unclouded.ai
AI automation

AI doesn't need a chat window

Some of the best AI systems never ask anyone to type a prompt. They receive work. They process it. They return a result. We design automated workflows that do useful background work inside operations you already have.

Meet the worker bees

A worker is a small, specialized service with one job. It may:

  • Watch a folder
  • Receive an API request
  • Process a queue
  • Monitor a repository
  • Analyze incoming documents
  • Transcribe recordings
  • Create metadata
  • Generate embeddings
  • Summarize results
  • Classify content
  • Run security tools
  • Transform data
  • Send results onward
  • Do nothing until needed

Workers operate continuously, on a schedule, or on demand. Most of the ones we build spend the majority of their lives idle, which is exactly what you want from something that runs on hardware you paid for once.

AI is one tool in the pipeline

A good workflow might use application code, command-line utilities, databases, search engines, OCR, security scanners, rules, APIs, classical machine learning and language models — often several of them in the same job.

We do not force every step through a language model because AI is fashionable. A regex that has worked for fifteen years does not need replacing with an LLM call that costs money, takes two seconds and is occasionally wrong.

The right tool handles each part of the job.

Worked examples

Four workers, in outline

These are illustrative shapes rather than products — a real one is built around your data and your systems. But they show what the finished thing tends to look like.

worker incoming-document
  1. receive PDF watched inbox your network
  2. extract text your network
  3. OCR missing pages your network
  4. identify metadata your network
  5. summarize your network
  6. notify system the app that needed it your network
worker meeting
  1. receive video your network
  2. extract audio your network
  3. transcribe your network
  4. identify speakers your network
  5. produce captions your network
  6. index transcript your network
worker security
  1. receive repository your network
  2. run scanners established tools your network
  3. normalize findings your network
  4. correlate de-duplicate across tools your network
  5. AI analysis explain and prioritize your network
  6. review report for a human your network
worker archive one-time, then retired
  1. receive historical files your network
  2. classify batch managed
  3. extract metadata managed
  4. OCR the slow part managed
  5. embed + index your network
  6. publish searchable results your network
  • your network Runs inside your own environment.
  • managed Runs on infrastructure we operate for you.
  • cloud Uses a commercial cloud or AI service.

Where the results go

A worker that produces a beautiful JSON file nobody reads has not automated anything. The last stage of every workflow is delivery into a system a person already uses:

  • An existing line-of-business application, through its API
  • A database the reporting layer already reads
  • A document management or records system
  • A search index behind an existing intranet
  • A shared drive, in the format that team expects
  • An email or ticket, when a human needs to make the call

And where humans stay

Automation is a spectrum, not a switch. Plenty of good workflows do ninety percent of a job and hand the last ten to a person — with the evidence attached, so the decision takes a minute instead of an hour.

We design the review step around the consequences of being wrong. A misfiled internal memo is an annoyance. A misclassified public record is a problem. Those two get different amounts of human involvement, and deciding which is which is part of the work.

AI systems can be wrong. Systems that assume otherwise are the expensive kind.

You do not need an AI strategy. You need a problem worth solving.

Show us the repetitive work, the archive nobody can search, the recordings piling up, or the process that looks automatable. We will work backward from there.

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The best AI system is one nobody has to think about

If work arrives on a schedule, in a folder, or through an API, it can usually be handed to a worker instead of a person. Tell us what the work is.

Tell Us What You Want to Automate