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IRP filing and regulatory defense

Enhances◐ 1–3 years

What You Do Today

Prepare the IRP filing document and supporting workpapers. Respond to commission staff data requests and defend the plan through hearing proceedings. Navigate the approval process that authorizes the utility to pursue its preferred portfolio.

AI That Applies

AI assists with document assembly, cross-referencing workpapers, and preparing data request responses from the model outputs.

Technologies

How It Works

The system ingests model outputs as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Document preparation and data request response compilation accelerates.

What Stays

Crafting the regulatory narrative, defending planning assumptions under cross-examination, and the judgment about when to fight for preferred portfolio elements and when to compromise.

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 irp filing and regulatory defense, understand your current state.

Map your current process: Document how irp filing and regulatory defense works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Crafting the regulatory narrative, defending planning assumptions under cross-examination, and the judgment about when to fight for preferred portfolio elements and when to compromise. These are the boundaries AI won't cross.
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 iManage 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 irp filing and regulatory defense 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's our current capability gap in irp filing and regulatory defense — and is it a people problem, a tools problem, or a process problem?

They're prioritizing which operational processes to automate

your process improvement or lean lead

How would we know if AI actually improved irp filing and regulatory defense — what would we measure before and after?

They understand the workflow dependencies that AI tools need to respect

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.