Black Ore Tax Autopilot Goes Wide

Black Ore's AI platform, Tax Autopilot, is now widely available, automating tax preparation for CPA firms and addressing industry talent shortages.

Black Ore Tax Autopilot AI platform automating tax preparation for CPA firms
Black Ore's AI-powered Tax Autopilot is now widely available for CPA firms.
Key Takeaways
  • 1
    Black Ore's AI platform, Tax Autopilot, is now broadly available to CPA firms.

  • 2
    The tool automates complex tax return preparation, aiming to alleviate industry talent shortages.

  • 3
    Early access users reported significant time savings, cost reductions, and high accuracy rates.

Black Ore has opened up its AI-powered tax preparation platform, Tax Autopilot, to the broader market. The company, which counts 40% of the nation's Top 20 CPA firms among its early users, aims to address the growing talent deficit in the accounting profession.

Launched in early access two years ago, Tax Autopilot saw demand from nearly 4,000 firms, with Black Ore selectively onboarding 75, including major players. This broad availability comes as the accounting industry faces a significant shortfall, with hundreds of thousands of accountants leaving the profession and CPA exam candidates at a 17-year low.

"Tax Autopilot has proven itself across tax seasons with top CPA firms, and now it's time to scale," said Eyal Shinar, Co-Founder and CEO of Black Ore. "Our customers are already seeing substantial time savings and lower costs across tens of thousands of complex returns."

Black Ore Tax Autopilot interface screenshot showing automated tax return data.
Image credit: StartupHub.ai

Unlike solutions that layer AI onto existing processes, Tax Autopilot handles the entire tax return lifecycle autonomously. This includes ingesting diverse document formats, intelligently extracting and classifying data, applying tax code logic, and generating workpapers. The platform integrates with major tax software, delivering review-ready returns.

Every return generated is fully prepared and auditable, with each data point traceable to source documents and flagged for professional review. Black Ore emphasizes that firm professionals remain the final authority for sign-off, maintaining control.

The platform is SOC 2 Type II certified, operates in encrypted environments, and has passed rigorous AI, privacy, and security reviews, addressing common concerns around AI adoption in sensitive financial workflows. This level of security is crucial for firms handling complex client data.

Early results from participating firms are striking. Tax Autopilot achieved over 99% accuracy on tens of thousands of returns, with a 98% autonomy rate. Firms reported up to 98% time savings and up to 80% cost reduction per preparation.

"Before Black Ore’s Tax Autopilot, preparing a high net worth return with dozens of complex K-1s could take several days," said Kyle Parks, Leading Partner at Maxwell Locke & Ritter. "Now, it’s ready for review in minutes with high quality results, improving our efficiency while allowing us to maintain control over the process."

Jeff Wong, Former Global Chief Innovation Officer at EY, commented, "Black Ore’s Tax Autopilot is what every enterprise firm struggles to build and hopes to procure, an AI-native tax platform driving significant, consistent ROI." He added, "CPAs that move on this will serve more clients, at higher margins, with a fraction of the hours. The ones that don't will get left behind." This sentiment highlights the competitive pressure to adopt advanced CPA firm technology.

The push for automation in tax preparation reflects a broader trend in CPA firm technology, seen in initiatives like AI Tax Firm Gelt Secures $13M and companies aiming to replace legacy systems, such as Rillet Raises $70M. Automating tax preparation is becoming a key differentiator.

For firms looking to explore AI's potential in finance, platforms like Snowflake's Agent Framework for Finance also showcase the evolving landscape of intelligent automation.

Black Ore Tax Autopilot is now available for firms seeking to accelerate revenue growth and improve client focus amidst industry-wide talent challenges.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.