ROI is not automatic. It scales with how much of your stack Clarion can see and how much of your team’s judgment it can execute. This checklist covers the changes with the biggest payoff, in order.
1
Connect every signal source
Correlation and deduplication only work across the tools Clarion can see. Each missing integration is a blind spot where duplicate alerts still reach your team and context is missing from investigations. Start with your noisiest sources: SIEM, EDR, and cloud audit logs typically produce the most volume.
2
Put agents on your noisiest queues
Auto-resolution is the largest line in the ROI calculation, and it only happens where an agent is watching. Use the built-in templates to cover common workflows first, then point agents at whichever issue sources dominate your Analytics volume.
3
Codify your playbooks as skills
An agent with generic knowledge triages. An agent with your skills triages the way your best analyst would: it knows which systems are critical, which alerts are known-benign, and who to escalate to. Every playbook you capture also survives team turnover.
4
Tune alert filters
Alert filters decide which raw signals become issues at all. A few well-placed rules for known-noisy patterns cut your false positive rate directly, which is pure recovered time.
5
Add proactive monitors
Monitors on DNS records, endpoints, and infrastructure catch problems before they become incidents. Prevented incidents are the cheapest incidents.
6
Route approvals where people already are
Agents pause on sensitive actions until a human approves. If notifications land in Slack or Teams where your team already works, approvals take seconds and investigations do not stall waiting on a human.
How you know it is working
Watch the Analytics page month over month:- AI Auto Resolved should rise as agents and skills cover more of your queue.
- False Positive Rate should fall as filters and correlation absorb noise.
- Mean Time to Respond should fall as more issues get an instant first response.