AI Opportunity Assessment

AI Agents for Mowery & Schoenfeld: Operational Lift in Accounting

AI agent deployments can automate routine tasks, accelerate data processing, and enhance client service delivery for accounting firms like Mowery & Schoenfeld. This assessment outlines the typical operational improvements seen across the accounting sector.

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20-30%

Reduction in manual data entry time

Industry Accounting Benchmarks

15-25%

Improvement in audit efficiency

AI in Professional Services Reports

10-20%

Decrease in client onboarding time

Accounting Technology Surveys

3-5x

Faster document review cycles

Internal Firm AI Pilot Studies

Why now

Why accounting operators in Lincolnshire are moving on AI

Accounting firms in Lincolnshire, Illinois are facing a pivotal moment, with competitive pressures and evolving client demands necessitating a strategic embrace of new technologies.

The Evolving Landscape for Illinois Accounting Firms

The accounting industry across Illinois is experiencing significant shifts driven by both market consolidation and a growing demand for more sophisticated advisory services beyond traditional compliance. Firms of Mowery & Schoenfeld's approximate size, typically employing between 150-250 professionals, are increasingly finding that operational efficiency is directly tied to their ability to leverage technology. Industry reports indicate that firms are dedicating 5-10% of annual revenue to technology investments, a figure that is projected to rise as AI capabilities mature. This mirrors trends seen in adjacent sectors like wealth management and tax preparation, where consolidation is accelerating and technology adoption is a key differentiator.

Navigating Labor Cost Inflation and Staffing Gaps in Accounting

Across the accounting sector, labor cost inflation remains a primary concern, with average salaries for experienced accountants rising by an estimated 7-12% annually per recent AICPA surveys. For firms in the Chicago metropolitan area, including Lincolnshire, this pressure is amplified by regional talent market dynamics. Many accounting practices are grappling with a shortage of qualified professionals, leading to increased recruitment costs and longer onboarding times. This operational challenge is further compounded by the need to manage client expectations for faster turnaround times and more proactive insights, placing a strain on existing staffing models. Businesses in this segment are exploring AI to automate routine tasks, aiming to reallocate skilled staff to higher-value advisory roles.

AI Adoption as a Competitive Imperative for Accounting Businesses

Competitors within the accounting industry, particularly larger national firms and rapidly growing regional players, are already integrating AI-powered solutions to streamline workflows and enhance service delivery. Early adopters are reporting significant gains in areas such as data entry automation, audit evidence analysis, and client communication management. For instance, industry benchmarks suggest that AI-assisted document review can reduce processing times by 30-50%, according to a 2024 report by the Association of Accounting Technicians. Firms that delay AI adoption risk falling behind in efficiency, accuracy, and the ability to offer competitive pricing and innovative services. This creates a 12-24 month window for firms like Mowery & Schoenfeld to establish a foundational AI strategy before the competitive gap widens substantially.

Enhancing Client Value and Operational Resilience in Illinois Accounting

The drive towards AI in accounting is not solely about cost reduction; it is fundamentally about enhancing client value and building operational resilience. Clients are increasingly expecting real-time data insights and proactive financial guidance, services that are difficult to scale with traditional manual processes. AI agents can help analyze vast datasets to identify trends, flag potential risks, and uncover opportunities for clients, thereby deepening relationships and increasing client retention. Furthermore, AI can bolster compliance efforts by improving the accuracy and speed of regulatory reporting, a critical factor for accounting firms operating under Illinois's specific regulatory framework. This strategic deployment of AI can solidify a firm's position as a forward-thinking partner in the competitive Lincolnshire market.

Mowery & Schoenfeld at a glance

What we know about Mowery & Schoenfeld

What they do

Mowery & Schoenfeld is a leading CPA firm in Illinois, established in 1996 by professionals from larger firms who aimed for a more personalized accounting experience. With offices in Lincolnshire, Chicago, and Miami, the firm has grown to include 21 partners and over 160 employees, generating approximately $11.9 million in annual revenue. The firm offers a range of services, including tax services, assurance, business advisory, transaction advisory, wealth management, and outsourced services. Mowery & Schoenfeld tailors its strategies to meet the specific needs of various industries. The firm has received numerous accolades, including recognition as one of Accounting Today's Best Accounting Firms to Work For for a decade and as one of Inc.'s 5000 Fastest Growing Private Companies in America. The company values accessibility, employee development, and a client-focused approach to ensure it meets the goals of its clients effectively.

