Keep it running
Managed AI Operations
Managed AI Operations keeps the AI systems we build running after go-live, for organisations in the UAE and the GCC.
What it does
Monitoring, re-testing on every change, Arabic quality review, cost control, model and vendor updates, a monthly review, and a named contact.
For everyone who fears lock-in or a project that dies after go-live
- Quality, speed, availability and cost watched, with alerts that reach a person first
- Re-testing on every model, prompt or data change
- Cost control per task and channel
- A monthly report and the next-use-case backlog
How we engineer it
LLMOps.
Prompts, models, tools and evaluation sets are versioned together and released in stages, with rollback. Every conversation and task is traced end to end. Cost is metered per task, channel and business unit, with alerts on drift in quality, cost or behaviour.
What we watch.
- Quality: task success and groundedness, scored on a sample of real conversations every week
- Latency, by channel and by step
- Cost per task, per channel and per business unit
- Escalation rate, and the reasons behind each handover
What we re-test on every change.
- Every model, prompt, tool or data change runs the full evaluation set before it ships
- Arabic and English quality are reviewed separately
- A worse score does not ship; a release can be rolled back in minutes
What the monthly review covers.
- The targets agreed at the start, against the month’s numbers
- Where the agent handed over and why, and what to teach it next
- Cost, and where it can come down
- The next use case, if there is one
Who you call.
A named engineer who knows your system, with an agreed service level and an alert that reaches a person before your customers notice.
Questions a careful buyer asks
- How do we stop?
- Month to month after launch, with a documented handover. You are never locked to a model or to us.
- Which AI models do you use?
- Whichever fits the task, the data rules and the cost. We are model-agnostic by design, so a model can be replaced without rebuilding the system.
- How is this different from a big consultancy?
- We are engineers. You get a working system, not a programme, and the people who built it stay to operate it.
In plain English
- LLMOps
- Running AI in production: monitoring, cost control, version control and safe updates.
Where it fits
The reason to choose Kwarix rather than a project: the people who built it stay to operate it.
Tell us about your business Talk to an engineer
Our AI consultant gathers the details and passes a report to one of our engineers, who replies by email, WhatsApp or phone.