Industry context gives AI the foundation it needs to deliver value
In the opening keynote, Gartner's Daryl Plummer and Kristin Moyer described a flywheel of AI momentum that balances growing value with compounding risk. Industry context keeps that flywheel turning, because it helps AI understand how your business actually works.
Our latest research, the Infor™ Enterprise AI Adoption Impact Index, surveyed 2,111 business decision-makers and found that 68% believe off-the-shelf AI does not adequately address the challenges of their industry. That figure reaches 73% in manufacturing and 76% in distribution.
Infor Industry AI™ was designed to help close that gap. Infor focuses on a defined set of industries, so deep industry knowledge is built into the products from the start. As Infor CEO Kevin Samuelson explains, "Everyone has the same AI models now. What matters is what those models know about your business." Four pillars shape how customers experience Infor Industry AI:
- Precise Outcomes: Infor Industry AI Agents draw on Industry CloudSuites, Industry Process Catalogs, and domain language models, and customers are processing shipments up to 60% faster.
- Open & Connected: Agents share one understanding of your business across Infor and non-Infor applications.
- Easy to Use: Role-aware experiences meet people in the tools they already use.
- Governed: Accountability and audit trails are built into the architecture.
Infor Velocity Suite helps you become an agentic enterprise
An agentic enterprise is an organization where AI agents and people work as one coordinated system, with humans approving the decisions that matter most. Many leaders share that goal and want to know where to begin.
Infor Velocity Suite is how we deliver the agentic enterprise. It brings Infor Industry AI Agents, generative AI, process mining, automation, and prebuilt industry use cases together in a single package. Forward Deployed Engineers work alongside your team to discover, build, measure, and expand, so each outcome makes the next one faster. This approach reflects Gartner's human-centered perspective, since agents extend your people with explainable recommendations and humans stay involved where it matters.
Agentic AI changes who builds enterprise software by 2035
Today, Rick Rider, SVP, AI Innovation at Infor, and Douglas Linsmeyer, VP, Technology at PING, presented a session on how agentic AI shortens the path from a business idea to production software. Their 10-year view is that forward deployed engineering becomes a capability every organization builds for itself, and that IT becomes the architect of the builders on the way to an agentic enterprise. Three shifts are worth planning for:
- Business pain points will reach working applications more quickly.
- IT teams will set the architecture, standards, and guardrails while more people build within them.
- The boundary between what vendors build and what customers build will continue to dissolve.
CIOs can begin building this capability today by working with a partner who builds alongside their team and stays accountable for the outcome.
What to do next
- Join us in person on Tuesday, October 20 at 1:15 p.m. for Infor: Skip the AI Strategy Deck. Watch Us Build an AI Roadmap Live with PING Golf, where the Infor AI Adoption Hub builds a personalized AI roadmap in minutes.
- Join our launch event, AI That Moves Your Industry Forward, on October 27.
- Explore the Enterprise AI Adoption Impact Index behind the numbers above.