CohnReznick Executive Advises Strategic AI Implementation Over Hasty Adoption

CohnReznick's national sales director Sabrina Quinn emphasizes that businesses should adopt AI strategically by first identifying specific problems rather than rushing implementation, highlighting the importance of risk management and leveraging existing tools.

September 22, 2025
CohnReznick Executive Advises Strategic AI Implementation Over Hasty Adoption

CohnReznick, the century-old accounting and consulting firm, is advising businesses to take a measured approach to artificial intelligence implementation rather than rushing adoption for its own sake. According to Sabrina Quinn, national sales director at CohnReznick, companies should first identify specific business challenges before determining if AI represents the appropriate solution. This strategic methodology aims to help organizations make better decisions while navigating the rapidly evolving technological landscape.

Quinn emphasized that businesses operating in today's dynamic environment, often referred to as the Fourth Industrial Revolution, face significant risks when implementing AI without proper planning. Companies that hastily roll out AI technologies may become vulnerable to emerging cyber threats, changing regulatory requirements, and compliance issues. However, Quinn clarified that this cautious approach doesn't mean businesses should avoid AI altogether, but rather implement it through thoughtful, deliberate strategies.

For companies considering AI adoption, CohnReznick recommends starting with applications they already use regularly. Many existing software platforms, from customer relationship management systems to project management tools, now incorporate built-in AI capabilities that can enhance productivity. Quinn described this approach as embedding AI into daily use cases rather than treating it as a transformative hammer. She compared it to having an administrative assistant through tools like Copilot, where AI functionality integrates seamlessly into existing workflows.

CohnReznick practices this methodology internally through what Quinn calls a use case hackathon within their sales and marketing teams. Employees identify recurring challenges in their day-to-day operations and then explore how AI can address these specific issues. This approach has proven particularly effective for veteran sales professionals who may be resistant to change, as they quickly recognize how AI can improve efficiency and enhance customer interactions when applied to concrete problems.

The firm has developed practical AI applications for client services, including the RQ Trim tool, which helps manufacturing, distribution, life sciences, and financial companies manage risks related to tariffs, inflation, and supply chain volatility. Clients complete a brief survey with financial inputs, and the AI model generates actionable strategies and executive-ready insights. Quinn explained that this tool helps businesses transition from stagnation to acceleration by providing clear guidance through uncertain economic conditions.

Across time zones and regions, CohnReznick's sales and marketing department utilizes AI to maximize preparation for client meetings despite limited personnel resources. This practical application demonstrates how AI can enhance organizational efficiency without requiring massive technological overhauls. The firm's approach underscores that successful AI implementation involves identifying specific pain points and applying targeted solutions rather than pursuing broad, transformative changes that may introduce unnecessary risks or complications.