Skeptical about AI? Why tax firms should start with data integration

Why integrated workflows (not hype) are the real foundation of the modern tax firm

For many tax professionals across the US, hesitation around artificial intelligence (AI) isn’t about fear of change. It’s about responsibility.

Tax is a profession built on accuracy, accountability, and trust. Every return carries risk. Every filing requires judgment. And every new technology raises a reasonable question: Does this make my work better, or faster? Or does it just make my work more complicated?

That skepticism is healthy. In fact, it’s exactly what has helped the profession evolve carefully and credibly over time.

But here’s the reality firms are facing today: complexity isn’t slowing down. Compliance demands remain intense. Client expectations continue to rise. And firms are increasingly expected to expand services and profitability, without growing headcount at the same pace.

In that environment, the conversation shouldn’t start with “how fast can we adopt AI?” It should start with a more practical question: “How can we reduce friction, rework, and preventable risk in tax workflows, without compromising professional judgment?”

Even for the 78% of firms that plan to increase AI investments in the next three years, the answer begins with integrated systems and data.

The real bottleneck isn’t intelligence, it’s disconnected data

Most tax professionals don’t struggle because they lack expertise. They struggle because too much of their time is spent managing handoffs, tracking down answers to questions, and re-entering data, instead of applying judgment. Consider the familiar pain points:

• Client data entered multiple times across systems
• Documents arriving through different channels and formats
• Manual reconciliation between organizers, source documents, and returns
• Review cycles driven by process gaps rather than substantive issues

Each extra touchpoint increases the chance of delay or error. And none of them make the final return more insightful or defensible.

That’s why data quality and integration deserve renewed focus, as firms have quickly begun to realize that when systems don’t connect, automation breaks down, and insight generation stalls.

Why data integration is the foundation of low touch tax returns

When people hear the phrase low-touch tax return, it can sound unsettling, as if professionals are being removed from the process. That’s not the goal.

A low-touch tax return, or agentic tax return is not about being hands off. It’s about removing unnecessary touches, so the touches that remain actually matter. In an agentic tax workflow:

• Data is captured once and flows consistently through the return
• Professionals focus on review, judgment, and exceptions
• Errors are flagged earlier, not discovered at the last minute
• Review time is spent evaluating substance, not correcting preventable issues

Human oversight doesn’t disappear. Accountability doesn’t change. The goal is simply to reduce noise, so professionals can focus where their expertise adds the most value.

Where AI fits in tax… and where human judgment remains essential

For many tax professionals, skepticism about AI is rooted in a need for clarity, not fear. AI is not a silver bullet, it doesn’t replace professional judgment, and it shouldn’t be treated as an end all solution for complex tax work. Problems arise when AI is framed as more capable, or more autonomous, than it should be.

AI should not make filing decisions. It should not replace human review or sign off. And it should never operate without transparency or accountability.

Used thoughtfully, however, AI can play a genuinely useful role within the tax workflow. For example, AI can:

• Summarize source documents professionals already review
• Flag inconsistencies or anomalies earlier in the process
• Track what information is missing and where a return is stalled
• Highlight year over year changes so reviewers know where to focus first 

From automation to orchestration, without losing control

As data becomes more integrated, software can begin to do more than automate individual tasks. It can help coordinate work across processes. That might look like:

• Tracking progress across preparation and review steps
• Identifying what’s missing and prompting next actions
• Escalating exceptions for human attention
• Creating clearer, more predictable workflows during peak periods

This type of capability is often described as agentic AI. The term can sound intimidating, but the behavior is straightforward: software that helps manage work, not replace professionals. And importantly, it only works when the underlying data is connected and reliable.

Why data quality and workflow modernization drive growth beyond compliance

The business case for integrated, agentic workflows goes beyond saving time during tax season. Firms that have modernized their data foundations are seeing tangible results: Stronger profitability, better client retention and greater capacity to expand advisory services.

And that’s important, because advisory is no longer an edge case. For example, 94% of U.S. firms offer advisory services today (and 63% call them a key service). That shift doesn't happen by working longer hours, it happens by creating capacity.

Low touch compliance is how firms protect margins while investing time where clients see the most value.

A practical, low risk way to prepare tax firms for AI adoption

For firms that are cautious about AI, progress doesn’t require a leap. It requires sequence, starting with the fundamentals that make any advanced technology reliable and defensible.

• Start with integration, not AI: Connect intake, documents, and core tax systems to reduce duplicate entry and ensure data flows consistently through the lifecycle of the return.
• Standardize before you automate: Clean, structured, and consistent inputs improve data quality and create predictable, reviewable outcomes.
• Modernize in focused, manageable phases: Short, well defined cycles reduce resistance, surface issues early, and deliver visible results without disrupting peak season performance.
• Apply AI only where it clearly removes friction: Begin with bounded use cases—document summarization, research copilots, workflow tracking, and exception flagging—to build confidence and firmwide buy in.
• Design roles around value, not tasks: As automation removes manual work, keep humans firmly in control while shifting time toward review, analysis, advisory, and higher value client engagement.

The bottom line

The future of tax isn’t about trusting machines more. It’s about designing workflows that respect the time, judgment, and responsibility of tax professionals. Integrated data makes that possible. Agentic workflows make it sustainable. And AI, used carefully, helps firms operate with greater confidence, not less. You don’t have to rush into AI. But you do need to design for a future where your expertise is applied where it matters most.