Ami Tuition
Tracks tuition receivables by student and class, sends reminders on schedule and forecasts cash flow across the intake season.
An education provider's cash flow follows the intake season, not an even monthly line. The agent tracks tuition receivables down to the individual student and forecasts cash on the rhythm the term actually has.
Job in hand — here is what the agent does
You handed it over once, above. From there the agent watches the data, runs when a business event happens, does the part you delegated and brings the rest back with its evidence. This is what it has done — and what is still waiting for you.
Done by the agent — nobody had to ask
- Reviewed tuition receivables class by class
- Applied the waiver policy per student
- Matched receipts to the period's schedule
- Flagged students late two periods running
- Drafted reminders by how late they are
Waiting on you
- One class with many deferral requestsfor you to review
- Waiver request outside the policyfor you to approve
Which classes still have tuition outstanding?
Three classes still have tuition outstanding, and one of them has several deferral requests.
Send reminders for the classes now due and record who has promised to pay.
Sent reminders by class and recorded each payment promise on the student's file.
The waiver request outside the policy is outside what you delegated — the file is drafted, waiting for your approval.
Will next period's cash flow fall short?
If the promises hold, next period still covers. I separated out the part that depends on the class asking to defer so you can see the swing.
Audit log · Ami Tuition · delegated by Tuition Accountant
The figures in this example are illustrative. In production the agent creates no numbers — it reads and reorders what your system already holds.
- Reads inside your permissions
- Acts only where you delegated
- Every action leaves a trace
Where you meet the agent
- Right inside the module screenSuggestions appear beside the document you already have open, not in a separate app.
- Ask Ami in plain wordsType or speak, in the same language you already use across the system.
- Runs by itself when there is workFires on a business event and brings the work to you, instead of waiting for you to remember.
Where the agent gets its data
The agent has no data store of its own, syncs nothing outward and keeps no copy. It reads directly on the permissioned data layer the module already runs on — within the exact rights of whoever called it.
- Data leaves the company
- Permissions get rebuilt a second time — and can drift
- Figures lag behind the sync cycle
- Tuition receivables by student and class
- Collection schedule and discount policy
- Payment history from earlier terms
And where does the AI model run?
The diagram above is about where the DATA sits; this is about where the MODEL runs — two different things. Routing follows data sensitivity automatically; you do not pick per task.
See the hybrid AI modelAgents in the same group
Other agents on the same data layer — usually switched on together.
- Ami DocumentsReads incoming invoices and documents, runs the three-way PO–receipt–invoice match and proposes the journal entry.
- Ami ReceivablesTracks receivables and payables, ranks collection risk and drafts reminders based on payment history.
- Ami CloseRuns the period-close checklist and flags unusual entries before the books close, not after.
- Ami ContractsReviews risky clauses, compares them with your standard template and flags the differences before signature.
- Ami ControlReviews off-budget spend, checks approval limits and assembles the audit file as it goes.
What this agent does not do
- It grants itself nothing.The agent pre-fills forms and can write to the system — but only within what you delegated; beyond that it stops at a suggestion.
- There is no data shortcut.The agent sees exactly what the calling account may see — no private connection of its own.
- It never acts anonymously.The log records which agent acted, under whose delegation and who approved — accountability stays with people.
How to switch this agent on
- Your company needs to be running the Finance & Accounting module — the agent reads that module's own data.
- No separate permission setup: the agent's rights are the rights of whoever calls it.
- Switched on and tuned during rollout, following your existing approval flow.
The exact scope and the order modules are switched on get settled in the demo, against your current setup.
Questions people usually ask
Can the agent change data on its own initiative?+
Not on its own initiative — but it does more than read. The agent pre-fills forms and writes to the system within exactly the scope you delegated to it; anything beyond that stops at a suggestion and waits for someone with authority. Either route, every action lands in the audit log.
What if the agent suggests the wrong thing?+
Every suggestion carries its evidence: which document, which line, and why. The reviewer edits or rejects it before anything is written — and both of those actions leave an audit trail too.
How is this different from a chatbot?+
A chatbot only answers when asked. An agent also takes a job you hand over once, then watches the data on its own, runs when a business event fires, and reports back — that is the half a chatbot never does.
How is this different from an automation flow?+
An automation flow runs the steps it was configured with. An agent reads business data, ranks it by situation and picks what needs doing — within exactly the scope you delegated, and anything needing approval still goes through your existing approver.
Does data leave the company?+
Tasks that touch sensitive data run on Internal AI placed inside your own infrastructure; only non-sensitive tasks use an external model. Routing follows the sensitivity of the data automatically.
See the agents run on your own data.
Book a demo scoped to the modules and industry you actually need.