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.”

That question has been central to IIR’s research model for more than four decades. Lewis founded the company around a straightforward but demanding principle: industrial intelligence should be verified directly with the people closest to the assets and projects being tracked. Today, IIR provides market intelligence across energy, power, oil and gas, chemicals, and heavy industrial sectors, with hundreds of in-field researchers directly contacting plants and companies to verify and continuously update information.

IIR’s human research model is taking on new significance as businesses race to incorporate AI into research, planning, and strategy.

What Improves the User’s Experience

Work that once meant opening several databases, exporting reports, and reconciling information by hand can happen within a single conversation. Because responses are source-cited, users can trace information back to the underlying IIR records rather than treating the output as a black box.

With IIR’s EnvoyTM MCP connector, a client’s enterprise LLM subscription is connected to IIR’s phone-verified, trusted data in real time — without IIR accessing the client’s internal LLM environment. The MCP acts as a live data pipe, feeding verified proprietary data directly into the user’s LLM workflow. Clients can also commingle IIR’s data with their own internal data sources and other external MCP connections, creating uniquely personalized answers.

For subscribers, that changes how industrial intelligence can enter the decision-making process. A planner scoping a turnaround might ask which U.S. Gulf Coast refinery units are scheduled to come offline next quarter. A supplier qualifying a prospect could ask what capital projects a company is advancing. An investor could evaluate activity within a particular market or geography, while a sales professional could ask who owns and operates a specific plant location.

IIR EnvoyTM MCP allows IIR’s intelligence to coexist with other internal and external sources that businesses already rely on, including internal CRM, procurement, planning, and third-party data sources. That creates the opportunity for AI to work across multiple sources in the same workflow instead of requiring users to manually move between systems and reconcile the information themselves.

“Most people don’t just use one data source,” Lewis said. “They use multiple sources to get their business done.”

For a company evaluating a new opportunity, for example, IIR project and plant intelligence could be considered alongside information already stored in a client’s CRM or internal planning systems. A procurement team could compare external market activity with internal supplier information, while a strategy team could bring IIR data together with its own forecasts and assumptions. The value is not simply faster access to one source of information, but the ability to bring relevant information together at the point where a decision is being made.

AI Is Only as Reliable as Its Sources

Much of the enterprise AI race has focused on models and what they are capable of doing. Lewis argues that organizations may progressively find that the technology itself is only part of the equation.

“Trusted data is to AI as high-octane gasoline is to an engine,” Lewis said. “Without it, performance falls flat.”

“To me, trusted data means phone-verified, quality-controlled data,” he added. “Data that cannot be replicated by a single scrape.”

That distinction is particularly important because IIR is not using AI to replace the human research behind its intelligence. Instead, researchers continue to contact plant operators and companies directly while verifying information and continuously updating records as projects and operating conditions change. AI changes how that information can be accessed and used, but it does not replace the process used to establish its quality.

“We’re not trying to alleviate the human element,” Lewis said. “We want to keep the human-in-the-loop ingrained in the process. While other data companies are replacing their researchers with the use of AI agents, we are dedicated to expanding our internal human research network across the world to support the quality of the data we provide to our clients. The human element absolutely has to stay in the process.”

The Competitive Advantage May Be What AI Knows

As sophisticated AI models become more widely accessible, the information connected to those models may also become a more important source of differentiation. Companies may be able to use many of the same underlying AI technologies, but they will not necessarily have access to the same information, research processes, or proprietary datasets.

For organizations making decisions about capital investments, procurement, market entry, supply chains, plant operations, or sales strategy, provenance matters. It matters where the information came from, how recently it was verified, and whether there is a reliable source behind the answer being presented.

That is ultimately what Lewis sees as one of the defining characteristics of the Answer Age.

“It’s where answers are derived from the convergence of structured and non-structured data from various sources,” he said.

The Information Age gave businesses unprecedented access to data. The technologies that followed made that information easier to search, organize, and interpret. The Answer Age represents another shift, one in which users can begin with a business question and receive a useful answer without manually assembling every piece of information themselves.

The speed of that process makes the quality of the underlying information more important, not less. IIR has spent more than 40 years building industrial intelligence through direct human research and verification. With IIR EnvoyTM MCP, that intelligence can now be brought directly into the AI tools where more companies are beginning to research, plan, analyze, and make decisions.

As Lewis puts it, “AI is changing how industrial organizations make decisions, but AI is only as good as the data behind it.”

In the Answer Age, that will be the distinction that matters most.

About Industrial Info Resources:

For more than 40 years, Industrial Info Resources has delivered industrial market intelligence that powers decisions across the energy, power, oil and gas, chemicals, and heavy industrial sectors. Every record is verified through primary research conducted by experienced researchers who contact plants directly. Headquartered in Sugar Land, Texas, IIR supports customers worldwide through its global research footprint. To learn more, visit www.industrialinfo.com or www.iirenergy.com.

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