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The Automation Org Chart: The 5 Roles You Need to Scale AI (Even If You're a 10-50 Person Company)

AI doesn't fail because the model is dumb. It fails because nobody owns the workflow. If you want AI to become a company capability, you need an org chart for it - not a big reorg, just five roles with clear responsibilities.

Marius Silo
SiloTech
6 min read
Cover image for the article "The Automation Org Chart: The 5 Roles You Need to Scale AI (Even If You're a 10-50 Person Company)"
#AI governance#Automation#AI strategy#Decision rights#Workflows#AI roles

Frequently asked questions

Do I need to hire new people for these five roles?
No. These are "hats," not hires. In a 10-20 person team the Executive Sponsor is the CEO, the Workflow Owner is a functional lead, the AI Operator is a power user, the Data Owner is your Ops/RevOps lead, and the Risk Owner is the COO. At 30-50 people, keep the same hats but make them explicit in job descriptions.
What is a Decision Rights Matrix and why does it matter?
It's a one-page document stating who can approve a new workflow, who can connect a new data source, who can publish customer-facing outputs, who can change standards, and who owns incidents. Without decision rights you don't have governance - you have arguments. Print it, put it on the wall, and link it in every PRD.
What does the 30-60-90 rollout plan look like?
Days 0-30: pick one boring-but-valuable workflow, assign all five hats, and ship v1 with human-in-the-loop. Days 31-60: standardize templates, add evaluators, publish the Decision Rights Matrix, kill duplicative tools. Days 61-90: add workflows #2 and #3, build a weekly dashboard for the Exec Sponsor, and run a one-hour training on how to request changes without chaos.