Article: Leveraging Generative AI
Beyond the Hype: 3 Practical Ways Enterprises Can Leverage Generative AI in 2025
Every enterprise today is handicapped by challenges like siloed information, pressure to innovate faster, and high development costs. Your return on an AI investment depends on the context in which you implement it. Here are three practical ways to leverage Generative AI for sustainable business value.
1. Unlock Your Internal Knowledge The most immediate, high-value use case for Generative AI is solving the "siloed information" problem. By implementing an AI-powered internal knowledge system, you can create a single, conversational interface for your entire company's institutional knowledge, improving decision-making and accelerating onboarding.
2. Automate High-Value, Complex Workflows The second application is to move beyond simple automation and use AI Agents to handle multi-step, complex workflows. This directly addresses the pressure to innovate faster and operate more efficiently by automating high-value cognitive tasks like financial analysis or supply chain logistics.
3. Build a Strategic AI Center of Excellence (COE) To implement these first two "ways" responsibly and at scale, a COE is non-negotiable. This vital engine for innovation is built on three interconnected pillars:
Strategic Direction & Value Creation to ensure AI solves real business problems.
Responsible AI Governance & Operational Excellence to establish essential guardrails for risk, compliance, and security.
AI Capability Building & Adoption Enablement to empower your people with the skills and support needed to leverage AI effectively.
Conclusion Realizing the value of Generative AI requires moving beyond the hype and focusing on practical, strategic implementation. By focusing on these three areas, any enterprise can begin its journey toward a more efficient and intelligent future.
To explore a detailed operational plan for building an AI COE, you can download my comprehensive Executive's Playbook here.