Industrial Info Resources: The Answer Age Starts with Trusted Data

SUGAR LAND, Texas, August 20, 2026--For decades, the defining challenge of business intelligence was access. Companies needed better ways to collect information, organize it, and turn enormous datasets into something useful. Artificial intelligence (AI) is changing that equation by making it possible to move from a question to an answer almost immediately. As that happens, however, a different challenge is taking its place: determining whether the answer is accurate and trustworthy enough to act on.

Ed Lewis, founder and CEO of Industrial Info Resources (IIR), a leading provider of global industrial market intelligence, believes the shift from the Information Age toward an era where AI delivers direct answers signals the beginning of what he calls the "Answer Age."

"I've been trying to get to the Answer Age for 20 years," Lewis said. "What's been a stumbling block is really having the right technology to be able to deliver that answer, and now, with Generative AI and MCP, we have that technology."

Lewis sees the Answer Age as the next progression in how businesses work with information. The Information Age dramatically expanded access to data, while the technologies that followed gave companies sophisticated ways to organize, search, and interpret it. AI takes that progression another step forward by changing the interaction itself. Rather than finding the information and assembling an answer, users can now begin with the question and expect the answer to come to them.

With today's technological advances, the new challenge is asking a question and getting an accurate answer.

IIR Launches MCP Tool to Advance the Answer Age

IIR recently launched IIR EnvoyTM MCP, its branded Model Context Protocol server, which gives authorized AI assistants structured access to IIR's industrial intelligence. Professionals can ask questions in natural language and receive source-cited answers covering capital projects, plants, units and equipment, companies, and planned or unplanned offline events. Instead of relying solely on an AI model's training data or information available on the public web, responses can be grounded in IIR's continuously updated, phone-verified records.

In industrial markets, where a project can be delayed, an operating unit can unexpectedly go offline, ownership can change, or construction schedules can move, stale information can quickly become costly.

"It's not a question of if someone can get an answer," Lewis said. "It's a question of whether the quality and validity of the answer is good enough to base major business decisions on."