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GullySystem

Deployment, Monitoring and Governance for Production AI

Model deployment, monitoring and governance covers everything after a model works in testing: running it, watching accuracy and cost, controlling access and keeping a record of what was asked. Models built elsewhere are included.

Why something has to watch it

A model does not fail loudly. It keeps returning reasonable-looking answers while the data underneath changes: new product lines, a different customer mix, a supplier who sends bills in a new layout. Accuracy can slide unnoticed. Usage can climb, and so does the bill. Both are monitoring problems and not modelling ones.

What the layer consists of

Deployment

The model is served behind an endpoint with versioning, so a change that misbehaves can be rolled back the same day.

Accuracy checks

A fixed question set is rerun on a schedule and after every content or version change, with results compared over time.

Cost and usage

Calls, tokens and spend are tracked per feature, so an expensive feature is a visible choice and not a surprise.

Access and trail

Who may call what is controlled. A stored record of questions, answers and sources supports review or dispute.

Fine-tuning or building from scratch

Most business problems are solved by retrieval over your own documents and not by training a model. Fine-tuning suits tasks with a fixed shape and plenty of examples, such as sorting into your own categories. Training from nothing is rarely the right choice for a small or medium business, and that is raised before work starts.

FAQ

Frequently asked questions

Can you take over AI built by someone else?

Yes. The first step is documenting what exists and putting checks around it. Inherited AI work usually arrives with no evaluation set and no record of what it was tested on.

What does governance mean here in practice?

Written rules about which model may be used for what, who approves a change, what data may be sent to an outside service, and how long conversation records are kept.

Do we need this layer for one small assistant?

Not all of it. A single internal assistant needs a version record, a question set and a cost alert. The fuller arrangement matters once several features depend on models and more than one person changes them.

Where does everything run?

On accounts in your name, whether a cloud provider or your own servers. Keys, logs and evaluation sets stay yours, so changing supplier does not mean restarting the operational work.

Talk to us

Tell us what you need.

Share your requirements and one of our engineers will come back to you within one business day.

What happens after you share your requirements

  1. A senior engineer reads your answers. Nobody phones first.
  2. Within one business day you get a written note: what we understood, what we would start with, and the questions we still have.
  3. If it fits, a proposal follows with the order of work, what we need from you and what you receive at each step.
  4. No call is booked and nothing is paid until you have read the note. Your details stay with us.

Start with your requirements

Seven short steps that tell us what you need. A senior engineer reads them before anyone gets in touch.

Share your requirements