MIT research shows 95% of enterprise generative AI initiatives in corporate finance fail to deliver ROI, with poor data quality—not immature tech—cited as the primary culprit.
Docyt examines why tax season remains labor-intensive despite decades of accounting automation, exploring how tech can streamline the process.
Docyt explores why tax season remains manual and deadline-driven despite decades of accounting software innovation, positioning automation as a solution.
Docyt explores persistent labor burdens in tax preparation despite decades of accounting software innovation, examining why automation hasn't fully solved seasonal tax complexity.
Jason Staats discusses real security vulnerabilities in AI agents for accounting firms, citing Palo Alto Networks research on risks and mitigation strategies for firm owners.
Podcast episode discusses findings from Karbon's 2026 State of AI in Accounting report, covering how 579 firms are integrating AI—appears to focus on adoption trends and practical firm applications.
Podcast explores tech predictions for bookkeeping firms, focusing on automation pressure on QuickBooks Online/Xero and month-end close workflow changes.
Podcast host reviews 2025 tax tech predictions for accounting firms, evaluating progress in intake, delivery, workflows, and AI adoption against actual market outcomes.
Podcast Q&A explores practical AI applications for client communication workflows at accounting practices, based on feedback from ~700 firm owners.
Jason Staats interviews accounting firm leaders in Toronto about practical AI implementation and adoption, moving beyond vendor hype to peer-driven learning.
Jason Staats analyzes GPT-5.1's impact on accounting firms, highlighting how improved instruction-following enhances AI review capabilities for firm leaders.
Podcast explores accounting firm trends with RAMP's Brad Gustafson on tax season scheduling, bookkeeping automation, and AI adoption strategies for firm leaders.