Where they operate

Lincolnshire, Illinois

Size profile

regional multi-site

AI opportunities

6 agent deployments worth exploring for Mowery & Schoenfeld

Automated Client Inquiry Triage and Response

Accounting firms receive a high volume of client inquiries via email and phone regarding tax documents, deadlines, and general queries. Manually sorting and responding to these can divert significant staff time from core advisory and compliance work. An AI agent can efficiently categorize incoming requests, provide instant answers to common questions, and route complex issues to the appropriate specialist.

Up to 30% reduction in response time for standard queries— Industry benchmarks for professional services automation

An AI agent monitors firm inboxes and communication channels, identifying client questions. It accesses a knowledge base of firm policies, service offerings, and common tax/accounting FAQs to provide immediate, accurate responses or routes the inquiry to the correct department or individual with relevant context.

Proactive Tax Compliance and Deadline Monitoring

Missing tax deadlines or failing to adhere to complex compliance regulations can result in significant penalties for both the firm and its clients. Staying ahead of evolving tax laws and client-specific filing requirements demands constant vigilance. An AI agent can track regulatory changes and client deadlines, issuing timely alerts and reminders.

Reduction in missed deadlines by 90%+— Accounting industry reports on compliance automation

This AI agent continuously scans regulatory updates and client tax calendars. It identifies upcoming deadlines, potential compliance risks, and flags any changes in tax law that may impact specific clients, generating proactive alerts for review by tax professionals.

Streamlined Document Review and Data Extraction

Accounting work involves processing vast amounts of financial documents, including invoices, bank statements, receipts, and contracts. Manual data entry and review are time-consuming and prone to human error. AI agents can automate the extraction of key information from these documents, significantly speeding up data processing.

20-40% faster document processing— AI adoption studies in financial services

An AI agent analyzes submitted documents, identifying and extracting relevant data points such as dates, amounts, vendor names, and tax identification numbers. It can also flag discrepancies or missing information, preparing the data for further analysis or entry into accounting systems.

Automated Audit Preparation and Evidence Gathering

Audit processes require extensive documentation and evidence gathering, which can be a labor-intensive task for both auditors and clients. Efficiently compiling and organizing the necessary information is critical for a smooth audit. An AI agent can assist in identifying, collating, and organizing audit evidence based on predefined checklists.

15-25% reduction in audit preparation time— Internal audit practice benchmarks

This AI agent works with audit teams to identify required documentation based on audit scope. It can search client-provided data repositories, extract relevant files, and organize them according to audit standards, flagging any gaps or inconsistencies for the audit team.

Enhanced Client Onboarding and Data Collection

The initial onboarding of new clients involves collecting significant personal and financial information, which can be a complex and lengthy process. Inconsistent data collection can lead to downstream issues. An AI agent can guide clients through a standardized data submission process, ensuring all necessary information is captured accurately.

10-20% improvement in onboarding data completeness— Professional services client management surveys

An AI agent interacts with prospective or new clients via a secure portal or guided forms, collecting essential details like financial statements, tax IDs, and contact information. It validates data in real-time and prompts for missing fields, ensuring a complete and accurate dataset from the outset.

AI-Powered Research for Tax Law and Regulations

The accounting landscape is constantly shifting with new tax laws, regulations, and interpretations. Staying current requires continuous research, which is time-consuming for even experienced professionals. An AI agent can rapidly search and synthesize information from vast legal and financial databases.

Reduces research time by up to 50%— Legal and accounting tech research reports

This AI agent performs in-depth research on specific tax codes, legal precedents, and regulatory changes. It can summarize complex documents, identify relevant case law, and provide concise overviews of how new legislation might impact clients, supporting expert analysis.

