Service / Operations
Problems caught before they escalate.
An AI operations agent that monitors your systems around the clock, detects issues before they become outages, and executes response playbooks automatically. Manual monitoring stops scaling the moment your systems multiply — this doesn't.
— CLAUDE · N8N · PAGERDUTY · GRAFANA
What it looks like running.
Not a dashboard login we control —
an instance you own.
AI Operations Agent — a live dashboard on your own warehouse — refreshed automatically.
24/7
MONITORING WITHOUT ON-CALL BURNOUT
50+
SYSTEM INTEGRATIONS
<1 MIN
FROM DETECTION TO PLAYBOOK EXECUTION
What you get
What's in the build
One-time fee. Documented. Owned by you.
Round-the-Clock Monitoring
01Health metrics tracked across your entire infrastructure — cloud, databases, APIs, SaaS tools — nights, weekends, holidays.
Predictive Alerts
02Patterns flagged before they become outages: disk filling, queues backing up, error rates creeping. Know what's about to break.
Automated Incident Response
03Playbooks execute instantly — restart the service, scale the worker, roll back the deploy — no waiting for a human to wake up.
Intelligent Escalation
04The right people notified at the right time with full diagnostic context, not a wall of raw alerts at 3am.
Custom Playbooks
05You define exactly how each class of issue gets handled — from alert-only to fully autonomous response — and tighten or loosen autonomy over time.
Use cases
Where it earns its keep
Infrastructure Watch
01Servers, databases, and queues monitored continuously; routine remediation handled automatically with a log of every action taken.
Integration Health
02API failures and webhook backlogs between your business systems caught and retried before data drifts out of sync.
E-Commerce Uptime
03Checkout flows, payment gateways, and inventory syncs verified end-to-end — because a silent failure on Saturday costs a weekend of revenue.
Backup & Job Verification
04Scheduled jobs, backups, and data pipelines confirmed complete — with automatic re-runs and alerts when they aren't.
Five phases. Thirty days to live.
Our process →01
Discover
Ops audit, process maps, ROI ranking.
02
Design
Architecture and tool picks — approved first.
03
Build
Constructed and tested against every edge case.
04
Launch
Deployment, training, real adoption.
05
Optimize
Monitoring, monthly reports, new wins.
Questions
AI Operations Agent — FAQ
How is this different from Datadog or standard monitoring?
Monitoring tools alert; this agent investigates and acts. It correlates signals, diagnoses likely cause, and executes the playbook you defined — escalating to humans with context when judgment is needed.
Can we trust it to take automatic action?
Autonomy is graduated. Start in alert-only mode, then allow safe actions like restarts and re-runs, then expand as the track record builds. Every action is logged, reversible where possible, and bounded by your playbooks.
What systems can it watch?
50+ integrations across cloud providers, databases, APIs, and SaaS tools — plus anything reachable by API or webhook. If it emits a signal, it can be monitored.
What does it cost?
A typical build is $7,500 one time, with ongoing costs limited to your model provider — usually $30 to $150 a month. Compare that against one prevented outage, or one quarter of on-call burnout.
How fast can it be running?
Live in 30 days for most builds: integrations connected, baselines learned, playbooks defined and tested. We follow Discover, Design, Build, Launch, Optimize.
Keep exploring
Related services
Prove the math
Where we go from here
Start with a call.
Thirty minutes, no pitch deck. We map your operations, find the friction, and show you where automation actually earns its keep. If there's no fit, we'll say so.
No subscription.
No lock-in.
No surprise invoices.