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Fintech SaaS execs discover the enemy within, and it’s AI

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Imagine for a moment, you are the CEO or CRO of a growing fintech company when the news about how artificial intelligence can transform the accounting and finance industries first breaks.

The dollar signs start going off in your head, because you’re already perfectly positioned to be at the forefront of this upcoming boom.

You have the team, and you have the infrastructure, to capitalize on incorporating AI into your existing product offerings, which surely will excite the CFOs and controllers you sell to, making hitting your sales numbers automatic.

These controllers are desperate for technology to help their burnt out staff pick up the slack from the never-ending work that keeps piling onto their plates, and these CFOs are desperately trying to get it all done without incurring additional headcount costs, so they can report back to their board a decrease in cash burn.

Just when you think the opportunity can’t get any better, it does! The tech world announces AI agents, an iterative evolution of the original AI, which can quite literally do staff accounting work (and in some cases, one might argue it can even think at the same level of a staff – I kid! sorta). 

Your software engineers get to work implementing all of these new technologies and features into your product while you and leadership anxiously await the chance to inform the world of how you’re at the front edge of this time and cost-saving technological breakthrough!

Then, as you lay in bed the night before you’re about to make some major marketing campaign announcements, it hits you… as a fintech SaaS company, you sell seats. Your revenue numbers are tied to selling more seats of users on your application.

This dream very quickly became a nightmare.

Stuck between a rock and a hard place

If you missed it, the circular function resulting in a cell error in this situation (more accounting jokes), is that the technology being sold reduces the need for more people, and thus reduces cost… but in order for the company that is selling this technology to grow and report their exceeded sales benchmarks to the board, they need more purchased seats, which necessitates people to fill those seats!

The impasse is that the very thing which is going to help fintech products become better and more valuable to customers and users is also going to be the thing that reduces the number of customers and users.

Let’s also not forget about the optics.

Most accounting technology companies pride themselves on making life easier for the accountants whose work the technology is assisting with, but how much would these accountants want to buy the technology that could theoretically take their jobs?

You can see how this is a difficult situation, for fintech branding, yes; but also for us accountants to grapple with the idea that there is no winning either. We can either be left behind working inefficiently, or advance ourselves out of a job. 

That’s not to say there aren’t the lucky few who master the technology and get on top of it — because every system needs an operator — but why have a team of 10 when you can have a team of five?

To the CFO, this seems like a no brainer … and why wouldn’t the sales teams at fintech companies jump on the chance to appeal to the most critical part of this top level decision maker’s job: saving money.

It seems contradictory, since artificial intelligence is what has created the boom of B2B fintech SaaS companies over the last decade, starting with simple rules-based automations before AI was even a thing.

But as we all know, no opportunity is met without a challenge, and this one has been one brewing underneath all of the opportunities since technology first became the “LIFO the party” (OK, I seriously need to stop with these jokes).

So all doom, no boom?

It’s not all gray skies, as much as it sounds or appears like it may be.

The pivot point is clear and is part of a few other discussions that have been going around for years.

The first is the accounting profession rebrand, which I’ve written about before.

Technology offers us the chance to not just tell the next generation of accountants that their work won’t be as difficult and tedious because AI will help them, but rather that their work will be entirely different.

This may be met sorely by some ears who wish to preserve the traditional ways of working that accounting has been — trust me, I’ll always be a beautiful double entry purest — but we need to be comfortable understanding that beyond the technical theory, what it is that we as accountants do is going to be different.

When sprinklers were invented, gardeners and landscapers didn’t go out of business — they still needed to know where to place the sprinklers, at what interval they needed to turn on, and for how long — but they did need to give up trying to sell their traditional lawn-watering services.

We hate the word “change” in accounting because it sounds like more work, but sometimes change is necessary. Given we are referring to the talent pipeline as a “crisis” inherently means drastic times call for drastic changes.

The second has been the ongoing move to value-based pricing models.

This began when we started questioning if billable hours still made sense, with more work being outsourced and offshored for cheaper rates, and as technology made us more efficient with our work.

It left the room for a while, but the billable hours conversation is back up for discussion, and more importantly for action.

In the same way that fintech SaaS companies are struggling to find a solution to a seat-based pricing model, where AI reduces the number of seats needed; accounting firms are in need of finding a solution to billable hour-based charging, where AI reduces the number of hours needed.

As straightforward as it may sound to move to a “value-based” model, outcomes are not always necessarily the most quantifiable, and ROI has many more factors than the three words that make the acronym up.

Perhaps there’s an actuarial opportunity for roles that help provide clarity to how we place value on these types of activities, but that is a discussion for another day.

Within challenge comes opportunity

We can say that “accountants can do higher-level, more strategic work” all we want, but if accountants don’t view themselves as being more creative, innovative and strategic thinkers, it’ll be a tough service to sell. Plus, if the leadership at companies doesn’t view accountants beyond bookkeeping task rabbits, nor does the mainstream view accountants beyond their traditional number crunching stereotypes, it’ll be nearly impossible to swim against the tide.

What we, as accountants, have on our hands, is a need to show the world that we are capable of much more than what we’ve been pinned as, and most importantly to prove to ourselves that we can not only survive, but thrive in a different environment than SALY’s (OK, that was the last pun, I promise).

But that’s the rebrand hurdle that we’re up against. Not just among ourselves, but the entire business community, and most of society.

While each opportunity presents a new challenge, each challenge presents a new opportunity — so it’s time we start viewing them as such.

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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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