We operate what we ship.
Most consultancies leave at go-live. We stay: managed AI operations, 24×7 platform operations, and cost control under real SLAs — run by the engineers who built the system, on AWS, Azure, or Google Cloud.
Who keeps the AI honest after go-live?
We do — with evaluation suites that run on every change, drift monitoring on live traffic, and guardrail tuning as your data and models evolve. An AI system without operations is a liability with a demo.
Can you take over a platform someone else built?
Yes. A two-week discovery sprint maps the estate, the risks, and the quick wins. You get the findings whether or not you engage us further — then onboarding into managed operations is measured in weeks.
What does an SLA look like for an AI system?
The same as for any production system, plus quality: availability and response-time targets, incident severities with response commitments, and measured answer-quality thresholds with an agreed process when they slip.
Three ways we deliver Managed Services.
AI Ops
Managed AI operations
Continuous assurance for systems that think: quality, safety, and cost of your AI workloads, managed as a discipline.
- Evaluation suites on every model, prompt, or data change
- Drift, quality, and safety monitoring on live traffic
- Model and provider swaps as better options ship
- Token-level cost tracking per workload
Platform
Managed cloud platform
24×7 operations for your cloud estate — monitoring, patching, and incident response with the discipline of site reliability engineering.
- 24×7 monitoring and alerting across your clouds
- Patching, backup, and recovery on a published cadence
- Incident response with severities and SLA commitments
- Reliability engineering: error budgets, post-incident reviews
Improve
FinOps & continuous improvement
A monthly engineering review — not a status call. Costs go down, reliability goes up, and the backlog of small improvements actually shrinks.
- Monthly cost, reliability, and security review with actions
- Right-sizing and reserved-capacity management
- Continuous hardening against evolving baselines
- Quarterly architecture health checks
One team from architecture to the 3am page. No hand-offs, no blame gaps.
Two weeks from discovery sprint to findings; weeks — not months — to full management.
Every month the platform is measurably cheaper, safer, or faster than the last.