Model Development, Deployment, Monitoring and Governance
Building or fine-tuning a model where a ready one doesn't fit your data, and running the operational layer — deployment, monitoring, access control and governance — for AI systems already in production, whether built here or elsewhere.
The Two Parts of This Service
This covers building or fine-tuning a model when an off-the-shelf option doesn't fit your data, and separately, running the deployment, monitoring and governance layer for AI systems already live in your business — including ones not originally built by us.
Model Development
Fine-Tuning Against Your Own Labelled Data
Adjusting a model against your own data where a general model underperforms.
Model Selection and Comparison
Comparing candidate models against your specific task rather than defaulting to one option.
Evaluation Against a Held-Out Test Set
Testing the chosen model against data it wasn't trained on, to check it generalises.
Deployment and Monitoring
Production Deployment With Usage Dashboards
Visibility into how the model is actually being used once live.
Cost Monitoring and Spend Caps
Alerts and caps so usage cost doesn't surprise you in a busy period.
Automatic Re-Evaluation on Change
The model is re-checked whenever underlying content or the model version changes.
Error and Drift Alerts
Alerts when accuracy starts slipping from what was measured at launch.
Governance
- Access controls by role across every model in production.
- A full audit trail of requests and responses.
- A documented, named owner for every model running in your business.
- A record of what data each model was trained or grounded on.
When a Single Build Doesn't Need This Layer
A single small assistant already covered under its own build doesn't need a separate governance engagement. This is for organisations running several AI systems that need a shared operating layer across all of them.
Frequently asked questions
Is this only for building new models?
No, it also covers deployment, monitoring and governance for AI systems already built and running, including ones built by someone else.
What drives the cost of this engagement?
The number of models covered and how much custom fine-tuning versus operational monitoring is involved.
What drives how long this engagement takes?
How much labelled data is available for fine-tuning, and how many production systems need bringing under the governance layer.
Does this work across whatever we already have deployed?
Yes, it is built to work across your existing cloud or on-premise setup, whatever it currently is.
Who owns the models and governance records?
You do — the models, evaluation results, monitoring dashboards and audit trail stay yours.
What do we need from you to get started?
A list of the AI systems currently in use or planned, and a named owner for each.
Tell us what you need.
Send a short brief and one of our engineers will come back to you — usually the same day.
- No obligation
- We reply the same working day
- Your details stay private