Numbers are never AI-generated
Every number in Insights comes directly from your own data and is computed deterministically. The AI explains what the numbers mean; it never makes them up. You always know exactly where a figure came from.
More than 40% of public-sector treasury teams compile the daily cash position by hand, and only about one in five has true real-time visibility.*
* A recent survey of our audience.
Debt is in one spreadsheet, cash is in four bank portals, investments are in another system. Pulling it into one number takes most of a morning.
When the position is reassembled by hand each cycle, the risks and opportunities inside it surface late — idle cash that could be earning, a callable bond, a payment that landed in the wrong place.
By the time I notice the idle cash or the rate exposure, the window to act on it has usually passed.
The numbers your board and your CFO ask for already exist in your systems. The work is pulling them together fast enough to be useful.
When the manager asks where we stand, I can’t just answer. I have to go build it first.
Top-line KPI cards headline your position every morning: cash on hand, total debt outstanding, investment holdings, and more — each with the context that makes the number mean something. Below them, each domain opens into charts and AI callouts, flagging anomalies, idle cash, and upcoming obligations automatically.
Marty lives inside Insights and speaks treasury — the vocabulary your team already uses. Where the dashboard tells you where you stand, Marty tells you why and what’s next. Ask in plain language and get a sourced, context-rich answer in seconds.
Marty reads bond proceeds, continuing disclosure, LGIP balances, board-approved investment policy, and fund-level cash — because the platform underneath it was built for that work. A general-purpose assistant bolted onto a corporate tool has no idea what any of those are.
Because Monetary manages all three domains in one platform — Debt Management, Cash Management, and Investment Management — the briefing and Marty reason across them. Upcoming debt service flows into the cash forecast; redemptions surface reinvestment options. A point solution can’t connect what it doesn’t hold.
An intelligence layer is only as good as the data beneath it. Insights reads from a system of record built for fund accounting, GASB-aware schedules, trustee statements, and CUSIP-level debt — so the numbers it surfaces are already right before anyone reads them.
Callouts and answers are framed against your own board-approved investment policy and your covenants — reinvestment options come back “within your policy parameters,” not against a corporate norm that doesn’t apply to you.
In a 30-minute demo, we’ll walk through the daily briefing, the AI callouts, and Marty answering questions against data like yours — so you can see exactly how the numbers are derived.