How I Use LLMs to Accelerate Product Management Daily

4 MINS

# How I Use LLMs to Accelerate Product Management Daily

At ProScore Technologies, I've integrated Large Language Models into my daily product management workflow. What started as experimentation has become an essential part of how I deliver faster, with better quality. Here's what I've learned.

The Problem: Information Overload in Compliance Tech

Working on compliance and analytics products means dealing with dense regulatory documentation, complex requirements from multiple stakeholders, and the constant pressure to deliver quickly without sacrificing quality.

Common bottlenecks I faced:

Translating regulatory documents into actionable product requirements

Writing consistent, detailed user stories with proper acceptance criteria

Creating documentation that engineers and QA teams could actually use

Prototyping dashboards and reports before committing to development

Where LLMs Add Real Value

I've found LLMs most valuable in specific, repeatable tasks where they augment (not replace) my thinking.

1. Regulatory to Requirements Translation

Compliance documents are written in legal language. Product requirements need to be in engineering language. LLMs help me bridge this gap:

Feed in regulatory text, ask for structured requirements

Review and refine the output with domain knowledge

Result: 3x faster first drafts of PRDs **2. User Story Acceleration** Instead of writing every user story from scratch:

Provide context about the feature and user persona

Generate initial story structure with acceptance criteria

Refine based on team conventions and edge cases **3. Dashboard Prototyping** Before asking design or engineering for mockups:

Describe the data and user goals

Get initial layout suggestions and metric recommendations

Validate feasibility before investing design resources

What LLMs Can't Do

Being clear about limitations is as important as understanding capabilities.

LLMs can't:

Understand your specific users without context you provide

Make strategic prioritization decisions

Navigate organizational politics

Validate technical feasibility The judgment, context, and stakeholder relationships remain entirely human work.

My Daily Workflow

Here's how a typical day looks with LLM integration:

Morning: Review customer feedback, use LLM to categorize and summarize themes

Midday: Draft PRD sections, using LLM for initial structure and language

Afternoon: Prepare sprint planning materials, generate story templates

End of day: Document decisions and rationale for async communication

Getting Started

If you're a PM curious about LLMs:

Start with one specific, repeatable task

Always review and refine outputs — never ship raw LLM content

Build prompts that include your team's conventions and context

Measure time saved and quality improvements The goal isn't to automate product management — it's to spend more time on judgment and less time on formatting.

Building Compliance Products: What B2B SaaS PMs Need to Know

Surabhi skipped presentations and built real AI products.

Surabhi Mehrotra was part of the January 2025 cohort at Curious PM, alongside 13 other talented participants.