FERC · FERC-0005 · record R2061

Gas Blanket Certificates (Permitting)

Federal Energy Regulatory Commission · FERC

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Blanket Certificate use case automate administrative tracking and reporting functions without making determinations that affect individual rights, benefits, or services. The system operates under human oversight and does not independently initiate regulatory actions or enforcement. Its outputs are used to support internal reporting and compliance reviews, not to drive decisions with legal or civil implications.
Start date: 2025-11-24 (day precision)Source: 2025-11-24T00:00:00
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Energy and the Environment
Operational functions: Summarization Derived by keyword rules; see methodology

Problem the AI is intended to solve

It is designed to streamline the classification, tracking, and summarization of filings and issuances related to blanket certificates, reducing manual workload and improving consistency across document types.

Expected benefits

Improves operational efficiency by automating repetitive tasks, enhances transparency in regulatory processes, and accelerates access to structured data for both internal analysts and stakeholders from the analyst's responses.

System outputs

The system generates categorized summaries of filings and issuances, flags sensitive content, and produces searchable metadata tags that support downstream reporting and compliance reviews.

Technology

AI classification: Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
System name(s): Microsoft Azure Commercial
Custom-developed code: Yes
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Zvolvant (Small Business)
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: No
Privacy Impact Assessment: Not reported
Authorization to Operate: No
Demographic features: k) None of the above
Training and evaluation data: The system uses historical filings and issuances from FERC’s eLibrary and PIW systems, including scanned PDFs and structured metadata, to train and evaluate classification and summarization accuracy.
Federal Data Catalog: Not reported

Governance

8 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingReported in placeSource: a) Yes

AI impact assessmentReported in placeSource: a) Yes

Independent reviewReported in placeSource: c) Yes – by the CAIO

Ongoing monitoringReported in placeSource: a) Yes, sufficient monitoring protocols have been established

Operator trainingReported in placeSource: a) Yes, sufficient and periodic training has been established

Fail-safeReported in placeSource: a) Yes

Appeal processNot applicableSource: b) Not applicable

User and public consultationReported in placeSource: a) Direct usability testing

Potential impacts and how they were identified

Improves the speed, accuracy, and traceability of reviewing Annual Construction Reports, which support environmental compliance and regulatory oversight.