Why AI matters at this scale

Cherry Bekaert is a prominent accounting and advisory firm serving mid-market and growing businesses. With over 1,000 professionals, the firm provides audit, tax, and consulting services where accuracy, compliance, and strategic insight are critical. At this scale—large enough to have complex data flows but agile enough to implement targeted changes—AI presents a pivotal lever for competitive differentiation. The industry is at an inflection point: routine compliance work is becoming a commodity, while client demand for predictive analytics and strategic counsel is rising. For a firm of this size, AI adoption is not about replacing professionals but augmenting them, automating the repetitive to elevate the firm's value proposition from historical reporting to future-focused advising.

Concrete AI Opportunities with ROI Framing

1. Audit Process Automation: Deploying AI for continuous monitoring and testing of client transactional data can dramatically reduce the manual hours spent on sample-based testing. Natural Language Processing (NLP) can review contracts and lease agreements to ensure proper accounting treatment. The ROI is direct: a 20-30% reduction in low-level audit work translates to significant labor cost savings and allows staff to focus on complex judgment areas, improving audit quality and enabling the firm to handle more clients with the same team.

2. Intelligent Tax Compliance: AI models can track federal, state, and local regulatory changes in real-time and map them against client portfolios to identify potential liabilities or savings opportunities. This shifts tax work from reactive compliance to proactive planning. The ROI manifests in higher-margin advisory fees, reduced risk of penalties for clients, and strengthened client retention by positioning the firm as a strategic partner.

3. Enhanced Advisory Services: An AI-powered insights platform can analyze aggregated, anonymized data across the firm's client base to identify industry trends, benchmark performance, and generate predictive forecasts. Consultants can use these insights to provide data-driven strategic recommendations. The ROI is in business development: it creates a scalable, proprietary knowledge product that attracts new clients and commands premium fees for specialized advisory engagements.

Deployment Risks Specific to This Size Band

For a firm with 1,001-5,000 employees, key risks include integration complexity and change management. The firm likely uses a suite of legacy and modern systems (e.g., audit platforms, tax software, CRM). Integrating AI tools without disrupting existing workflows requires careful API strategy and potentially a middleware layer. Secondly, with a large team of skilled professionals, there is risk of cultural resistance or skill gaps. A successful rollout depends on transparent communication that AI is a tool for augmentation, not replacement, and must be paired with significant upskilling initiatives. Finally, at this scale, data governance becomes paramount. Using client data for AI training must be meticulously managed to uphold confidentiality agreements and comply with strict professional standards, necessitating robust data anonymization and security protocols.