Clockwork.ai Introduces Mira, Its AI Analyst for Small Businesses

Jul 9, 2026
Clockwork.ai has launched Mira, an AI analyst that provides forecasting and financial insights for small and medium sized businesses using their QuickBooks and Xero data.

Clockwork.ai has launched Mira, an AI analyst designed to give small and medium sized businesses access to the capabilities of a chief financial officer announced in a press release. Mira analyzes data from QuickBooks and Xero to run forecasts, build scenarios, and explain financial figures.

Once connected, Mira automatically reviews cash flow, balance sheets, and forecasting data without prompts. According to the company, connecting takes under three minutes with no setup fees or manual implementation. The tool uses each business's real transactional data to generate forecasts and explanations, reducing the need for spreadsheet-based analysis.

Users can set Mira to monitor specific financial indicators and receive notifications when key metrics change. Behind the AI sits the full Clockwork platform, which provides forecasts, scenarios, and dashboards traditionally handled by a finance team. Clockwork currently supports over 3,000 businesses and is the official financial planning and analysis partner of Thomson Reuters. Mira is available now to new and existing Clockwork customers.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly or Daily AI Brief.

Also, consider following us on social media:

AI in Finance AI Brief AI Brief (X)
Free newsletter

Finance AI Weekly

Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.