Ondash: Financial Intelligence for Accounting

Accountants and auditors spend a surprising amount of their time not on analysis, but on preparing the analysis. They receive audit files, open them in spreadsheet tools, manually build charts, write summaries, compare year-over-year figures, and assemble everything into a presentable report for their clients. The actual expertise — interpreting the numbers, spotting risks, advising the client — gets squeezed into whatever time is left.

Ondash was built to flip that ratio. It takes standardized audit XML files as input and produces complete financial reports: analyses, interactive charts, and forward-looking projections. The accountant's job shifts from building the report to reviewing and refining it.

What Problem Does It Solve?

Every accounting firm that works with annual accounts deals with the same workflow. A client submits their financial data, typically as a structured XML file following national or EU standards. The accountant then needs to:

Parse the data — extract balance sheet items, profit and loss figures, and metadata from the XML structure
Run analyses — calculate ratios (liquidity, solvency, profitability), compare against prior years, identify trends
Visualize results — create charts that make the numbers accessible to non-financial stakeholders
Generate projections — estimate where the company is heading based on historical trends
Compile a report — combine everything into a coherent document ready for the client meeting

Each step is well-defined and repetitive. The logic doesn't change much between clients — what changes is the data. This makes it a perfect candidate for automation.

How Ondash Works

The core workflow is deliberately simple from the user's perspective:

Upload — The accountant uploads one or more audit XML files through the web interface. The system recognizes the file structure and extracts all relevant financial data automatically.

Analyze — Within moments, the platform runs a battery of standard financial analyses. Balance sheet composition, revenue trends, cost structure breakdowns, key ratios, and year-over-year comparisons are all generated without manual configuration.

Review — The results appear as an interactive dashboard. Charts are clickable and explorable. The accountant can drill into any number, verify the calculations, and add their own commentary or interpretation where needed.

Export — The final report can be exported as a polished document ready for client delivery. It includes all the analyses, visualizations, and projections in a professional format.

The pricing model reflects this simplicity: pay per dossier, starting from one euro per analysis. No subscription, no hidden fees. For firms processing many dossiers, bulk credit packs bring the cost down further.

Financial Monitoring: The Core Component

At the heart of Ondash is the financial monitoring engine. It doesn't just display numbers — it watches them. The system understands what healthy financial indicators look like and flags deviations automatically.

When a company's liquidity ratio drops below industry norms, or when a cost category grows disproportionately fast, the report highlights it. This turns the output from a passive data dump into an active diagnostic tool. The accountant arrives at the client meeting not just with numbers, but with a prioritized list of topics worth discussing.

The monitoring covers the standard dimensions of financial health:

Liquidity — Can the company meet short-term obligations?
Solvency — Is the capital structure sustainable long-term?
Profitability — Are margins healthy and stable?
Activity — How efficiently is capital being deployed?
Growth — Are revenues and assets trending in the right direction?

Each dimension gets its own section in the report with appropriate visualizations: bar charts for comparisons, line charts for trends, composition charts for structure analysis.

Agentic Workflows: The Next Step

The current version of Ondash automates the mechanical parts of report generation. But the roadmap goes further. We are building agentic workflows — AI agents that don't just crunch numbers but reason about them.

An agentic workflow means the system can:

Interpret patterns — Not just flag that revenue dropped 12%, but suggest possible causes based on which cost centers or product lines changed
Generate narratives — Draft the explanatory text that accompanies each chart, in the accountant's professional language
Ask follow-up questions — If the data is ambiguous or incomplete, the agent can identify what additional information would clarify the picture
Adapt to context — Adjust the depth and focus of the analysis based on the company's industry, size, and history

The accountant remains in control. The agent produces a draft; the professional reviews, adjusts, and approves. Think of it as having a well-prepared junior analyst who does the groundwork and presents a first version, freeing the senior professional to focus on judgment and advice.

Who Is It For?

Ondash is designed for accounting firms and audit teams, particularly those who:

Process dozens or hundreds of annual accounts per year
Want to deliver more insightful reports without proportionally increasing headcount
Need consistent report quality across the team, not just from senior partners
Value speed — turning around a client report in minutes rather than hours

The platform doesn't replace the accountant. It replaces the spreadsheet gymnastics, the manual chart building, and the copy-paste report assembly. The professional's expertise — knowing what the numbers mean for this specific client — remains irreplaceable.

Where It's Heading

The vision for Ondash is to become the standard tool accounting teams reach for when they need to turn raw financial data into client-ready intelligence. The immediate focus is on processing Hungarian audit XML files. But the underlying engine — parse structured financial data, analyze it, visualize it, explain it — applies wherever standardized financial reporting exists.

As the agentic workflow capabilities mature, the platform will handle increasingly complex scenarios: multi-entity consolidations, sector-specific benchmarking, and predictive modeling that goes beyond simple trend extrapolation.

The goal is not to automate accounting. It's to automate the tedious parts so that accountants can do more of the work that actually requires their expertise.

Interested in trying Ondash or learning more? Visit ondash.ai.