
Enterprise Adoption Strategy for Generative AI
Description
Enterprises are at an inflection point in the adoption of Generative AI, transitioning from experimentation to strategic integration. The report examines how global firms operationalize GenAI to drive value across marketing, customer service, software development, and decision intelligence. Adoption is accelerating, with 64% of large enterprises piloting or scaling GenAI by 2025.
The study identifies four key adoption barriers: data readiness, governance risk, cost uncertainty, and model reliability. It maps enterprise maturity stages and presents frameworks for aligning GenAI with corporate strategy, emphasizing ROI measurement, TEVV (Testing, Evaluation, Verification, and Validation), and responsible AI design.
Combines insights from Gartner, McKinsey AI Index, and industry case studies from Microsoft, Adobe, and IBM. Includes maturity benchmarking tools and model governance templates for enterprise deployment.
Table of Contents
19 Pages
- 1. Executive Summary
- 2. The Enterprise AI Adoption Lifecycle
- 3. GenAI Use Cases and Sector-Specific Impact
- 4. Implementation Models and Infrastructure Strategy
- 5. Governance, Risk, and Ethics Framework
- 6. Strategic Roadmap for Adoption (2025–2030)
Search Inside Report
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.