Operate

Managed AI Operations / Fractional AI Engineering Lead

A system nobody owns decays. After launch we keep your AI systems working, affordable, and improving: monitoring quality and uptime, reviewing model and cloud cost, running security checks, updating workflows and models, and keeping the evaluation set current so regressions are caught before users notice. For teams without in-house AI leadership, a fractional AI engineering lead owns architecture decisions, vendor and model evaluation, delivery oversight, and the roadmap.

Scope

What you get

  • Performance and quality monitoring with regression tests
  • Monthly model and cloud cost reviews
  • Recurring security checks and dependency updates
  • Workflow and model updates as vendors change
  • Incident support with documented runbooks
  • Architecture decisions, vendor evaluation, and team enablement

Fixed scope

Packages

PackageDurationDeliverables
Managed AI OperationsMonthlyPerformance monitoring · Cost reviews · Security checks · Updates · Incident support
Fractional AI Engineering LeadMonthlyArchitecture decisions · Vendor and model evaluation · Delivery oversight · Roadmap · Enablement

Security by default

Built into every engagement

All 12 baseline controls
  1. 01Data classification and data-flow mapping first
  2. 02Model and vendor terms reviewed for retention
  3. 03Least-privilege access for tools and agents
  4. 04Identity-aware access for staff, customers, admins
  5. 05Secrets managed — never in code or prompts
  6. 06Separate dev, test, and production

Next step

Book an AI Systems Readiness Call

Tell us about the workflow. We will tell you whether Managed AI Operations is the right first step, and what it would take.

Book an AI Systems Readiness CallView all services