Biglytics Blog

Maximizing ROI with Gen AI Consulting Services

Written by Blogger Bobby | Nov 19, 2025 8:55:41 PM

Explore how generative AI consulting services from The Hackett Group can drive enterprise transformation and deliver measurable ROI.

The Strategic Benefits of Generative AI in Business

Generative artificial intelligence (Gen AI) is revolutionizing the way businesses operate by driving enterprisewide transformation. Companies are leveraging Gen AI to fuel smarter operations, expedite decision-making processes, and achieve unprecedented levels of efficiency. The Hackett Group's Gen AI consulting services deliver end-to-end strategic and execution support to help enterprises explore, implement, and scale AI across core business operations.

One of the primary strategic benefits of Gen AI is its ability to enhance productivity and reduce costs. Studies from The Hackett Group show a potential 40% improvement in quality, productivity, and cost-efficiency from successful Gen AI implementation. Additionally, companies that adopt Gen AI can achieve nearly three times higher ROI in procurement operations compared to traditional methods. This data-driven approach underscores why Gen AI is no longer optional but a strategic lever for transformation.

A Structured Approach to Gen AI Implementation

Implementing Gen AI solutions requires a structured, methodical approach to ensure success. The Hackett Group provides a comprehensive framework that covers everything from strategy development to enterprisewide integration. This structured approach ensures that Gen AI initiatives are aligned with business objectives and deliver measurable outcomes.

The process begins with Gen AI strategy development, where The Hackett Group aligns your AI vision with your strategic business objectives. This phase includes capability assessment, opportunity mapping, and the creation of a practical roadmap to implement and scale Gen AI across the enterprise. Following this, an AI readiness and gap assessment is conducted to evaluate your data, systems, governance, and infrastructure. This assessment uncovers capability gaps and outlines remediation steps, ensuring your foundation is secure and scalable.

Real-World Applications of Gen AI Across Business Functions

Gen AI's versatility allows for its application across various business functions, driving significant improvements in each area. In finance, Gen AI can streamline reporting, forecasting, compliance, and decision support, enhancing efficiency and enabling faster, insight-driven financial management. In human resources (HR), Gen AI supports transformation across the talent lifecycle—from recruitment and onboarding to learning, engagement, and workforce planning.

Supply chain operations can also benefit from Gen AI by optimizing decision-making, improving visibility, and building more resilient, agile operations. The Hackett Group's Gen AI consulting services empower logistics and supply chain teams to integrate AI capabilities into workflows, including planning support, exception management, compliance monitoring, and performance tracking. This integration leads to enhanced operational efficiency across diverse business functions.

Ensuring Data Readiness for Effective AI Deployment

Data readiness is a critical factor in the successful deployment of Gen AI solutions. The Hackett Group conducts thorough data readiness assessments to ensure that AI initiatives are grounded in a robust data foundation and aligned with enterprise goals. These assessments identify foundational gaps in quality, governance, architecture, and integration.

By addressing these gaps, organizations can ensure that their AI deployment is effective and scalable. The Hackett Group provides targeted assessments and strategic guidance to help enterprises prepare their data landscape for AI deployment, ensuring that the data is clean, well-governed, and integrated. This approach guarantees that AI initiatives are built on a solid foundation, leading to better outcomes and higher ROI.

Choosing the Right Technology for Gen AI Solutions

Selecting the optimal technology stack is crucial for the success of Gen AI solutions. The Hackett Group's expertise across the full spectrum of AI domains allows them to strategically select and deploy the technologies that best solve unique business challenges. Whether it's retrieval-augmented generation (RAG), prompt engineering, model fine-tuning, or domain adaptation, The Hackett Group ensures that the chosen solutions are secure, scalable, and aligned with business objectives.

Technology selection involves assessing key factors such as performance, response speed, cost efficiency, and customization capabilities. For instance, when a large language model (LLM)-based solution aligns with a use case, The Hackett Group selects the optimal model by evaluating these critical factors. This ensures that the technology not only meets the immediate needs of the business but also supports long-term scalability and efficiency.

Responsible AI Practices for Sustainable Outcomes

Responsible AI practices are essential for ensuring that Gen AI solutions are ethical, compliant, and sustainable. The Hackett Group prioritizes robust security, compliance, and governance in every Gen AI project. This approach ensures that AI initiatives protect sensitive data, meet all relevant regulations, and follow strict governance and ethical best practices.

Establishing AI Centers of Excellence (CoEs) is one way The Hackett Group helps organizations drive adoption, governance, and knowledge sharing. These CoEs provide the structure, standards, and oversight needed to scale Gen AI responsibly. By fostering an environment of continuous innovation and alignment with enterprise strategy, compliance, and operational efficiency, The Hackett Group ensures that AI initiatives deliver sustainable outcomes.

In conclusion, Gen AI consulting services from The Hackett Group offer a comprehensive approach to enhancing enterprise performance. By leveraging strategic benefits, a structured implementation framework, real-world applications, data readiness, technology selection, and responsible AI practices, organizations can achieve significant ROI and drive enterprisewide transformation.