Your Treasury Data Can Finally Talk. Meet the Analyst Agent.

It’s Friday at 3:00 PM. The CFO pings you: “Why is Opex up 12% in the EMEA entity vs. last month?”

You know the answer is buried somewhere in the ERP or the bank portals. But to prove it, you have to export a CSV, clean the data, fight with a pivot table, and manually reconcile three different variances.

By the time you have the chart and the explanation, it’s 5:30 PM. You’ve spent your afternoon doing data janitorial work instead of strategic analysis.

This is the "Groundhog Day" of treasury. We hire brilliant finance minds to manage liquidity and risk, then force them to spend 80% of their time functioning as human middleware between systems and spreadsheets.

For decades, treasury technology has been stuck in the System of Record era. Your TMS and ERP are excellent at storing data, but they are passive vaults. They wait for you to extract, clean, and interpret the numbers.

We believe the future of treasury isn't about better dashboards; it's about software that can reason over your data and propose the next best move. So today we’re introducing the Nilus Analyst Agent, an agent designed to bridge the gap between raw data and finished strategy.

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Completing the Agentic System

At Nilus, we are building the System of Action - an Agent Stack designed for treasury. 

With Analyst Agent, Nilus evolves from a platform that simply shows you data to an agent that reasons over it. The goal is simple: ensure treasurers spend zero time building reports and 100% of their time on strategy. Nilus’s Analyst Agent fully automates the "build" phase of reporting (the pivoting, the charting, the initial drafting) so you can focus purely on strategic insight and decision-making.

The Analyst Agent doesn't work alone. It joins the Nilus Agent Stack, functioning as a digital teammate alongside other specialized agents. Together, they transform Nilus from a tool you use, into a team you lead.

The Analyst: Your "Analyst in a Box"

This is the core of the Agentic Shift in treasury. We are moving away from static rules and batch reporting toward continuous, autonomous reasoning.

A dashboard can tell you cash is down. A chatbot can tell you the balance. But an Agentic System connects the dots across your banks, ERPs, and policies to tell you why cash is down, what caused the variance, and how it impacts your forecast - instantly.

Instead of exporting data to Excel to manipulate it, you delegate the heavy lifting:

1. Pivot without the Pain - If you need to see cash flow broken down by entity, currency, or bank, you don’t need to build a model. You simply ask: “Pivot my cash flow by entity for Q3.” The agent instantly generates a formatted, accurate table, organizing inflows, outflows, and intercompany transfers automatically.

2. The Narrative Draft - This is where the agent becomes a true teammate. Along with the chart, the agent writes a narrative summary explaining the key drivers of the variance. It gives you the "first draft" of your answer to the CFO, highlighting anomalies and trends so you don’t have to hunt for them.

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The problem with most ad-hoc analysis is that it is disposable. You build a complex model to answer a Board question in Q1, and by Q3, that context is lost in a buried spreadsheet version.

The Nilus Analyst Agent has a photographic memory.

We didn't just build a chat interface; we built a searchable knowledge base for your logic.

The Use Case: Imagine you need to reference a specific variance analysis regarding "EMEA Collections" that you ran six months ago.

• The Old Way: You dig through email threads or try to open an old Excel file that breaks because the links are dead.
• The Nilus Way: You type "EMEA Collections" into the search bar.

In one click, you retrieve the exact report, the chart, and the narrative summary from six months ago. You can instantly see why you made a decision back then, and re-run the same logic on today's data.

This transforms your ad-hoc queries into a permanent, searchable asset for the entire finance team.

Assurance-Grade: Transparency, Not a Black Box

We know that in finance, "AI" can sound like "risk". You cannot present a number to the Board if you don’t know where it came from.

Nilus is built on assurance-grade AI. When the Analyst Agent gives you an answer:

• It is auditable: The outputs are transparent tables backed by our unified data layer.
• It is controlled: The agent reasons over your actual bank and ERP data, not a generalized model.
• It is reliable: There are no hallucinations, only calculations.

From Builder to Reviewer

The goal of the Analyst Agent isn't to replace the treasurer. It’s to promote them.

By handing off the data janitorial work to an agent, you free yourself up to be the reviewer and strategist. You reclaim the bandwidth to focus on what matters: protecting liquidity, optimizing yield, and driving the business forward.

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