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Managed AI Operations

We run what we shipped, under an SLA.

AI systems degrade quietly. A model version changes, a source schema moves, a prompt that worked in July stops working in October — and nobody notices until a business process has been wrong for a week. Managed AI Operations puts SandRock on the other end of that. We monitor agent runs, connectors, and output quality, respond to incidents against a 99.9% uptime SLA, keep models and prompts current as vendors ship, and report cost per run so the programme stays defensible to the people funding it.

Scope and deliverables.

Monitoring, incident response, model and prompt maintenance, and cost control for AI systems already in production — backed by a 99.9% uptime SLA.

Run monitoring and alerting

Every agent run, tool call, and connector is watched, with alert routing and runbooks that name an owner rather than a queue.

You receive

  • Monitoring dashboards for runs and connectors
  • Alert routing and on-call runbooks
  • Monthly reliability report

Incident response to a 99.9% SLA

An agreed severity matrix and response times, so a stalled workflow has a named path back to running instead of an email thread.

You receive

  • Severity matrix and response times
  • 99.9% uptime SLA
  • Post-incident reviews with fixes tracked

Model and prompt maintenance

Model versions, prompts, and evaluations kept current as vendors ship, with regression checks run before anything reaches production.

You receive

  • Evaluation suite per workflow
  • Regression checks before every change
  • Model upgrade notes and tested rollbacks

Cost and quality reporting

Cost per run, output quality, and how often a human overrides the agent — reported monthly, because that is what renewal turns on.

You receive

  • Cost-per-run reporting by workflow
  • Output quality and approval-rate scorecards
  • Quarterly optimisation review

How the engagement runs.

Every stage produces something you can act on before the next one starts.

  1. Take over the running system against an agreed severity matrix
  2. Instrument runs, connectors, and output quality end to end
  3. Monitor and respond within the 99.9% uptime SLA
  4. Keep models, prompts, and evaluations current as vendors ship
  5. Report cost per run, quality, and approval rates every month
  6. Review and optimise the workload every quarter

Start with Managed AI Operations.

Tell us where your systems stand today and what you need running by when. We reply from Riyadh, in Arabic or English.

Tell us what you’re building.

Whether you’re scoping a first AI initiative or scaling one that’s already live, we reply from Riyadh — in Arabic or English.

Address
9075 Riyadh Front, King Khalid International Airport, Riyadh, Saudi Arabia