AI Saves Time - Claude + Notion: How This CEO Cut 80 Hours to 8

AI Saves Time - Claude + Notion: How This CEO Cut 80 Hours to 8

How much time can AI actually save a business—and where does it still need a human in the loop?

In this episode of Real AI Use Cases: Business Owners Roundtable, Elizabeth Gearhart and Richard Gearhart talk with Ryan Charles of Omni Common about how his growth marketing agency is putting AI to work every day.

Ryan explains how his team uses Notion as a central source of truth, connecting client data, project management, meeting notes, reporting and other information—and then works with Claude to analyze that information and turn it into actionable business insights.

The results can be dramatic. Ryan describes one data-analysis and strategy workflow that once could have taken roughly 80 hours and now takes about eight.

TL;DL — Too Long; Didn’t Listen

• AI can produce major time savings: Ryan describes cutting a data-analysis and growth-strategy workflow from about 80 hours to 8 hours using Claude.

• Give AI a reliable source of truth: Notion, spreadsheets and raw data files help keep business information organized and reduce dependence on an LLM's memory.

• Human oversight still matters: AI can analyze data, build presentations and help create content, but numbers need verification and AI-generated writing often needs substantial editing to preserve an authentic brand voice.

In this episode:

• How Omni Common uses Notion + Claude as part of its AI workflow

• Connecting Claude to Notion using MCP

• Using AI to analyze Google Analytics, Shopify, Square and other business data

• Turning complex data analysis into client presentations

• How AI cut one workflow from roughly 80 hours to 8 hours

• Why AI-generated numbers still need to be verified

• Using spreadsheets as a reliable source of truth

• Creating presentations with Claude and applying brand guidelines

• Why AI still struggles to preserve a company's—or person's—authentic voice

• The problem of "AI slop"

• Why human writers remain important even when AI is part of the content workflow

• How Elizabeth uses AI to optimize her own writing for LLM and AI search without giving up her voice

• Why different LLMs may be better suited to different jobs

Ryan also shares why his agency still relies heavily on humans for final content creation. AI can research, synthesize and organize information remarkably quickly, but getting the final product truly on brand and in the right voice can require substantial human intervention.

The takeaway: AI can dramatically accelerate business intelligence, marketing and content workflows—but the best results come when businesses combine AI's speed with reliable data, verification and human judgment.

Frequently Asked Questions How can businesses use Notion and Claude together?

Notion can serve as a central repository for client information, project data, meeting notes, tasks and reporting. Ryan's team connects Notion with Claude so Claude can access that information and use it for analysis and other business tasks.

Can Claude connect directly to Notion?

Yes. Ryan describes connecting Claude and Notion using MCP (Model Context Protocol), allowing Claude to access information stored in Notion as part of the workflow.

How much time can AI save on business data analysis?

In Ryan's experience, the savings can be sub...

Chapters

• (00:00:00) - Cold Open
• (00:01:55) - Elizabeth - Why choose Claude?
• (00:02:29) - Ryan Charles - why Omni Channel runs on Notion + Claude
• (00:03:17) - Richard Gearhart - Are able to quantify the impact?
• (00:04:07) - Ryan Charles - Claude and data analysis
• (00:07:01) - Richard Gearhart - LLMs and data analysis
• (00:08:39) - Ryan Charles - Claude and branding and powerpoint
• (00:10:31) - Elizabeth Gearhart - LLMs and presentations
• (00:12:13) - Ryan Charles - content creation and AI slop
• (00:15:00) - Elizabeth Gearhart - Manus website and blogs
• (00:17:29) - Group - AI for presentations, AI slop