Persistent And IIM Ahmedabad Launch AI Framework To Align Business And Technology

On May 20, 2026, Persistent Systems and the Indian Institute of Management Ahmedabad (IIMA) unveiled the AI Value Compass, a research-backed framework designed to help enterprises prioritize and scale AI initiatives responsibly. The model addresses challenges enterprises face when shifting from experimentation to large-scale AI deployments.

Framework Dimensions

• Business Alignment: Ensures AI projects directly support strategic goals such as customer engagement, supply chain efficiency, or product innovation.
• People Readiness: Focuses on workforce capability, leadership ownership, and reskilling to integrate AI into daily operations.
• Operational Integration: Encourages modular adoption to embed AI across departments without disrupting workflows.
• Data Preparedness: Stresses the importance of robust data infrastructure and quality for reliable AI outcomes.
• Risk And Governance: Establishes mechanisms for bias detection, compliance, and ethical deployment.

Why Enterprises Need It

Research shows many organizations struggle with fragmented AI initiatives, weak governance, and unclear leadership structures, limiting long-term value. The AI Value Compass helps identify readiness gaps early, prioritize high-impact projects, and improve predictability in AI-led outcomes. 

India’s AI Adoption Context

According to Deloitte’s 2026 State of AI report, Indian enterprises lead global peers in at-scale AI adoption, with 62% deploying AI in product development and 56% in strategy and operations. However, expertise gaps remain, making frameworks like the AI Value Compass critical for sustainable scaling. 

Key Highlights

•⁠  ⁠Persistent Systems and IIM Ahmedabad launch AI Value Compass framework

•⁠  ⁠Evaluates AI projects across five dimensions: alignment, readiness, integration, data, governance

•⁠  ⁠Addresses challenges of fragmented pilots and weak organizational structures

•⁠  ⁠Helps enterprises prioritize high-impact AI initiatives and improve predictability

•⁠  ⁠Indian enterprises lead globally in AI adoption but face expertise gaps

•⁠  ⁠Framework supports measurable business outcomes and responsible scaling

Sources: TechCircle, BW Education, Deloitte India