In this episode of the Accounting Technology Lab, Randy Johnston and Brian Tankersley welcome Kashif Ali, founder of TaxGPT, for a discussion on why general-purpose AI tools such as ChatGPT, Claude, and Gemini are not sufficient for professional tax research and advisory work. Kashif shares his unconventional journey from journalism to software development and entrepreneurship, ultimately leading to the creation of TaxGPT after experiencing firsthand the difficulty of finding reliable tax information.

The conversation explores the evolution of AI in tax research, beginning with source-cited answers and progressing toward autonomous agent-based workflows. Kashif explains how TaxGPT differs from consumer AI tools by focusing exclusively on tax and accounting use cases, implementing hallucination controls, maintaining vetted tax knowledge bases, and emphasizing security and professional trust.

The discussion also covers agent orchestration, AI operating systems, workflow automation, and the future of accounting firms. Kashif argues that AI should eliminate repetitive compliance work while elevating the value of professional judgment. The panel examines the growing productivity gap between professionals who effectively leverage AI and those who do not. Looking ahead, Kashif predicts firms will increasingly deploy specialized AI agents, reduce reliance on outsourcing, shift toward advisory services, and potentially move away from billable hours toward outcome-based pricing.

Key Quotes

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Episode Highlights

Topics Covered

• Why general AI models struggle with tax research
• Hallucinations and trust in AI-generated answers
• TaxGPT's specialized tax knowledge architecture
• Agent orchestration and workflow automation
• AI governance and security considerations
• Model Context Protocols (MCPs)
• AI operating systems for accounting firms
• Future of tax preparation and review workflows
• One-person million-dollar firms
• Outcome-based pricing versus billable hours

Major Takeaways

• General-purpose AI is optimized for engagement, not professional tax accuracy.
• Specialized tax AI requires curated knowledge, citations, and hallucination controls.
• Agent-based workflows are beginning to automate entire tax processes.
• Human judgment remains critical despite increasing automation.
• Firms that embrace AI are widening the productivity gap over competitors.
• AI will increasingly shift accountants from compliance toward advisory services.

In this episode of the Accounting Technology Lab, Randy Johnston and Brian Tankersley provide an in-depth recap of the 2026 Black Ore AI Tax Summit held at Nasdaq Tower in New York City. The event brought together many of the accounting profession’s most influential leaders, technology innovators, managing partners, and AI experts to discuss the rapidly evolving future of AI-powered tax preparation and advisory services.

The hosts review Black Ore's launch of Tax Autopilot and discuss industry predictions that fully autonomous individual tax preparation may arrive by 2027, with autonomous entity tax preparation following shortly thereafter. They explore the profession’s growing labor shortage, the role of AI in addressing staffing challenges, and the importance of high-quality, structured data as the foundation for successful AI implementations.

The episode also highlights presentations from leaders at Ramp, EisnerAmper, Deloitte, KPMG, PwC, BDO, and other major firms. Key themes included AI-native accounting firms, the transition from compliance work to advisory services, enterprise AI adoption, data governance, process redesign, and the growing influence of private equity in the accounting profession.

Ultimately, the discussion paints a picture of a profession entering a transformational era where AI will automate routine work and create new opportunities for firms to deliver higher-value advisory services.

Key Takeaways

• AI-powered tax preparation is rapidly maturing.
• Black Ore predicts fully autonomous tax preparation by 2027.
• Labor shortages are accelerating adoption of AI solutions.
• Data quality remains the largest barrier to successful AI implementation.
• Firms are increasingly shifting talent from compliance work toward advisory services.
• AI-native accounting platforms may require a complete redesign of accounting workflows.
• Private equity continues to reshape the accounting profession.

