Keep Production Reliable, Observable, and Cost-Governed
Managed Production Operations covers ongoing reliability engineering, cost governance, observability integration, and AI system monitoring — an optional extension of AI-MSL for teams that want production operations handled in the same governed model.
Trusted by teams running production software
For production environments that need reliability without the ops treadmill
Production environments demand constant operational attention — reliability engineering, cost control, observability, and increasingly the monitoring of AI systems themselves. For most teams, that work competes directly with building the product.
Managed Production Operations extends AI-MSL with CloudOps and hosting services: production signals feed back into the lifecycle, so operations inform evolution instead of just firefighting. It's optional — never required for AI-MSL participation.
“Operations isn't what happens after shipping. It's where the system tells you what to build next — if you're listening.”
Co-Chair, LF AI & Data committee
What Managed Production Operations covers
The areas of work AI-MSL covers — scoped to your system through assessment and executed under continuous lifecycle governance.
You always have visibility into how your production environment runs — and what it costs to keep it reliable.
Managed Operations Start With Understanding Your System
Every AI-MSL engagement begins with a comprehensive system assessment. Using AppGraph and AI-MSL analysis, we evaluate your applications across 20+ dimensions — producing a prioritized report of operational risk and where reliability and cost can improve.
With AI-MSL, managed Ops is not a one-time setup — it becomes a continuous discovery process that keeps your systems reliable and cost-governed.
Pay for Changes— Not Headcount
Traditional operations bills for standing capacity — an ops team you fund around the clock. AI-MSL works differently — every fix, optimization, and reliability improvement is a delivery-ready change you can evaluate, prioritize, approve, and measure independently.
One Completed Governed Software Change
Delivered in cycles. Governed by design.
Operations in 2–3 day cycles
Most operations work is decomposed into small, governed cycles — each delivering an independent, validated improvement to a system you keep running.
Governance built into every change
Operations work still touches critical systems, customer experiences, and live infrastructure. Every change passes through AI-MSL governance controls before deployment.
cycles
gates
“Teams keep production reliable and cost-governed without sacrificing quality, accountability, or operational control.”
Nick Chase · Chief AI Officer, CloudGeometry
What you can count on every cycle
The same shape, every time — predictable, measurable, and prioritized.
What a cycle looks like in practice
Representative changes — each delivered as one governed cycle.
Is Managed Production Operations right for you?
You're in the right place if:
Not sure
it's a fit?
Managed Production Operations is an optional extension — never required for AI-MSL participation. If the platform itself needs evolving first, Cloud & Infrastructure Evolution may be the better entry path; if keeping the software current is the bigger need, see Software Maintenance — every service runs on the same governed lifecycle. Or start with the assessment, and it will point you to the right one.
Outcomes you can measure
Managed Production Operations become measurable — across reliability, cost, risk, observability, AI oversight, and readiness for what's next.
Operations Proven in Production
Production environments operated and evolved under governance — compliance reporting held, audits passed, systems running for years.
Longroad Energy
Production system processing 2.5 GB of daily telemetry from 6,000 renewable energy devices. AI-MSL delivered evaluation, requirements, and implementation-ready specification through governed phases with human gates at every transition.
Production stays boring — exactly how we want it.
Nanox
A HIPAA-compliant AWS production system operated and evolved for over five years — through the transition to AI-MSL, the post-transition audit passed without findings, with delivery cadence compressed from multi-week sprints to days.
Reliability and audit-readiness stopped trading off against each other.
See What Managed Production Operations Under AI-MSL Look Like for Your System
Every engagement begins with a System Intelligence Assessment. You'll receive a clear analysis of your architecture, technical debt, AI-readiness, and expected AI-MSL operating cost.