Enterprise application sprawl creates inefficiencies, hidden costs, and security risks. Rationalize redundant applications, optimize post-M&A portfolios, and streamline IT investments—ensuring the application landscape is lean, cost-effective, and strategically aligned with business goals.

Not every application needs to be modernized, but the right ones do. Pinpoint which systems should be enhanced, migrated, or retired based on business impact, technical health, and cost-benefit analysis—ensuring modernization efforts are high-value, risk-aware, and aligned with long-term business needs.

Custom applications often accumulate technical debt that increases costs and slows innovation. Determine which custom apps should be consolidated, modernized, or replaced—and for those that must be retained, enhance their stability, maintainability, and long-term viability. Reduce future risks while ensuring business-critical applications stay performant and scalable.

AI isn't just about experimentation—it's about knowing where AI can create tangible value. Identify the right opportunities for AI augmentation based on application readiness, data landscape, and business priorities—ensuring AI investments deliver meaningful outcomes and drive adoption, not just hype.