AI automations for marketing

Agents that speed up the operational, repetitive side of marketing: ad monitoring, reporting, prospecting and first drafts of content. We use them every day on our own accounts and implement them in your company.

paid-media-agent · daily run
  1. 08:00Reviewing Meta Ads and Google Ads accounts…
  2. 08:02Month-to-date spend vs. plan: on track across all accounts
  3. 08:03Alert: remarketing campaign with high frequency and creative fatigue
  4. 08:04Alert: active ad set spending with no sales in 7 days
  5. 08:05Opportunity: catalog campaign with strong return and limited budget
  6. 08:06Summary sent to the team for approval

AI handles the operational, repetitive work in minutes. The team focuses on strategy.

The agent team

Each agent has a specialty. They analyze, recommend and leave drafts; a person approves every decision.

Paid media director

Coordinates the analysts and compiles a single prioritized report.

Runs every morning

Meta and Google analyst

Diagnoses campaigns, audiences, creative and measurement.

Active

Budget pacing

Compares actual spend against plan and projects the month-end close.

Active

Opportunity finder

Finds what’s working and has room to scale.

Active

Content research

Spots trends and gaps in each account’s niche.

Weekly

Hooks and scripts

Suggests openings and structures each piece around a single call to action.

Weekly

Sales agent

Finds and qualifies prospects and leaves the first outreach as a draft.

Weekly

Profitability

Cross-checks hours, costs and fees to see what delivers margin.

Monthly

We shared how we do it at Social Media Day Mendoza 2026, in the talk “From executing to creating: what AI gave back to our team”.

What changes in your week

Without agents

  • Accounts get reviewed by hand, when there’s time.
  • Problems show up in the end-of-month report.
  • The report takes hours of exporting and assembling.
  • Prospecting depends on someone finding the time.

With agents

  • Every account is reviewed first thing every day.
  • Alerts arrive the same day, prioritized.
  • The report comes ready and the team reviews it.
  • Prospects arrive qualified, with a draft ready to go.

How we implement it in your company

Step 1

Process mapping

Which tasks repeat, how long they take and which ones can be automated without losing control.

Step 2

Prototype with your data

A first workflow on a real process, tested with your team before scaling it.

Step 3

Implementation

Up and running, documented and with your team trained, connected to Meta, Google, Gmail, Slack or ClickUp.

Frequently asked questions

Which marketing processes can be automated with AI?

Daily campaign monitoring, reporting, trend and competitor research, finding and qualifying prospects, first drafts of scripts and copy, and cross-referencing sales, ad and profitability data.

Does AI replace the marketing team?

No, they complement each other. AI speeds up operational, repetitive tasks such as monitoring, reporting and first drafts, so the team can spend more time on strategy, creative work and the relationship with each brand. In our workflows, a person approves every action taken on an account.

What tools do you use?

State-of-the-art language models connected to Meta Ads, Google Ads, Gmail, Slack, ClickUp, Metricool and spreadsheets, depending on each company’s process.

What about the security of my data?

We work with least-privilege access, accounts stay in your company’s name and any write action requires approval. Together, we define what data goes into each workflow.

How long does it take to implement an automation?

A first workflow on a specific process is usually up and running within a few weeks. After that, we add processes one at a time, while the team is already using the previous ones.

Which task would you like to never do again?

Tell us how your team works and we’ll show you what can be automated first.

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