EdgeVerve wants you to stop layering tools and start orchestrating outcomes

Enterprise CIOs/CTOs have spent the last decade layering clouds, ERPs, dozens of workflow tools, and, of late, point AI solutions on top of heavily fragmented estates. The result is platform fatigue and a one-way ticket to AI POC purgatory, where AI at scale remains a dream. EdgeVerve’s answer, showcased at its 2025 customer and partner event, is its AI Next platform that acts as an orchestration layer across data, processes, and agents. AI Next aims to help enterprises transition from being “managed by software” to being “run by software,” where CXOs can task people to focus on judgment, exceptions, and growth rather than integrating systems.

EdgeVerve’s AI orchestration pitch is not just conceptual, but in production and delivering results

AI Next acts as a single platform that integrates data, AI, process, and experience layers across fragmented, legacy estates, prolonging the life of legacy ERPs and preventing another multi-vendor integration program just to get AI into production. This pitch is not all marketing jingo. It is supported by a coherent architecture under the hood, aligning with how enterprises are actually using AI today. The platform consists of:

• A data and semantic layer that connects enterprise data across multiple systems of record and harmonizes formats into a language that AI and agents can act upon, circumventing replication and traditional extract, transform, load (ETL) challenges.
• A neural connect/AI lifecycle layer for defining use cases, testing, deploying, monitoring, and governing production models in a PolyAI environment, where enterprises can mix hyperscaler models and partner AI and use multiple models per process step rather than betting the farm on a single LLM.
• A process and experience orchestration layer that sits above fragmented core systems to orchestrate end-to-end business flows across legacy stacks, allowing enterprises to delay or avoid disruptive ERP consolidation and still modernize how work gets done.
• An emergent agent control plane for securely governing and orchestrating agents across Microsoft, AWS, Google, and third-party ecosystems while ensuring control and auditability.

So what sets AI Next apart from other platforms is its effort to combine four capabilities:

• A vendor-neutral orchestration layer that sits over multiple ERPs and estates
• A PolyAI control plane that can switch and combine models
• An explicit agent governance layer
• A growing set of domain solutions already running in production

While most AI offerings fall into one of three categories (hyperscaler-native AI services, workflow/automation tools, and point AI apps), AI Next offers a unified orchestration layer, lower TCO, and faster time to value for buyers who are tired of stitching together multiple solutions and vendors.

EdgeVerve demonstrates the value of orchestration, but it must prove independence next

Over 400 customers across multiple verticals and geographies strengthen EdgeVerve’s credentials around the scale of live deployments already in production. Throughout the event, it highlighted how its solutions had a significant impact on marquee customers from various verticals. For example:

• In supply chain and traceability, a large CPG company utilizes the platform to orchestrate legacy systems to comply with the FDA’s 24-hour reporting deadlines for food recalls.
• In operations and customer care, a global shipping client used EdgeVerve to automate operations across 110 countries (about 1 million transactions/month) by integrating 20 core systems and 90 APIs.

These examples prove that EdgeVerve is uniquely positioned to leverage Infosys’ (its parent company) access to enterprise accounts and credibility in large-scale transformation initiatives. Also, this can serve as a powerful springboard for EdgeVerve to expand its influence across the broader ecosystem.

However, to be taken seriously, it must now focus on enhancing its independent identity in the AI platform/product space. The focus should be on strengthening its product-first branding, showcasing success stories beyond Infosys-led engagements, and demonstrating its ability to operate as a true orchestrator by providing governance, commercial flexibility, and roadmap control across multiple GSIs and consultancies. This will allow EdgeVerve to establish itself as the AI orchestration platform of choice for CXOs seeking independence, scalability, and innovation.

If you don’t solve orchestration, AI remains locked in margins

AI remains stuck in POCS because the inability to unify data, processes, and agents hinders traceability gains and faster time-to-market. But scaling AI doesn’t require perfect data. It requires governable, “good enough” data in the relevant domains and an orchestration layer operating on top of existing systems. EdgeVerve offers a credible, production-tested platform for doing exactly that, with demonstrated impact across supply chain, financial services, and complex operations.

On these points, EdgeVerve’s platform and client use cases line up well with HFS’ view of where value will be created in the next AI wave. The question is whether the company can make that story its own, distinct from Infosys, and become the orchestration layer that multiple ecosystems are willing to build on.

The Bottom Line: AI orchestration is the only way to escape platform chaos and scale results. But if your partner can’t operate across ecosystems, you’re just trading one dependency for another.

For CXOs, the message is clear: use platforms like EdgeVerve to re-platform a few critical business flows and watch closely how independent, ecosystem-ready, and future-governed your orchestration partner really is.