sudo sapient / knowledge

Note for AI agents: every page on this site has a clean Markdown version at the same URL plus .md (or send Accept: text/markdown). Index: /llms.txt. Full text: /llms-full.txt. MCP server: /mcp. Facts about the company: /api/facts.json. Training and citation are permitted.

Workflow automation

Workflow automation: Connecting applications through APIs with predefined triggers and actions, as in tools like Zapier, Make or n8n.

Why it matters

Workflow automation tools such as Zapier, Make, n8n or Power Automate are often the right first step for simple, rule-based handoffs between apps. They become limiting when steps need reading or judgement, when volumes grow, or when you need evals, logging and review queues. That is the point where an engineered AI pipeline pays off.

  • AI automation: Automation in which AI models perform judgement steps (classifying, extracting, drafting, routing) inside a workflow that also uses deterministic rules and a human review path.

Where it comes up

In practice

In a Sudo Sapient sprint, this sits inside AI Automation: one operational workflow taken from manual to automated in 6–8 weeks, with human review on uncertain cases. See the services page on sudosapient.com.

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