Automation.
Processes that run without depending on anyone remembering to execute.
What governs
every decision.
Process before tool
Automating a bad process just produces a bad process faster. We map the current human flow and identify bottlenecks before writing a single line of workflow.
Supervision, not abdication
AI executes, the human decides what matters. Every automation has defined checkpoints where the system stops and waits for approval. No agent acts alone on high-risk decisions.
Total observability
If you can't see what the system did, it isn't automation; it's hope. Structured logs, proactive alerts, health dashboards. No black box.
Continuous iteration
Version 1 is a starting point, not a final delivery. The system learns from errors and expands coverage over time. Automation is a living product, not a project with an end.
Four agents,
continuous operation.
Each agent has a defined scope, specific tools and a handoff protocol. None works in isolation.
Market analysis, campaign planning, project prioritization and allocation decisions. Reads data from Métrikos, guides Contento and Nexo.
Content production at scale: articles, copy, scripts, emails, posts. Operates in the brand's tone, respects the editorial calendar, delivers ready to publish.
Collects, transforms and delivers data. Generates reports before Monday's meeting. Fires alerts when metrics leave the defined threshold.
Orchestrates the flows between systems: CRM, email, notifications, webhooks, scheduled posts. Glues the other three agents into a single workflow.
Each agent passes structured context to the next: what was done, what's pending, what the priority is. No rework, no noise.
High-risk decisions go through human approval. The system flags when something deviates from the pattern and waits before acting.
From manual
to a living system.
Four implementation phases. Each phase with an input, an output, and a defined owner: auto (AI agent) or human.
Identifying the current process: who does it, what they do, in which tool, how often. Without a map, automation stays fragile.
The automation architecture: which agents take part, which tools connect, where the human validates, where the system decides.
Implementing the agents and workflows. Tested in parallel with the old manual process until reliability is proven.
A living system. Failure monitoring, prompt tuning, expanding the agents to cover unforeseen cases.
A system becomes an advantage.
Infrastructure without friction.
A stack built in layers that talk to each other. Each tool has a specific function. None of that all-in-one that locks up when you need to leave.
Salesforce · Custom Webhooks
Python Scripts · Cron Jobs
Custom Prompts · Tool Use
Notion · Airtable · dbt
WhatsApp API · Relatórios PDF
Automation that scales
with you.
First workflow running in 3 weeks. No proprietary code that locks you in. An open-source stack you control. Agents that learn from use.
