Eye on Innovation: Advancing AI Maturity

Why It Matters

Scaling AI from isolated experiments to enterprise impact drives measurable ROI and competitive advantage, making AI maturity a critical strategic priority for modern enterprises.

Key Takeaways

• 88% firms use generative AI in at least one function
• Stage 2‑to‑Stage 3 transition yields greatest financial impact
• Silos and poor data quality block AI scaling
• Anvi links resources, objectives, and dependencies in real time
• Cognizant saw productivity boost and risk mitigation with Anvi

Pulse Analysis

The rapid diffusion of generative AI has pushed most organizations into the pilot phase, yet the leap to enterprise‑wide adoption remains elusive. Research from MIT and McKinsey highlights AI maturity as the decisive factor, with the transition from isolated pilots (Stage 2) to integrated ways of working (Stage 3) delivering the steepest financial upside. The primary obstacles—legacy system integration, data silos, and cultural resistance—stem from a fragmented view of work, where AI tools lack the contextual awareness needed to influence cross‑functional outcomes.

Planview’s Anvi platform addresses these gaps by embedding AI into a comprehensive data fabric that maps the entire work ecosystem. Its Connected Work Graph creates a living, visual representation of how initiatives, resources, and dependencies interrelate, turning spreadsheet‑driven analysis into actionable insight. Conversational AI lets users query complex risk scenarios in natural language, while custom agents automate routine governance tasks, ensuring AI recommendations are both timely and aligned with organizational priorities. This holistic approach transforms AI from a siloed productivity enhancer into a strategic execution partner.

Early adopters illustrate the tangible benefits of this connected intelligence. Cognizant, after establishing a robust portfolio‑management foundation, leveraged Anvi to move beyond experimentation, achieving faster user adoption, heightened delivery productivity, and proactive risk identification. By surfacing real‑time dependency insights and automating status reporting, Anvi reduces coordination overhead and accelerates decision cycles. For enterprises seeking to unlock the full ROI of AI, embracing a connected‑work framework like Anvi is increasingly essential to move from pilot projects to sustained, enterprise‑level impact.