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Your CPA firm’s advisory board — now powered by AI

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Complimentary Access Pill

Enjoy complimentary access to top ideas and insights — selected by our editors.

A few months ago, I did something I rarely do; I signed up for a high-priced out-of-town workshop. These kinds of gatherings are often disappointing for me, but I figured this one might be different. It promised two full days of insight from one of the leading voices about business growth and scaling, which is something I’ve been thinking about a lot lately. 

I flew in the night before, showed up early the next morning, and settled into my seat, notebook in hand, ready to learn. One problem. The expert, whose name was all over the promotional materials and my ticket, wasn’t there. Instead, we had to sit through a series of presentations from the leader’s team. The content wasn’t bad, but it wasn’t what I came for. After a few hours, I realized this workshop wasn’t the best use of my time (or money).

So, I left.

Back in my hotel room, I opened my laptop and pulled up ChatGPT. I typed in: “I want you to be [this expert business leader]. These are the questions I need answered for my business. Help me build a 12-month action plan.”

And it worked. 

(Disclaimer: The author receives no compensation or promotional consideration for products and services mentioned in this article.)

Because so much of this leader’s thinking was already in the public domain — in podcasts, books and interviews — my AI bot could channel his voice very accurately. My AI experience wasn’t just better than sitting in the conference room with the expert’s team — it was like having a private advisory session with the leader himself. Through AI I could ask follow-up questions, drill down into specifics, and get feedback that was tailored to my exact situation

That’s when it hit me: if I could do this with one expert, why not use AI to build an entire advisory board composed of the people I most want to learn from?

The dream-team advisory board

Most accounting firms are wrestling with similar challenges today: pricing, process improvement, recruiting, retention, new technology adoption, improving client experience, and standing out in the marketplace.

Now, imagine calling a board meeting and having Jeff Bezos (pricing and scale), Elon Musk (innovation), Charlie Munger (mental models) and Indra Nooyi (culture and leadership) sitting around the table with you. That’s not wishful thinking anymore. With AI, you can get their perspectives in real time on a wide range of subjects.

Here’s what I did after my disappointing workshop: I prompted ChatGPT with the following: “Act as Jeff Bezos. How would you redesign the pricing strategy of an accounting firm to scale while adding more client value?” Then I tried this prompt: “You are Charlie Munger. Walk me through the decision-making traps I might be falling into as I think about M&A”.

Are the answers perfect? No. But they’re thought-provoking. They shake you out of the same circular conversations you keep having with partners. Sometimes just hearing the words phrased in a different way can unlock a new angle. It’s like getting to borrow someone else’s brain for an hour — and it’s entirely free.

Giving your client a seat

The second kind of advisory board might be even more important: your client avatar.

Here’s the reality — most firms don’t really know what their clients think. We like to assume. We like to project. We like to imagine. But if we ask clients directly we discover that they care about things we never thought were important. Now, you can give your clients a permanent seat at the table.

Here’s how:

  1. Start by defining your ideal client in detail. Let’s say it turns out to be a 50-year-old real estate investor with a handful of rental properties and growing interest in multifamily deals. Let’s also say she uses LLCs and partnerships but isn’t fully confident that the structure of her businesses is tax optimized. Her biggest fear is missing deductions or setting up an incorrect entity structure that leads to an audit. Her biggest frustration? Having to explain real estate basics to her CPA instead of the other way around.
  2. Feed that profile into AI and tell it: “From now on, you are this client. Answer my questions as she would.”
  3. Then ask AI what you’d ask if the client was literally in the room: “What frustrates you about working with an accounting firm?” or “What would make you feel we were indispensable?”

When I tried this approach, the answers were uncomfortably honest. They reminded me that while I take pride in my technical sophistication, my ideal clients care more about my availability and proactive guidance. And that’s the kind of client insight you want shaping your decisions.

You can make the avatar sharper by layering in real client survey data or feedback from past tax seasons. The point isn’t to avoid talking to clients — it’s to keep their voice present in every strategic conversation you and your team have.

Why this matters

Here’s the big takeaway: access to expertise is no longer the problem. Execution is.

Ten years ago, a mid-sized accounting firm couldn’t access Jeff Bezos’s perspective on pricing or run a role-play with their perfect client avatar. Today it can. That means the firms that get ahead won’t be the ones with the most money or the fanciest consultants. It will be the ones that build execution discipline around today’s tools.

If you want to make this real, schedule a quarterly “advisory board meeting.” Invite your chosen “members.” Maybe Bezos, Munger and your client avatar. Come with three questions you need answered. Run the prompts. Debate the responses with your team. Then walk away with three concrete decisions to act on.

It might sound unconventional, but after trying a virtual advisory board meeting myself, I can tell you it works. And once you start, you’ll never want to go back to guessing or recycling the same stale ideas.

Closing thought

I spent thousands of dollars and half a day at a workshop to realize something I could have done from my own office: the best advisory board you’ll ever have is already available to you. The only question is whether you’ll invite them into the room.

What is your firm doing to get more out of your advisory board meetings?  I’d love to hear from you.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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Accounting

Automated Tax Compliance and Global Regulatory Harmonization in 2026

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Corporate tax accounting departments are navigating an era of unprecedented regulatory complexity as global tax harmonization frameworks take full effect alongside real-time digital tax reporting mandates. Tax directors and accounting teams are adopting cloud-based tax compliance automation tools to manage multi-jurisdictional tax liabilities and satisfy stringent reporting rules across international jurisdictions.

Implementation of Global Minimum Tax Provisions
The implementation of international tax reform agreements—notably the Pillar Two global minimum tax framework—has reshaped multinational corporate tax planning. Multinational enterprises with consolidated revenues exceeding established thresholds must ensure an effective tax rate of at least 15% across every jurisdiction in which they operate.

Accounting teams are implementing specialized tax calculation modules integrated directly into enterprise resource planning (ERP) platforms. These automated tools calculate effective tax rates per country, identify top-up tax liabilities, and generate standardized compliance documentation required by national tax authorities.

Real-Time Digital Invoicing and E-Reporting Mandates
Tax authorities across Europe, Latin America, and Asia-Pacific have enacted mandatory electronic invoicing (e-invoicing) and continuous transaction controls (CTC). Under these systems, corporate transaction data must be submitted electronically to government portals in real time at the point of sale or invoice issuance.

This shift toward continuous digital tax reporting eliminates traditional annual tax audits in favor of ongoing automated compliance monitoring. Accounting departments are upgrading invoicing software to ensure seamless XML data formatting, digital signature authentication, and real-time validation against tax authority databases.

Automation and Data Analytics in Corporate Tax Strategy
To keep pace with dynamic tax legislation, tax departments are transitioning from reactive compliance teams to proactive strategic advisors. Machine learning algorithms analyze corporate transactional data to identify tax credits, research and development (R&D) incentives, and cross-border transfer pricing adjustments.

By automating routine tax return filings and calculations, corporate tax directors can focus on long-term capital structuring, evaluating the tax implications of corporate mergers, and optimizing international supply chain networks.

Strategic Priorities for Tax Executives
1. ERP System Upgrades: Ensure enterprise software is capable of generating real-time, granular tax data required for global minimum tax compliance.
2. E-Invoicing Integration: Implement scalable e-invoicing platforms to satisfy regional continuous transaction control regulations.
3. Strategic Tax Analytics: Utilize predictive tax modeling tools to evaluate structural changes in corporate operations and cross-border trade.

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