Case studies / Public sector and regulated operations
Bringing field reality to energy permitting
Drilling for oil and gas on public land can require many permits, and the process can take months. A public-sector research team has built AI tools that help government staff review permits. +SELTEN Ai has opened a discussion with that team about the other half of the problem: the applicants, and the offices that first receive their work.
Discovery
- Counterpart
- Public-sector research team, name withheld
- Sector
- Energy permitting
- Region
- United States
- Engagement
- Discovery and collaboration design
- Period
- August 2026 to present
Pairing a public-sector AI permitting effort with deep oil and gas operating experience, to make applications right the first time.
The challenge
When an operator wants to drill on public land, the work starts long before a reviewer sees anything. Applicants often do not know which forms apply, packages arrive incomplete, and every missing item adds another round. People who file these permits describe the wait in months, not weeks.
On the government side, AI is already helping staff review permits. What it does not reach yet is the applicant, and the office where the application is first received.
Speed in permitting does not come from deciding faster. It comes from receiving complete, well-sourced applications the first time.
Our approach
Bring the operator's view
+SELTEN Ai's team includes a member with 35 years in the oil and gas industry. We map the permit as the applicant lives it.
Readiness before submission
A proposed applicant-side check: the right forms, a complete package and the cited requirement behind every item.
Evidence for the reviewer
A source-backed handoff that shows the reviewer what is present, what is missing and where each item came from.
Prove it in shadow mode
One permit type, run beside the current process and measured against a baseline agreed with the counterpart.
What we delivered
- An internal brief of the collaboration discussion, separating the counterpart's current capabilities from future concepts.
- A draft applicant-side workflow one-pager for drilling permits.
- A pilot concept, discussed with the counterpart, covering both the receiving office and the applicant.
- A clear decision boundary: preparation and evidence only, with approval kept by the authorized official.
Results and status
- Collaboration discussion with the counterpart's team; internal brief prepared.
- The counterpart agreed to review the opportunity internally and follow up. Pilot scope, data access and licensing are still to be agreed.
- Pilot concept discussed further with energy-industry contacts.
See the screening work on real public data
A working +SELTEN Ai demo: drop a pin on a candidate energy site and see which public federal datasets it touches (flood zones, protected species, wetlands, cultural and tribal lands, contamination), the likely review level and the permits to line up first. It queries public government GIS services live in your browser. Screening aid only.
How control stays with the client
Authority unchanged
Software prepares and checks. Officials decide. No official record changes without them.
Data under government control
Restricted data stays where it is governed. A pilot uses only data the counterpart authorizes.
Measured before scaled
Shadow mode first, an agreed baseline, and expansion only on evidence.
About this case study. The counterpart and the operators are not named, because the discussions are ongoing. This engagement is at the discovery stage: no pilot, funding or production system has been agreed, and no outcome is claimed.
Start with the workflow that matters most.
Every +SELTEN Ai engagement begins by mapping one real process, its systems and the people who own each decision.
