By Jason Marceau, Head of Product Solutions, data²

TL;DR

• Permitting has shifted from a regulatory checkbox to a strategic capability that determines how fast the U.S. can build energy, data centers, and manufacturing infrastructure.

• Reforms like FAST-41 and NEPA modernization address process, but the deeper bottleneck is fragmented information across agencies.

• Digitizing forms and portals hasn't fixed decision-making. Reviewers still last the context to connect regulations, stakeholders, and project data.

• Decision Intelligence unifies fragmented permitting data into one explainable decision environment, surfacing risks and dependencies earlier.

• The future of permitting is a connected decision ecosystem, not faster paperwork.

Why Has Permitting Become a Strategic National Capability?

For decades, permitting was treated as a regulatory function, a step projects cleared before construction could start. Whether the project involved energy production, transmission infrastructure, transportation systems, mining, manufacturing, or commercial development, permitting sat in the back office. It was administrative, not strategic.

That's changing.

The U.S. is entering a period of sustained infrastructure demand. Artificial intelligence is driving growth in hyperscale data centers. Electrification is straining generation and transmission systems. Domestic manufacturing is expanding. Critical minerals development has become a national priority. Every one of these priorities depends on the same thing: the ability to permit projects efficiently.

The numbers show why speed has become a competitive advantage. Environmental impact statements completed between 2021 and 2024 took a median of 2.4 years from notice of intent to final EIS, according to the Council on Environmental Quality, with only 39 percent finished within two years. Environmental assessments have historically run close to a year. For a hyperscale data center or transmission line, that timeline can outpace the market it was built to serve.

Delays don't stay contained to one project. They ripple into financing decisions, workforce planning, supply chain investment, and construction schedules. Permitting is no longer a compliance checkbox. It's one of the clearest levers on how fast a country can build.

How Has Policy Reform Shaped Permitting Modernization?

Policymakers have spent the last several years trying to fix permitting through legislative and regulatory reform. FAST-41, NEPA modernization, lead agency models, coordinated permitting frameworks, and recent executive actions on technology modernization all aim to cut unnecessary delay while preserving environmental protection and public trust. See how Decision Intelligence supports energy and infrastructure decisions.

These reforms matter because they acknowledge something both government and industry already know: permitting rarely functions as one coordinated process. It functions as a stack of disconnected reviews.

Why Permitting Functions as Disconnected Systems, Not a Single Process

A single project can move through review by the Federal Energy Regulatory Commission, the EPA, the Bureau of Land Management, and the Army Corps of Engineers, each working from its own systems, timelines, and datasets. Add tribal governments, state regulators, utility operators, and local communities, and the coordination problem multiplies.

FERC's own data makes the case. Of the 2,179 interconnection studies completed in 2022, 68 percent were issued late, a symptom of a serial, first-come-first-served review model where each study started from scratch. FERC Order 2023 replaced that model with cluster studies, reviewing groups of projects together instead of one at a time, and added financial penalties for missed deadlines. The fix wasn't more paperwork. It was giving reviewers shared context on interconnected projects earlier, so shared costs and conflicts surfaced before they became delays. That's the same principle Decision Intelligence applies to permitting more broadly.

Even with strong policy intent, the underlying information environment often stays fragmented. Agencies work from different sources of truth. Applicants resubmit the same data to multiple reviewers. Stakeholders can't see project status, dependencies, or emerging risk. The challenge facing permitting today is no longer mainly a policy problem. It's an information and decision-making problem.

Why Digitization Alone Isn't Fixing Permitting Delays

Most modernization spending has gone toward digitization: electronic forms, online portals, workflow systems, document repositories. These investments have real value. They also don't touch the root cause of delay.

Digitizing a process doesn't change how a decision gets made. The biggest delays in permitting rarely happen because a document is stuck moving between systems. They happen because reviewers can't easily see how regulations, environmental conditions, stakeholder input, and project requirements relate to each other. That complexity grows every year as projects span more jurisdictions and more agencies.

A transmission project might require sign-off across federal agencies, state regulators, tribal governments, utility operators, environmental groups, private landowners, and local communities. Each party holds a piece of the picture. Most of those pieces sit in separate systems, reviewed in isolation. The problem isn't a shortage of data. It's the absence of context connecting that data to the decision at hand.

What's the difference between permitting digitization and Decision Intelligence? Digitization moves permitting documents into electronic portals and workflow tools, improving administrative efficiency. Decision Intelligence goes further. It connects the underlying data, relationships, and history behind a permitting decision, so agencies understand not just what decision to make, but how that decision affects everything connected to it.

How Is Customer Experience Reshaping Permitting Expectations?

Permitting systems were built around agency workflows, not applicant experience. Applicants were expected to learn regulatory requirements, coordinate across organizations, and navigate approval paths with little visibility into timelines or dependencies. Uncertainty was just part of the deal.

That's no longer acceptable to the people footing the bill. Applicants, investors, communities, and policymakers want transparency, predictability, and a clear view of how a project moves from concept to approval. They want to see milestones, risks, and dependencies as they emerge, not after they've already caused a delay.