Notable Quotes

TimestampQuote
02:28 | "By the end of 2027 we would have fully autonomous tax prep."
03:07 | "They wanted to produce a 100% optimal AI with 99% accuracy."
08:24 | "ROI should not matter at first."
08:39 | "You have to let chaos reign, and then rein in the chaos."
13:20 | "Getting the data quality up was the most significant impediment to their use of AI."
15:51 | "I'm not sure we're not going to have to have another level of revolution in the accounting space."
19:34 | "If we have the less mundane compliance work done for us automatically, can we use our talent to turn it over to advisory?"
21:22 | "Advisory requires us to become more comfortable with managing risk and not eliminating it."
27:05 | "It was probably the best event that I've been to in 10 or 15 years."
27:28 | "It was kind of like the accounting and tax equivalent of the Met Gala."

The accounting profession continues to struggle with fragmented systems. Documents arrive through email, text messages, portals, and cloud storage systems, while workflow management, client communication, and document storage often exist in separate applications.

In this episode (ATL261), Randy Johnston and Brian Tankersley review Keyveve (https://www.keyveve.com), a platform designed to solve that problem by combining multiple operational functions into a single environment.

The hosts discuss how Keyveve serves as a secure engagement hub where firms can manage documents, workflows, communications, and AI-assisted processes. Rather than requiring separate systems for each function, the platform seeks to create a unified source of truth for both staff and clients.

A major theme of the discussion is document management modernization. Keyveve includes AI-powered classification and naming capabilities that automatically organize documents based on their contents. This reduces manual indexing, metadata entry, and filing errors while improving retrieval and searchability.

The conversation also explores workflow automation. Firms can create engagement templates, assign responsibilities, monitor deadlines, and track work progress throughout the engagement lifecycle. The hosts note that workflow, documents, and communications remain connected instead of being managed in isolated systems.

Another important capability is centralized communication. The platform helps firms consolidate interactions that traditionally occur through multiple channels, including email, client portals, and other digital communication methods.

The hosts further discuss the growing role of AI in accounting operations. Keyveve uses AI for document analysis, search, classification, summaries, and contextual intelligence. As firms increasingly adopt AI tools, having access to structured engagement data becomes a significant advantage.

Finally, the episode considers firms evaluating alternatives to legacy document management systems. The hosts suggest that newer platforms such as Keyveve deserve consideration because they provide integrated capabilities that extend beyond traditional document storage.

For firms seeking greater efficiency, visibility, and collaboration, this episode offers a practical look at a platform designed around modern accounting workflows.

Key Discussion Points

• Unified document management, workflow, portal, and communications platform
• AI-powered document classification and naming
• Advanced document search capabilities
• Centralized engagement management
• Workflow automation and task tracking
• Client collaboration tools
• Custom engagement templates
• Support for tax, CAS, audit, and advisory workflows
• Potential alternative to legacy document management systems
• Future role of AI-driven engagement intelligence

(Note - a previous version of this episode had a gap in the audio, so we re-rendered the audio and have reposted the episode.)

The accounting profession is on the verge of a major transformation in document management. In this episode of the Accounting Technology Lab, Randy Johnston and Brian Tankersley examine how artificial intelligence is reshaping the way firms capture, organize, search, and process documents. Traditional document management systems have long relied on manual naming conventions, rigid folder structures, OCR limitations, and labor-intensive filing processes. The hosts explain why these legacy approaches are becoming inadequate as firms seek greater efficiency, mobility, and automation.

The discussion highlights how modern AI-powered document management platforms can automatically identify document types, extract data from invoices and forms, create meaningful file names, classify records, and route documents through workflows with minimal human intervention. Microsoft 365 technologies—including Teams, SharePoint, OneDrive, Power Automate, and Copilot—are emerging as foundational components of these next-generation solutions.

The episode also explores the convergence of document management, workflow automation, portals, e-signatures, and practice management into unified ecosystems designed to reduce administrative burden and improve client service.

For accounting professionals evaluating technology strategy, this episode provides a timely look at the future of document management and offers a compelling case for moving beyond traditional filing systems toward intelligent, AI-driven platforms.

