top of page
Search

Post 2 - AI Demystified Series: By Mergenia AIThe Hidden Cost of Manual CRM Updates (And How AI Fixes It)

  • Writer: Jarrod McKenzie
    Jarrod McKenzie
  • Aug 28
  • 1 min read

Every sales team knows the pain:

Notes that never make it into the CRM

Deals slipping through the cracks

Forecasts that feel more like guesswork than strategy


On average, salespeople spend 5–10 hours per week manually updating CRMs. That’s 80–150 hours a month across a small team.


AI can change this completely:


📝 Auto transcribes calls and meetings


📌 Captures action items + next steps automatically


📊 Updates pipeline stages in real time


The result? CRMs that are always current, without anyone burning hours on data entry.


And when the data is clean, forecasts get sharper, leaders make better decisions, and reps spend more time where it matters: closing deals, not typing notes.


The Solution: AI tools automatically sync data from emails, calls, and interactions, predicting deal closures with machine learning algorithms.


Business Impact: A B2B service firm automated lead scoring, increasing conversion rates by 30% and freeing sales reps to focus on high value closings adding up to $50K in quarterly revenue.


Be honest, how much selling time do you think your team loses to “admin work” each week?



What would you add? Drop it in the comments below or save this for later.

 
 
 

Comments


bottom of page