DAIS launches Alx reporting demos around accounting firms’ existing data

DAIS has [announced Alx.](https://www.24‑7pressrelease.com/press‑release/539904/dais‑introduces‑alx‑a‑personalized‑ai‑agent‑that‑turns‑accounting‑firms‑data‑sources‑into‑reports‑using‑natural‑language‑chat), an AI reporting agent for accounting‑firm leaders. Its initial job is to turn a plain‑English management question into a report using supported data from the firm’s existing business systems. The company is offering demonstrations and a discussion of fit for a focused pilot. The intended user is a partner or operations leader asking about the practice itself: work in progress, overdue receivables, recorded hours or a similar reporting need. This is an interface for defining and reviewing a business report, rather than a replacement for the underlying accounting or practice‑management system. Whether a particular firm can use it depends on the data sources and access requirements reviewed with DAIS.

On its [product page](https://dais.co/alx), DAIS describes a workflow in which the user defines a question, reviews the proposed reporting plan, requests changes and approves the definition. Dates, columns, grouping and filters are made explicit before the report is used. Follow‑up questions can narrow the view or change the period. That review step is consequential because an apparently simple question can have several interpretations. A report about a previous week, for example, needs an agreed period and a clear basis for which records belong in it. The product page illustrates those choices. It does not establish that every generated report has been checked against a firm’s records or that a conversational request removes the need to review the definition and output.

The [launch release](https://www.24‑7pressrelease.com/press‑release/539904/dais‑introduces‑alx‑a‑personalized‑ai‑agent‑that‑turns‑accounting‑firms‑data‑sources‑into‑reports‑using‑natural‑language‑chat) describes generating reports, saving them for reuse and scheduling recurring reports. The [product FAQ](https://dais.co/alx) makes an important distinction between those actions: saving keeps a report available to run again; it does not schedule it automatically. A saved definition can retain the columns, filters and sorting for a recurring review, with the reporting period chosen when it is rerun. That separates the structure of the report from the decision about when it should run. A team evaluating the product therefore needs to establish both the report it wants to reuse and any separate scheduling behavior it requires. The announcement provides no independent evidence of time saved or improved financial results.

DAIS labels the [website’s sample conversations and reporting walkthroughs](https://dais.co/alx) as illustrative, using fictional or supplied sample data. It explicitly says the illustrated workflow has no live CCH connection. Vendor logos displayed on the page therefore should not be treated as proof that every listed system, version or data source is already supported for a particular firm. The company asks prospective users to bring a reporting question, review the relevant systems and data, and discuss a pilot if there is a fit. It also recommends comparing pilot output with source data and reporting requirements before relying on it. The public pages do not publish a standard price or a complete integration matrix. They describe a way to evaluate a reporting workflow; they do not establish accuracy, regulatory compliance or a basis for accounting or financial advice. *Original source‑based figure by OpenTools Team, based on [DAIS’s product description](https://dais.co/alx). It summarizes defining and reviewing a reporting plan, then saving it for later reruns. Saving does not automatically schedule a report. This is an explanatory diagram, not a connected accounting account or a financial result.*