Transforming treasury workflows with AI Assistant

What is AI Assistant?

It’s not just another piece of software — we’re talking about a fundamental shift in how your team interacts with data and makes decisions.

Imagine having a personal analyst available 24/7 who instantly understands your questions, knows exactly where to find the answers across all your systems, and can explain complex financial scenarios in simple terms.

That’s what today’s AI Assistants deliver.

The most advanced AI Assistants, powered by Large Language Models, are revolutionary because they don’t just process commands — they understand context. You can ask questions naturally, the same way you’d ask a colleague, and get back clear, actionable answers. But here’s what’s really important: while the AI handles the language understanding and data retrieval with remarkable speed, it’s still grounded in your organization’s specific business rules and financial logic.

Think of it like this: when you ask about your cash position or want to model a scenario, an AI-based Assistant isn’t guessing. It intelligently determines whether to pull real-time data directly, trigger a predefined calculation, or even combine multiple data points to give you a complete picture.  This combination of natural language understanding with backend integration is what delivers truly accurate, contextual answers at unprecedented speed.

The key capabilities of AI Assistant for treasury

For treasury professionals, there are two important capabilities that AI Assistants can bring:

1. Intelligent data analysis that doesn’t just give you numbers but interprets them in the context of your business, like showing how an interest rate change would specifically impact your debt portfolio.
2. Context-aware data search that can instantly locate and synthesize information across all your systems — whether you need overdue invoices, exposure by region, or counterparty risk assessments.

As a result, you spend less time hunting for information and more time acting on insights. Instead of waiting for reports, you get answers when you need them, in a format you can actually use. And that’s how AI moves from being a nice-to-have tool to becoming a true strategic advantage for your treasury function.

AI Assistant: Framework

How does AI Analytics work?

AI Assistant can analyze large volumes of structured data, such as transactional records or financial metrics stored in databases. This enables advanced use cases like identifying trends, forecasting cash flow, detecting anomalies, or flagging early signs of risk.

For example, AI might highlight seasonal cash flow fluctuations, predict upcoming liquidity gaps, or spot unusual changes in customer payment patterns before they become an issue.

AI Assistant is integrated into the dashboard — data visualization board that shows cash positions or payment statuses in real time. Getting started is effortless: you enable the AI Chat with just a single toggle.

A custom visual allows users to ask questions about the data that was used to build the dashboard and receive valuable insights.

The communication with the AI Assistant is intuitive — there is no need to train your team to use the chat. It supports natural language queries, so there is no need to use specific formats.

As the next step of this functionality, AI Assistant can not only generate text responses, but can also create structured reports to download (like summaries or analytics) or even custom graphs based on dashboard data.

How does AI Search work?

The AI Search functionality is built on two main flows:

• Embedding

  Embedding is the process of breaking documents into smaller parts and indexing them in a vector database. In simple terms: the system breaks the document into chunks, reads each chunk, understands its meaning, and turns it into a set of numbers — called a vector — that captures that semantic meaning.

• Search

  When a user asks a question, the AI Assistant does the same — it converts the question into a vector and searches for the most semantically similar chunks across the database.

The search isn’t based on exact words — it's based on meaning. So the system understands synonyms and different ways of phrasing, making it far more flexible than traditional keyword search.

Once it finds the most relevant document parts, it summarizes them into a clear, concise response for the user.

What's more, the AI Assistant is designed for full transparency, traceability and auditability for every interaction. It doesn’t just provide an answer — it shows exactly where the information came from, including the source document and page number.

Users can also download the original document directly from the interface for further review. 

This functionality is delivered through a web application with a simple, intuitive chat interface.

All responses are stored in secure, encrypted logs for compliance and audit purposes. Retention periods can be adjusted to meet the company’s policies.

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If you're considering AI as a part of your strategy but unsure where to begin, we're here to support you. WaveAccess brings over 80 successful AI implementations, custom workshops, and end-to-end support from strategy to implementation.