This shift reflects something bigger: permitting isn't just a government process. It's a shared ecosystem of public agencies, private developers, communities, utilities, financiers, and supply chain partners. Improving the experience for any one of them requires improving coordination across all of them.

What Is Decision Intelligence in Permitting?

What is Decision Intelligence in permitting? Decision Intelligence combines data, contextual reasoning, explainable AI, and knowledge graphs to connect fragmented regulations, stakeholder input, and project data into one decision environment. Instead of reviewers manually piecing together context from dozens of systems, Decision Intelligence surfaces risks and dependencies automatically, making permitting decisions faster, more consistent, and more defensible.

AI is already improving intake, document review, summarization, and regulatory analysis. Those gains matter, but they're incremental. The bigger opportunity is helping people make better decisions, not just process paperwork faster.

How Decision Intelligence Connects Data, Regulations, and Stakeholders

Decision Intelligence focuses on relationships, not just documents. It connects fragmented data, regulations, stakeholders, project history, environmental conditions, and operational dependencies into one unified view, using knowledge graphs to map how these pieces relate and explainable AI (XAI) to show why a conclusion was reached rather than asking reviewers to take it on faith. That's the model behind reView's explainable AI platform: every insight traces back to source evidence, so the reasoning holds up under scrutiny from auditors, regulators, and legal teams, not just the reviewer who ran the query. It's also why explainable AI outperforms generic AI copilots for decisions this consequential: a copilot that can't show its work isn't something an agency can defend in front of a regulator.

Why do permitting timelines take years? Permitting delays rarely stem from paperwork moving slowly between systems. They happen because agencies, applicants, and stakeholders can't easily see how regulations, environmental conditions, and project requirements relate to one another. As projects grow more complex, spanning federal, state, tribal, and local jurisdictions, that lack of shared context becomes the primary driver of delay.

With Decision Intelligence, risks surface earlier, dependencies become visible sooner, and historical decisions become reusable knowledge instead of institutional memory that walks out the door with a retiring reviewer. Agencies gain the ability to see not just what decision to make, but how that decision ripples through everything connected to it. This is consistent with the shift toward Decision Intelligence in energy, where the same fragmentation problem shows up in grid planning and asset investment decisions.

What Value Does a Permit Unlock Beyond Approval?

A common misconception is that the permit itself is the finish line. It isn't. The permit is an enabler.

Take a hyperscale data center. The permit supports a much larger set of outcomes: energy infrastructure, utility interconnection, construction schedules, workforce planning, water availability, transportation systems, and regional economic development. A transmission project affects grid reliability, generation capacity, electrification, and industrial growth. A critical minerals project touches domestic manufacturing, supply chain resilience, and national security. In every case, the permitting decision creates effects that extend well past regulatory compliance.

Permitting's Downstream Effects on Infrastructure Delivery

When a permit sits in review for years, it isn't just one project waiting. It's the utility waiting to plan interconnection capacity, the workforce pipeline waiting to staff up, and the supply chain waiting to commit capital. These same dynamics of permitting, power, and supply chain execution played out at the Louisiana Nuclear Summit, where execution speed, not just policy intent, determined which projects could move.

The organizations that understand the relationship between a permitting decision and its downstream effects can sequence work, de-risk financing, and accelerate delivery instead of waiting on a single point of approval. This is where Decision Intelligence creates its clearest value: it turns permitting from a process of managing approvals into a capability for understanding and optimizing the infrastructure ecosystem around it.

What Does the Future of Permitting Look Like?

Faster forms, bigger databases, and more workflow automation won't be enough on their own. The next stage of permitting modernization is a connected decision ecosystem, where agencies, applicants, stakeholders, and communities work from a shared understanding of the information that matters most.

In that environment, data is connected instead of siloed. Risk is visible before it becomes delay. Institutional knowledge is reusable instead of lost to turnover. Decisions are transparent enough to defend to executives, auditors, regulators, and communities. Coordination improves because every participant can see how their piece affects the rest of the system.

Permitting is fundamentally a decision-making challenge, not a paperwork problem. As infrastructure becomes more central to energy security, supply chain resilience, and economic competitiveness, the organizations that build the capacity to understand permitting decisions, not just process them, will be the ones that build faster.

See how reView turns fragmented permitting data into a defensible decision environment. Talk to our team.

FAQ

What is Decision Intelligence?
The convergence of data, contextual reasoning, explainable AI, knowledge graphs, and human expertise to improve complex decision-making, applied here to permitting.

Why is permitting now considered a strategic capability?
Because AI data centers, electrification, manufacturing, and critical minerals development all depend on how fast infrastructure can be permitted, making speed a competitive advantage.

What reforms have targeted permitting delays?
FAST-41, NEPA modernization, lead agency models, coordinated permitting frameworks, and recent technology-modernization executive actions.

Does digitizing permitting systems solve delays?
Not on its own. Digitization improves administrative efficiency but doesn't address the fragmented information environment that causes the biggest delays.

Is the permit itself the end goal?
No. The permit is an enabler for downstream outcomes like utility interconnection, grid reliability, workforce planning, and regional economic development.

Who benefits from a connected permitting decision ecosystem?
Agencies, applicants, investors, utilities, and communities all gain shared visibility into milestones, risks, and dependencies.