New report finds outdated systems are limiting insight, slowing workflows, and putting firms at a competitive disadvantage.
By CPA Trendlines
Accounting firms that fail to modernize their technology stacks risk losing ground as client accounting services shift rapidly toward real-time advisory, according to a new report from Ace Cloud Hosting and CPA Trendlines.
Download the full report here
The report finds that outdated, spreadsheet-heavy workflows and disconnected systems are no longer just inefficient—they are actively limiting firms’ ability to deliver insight, manage risk, and compete in advisory services.
“Technology is no longer an IT decision. It is a strategic one,” the report states.
Advisory Demands Real-Time Data
The sharpest divide is emerging around data speed. While compliance work can still run on monthly or quarterly cycles, advisory services depend on continuous data. Firms relying on delayed reporting are producing outdated insights, weakening decision-making and client value.
Use cases such as cash flow monitoring, variance analysis, and performance tracking degrade quickly without near-real-time visibility. The result: firms without integrated systems are structurally disadvantaged.
Operational Drag Still Severe
Despite years of digital investment, the report documents persistent inefficiencies:
• Staff spend 58% of their time coordinating work, not doing it
• Payroll errors cost $291 per mistake on average, with 20% of firms affected
• Manual AP processes cap productivity at ~10,853 invoices per FTE, versus 23,333 with automation
• AR automation drives measurable gains, with 91% of firms reporting improved cash flow
• Expense reporting carries a 19% error rate
• Time tracking failures cost up to 5 billable hours per week, with revenue leakage reaching 40%
These inefficiencies compound in CAS environments, where scale and repetition magnify small breakdowns.
AI Adoption Surges—Execution Lags
AI is now widespread but unevenly deployed.
• 64% of firms plan new AI investment
• 93% already use AI in advisory support
• 81% report productivity gains
However, the report warns that unmanaged AI adoption introduces inconsistency and control risk. Firms seeing results are embedding AI within defined workflows, with clear governance and human oversight.
Fragmented Workflows Undermine Delivery
Technology gaps extend beyond systems into communication. Employees receive up to 200 emails weekly, with 40% spending 3–5 hours managing inboxes. More than 10 hours per week are lost to low-value communication. The impact: delayed responses, missed approvals, and inconsistent service delivery.
Stack Strategy Splits Firms
The report identifies two competing models:
• Modular stacks: flexible, best-of-breed tools requiring strong integration discipline
• All-in-one platforms: simplified management with less flexibility
There is no universal answer. The right model depends on firm maturity, complexity, and internal capabilities.
What matters is not how many tools a firm uses, but whether the system supports how work actually gets done.
Recommendations: Build Around the Work, Not the Software
The report outlines a clear playbook for CAS leaders:
1. Start with service design. Define workflows, responsibilities, and client touchpoints before selecting tools.
2. Prioritize real-time data. Advisory work requires continuous visibility.
3. Enforce integration. Systems must connect across accounting, payroll, billing, and CRM.
4. Automate high-volume processes. AP, AR, payroll, and expense management deliver immediate ROI.
5. Strengthen controls. Security, governance, and auditability are now baseline requirements.
6. Standardize execution. Workflow and practice management tools reduce coordination drag.
7. Apply AI with discipline. Align use cases to defined service models.
8. Consolidate communication. Centralized platforms reduce friction and improve responsiveness.
CAS is no longer a back-office function. It is becoming the primary engine for advisory growth. Firms that treat technology as infrastructure will struggle. Firms that treat it as an operating model will scale. The gap between the two is widening.