CohnReznick Executive Advises Strategic AI Implementation for Business Success
TL;DR
CohnReznick's strategic AI approach gives businesses a competitive edge by identifying specific problems before implementation to maximize efficiency and minimize risks.
CohnReznick recommends starting with existing software's built-in AI features and conducting use case hackathons to systematically identify and address business challenges.
CohnReznick's thoughtful AI implementation helps businesses make better decisions that improve operations and create more stable, efficient organizations for employees and customers.
CohnReznick developed an AI tool that transforms a twelve-minute financial survey into actionable tariff and supply chain risk strategies for manufacturers.
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Businesses should approach artificial intelligence implementation with strategic caution rather than rapid adoption, according to Sabrina Quinn, national sales director at accounting and consulting firm CohnReznick. In a recent interview, Quinn emphasized that companies should first identify specific business challenges before determining if AI represents the appropriate solution. This measured approach helps organizations avoid potential cybersecurity vulnerabilities, regulatory compliance issues, and ineffective technology investments that can arise from hasty AI deployment.
CohnReznick, which has provided accounting, risk management, and digital transformation services for over a century, recommends that businesses begin their AI journey by leveraging existing applications. Most customer relationship management and project management software already contain built-in AI capabilities that can enhance productivity without requiring significant transformation. Quinn describes this approach as embedding AI incrementally into daily operations rather than implementing dramatic technological overhauls. The company itself is conducting what Quinn calls a use case hackathon within its sales and marketing teams, identifying routine challenges and applying AI solutions to improve efficiency.
The consulting firm has developed practical AI applications for client risk management, particularly through its RQ Trim tool. This AI-powered platform helps manufacturing, distribution, life sciences, private equity, and financial services companies navigate economic uncertainties including tariffs, inflation, and supply chain volatility. Clients complete a twelve-minute survey with financial inputs, and the AI model generates actionable strategies and executive-ready insights. The tool enables businesses to quantify risks, mitigate impacts, and optimize performance during periods of economic instability.
Quinn notes that AI implementation requires careful change management, particularly with experienced professionals accustomed to established workflows. However, when employees see how AI can enhance customer interactions and improve efficiency, adoption typically follows. The technology also helps organizations with limited resources operate more effectively across time zones and regions. CohnReznick's approach demonstrates how businesses can leverage AI for practical problem-solving rather than technological experimentation, positioning companies for sustainable growth in an increasingly digital business environment.
Curated from NewMediaWire
