We want to document our sales to onboarding handoff as a core process, but the actual steps live in scattered Slack threads and emails. How do we use a basic scraper and AI to extract these real workflows so we can document our standard operating procedures?
Trying to document a core process by interviewing team members often leads to incomplete or idealized descriptions of how work gets done. To capture the real workflow, you need to look at the actual communication trail.
You can use a basic scraper to extract messages from your onboarding Slack channels, project management comments, and sent emails over the last six months. This raw data represents how your team actually coordinates the sales to onboarding handoff.
Once you have extracted this text, feed it into an AI tool with instructions to identify the recurring steps, decision points, and handoffs. Ask the AI to draft a step by step standard operating procedure based on these actual interactions.
This draft will serve as an accurate baseline of your current operations. Review the draft with your team to eliminate redundant steps and optimize the flow.
By using real data to write your SOPs, you avoid the trap of creating theoretical processes that nobody actually follows. You can then upload this finalized SOP into your company knowledge base, ensuring your core processes are documented and followed by all.
Category: AI-Powered Operations