Infor bet on orchestration of AI to overcome scalability bottlenecks

Infor has just introduced new artificial intelligence orchestration tools, including the Velocity Suite and AI agents for industries such as manufacturing and logistics. The announcement coincides with a research that exposes a critical market problem: most companies still struggle to get out of the pilot project phase and scale the AI for real operations. According to the study cited by original source, less than 20% of organizations manage to bring prototype AI initiatives to large-scale production.

What is the Velocity Suite in the orchestration of AI?

The Velocity Suite is a set of tools that allow you to orchestrate AI models, data and business processes in a unified way. Instead of managing each AI application alone, Infor's solution creates intelligent workflows that connect from demand forecast to delivery routing. Industry-specialized AI agents — such as supply chain and manufacturing — can perform autonomous tasks such as reordering stocks or adjusting production lines in real time, always within predefined business rules.

Gargals in AI scalability: Why companies fail?

The research published along with the launch points to three main barriers: lack of integration between legacy systems, fragmented data and lack of clear governance. Many companies create dozens of proofs of concept, but cannot replicate them because data silos prevent models from learning from consolidated information. In addition, the complexity of monitoring and orchestrating multiple AI models in production — each with its own data pipeline and retraining — overloads engineering teams.

This scenario echoes what we see in other areas of technology. As the article on [the hallucinating rhythm of AI releases generating FOMO on users](/noticias/ritmo-alucinante-de-lancamentos-de-ia-gera-fomo-em-usuarios-diz-chefe-de-produto-do-claude-code recently showed), the market is saturated with new tools, but real implementation remains the biggest challenge.

AI orchestration solves scalability bottlenecks

The orchestration of AI, proposed by Infor, attacks exactly these points. Instead of treating each model as an island, the platform offers a central hub that manages requests, versioning, security and performance logs. With this, a company can, for example, combine a demand forecast model with an automated purchasing agent and a routing system — all synchronized via APIs and events. Infor states that the Velocity Suite reduces the time required to put a model into production by eliminating integration rework by up to 40%.

Impact of AI orchestration on Brazilian companies

For the Brazilian market, the novelty comes at a time when local industries seek to digitize operations without dramatically increasing complexity. Orchestration simplifies the adoption of AI in sectors such as agribusiness, logistics and manufacturing, where interoperability with legacy systems (such as ERPs and MES) is critical. Infor already has presence in Brazil with customers in manufacturing and distribution, and the new tool can enable AI projects that were previously unfeasible for requiring teams specialized in MLOps.

Frequently Asked Questions

Does the Velocity Suite replace the Infor ERPs?

Nope. The Velocity Suite is an additional layer of orchestration that integrates with ERPs and other Infor systems, enhancing automation with AI without replacing existing platforms.

Is the research cited public?

The research was conducted by a partner consultancy of Infor and released along with the announcement. The complete data is not publicly available, but Infor shared the main insights in the official statement.

Do industrial AI agents work offline?

Depends on the configuration. Agents can operate with local data and edge decisions (edge computing), but for retraining and model updates periodic cloud connectivity is recommended.