Infor, an enterprise provider of cloud software solutions specialized for how industries actually work, has unveiled its Infor Industry AITM architecture and the next evolution of Infor Velocity Suite, which includes personalized adaptive user experiences, new governance models across customers’ entire enterprise, and more Industry AI agents.
This next phase of Infor’s evolution responds to needs that generic ERP and AI cannot meet. Backed by the second edition of the Infor Enterprise AI Adoption Impact Index, proprietary research surveying more than 2,000 business decision-makers across seven markets, including 789 across Australia, Japan and Singapore, finds that most businesses believe generic AI tooling cannot deliver on their AI ambitions.
In APJ, this challenge is playing out across a sharply divided landscape: Singapore and Australia are translating stronger AI foundations into wider deployment and greater efficiency, while Japan remains constrained by gaps in operational capability, data readiness, governance ownership and cost clarity.
Despite these differences, more than 1 in 2 APJ businesses say generic AI falls short of their industry’s needs. The finding points to a common post-adoption challenge: as businesses move from experimenting with AI to deploying it across core processes, generic tools struggle to accommodate specialised workflows, industry data and regulatory requirements. Infor Industry AI reinforces Infor’s commitment to developing industry-specific solutions built for the specific complexities and operational realities of a defined set of industries.
The platform architecture is built to help close the value void, the gap between what technology can promise and what companies achieve, and power every business to become an agentic enterprise, where people and agents work as one coordinated team.
As AI deployment accelerates, businesses need expert agents they can trust to act, and trust only scales when those agents are coordinated across the enterprise rather than operating as isolated point solutions. Infor’s Industry AI agents are built with industry-specific context already in place, reducing the errors and guesswork that come with generic AI, using tokens efficiently, and shortening the path from deployment to value.
“Everyone has the same AI models now. What matters is what those models know about your business,” said Kevin Samuelson, CEO, Infor. “Customers keep telling us that general-purpose AI doesn’t get the details of their world, like how a food manufacturer traces a bad lot back through its suppliers, or how a distributor has to reprice when freight costs jump. Our agents have access to our deep industry context to deliver precise and valuable outcomes.”
“APJ is moving at very different speeds on AI, but every market still has foundations to strengthen. Governance cannot be deferred as AI assumes greater responsibility, and generic AI will not deliver the precision complex industries require. Bridging the region’s maturity gaps means addressing both from the outset so businesses can translate AI investment into greater impact, efficiency and measurable value,” said Geoff Thomas, Senior Vice President and General Manager, Asia Pacific and Japan, Infor.
“AI only matters when it creates real value,” said Alicia Thompson, CTO, Team Air Distributing. “Infor has kept pace with our ambitions, pairing Infor Industry AI Agents with Forward Deployed Engineers who understand our industry and work as an extension of our team. Together, we’re reducing manual work and turning operational challenges into practical improvements, building trust one process at a time.”
“The next phase of enterprise AI will be defined not by access to models, but by how effectively organizations apply AI within the context of their industry and business processes,” said Shashi Bellamkonda, Principal Research Director at Info-Tech Research Group. “Infor’s focus on industry-specific intelligence, interoperability, and embedded governance addresses several of the practical barriers organizations face as they move from AI experimentation to trusted, measurable outcomes.”
Infor Industry AI is organized around four platform pillars:
Precise Outcomes— An expanded suite of Industry AI agents with true micro-vertical AI expertise grounded in deep industry logic. Rather than reasoning from a generic, horizontal model, Infor’s Industry AI agents draw on Industry CloudSuites, Industry Process Catalogs, and industry-specific domain language models built from decades of in-house expertise. Customers using this layer see shipments processed up to 60% faster. Paired with Industry AI Agents, the Infor GenAI Knowledge Hub provides customers with the depth of Infor’s application and industry knowledge to build custom AI Agents, now open to general availability.
Open & Connected — An interoperable architecture that extends across the customer’s full ecosystem, not just Infor. Infor’s modular, open platform connects to non-Infor applications and existing orchestration and analytics tools, so customers are not required to standardize on a single vendor’s stack. Agents coordinate as one system through Infor IQ, the semantic layer that gives every agent a consistent understanding of the customer’s business, with a catalog of more than 350 value-driven use cases available out of the box.
Easy to Use — Adaptive UX includes a personalized, AI-assembled experience that meets people in the tools they already work in. Infor’s Adaptive UX pulls what a decision requires, such as the bill of materials, quoted price, and delivery date, into a single role-aware view instead of ten screens across multiple applications, so users review and act in one step. Customers can work through the Infor GenAI Assistant or through the AI assistants they have already adopted, with no requirement to standardize on one. Customers are seeing up to 90% time savings across procurement, supply chain, manufacturing, and sales workflows.
Governed—Enhanced Infor Governance, Risk, & Compliance capabilities bolster enterprise-grade security, governance, and auditability from the ground up. Human-approval workflows, agentic permission structures, and audit trails run throughout Infor’s orchestration layer, enabling customers to have critical benefits like accountability and traceability natively built into the architecture.
Every agent action runs through a governance, risk, and compliance layer built into the core of the Infor Industry Cloud Platform with explainable AI logic and verifiable, immutable logging of every action taken. Customers see up to a 90% reduction in auditing costs tied to access management.
Enterprise AI Adoption Impact Index: What Businesses Are Telling Us
Infor is also releasing the second edition of the Infor Enterprise AI Adoption Impact Index, surveying business decision-makers across seven markets, including Australia, Japan and Singapore. The data found that businesses’ investment in AI is outpacing efficiency gains, which Infor credits to the post-adoption gap often created by traditional AI and ERP solutions.