Frequently asked

Common questions about AI for accounting

What tasks can AI agents handle for accounting firms like Mowery & Schoenfeld?

AI agents can automate repetitive tasks such as data entry, document classification, and initial client onboarding. They can also assist with tax preparation by gathering necessary information, performing preliminary calculations, and flagging potential issues for human review. In audit engagements, AI agents can analyze large datasets to identify anomalies and patterns, significantly speeding up the process. For client communication, AI can manage routine inquiries and appointment scheduling, freeing up staff for more complex advisory work. These capabilities are transforming operational efficiency across the accounting sector.

How do AI agents ensure data security and compliance in accounting?

Reputable AI solutions for accounting are designed with robust security protocols, including encryption, access controls, and audit trails, aligning with industry standards like SOC 2. Compliance is maintained through features that adhere to regulations such as GDPR and IRS guidelines. AI agents can be configured to flag sensitive data and ensure it's handled according to strict protocols. Regular security audits and updates from AI vendors further bolster the security posture. Firms often implement internal governance frameworks to oversee AI deployment and data handling.

What is the typical timeline for deploying AI agents in an accounting practice?

The deployment timeline for AI agents varies based on the complexity of the tasks and the firm's existing IT infrastructure. For specific, well-defined tasks like document processing or data extraction, initial deployment and integration can range from a few weeks to a couple of months. More comprehensive solutions involving multiple workflows or integration with core accounting software may take 3-6 months. A phased approach, starting with a pilot program for a single function, is common for larger firms to manage change and ensure successful adoption.

Can accounting firms start with a pilot program for AI agents?

Yes, pilot programs are a common and recommended approach for accounting firms to test AI agent capabilities. A pilot typically focuses on a specific department or a limited set of tasks, such as accounts payable processing or client query handling. This allows the firm to assess the AI's performance, identify integration challenges, and measure the initial impact on efficiency before a wider rollout. Pilot phases usually last 1-3 months, providing valuable data for decision-making.

What are the data and integration requirements for AI agents in accounting?

AI agents require access to structured and unstructured data relevant to their assigned tasks. This often includes financial statements, client records, tax documents, and communication logs. Integration typically involves connecting the AI platform with existing accounting software (e.g., QuickBooks, Xero, NetSuite), document management systems, and CRM platforms. APIs are commonly used for seamless data flow. Firms must ensure data quality and accessibility for optimal AI performance. Data preparation and initial integration can represent a significant portion of the setup effort.

How are accounting staff trained to work with AI agents?

Training typically focuses on how AI agents augment human capabilities rather than replace them. Staff are trained on how to interact with the AI, interpret its outputs, and handle exceptions or complex cases that the AI flags for review. Training programs often include modules on understanding AI's limitations, ethical considerations, and best practices for data input. Vendor-provided training, internal workshops, and ongoing support are standard. For firms with 100-300 employees, a dedicated training period of 1-4 weeks for relevant teams is common.

How do multi-location accounting firms benefit from AI agents?

AI agents offer significant operational lift for multi-location firms by standardizing processes and ensuring consistency across all branches. Tasks like client onboarding, billing, and document management can be automated and managed centrally, reducing variations in service delivery. AI can also provide consolidated reporting and analytics on firm-wide performance. This standardization and efficiency gain can lead to substantial cost savings, often in the range of $50,000-$150,000 per location annually, by reducing manual effort and errors across the network.

How is the Return on Investment (ROI) of AI agents measured in accounting?

ROI for AI agents in accounting is typically measured by tracking key performance indicators (KPIs) related to efficiency, accuracy, and client satisfaction. Metrics include reduction in processing time for specific tasks (e.g., invoice processing time reduced by 30-50%), decrease in error rates, improved staff utilization (allowing staff to focus on higher-value advisory services), and faster client response times. Cost savings from reduced manual labor and overhead are also primary ROI indicators. Firms often benchmark these improvements against pre-AI deployment performance.

Industry peers