Carlos Ramón Campo · IliciLabs

AI process automation with human control

Research notes and product thinking from Carlos Ramón Campo on practical AI automation, agent workflows, internal tools, and productivity systems.

Documents and reporting

Extraction, summarization, validation, and report generation without losing traceability.

Support and tickets

Classification, reply drafts, prioritization, and escalation with human review.

Internal knowledge

RAG, semantic search, and assistants that answer from controlled sources.

Repetitive operations

Small workflows that connect APIs, data, and auditable decisions.

My approach

  1. 01Map the process
  2. 02Clean the inputs
  3. 03Design human checkpoints
  4. 04Log decisions
  5. 05Automate gradually

Not everything should be automated

Useful automation starts with judgment: which process deserves AI, which risk needs supervision, which data should stay private, and where a person must make the final decision.

From product to process

IliciLabs uses the same discipline for human-centered apps and company automation: concrete problems, privacy, control, and measurable outcomes.

Related field notes

Want to review a real process?

If you have a repetitive workflow, an overloaded team, or scattered data, the first step is mapping it before promising automation.

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