For accounting firms preparing for an AI-driven market, the biggest obstacle may not be access to an AI model. It may be the software stack underneath it. A new 2026 survey from Firm360, based on responses from 209 leaders at small and mid-sized accounting, tax and CPA firms, found that firms using a single integrated practice-management platform were nearly four times as likely to describe themselves as AI-ready as firms relying on multiple systems and manual data transfers.
Artificial intelligence is rapidly moving from an experimental technology to part of the operating model for professional services firms. But for accounting practices, the path to useful AI increasingly runs through a less glamorous piece of infrastructure: data integration.
That is the central finding of Firm360’s newly released 2026 Firm Health and AI Readiness Report. The company found that 82% of firms using a single integrated practice-management platform considered themselves AI-ready, compared with just 21% among firms managing several disconnected systems with manual data transfers.
The distinction matters because accounting AI depends heavily on the quality, accessibility and consistency of the underlying data. An AI assistant can summarize client information or identify workflow bottlenecks, but it becomes considerably harder to automate those processes when information is spread across spreadsheets, accounting applications, document systems and separate practice-management tools.
Firm360’s survey also suggests that AI has become a strategic concern rather than a distant technology trend. Thirty-four percent of respondents ranked AI and automation disruption among their top two threats to growth over the next three years, ahead of cybersecurity at 32% and increased competition at 30%.
Yet only 22% of firms said they were extremely prepared to compete in an AI-driven environment.
That gap is particularly interesting because firms most concerned about AI were not necessarily the most prepared. According to Firm360, only 53% of leaders who identified AI as a major threat said they were mostly or extremely prepared, compared with 61% among firms that did not rank AI among their leading threats.
The findings point to a familiar problem in enterprise technology: recognizing a technology’s importance does not necessarily mean an organization has the infrastructure required to deploy it effectively.
AI adoption is becoming an infrastructure question
The broader technology market is showing a similar pattern.
McKinsey’s 2025 global AI survey found that 88% of respondents said their organizations regularly use AI in at least one business function, but most companies remain in experimentation or pilot stages rather than scaling AI across the enterprise.
Accounting firms face an especially consequential version of this challenge because their systems contain financial statements, tax information, payroll records, client documents and other sensitive data.
That makes disconnected workflows more than an inconvenience. They can create duplicated records, inconsistent information and additional manual verification before an AI system can safely act on the data.
Firm360 found that 38% of surveyed firms lose at least four hours per person each week to activities including re-keying information, chasing approvals and reconciling disconnected systems. Among firms with 250 or more employees, 40% reported losing seven or more hours per person each week.
This is where integrated practice-management software competes with the traditional collection of specialized applications.
Platforms from Intuit, Thomson Reuters and Wolters Kluwer, among others, increasingly combine accounting, tax, workflow, compliance and AI capabilities. The competitive question is therefore shifting from which vendor has the most impressive AI feature to which platform can connect AI to the firm’s operational data without creating another silo.
Firms want AI to reduce administrative work first
The Firm360 research also offers a useful counterpoint to the assumption that accounting firms are primarily looking to AI for revenue generation.
Operational efficiency ranked first among respondents’ desired technology outcomes at 35%, followed closely by staff productivity at 33%. Business development came in at only 17%.
That suggests near-term AI adoption in accounting may be driven less by autonomous client acquisition and more by practical workflow automation: moving information between systems, preparing documents, managing approvals, organizing engagements and reducing repetitive administrative work.
This aligns with the profession’s wider concerns. The AICPA said in June that managing technological change and the rise of AI was the leading issue CPA firms expected to have an impact over the next five years.
For firms evaluating technology, that makes integration a board-level consideration rather than an IT housekeeping exercise.
The market is entering a replacement cycle
There is another signal in the Firm360 report: 81% of respondents said their firms were at least somewhat likely to replace or upgrade operational software within 12 months, with 52% describing themselves as very or extremely likely to do so.
That creates an opening for vendors that can consolidate fragmented workflows while providing controlled access to AI.
But buyers should treat vendor-sponsored readiness research as directional rather than definitive. Firm360 commissioned the survey, and its sample included 209 accounting, tax and CPA firm leaders. The results therefore provide useful insight into the market but should not be interpreted as a universal measurement of accounting-industry AI maturity.
For enterprise teams, the practical lesson is clearer: AI readiness should be evaluated at the workflow and data layer, not simply by whether a firm has purchased an AI tool.
An accounting firm with clean, connected operational data may be better positioned to deploy AI than a larger organization with more sophisticated models but fragmented systems.
That could make integration the next competitive battleground in accounting technology. As AI moves deeper into tax, audit, financial management and client service, the firms that benefit most may not be those experimenting with the largest number of models. They may be the ones that have already built the data infrastructure that allows those models to work reliably.
Market Landscape
The accounting technology market is moving from software automation toward AI-enabled workflow orchestration.
- Integrated platforms: Vendors increasingly combine practice management, accounting, tax, workflow and analytics to reduce data fragmentation.
- AI as an operating layer: Generative and agentic AI are moving beyond drafting and search toward executing multi-step workflows.
- Data governance: Financial and client data requires stronger permissions, audit trails and human review than many general-purpose AI applications.
- Platform consolidation: The high replacement intent identified by Firm360 suggests firms may use the current AI cycle to rationalize legacy technology stacks.
- Competitive pressure: Microsoft, Salesforce and other enterprise software providers are embedding AI into existing workflows, raising expectations for specialized financial software.
The key distinction for buyers is between AI added to software and AI embedded into connected business processes. The latter requires reliable underlying data, permissions, workflow context and governance.
Top Insights
- Firm360 found integrated firms nearly four times more likely to feel AI-ready, underscoring the importance of connected data infrastructure for accounting automation.
- AI and automation rank as accounting firms’ leading growth threat, but only 22% describe themselves as extremely prepared for an AI-driven market.
- Manual data work remains expensive, with 38% of firms losing four or more hours per employee weekly to disconnected workflows and approvals.
- Accounting firms prioritize operational efficiency and staff productivity over revenue growth, suggesting workflow automation will drive near-term AI adoption.
- High software replacement intent creates an opening for integrated platforms that combine practice management, accounting data, workflow automation and governed AI.
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