Key Quotes from the Episode

TimeQuote
1:20 | "If an accountant is keying data, you've got a broken process."
2:53 | "You can't really put enough AI in the legacy platforms to make them do what they need to do."
5:18 | "If you can dream it, you can build it today."
6:08 | "Done is better than perfect."
10:28 | "What if the file knew how to name itself?"
11:04 | "This is the most radical shift that I've seen in 30 years."
13:02 | "If you could search everything, not just the titles..."
17:30 | "Many of us are still cranking Model Ts. That's what a lot of our document management systems are."

Key Topics Covered

• AI-powered document management
• Automated document classification
• Intelligent document naming
• OCR and content extraction
• Workflow automation
• Client portals
• Microsoft Teams
• Microsoft SharePoint
• OneDrive synchronization
• Microsoft Copilot
• Power Automate
• E-signature integration
• Practice management integration
• Legacy system replacement
• Future technology trends in accounting firms

In this memorable and surprisingly emotional episode of the Accounting Technology Lab, Randy Johnston and Brian Tankersley reflect on the “dead pool” of accounting and business software — products that have already disappeared or are approaching end-of-life support. The conversation blends humor, nostalgia, and serious operational warnings for accounting firms still relying on aging technology.

The hosts honor legacy products such as Microsoft Office Accounting, Creative Solutions Accounting, Great Plains, QuickBooks Point of Sale, Peachtree for DOS, and many others that shaped the accounting profession over decades. They also discuss looming deadlines for products including Microsoft Publisher, Office 2021, Windows 10, and File Cabinet CS from Thomson Reuters.

A major focus of the episode is the hidden danger of delayed software migrations. Brian explains the enormous complexity firms may face when converting legacy document management systems, especially File Cabinet CS, where documents are stored page-by-page as images requiring reconstruction and re-indexing.

The hosts warn that firms are “burning daylight” if they wait too long to begin planning these migrations.

The episode ultimately serves as both a tribute to past innovations and a practical wake-up call for firms needing to modernize before support deadlines create operational disasters.

In this episode of the Accounting Technology Lab, Randy Johnston and Brian Tankersley welcome Donny Shimamoto of the Center for Accounting Transformation and high school student Arpan Grewal to discuss one of the accounting profession’s most urgent challenges: recruiting the next generation of talent.

The conversation explores how outdated perceptions of accounting continue to discourage students from entering the profession. Arpan shares her candid perspective as a student who originally viewed accounting as “boring” and restrictive before discovering its broader opportunities through the Center for Accounting Transformation. Through mentorship, podcasting, and exposure to professionals in the industry, she realized accounting can serve as a launchpad into entrepreneurship, advocacy, leadership, finance, and innovation.

Donny explains how the profession must shift from promoting compliance-focused work to highlighting advisory, technology, and purpose-driven careers. The discussion also emphasizes how AI and automation are empowering accountants rather than replacing them, allowing younger professionals to contribute strategically much earlier in their careers.

The episode introduces the Student Ambassador Program, a peer-driven initiative designed to connect students with accounting professionals and modernize the profession’s image. Together, the guests deliver a compelling message: accounting offers purpose, flexibility, stability, and the opportunity to make a meaningful difference in business and society.

Catchy Quotes from the Episode

• “Accountants are the interstitium of business. They connect business together.” - Randy Johnston 2:05
• “What we’re really trying to do is help people be successful.” — Donny Shimamoto 4:20
• “Accounting is not what it looks like.” — Arpan Grewal 7:35
• “Accounting truly is a huge launchpad career.” — Arpan Grewal 8:10
• “AI is not taking our jobs. It’s actually upgrading us accountants.” — Arpan Grewal 12:05
• “It’s okay if you don’t stay in accounting for the rest of your life.” — Arpan Grewal 13:20
• “Students trust other students more than they trust adult-run programs.” — Arpan Grewal 21:05
• “We’re creating entry points instead of barriers into the profession.” — Arpan Grewal 21:35
• “The accounting profession can actually be so much more rewarding.” — Randy Johnston 24:25
• “Invest in students now before we lose them to other professions.” — Arpan Grewal 23:40

