The customer asks when their system will be live. The honest answer involves a utility queue the operator can't see into, can't escalate, and can't influence except by having filed correctly. Most operators don't relay that to the customer, they give an estimate based on how long it took last time, which is how a date that was always a guess turns into a commitment. The operators who seem to work fastest to their customers usually aren't installing quicker, they're surprised less often.

The queues aren't getting simpler. At the transmission level, Lawrence Berkeley National Laboratory's latest Queued Up report found the median time from interconnection request to commercial operation was more than five years for projects built in 2025. Deloitte's 2026 Renewable Energy Industry Outlook still lists interconnection queues and local opposition among the barriers developers face, even as US operating storage capacity grew about 32% in the first ten months of 2025. Distribution-level installs move on a much shorter clock, but the pattern holds, the wait belongs to someone else.

Schedules That Assume Control

Solar, storage and EV install schedules are usually built as though every stage is under the operator's control: design, procurement, mobilization, install and commissioning. Each of those has a duration that effort and resourcing can influence.

Three stages work differently. Permitting, interconnection and inspection are queues held by third parties with their own cadence, their own backlog and no service level to the installer. Effort doesn't shorten them, though correct filing and steady follow-up keep them from getting longer.

Most scheduling tools have no way to represent that difference, since a stage is a stage with a duration. So the wait gets modeled as a fixed number of days, and every project that exceeds it becomes an individual surprise rather than part of an expected distribution.

What the Mismodeling Costs

The cost shows up in three places, each more serious than the last.

The first is crew planning. When a project is scheduled to hit install on a date derived from an assumed permit duration, crews get provisionally allocated against information that is possibly inaccurate to the current job. Then, when the permit runs long, that capacity either sits idle or gets scrambled onto another job at short notice.

The second is customer trust. A date given confidently and missed twice tends to do more damage than a wider range given honestly at the start, and in a channel business where the customer often has a financing clock running, that's far from a soft cost.

The third is systemic blindness. When every overrun is treated as a one-off, nobody learns that one jurisdiction consistently runs a few weeks longer than another, which is exactly the knowledge that would let the business sell and schedule differently by region.

Model the Queue as a Queue

The shift is to stop treating a wait as a duration and start treating it as a stage with an age.

That means tracking time in stage instead of assuming days, and setting thresholds so anything aging past a normal range flags itself. It means making the follow-up an owned task with a name against it, rather than something that depends on someone remembering to chase. And it means recording which jurisdiction, utility, and submission type each wait belongs to, so the pattern builds up over time.

None of that speeds up the utility, and that isn't the goal. The goal is to stop being surprised, to chase reliably, and to be able to tell a customer something true.

The Compounding Benefit

After a couple of quarters of tracking time in stage properly, an operator has something many competitors don't, an actual distribution of how long each queue takes, by jurisdiction and by type.

That changes the commercial conversation. Sales can set expectations regionally rather than uniformly, operations can sequence work to smooth crew demand around known waits, and finance can forecast revenue recognition against something better than an average. The tracking is the unglamorous part, and the distribution it produces is the asset.

Running the Queue in Cloud Coach

For install operators on Cloud Coach, permit, interconnection, and inspection waits stop being blank space in the schedule and become stages on the project itself, in the same Salesforce org that holds the sale and the customer. Follow-ups become owned tasks, configurable workflows can flag a stage that has aged past its normal range, and Project Copilot, built natively on Agentforce, can answer questions like which installs have waited longest for interconnection this month, drawing on live Salesforce project data rather than last week's export. Customers report about a 30% reduction in project overruns, and in install work much of that recoverable time tends to sit in the queues rather than on the roof.

How We See It

No operator controls the interconnection queue, but every operator can stop planning as though it isn't there, chase it reliably, and learn its shape. The ones who look fastest to their customers usually aren't installing quicker, they're surprised less often.

Frequently Asked Questions Related to Energy

• How long does solar interconnection take?

It varies widely by utility, jurisdiction and project size. Smaller distribution-level installs generally move much faster than utility-scale projects, which Berkeley Lab found had a median of more than five years from request to commercial operation for projects built in 2025. The most reliable estimate is one drawn from an operator's own tracked history in each jurisdiction.

• What is permit-to-power tracking?

It's tracking each install from permit submission through interconnection approval and inspection to energization, with time in stage recorded, so delays surface early and patterns by jurisdiction and utility build up over time.

• How can installers give customers more accurate go-live dates?

By quoting a range based on how long each queue has actually taken in that jurisdiction, rather than a single date built on an assumed duration, and updating the customer as each stage ages.

Sources Cited

Deloitte Insights, "2026 Renewable Energy Industry Outlook." <https://www.deloitte.com/us/en/insights/industry/renewable-energy/renewable-energy-industry-outlook.html> Used for: interconnection queues and local opposition remain barriers; US operating storage capacity reached 37.4 GW by October 2025, up 32% year to date.

Lawrence Berkeley National Laboratory and GridTracker, "Queued Up: 2026 Edition, Characteristics of Power Plants Seeking Transmission Interconnection As of the End of 2025," June 2026. <https://emp.lbl.gov/queues> Used for: median duration from interconnection request to commercial operation of more than five years for projects built in 2025 (regions with available data).