We build, deploy, and run AI systems that actually scale.
OpsGenius designs, engineers, containerizes, hosts, and operates production-ready AI systems and DevOps infrastructure — so your business runs reliably without the engineering overhead.
From AI agents to DevOps and cloud infrastructure — we own the entire operations layer, whether we built it or inherited it.
The Gap Between AI That Launches and AI That Runs
Getting AI to production is the easy part. Keeping it running reliably — monitored, optimized, and actively managed — is where most teams end up on their own.
Most stall because nobody owns deployment, infrastructure, or ongoing operations — not because the AI didn't work.
Agencies build the system then hand it off. Hosting, DevOps, and ongoing reliability become your problem.
Systems built without a deployment and operations plan create expensive emergencies down the road.
Most teams don't have a build problem. They have an operations problem.
AI that technically runs but nobody is actively monitoring, managing, or improving. Whether you're building from scratch or handing off existing infrastructure — that's exactly what we fix.
Four ways to work with us.
From standalone AI builds to taking over your entire operations layer — every engagement comes with infrastructure and DevOps support.
AI Automation Systems
Custom-built pipelines that automate lead generation, outreach, and internal operations — engineered for your workflows.
- Lead capture and qualification automation
- Outreach and follow-up sequences
- CRM and back-office integrations
- Custom prompt and workflow engineering
AI Agents
Voice and chat agents that handle calls, answer questions, and support your team — running 24/7 without human escalation.
- Voice agents for inbound and outbound calls
- Chat agents for web, support, and sales
- Internal copilots for operations teams
- Trained on your data and processes
Infrastructure & DevOps
Managed AWS and Azure infrastructure, CI/CD pipelines, container orchestration, and ongoing maintenance — we handle the full DevOps layer.
- AWS & Azure cloud setup and management
- CI/CD pipelines and Kubernetes support
- 24/7 uptime monitoring and alerting
- Security hardening and cost optimization
Fully Managed Operations
We design, build, host, and run it — or step into what you've already built. One engagement, full ownership.
- End-to-end ownership of your AI stack
- Dedicated hosting and DevOps management
- Monthly iteration and optimization
- Priority support and expansion roadmap
What makes OpsGenius different.
Most competitors stop at "we build AI." We build it, host it, and keep it running — so you never have to think about the infrastructure layer.
We Don't Just Build
We operate what we build — and what you've already built.
Most teams end up with AI infrastructure and no one accountable for keeping it running. OpsGenius owns the operations layer — whether we built the system or stepped into an existing one. When something breaks or traffic spikes, we respond.
No Engineering Overhead
No internal DevOps or ML engineers required.
You don't need to hire a DevOps team or figure out cloud infrastructure. We handle the backend stack, CI/CD pipelines, cloud environments (AWS & Azure), container orchestration, and scaling so your team can focus on using the system — not maintaining it.
Built for Production
From idea to live, production-ready system.
We design systems to run at real business scale from day one — not experiments you'll have to rebuild later. Every system we deploy is monitored, documented, and set up to grow with your operation.
This is what managed operations looks like.
Not a promise — a real view of the systems we run for clients, every hour of every day.
Uptime
99.9%
last 90 days
Requests Today
0
processed
Active Agents
0
running now
Last Deploy
2h ago
zero downtime
Service health
Representative of live systems under OpsGenius management
Latest Thinking
AI insights and strategies from our team.
Observability for AI in Production: Logging, Metrics, and Alerts That Actually Matter
Traditional application monitoring tells you if your system is running. AI observability tells you if it's working. The gap between those two things is where production AI problems live — and where most teams have blind spots.
The Outbound AI Playbook: Building a Lead Generation System That Runs Without You
Most AI outreach implementations fail for the same reason: they automate the mechanical parts of outreach while leaving the judgment-dependent parts to humans. Here's how to design a system that handles both.
Why AI Systems Break in Production (and How to Build Them So They Don't)
AI systems fail differently than traditional software. The breaks are quieter, harder to detect, and often invisible until they've compounded into a real problem. Here's what production reliability actually looks like for AI.
Ready to get your AI system built and running?
Tell us what you're trying to automate or modernize — AI systems, DevOps pipelines, or cloud infrastructure. We'll scope it, build it, and run it without you needing an engineering team.
Frequently asked questions
Everything you need to know about our AI systems, DevOps packages, and how we work with clients.