How do I justify SentinelOne's cost to finance? Need concrete ROI numbers.

I've been tasked with building the business case for a SentinelOne deployment to replace our current, more traditional AV. Finance has pushed back, stating the per-endpoint cost is significantly higher than our incumbent solution, and they want a concrete, quantitative ROI analysis before even considering a proof of concept. They've asked for hard numbers, not just "better security" platitudes.

From my analysis of our current logs and incident reports, I believe the ROI comes from several operational and risk reduction areas. I'm looking to this community to validate my assumptions and provide any specific metrics you've used successfully. My initial model includes the following cost-avoidance and efficiency factors:

* **Reduction in Manual Triage & Investigation Hours:** Our current solution generates a high volume of low-fidelity alerts. Our SOC team spends a significant portion of their week manually collecting forensic data from endpoints (process trees, network connections, file artifacts) for investigation. SentinelOne's deep visibility and storyline feature should drastically cut this.
* **Current State:** Estimated 15 hours/week of SOC analyst time spent on endpoint forensic collection for alerts.
* **Assumed Improvement:** A conservative 70% reduction in that manual collection time.
* **Calculation:** `(15 hours * 0.70) * (average SOC analyst hourly cost * 52 weeks) = Annual labor savings.`

* **Containment & Remediation Speed (Mean Time to Respond - MTTR):** A critical incident last quarter involved a hands-on-keyboard attacker. The time from detection to full containment was 4 hours, as we had to remotely script isolation. The potential damage window was enormous.
* **Proposed Metric:** SentinelOne's instant remote kill/isolate could reduce active threat dwell time from hours to minutes. The ROI is the potential cost of data exfiltration or encryption during that dwell time. This is harder to quantify, but we can use industry averages for a data breach cost per minute/hour.

* **Consolidation of Agent Functions:** We currently have separate agents for vulnerability assessment, device control, and EDR. SentinelOne's Singularity Platform includes these modules. The hard cost savings here are the direct license renewals we would not pay.
* **Example:** We pay $X/year for our current vulnerability scanning agent across all workstations. This line item would be eliminated.

Where I need the community's help is in validating these numbers and providing any specific, tangible data points from your own deployments. For instance:

* What has been your measurable reduction in alert volume requiring manual intervention?
* Have you been able to quantify reduced dwell time in a post-incident analysis?
* Are there less obvious operational efficiencies, like the reduced bandwidth from a single agent versus multiple?

Furthermore, I plan to present a side-by-side comparison of a typical investigation workflow using our current tooling versus SentinelOne, using pseudo-code blocks to illustrate the time difference.

```bash
# Current Workflow for a suspicious process alert
1. SOC receives alert from SIEM (AV event: "Malware.Generic").
2. Analyst connects to endpoint via remote shell.
3. Manually collects running processes (ps), network connections (netstat), autostart entries, and file listings.
4. Pulls memory dump for later analysis (if capable).
5. Correlates data across multiple CLI outputs.
6. Decides on isolation/remediation -> scripts network quarantine.

# Proposed SentinelOne Workflow
1. SOC receives alert from SentinelOne console (includes full storyline).
2. Analyst reviews visualized process tree, network connections, file modifications, and registry changes in one pane.
3. Clicks "Kill Process" and "Isolate Machine" via single console action.
4. Initiates remote scriptless remediation (rollback) if needed.
```

The time delta between these two flows is where a large portion of the soft ROI lives. Any data, internal case studies, or even log analysis methodologies you can share to help me build an ironclad, finance-friendly business case would be immensely appreciated.