Predict incidents. Before the outage.
MELT data ingested, signals correlated across layers, early warnings detected. War rooms auto-created. MTTR reduced 40-60%.
$5,600 per minute of downtime. And you're reactive.
Alert noise drowns out real signals. No correlation between infrastructure layers. IT teams find out about incidents when users complain.
We correlate signals, detect early warnings, and trigger response before users notice.
Ingest. Correlate. Prevent.
Connect monitoring
Integrate with Splunk, Datadog, New Relic, PagerDuty.
AI correlates signals
Cross-layer analysis. Early warnings surfaced.
Response triggered
War room created, SRE notified, status updated — before escalation.
Results
| Before | After |
|---|---|
| Detection: After user complaints | Early warning before impact |
| MTTR: Hours | 40-60% reduction |
| Alert noise: Overwhelming | Prioritized actionable alerts |
Industry benchmark
PagerDuty AIOps customers report 87% fewer incidents, up to 91% alert noise reduction, and 14-70% faster MTTR. One customer reduced network failure resolution from 40 minutes to 2 minutes.
Technology
Tech stack
Build time
6-8 weeks
What our clients say
"Working with Ability.ai helped us streamline parts of our customer support and community management. Their automation tools saved our team time and made our processes more efficient."
Boiko Dmytro
COO
HOLYWATER
"Omg this is insane what you've done with the MVP without much direction from me. I appreciate the depth of your work and see so much long term work together."
Erik
NutraDirect
"From day one, Ability.ai brought a thoughtful, results-first approach to our partnership. They quickly understood our goals, proposed pragmatic solutions, and moved implementation forward with minimal friction. Their responsiveness and domain expertise have improved both our team’s efficiency and the impact of our campaigns."
Mike Rizzo
VP Sales
MarketingOps
Ready to get started?
Book a strategy call. We will scope your project in 30 minutes.
How we get there
Discovery call
30-minute conversation to understand your pain points and current workflow.
Scoping & proposal
We define the deliverables, timeline, and fixed cost for your starter project.
Build & iterate
We build, test, and refine with your team. You see progress every week.
Handover & scale
You own the system. No subscriptions. Scale to more solutions when ready.
Fixed-cost starter project. No platform fees. You own everything.
Questions about incident prediction
What signals does it correlate?
MELT data (Metrics, Events, Logs, Traces) from Splunk, Datadog, New Relic, and application logs. Cross-layer correlation identifies patterns that predict outages.
How does it prevent false alarms?
ML models trained on historical incident data learn what signal combinations predict real incidents vs. noise. Precision improves over time as it learns your environment.
What's the ROI?
IT teams typically reduce MTTR by 40-60% (hours → minutes for detection) and prevent 20-30% of incidents from escalating. For companies with $1M+/hour downtime cost, preventing even 2-3 incidents/year = $5M-$10M impact. Plus SRE capacity reclaimed from firefighting: 15-20 hours/week = $80K-$120K/year.
How long does implementation take?
6-8 weeks from kickoff to production. Week 1-3: MELT data integration. Week 4-5: ML model training on historical incidents. Week 6-8: Alert configuration and war room automation.
Do we own the system?
Yes. No platform fees. We build the infrastructure in your stack, hand over the keys, and you own it forever.