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Transmission Planner

Drafting regulatory filings for transmission project approvals

Enhances◐ 1–3 years

What You Do Today

Prepare CPCN applications and supporting technical documentation for state regulatory commission approval of new transmission projects.

AI That Applies

NLP generates initial filing drafts using precedent templates, study results, and regulatory requirement checklists to accelerate document preparation.

Technologies

Regulatory filing templatesNLP document generationprecedent databases

How It Works

The system ingests precedent templates as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The output — initial filing drafts using precedent templates — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

First drafts assembled 3x faster with consistent formatting and complete citation of supporting studies.

What Stays

Regulatory strategy and testimony preparation. The filing is a legal document that must withstand cross-examination. AI drafts; you certify and defend.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for drafting regulatory filings for transmission project approvals, understand your current state.

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Map your current process: Document how drafting regulatory filings for transmission project approvals works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
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Identify the judgment points: Regulatory strategy and testimony preparation. These are the boundaries AI won't cross.
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Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Regulatory filing templates tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long drafting regulatory filings for transmission project approvals takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Operations or COO

“What content do we produce the most of that follows a repeatable structure?”

They're prioritizing which operational processes to automate

your process improvement or lean lead

“What's our current review and approval process, and would AI-generated first drafts change the bottleneck?”

They understand the workflow dependencies that AI tools need to respect

a frontline supervisor

“What would have to be true about our data quality for AI to work reliably in drafting regulatory filings for transmission project approvals?”

They see the daily reality that AI tools need to fit into

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.

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