An operating baseline
Establish logs, traces, health checks, quality evaluations and usage reporting. Agree incident responsibilities and service hours.
Managed AI Operations
Launch is a beginning. Keep getting better.
Monitoring, quality evaluation, releases and ongoing improvement—with a clear owner for the running system.
Discuss your AI projectSERVICE ILLUSTRATION · NOT A LIVE PRODUCT
Who keeps this working after launch?
What the engagement delivers.
Controlled change
Version prompts, models and retrieval settings. Run regression checks, document releases and keep a practical rollback route.
Continuous care
Maintain integrations, refresh knowledge, apply security updates and prioritise improvements using feedback and cost reviews.
ILLUSTRATIVE APPLICATION
Catch a quality regression before release
A model or retrieval update is checked against reviewed examples. If results regress, the release is held while the previous version remains available.
Connected to the right systems.
Bring application, infrastructure and model signals into an actionable operating view. Avoid collecting unnecessary personal content in logs.
With the right controls.
LLMOps and MLOps are the practices for evaluating and managing AI over time. Reliability practices include escalation, recovery testing and change accountability.
Where it runs.
How it stays useful.
Operate a commissioned build or assess an existing system for takeover. Service hours, response commitments and SLAs are agreed per engagement.
What shapes the scope?
System criticality, support coverage, integrations, release frequency and evaluation needs shape the service. There is no implied universal 24/7 commitment.
Explore your requirementsCan you take over an existing project?
Subject to a review of code, access, dependencies, documentation and risks. The first work may be establishing missing tests and monitoring.
Is hosting included?
It can be included in the agreed scope. Infrastructure consumption, engineering and management responsibilities are identified separately.
What should AI do
for your business?
Tell us what you want to build, connect or improve.
We’ll help define the architecture, the delivery and what it takes to run it.