessions, exceptions and waivers
Fee concessions, scholarship grants, admission exceptions, waivers and refunds run on phone calls, WhatsApp and "ask the principal". They happen with no record of who said yes or why, they are inconsistent because there is no rule for who can approve what, and the consequential ones, a large concession, an out-of-policy admission, a refund, slip through informally and turn into a dispute or a loss later.
Who has it
Colleges and universities, where fee concessions, scholarship grants and admission exceptions run at volume, and Schools and K-12 chains and Coaching and test-prep institutes for fee waivers and refunds. This is the approval-gated discipline the firm applies to every write, put to work.
What we build
Defined approval rules (who signs what, at which limit), the request routed to the right approver with the context attached (the student's fee position, the policy, the precedent), an escalation if it sits too long, and a full record of every decision. The decision itself is always the named person's.
What is automated, where AI helps, who signs off
Automation for the routine. A person on every decision that matters.
Where AI helps
AI is limited to bounded reading, extraction, matching, clustering or drafting from the firm's own data for Approval workflows for concessions, exceptions and waivers; it never owns the number, the approval, the promise or the decision.
Who signs off
A named person signs off anything touching money, stock, a customer promise, a regulated filing, a payment, a price, a credit decision or a people decision.
What changes day to day
Every concession, exception and refund has a rule, an approver and a record; the owner stops being a bottleneck on the routine and stops being blind on the exceptional; "who approved this and why" always has an answer.
Illustrative outcome
Off-policy concessions and disputed refunds sharply reduced; a clean record behind every exception.
Illustrative; final numbers come from your own data.
Path to the build
How this one gets built.
Book a free 60-minute call, then a free Blueprint on the institute's own records. Deep-dive and build, followed by run and govern so the workflow keeps paying back.
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