In this episode of the Accounting Technology Lab, hosts Randy Johnston and Brian Tankersley explore the alarming implications of Anthropic’s experimental AI security model known as “Mythos.” The discussion centers on how advanced AI systems are dramatically accelerating cyberattack capabilities, vulnerability discovery, exploit chaining, and zero-day attacks. The hosts compare Mythos to a “cybersecurity nuclear bomb,” referencing reports that the model identified vulnerabilities at exponentially higher success rates than prior AI systems.

The episode examines how AI-driven exploit development reduces the cost and time required for attackers to compromise systems, potentially threatening banks, corporations, governments, and critical infrastructure. The hosts discuss the rise of AI-generated malware, automated penetration testing, and the need for immediate patching strategies, stronger monitoring tools, and more aggressive cybersecurity practices.

The conversation also highlights Anthropic’s cautious rollout strategy through “Project Glasswing,” involving major technology and security firms like Apple, Microsoft, Cisco, CrowdStrike, and JP Morgan. Beyond cybersecurity, the hosts warn of broader implications involving biosecurity, espionage, AI token economies, and the future of autonomous AI agents. Ultimately, the episode serves as both a warning and a call for organizations to modernize their cybersecurity posture before AI-powered attacks become mainstream.

Catchy Quotes From the Episode

• 2:40 “One man’s pen test is another man’s hacking.”
• 5:19 “This new Mythos product is reported to have a 72.4% success rate.”
• 8:58 “The concept of dumping thousands of high severity zero days onto the market all at once is really the cyber equivalent of nuclear war.”
• 16:57 “The arguments you’re having about two-factor authentication… that party’s over.”
• 19:21 “Instead of it taking days to do this, it’s now becoming hours.”
• 20:25 “Who’s going to work Christmas to watch the vulnerabilities?”
• 24:03 “The use of AI is changing software and technology in ways we didn’t see coming.”
• 27:33 “A bad plan today is much better than a perfect plan tomorrow.”

In this episode of the Accounting Technology Lab, Randy Johnston and Brian Tankersley tackle a critical strategic decision for accounting firms: whether to adopt an all-in-one software suite or build a best-of-breed technology stack. They explore how suites from providers like Thomson Reuters and Wolters Kluwer offer convenience through integrated workflows, unified interfaces, and simplified vendor management. However, these benefits often come with tradeoffs, including limited flexibility, higher switching costs, and potential vendor lock-in.

On the other hand, best-of-breed solutions allow firms to select specialized tools tailored to their exact needs, particularly for advisory services and niche workflows. While integration tools like Zapier and Power Automate have made connecting systems easier, maintaining these integrations still requires effort and technical oversight.

The hosts also highlight real-world considerations such as app overload, data governance, pricing pressures, cloud cost management, and the growing importance of AI-enabled tools. They emphasize the need to define a “system of record,” reduce duplicate data entry, and evaluate true ROI beyond licensing costs.

Ultimately, the episode encourages firms to take a thoughtful, strategic approach—balancing efficiency, flexibility, and long-term scalability when designing their technology stack for 2026 and beyond.

Key Quotes

• “You have one throat to choke for making all this stuff work together.” (02:00)
• “The cost of a divorce grows geometrically as you have more and more stuff on a platform.” (05:20)
• “Best of breed is like building a race car—you get exactly what you want, but it takes work.” (06:30)
• “It’s getting easier—but we didn’t say easy.” (08:05)
• “Stop typing the same data twice.” (13:00)
• “Pick one—ditch the other. Less applications is better.” (10:20)
• “If you’re giving Gen Z tools from 1979, they’re not going to stay.” (25:00)