Internal AI Systems & Operations
Run AI like critical infrastructure.
AI ops: monitoring, evals, governance, and on-call for AI systems in production.
What this engagement is.
Once AI systems are in production, they need to be operated like any other critical system. SAZ AI operations engagements stand up the monitoring, evaluation, governance, and on-call practice required to run AI safely at scale.
What you should expect.
Outcome-led scoping — every engagement is measured against specific business outcomes.
- Production observability for every AI system
- A regular evaluation regime
- Governance policies and review process
- On-call rotation and incident playbooks
What the team brings.
Monitoring & Observability
Latency, cost, quality, and drift monitoring.
Evals
Offline and online evals with regression tracking.
Governance
Policy, approvals, and audit logging.
On-Call
Rotation, runbooks, and incident response.
How an engagement runs.
Inventory
Catalog every AI system in production.
Instrument
Stand up monitoring, evals, and governance.
Operate
Hand off with playbooks and on-call.
Questions buyers ask.
Internal AI Systems & Operations across Canada.
SAZ delivers this engagement across our Canadian footprint — from Vancouver to Halifax.
Engagements that pair with this.
AI Implementation
Hands-on engineering teams that ship production-grade AI systems on your stack.
AI Infrastructure
Vector stores, retrieval, evals, observability, and platform engineering for AI systems.
Systems Architecture
Pragmatic architecture for systems that will need to evolve for years, not just ship for the launch.
Want to scope a Internal AI Systems & Operations engagement?
A senior partner will respond within one business day.