AI model management for live agents.
Providers update and retire models. UNCODE, an Adelaide AI consultancy, keeps model and connector updates inside the service, so your agent keeps working.
The model is a part, not the whole agent.
Swap, do not rebuild.
Instructions
What the agent is for. Written once, and they stay in place when the model changes.
Tool connections
Your systems it may use. They stay in place when the model changes.
Handovers
When it passes to a person. They stay in place when the model changes.
Model
The part that thinks, and the part you can swap. Model updates are part of what we run.
Right model for each request
A simple task does not need your most expensive model. A policy summary goes to a lower cost model, live chat to a fast model, and a health record to an in-region model: routed by cost, speed or compliance.
Systems and models, kept current.
AI model management is the work of keeping production agents running as providers update and retire their models. UNCODE swaps or routes models without rebuilding the agent, keeps connectors current, and logs every approved change. Links to your CRM, HR and finance systems do not quietly break: connectors are updated inside the service. And because the platforms we deliver on support the leading models, a model can be swapped without rebuilding the agent.
Salesforce
SAP
Microsoft Azure
OpenAI
Anthropic
Google Gemini
Mistral
Meta
A person approves what matters.
- We proposeA model swap, prompt edit or connector update.
- You decideYour approver decides. Anything consequential waits.
- It is loggedThe approval is a record you can review.
- Every timeAgents, prompts and connectors all change this way.
Questions about AI model management.
What happens when a provider changes or retires a model?
Model and connector updates sit inside the managed service. Agents are built so models can be swapped without rebuilding them, so your agent keeps working.
Can different requests use different models?
Yes. The platforms we deliver on are multi-model, and each request can be routed by cost, speed or compliance.
Who approves a model change?
We propose the change. A person on your side approves anything consequential, and the approval is logged.
Do prompts and connectors go through change control too?
Yes. Agents, prompts and connectors all change through change control.
Let's talk about your models.
If you want agents that keep working as models change, we can show you how model management would run for your business.