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# The Role of the Operations Manager in the Era of AI
- URL: https://blog.jestor.com/role-operations-manager-ai-era/
- Published: 2026-09-15T20:20:13.000Z
- Updated: 2026-09-15T20:20:13.000Z
- Author: Bruno Bannach

The operations manager's role in the AI era shifts from personally executing repetitive tasks to designing, permissioning, and overseeing the processes that **AI agents** now execute. In **Jestor**, this shift is literal: the platform frames it as choosing which kind of **COO** — or ops leader — you want to be.

The fear that AI replaces the operations manager gets the direction backwards. AI replaces the repetitive tasks a manager used to do personally; it doesn't replace the judgment, design, and oversight that were always the harder part of the job.

## What changes for operations leaders

- Less time spent personally executing repetitive tasks
- More time spent designing process structure and permission boundaries
- A shift from "doing the work" to "defining what the AI is allowed to do"
- New responsibility for reviewing and auditing AI-driven outcomes, not just team output

## How the role evolves in practice

- Defining which parts of a process are rule-based automation versus **AI agent**\-driven
- Setting field-level permissions and **human-in-the-loop** checkpoints for each process
- Reading **SLA** and efficiency data to spot where the operation still needs attention
- Owning the cultural adoption of AI, not just its technical configuration

## Why this matters for Jestor customers specifically

- The platform's structure — permissions, SLA, agents — is built for this kind of oversight role
- Managers can see exactly what agents did, keeping them accountable without micromanaging every task
- Efficiency data (like reported operational efficiency gains) gives managers something concrete to report upward
- The job becomes less about keeping up and more about designing the system that keeps up on its own

| Old role focus                 | New role focus in the AI era                    |
| ------------------------------ | ----------------------------------------------- |
| Executing repetitive tasks     | Designing and permissioning AI-driven processes |
| Managing people's daily output | Overseeing both people and AI-driven outcomes   |

## Video Tutorial: See It in Action

🎥 **Video Tutorial:** [Escolha o COO que você quer ser.](https://www.youtube.com/watch?v=tLa9z42Nw8A&ref=blog.jestor.com)

See how the operations leader role is framed in the AI era.

## Frequently Asked Questions

**Does AI replace the need for an operations manager?** No, it changes what the role focuses on — design and oversight, not manual execution. More at [jestor.com](https://www.jestor.com/?ref=blog.jestor.com).

**What's the first skill to develop for this shift?** Reading SLA and efficiency data to identify where the operation still needs attention.

**Does this apply only to large companies?** No, the shift applies at any size — even a lean team benefits from this reframing.

With Jestor, you can automate workflows, connect teams, and build internal systems your way — all without code and powered by AI. Discover Jestor at jestor.com and see how to take your company's operations to a new level of efficiency and control.