How to design an AI team that delivers, starting with tasks and not job titles

Blessing Effect

If you want AI to actually move the needle in your business, stop thinking in job titles and start thinking in tasks. In this episode, I share how breaking down your workflow into clear, actionable steps is the key to building an AI team that works. You’ll learn how to identify your three business hubs—communications, project management, and data—and why your “source of truth” matters more than any single tool.

I’ll cover how to turn high-friction, repetitive work into automations you can actually trust, why living SOPs are essential, and how to avoid locking yourself into the wrong tech stack. If you’re ready to build an AI-powered team that’s practical, flexible, and easy to update, this is your blueprint.

Ready to build an AI team that actually works? Join the AI Team Blueprint Cohort and get the support you need to automate with confidence.

Resources Mentioned

• AI Team Blueprint Cohort (https://aiteamblueprint.com)
• Relay App (https://sayla.to/relayapp)
• Airtable (https://sayla.to/airtable)

Chapters

00:45 Building AI teammates as role-fillers doesn’t always work

02:02 Get clarity by starting with tasks, not job titles

03:18 Teach your AI to make decisions by defining rules that matter

05:04 Every business needs these three hubs before automating

06:51 Anchor your AI build in your current reality

08:23 Avoid the mistake of marrying the wrong tech stack

09:54 Turn big responsibilities into manageable tasks

12:10 Use ‘living SOPs’ to build and manage adaptable AI

14:58 Centralize your knowledge and choose AI-native tools to supercharge your systems

17:00 Take action and join the AI team blueprint cohort