ScienceLogic SL1 AI
The AI inside ScienceLogic's IT monitoring platform, now branded Skylar AI, that links events across a company's IT map and drafts root-cause explanations.
A tool that monitors employee desktop experience, with an AI chatbot that helps any IT staffer walk through a fix.
ControlUp Edge DX is a digital experience monitoring tool that watches physical desktops and unified communication tools in real time. It scores each employee's experience based on the apps they actually use. A generative AI chatbot walks IT staff through fix steps for common issues, which helps even less experienced staff. Edge DX also includes AI-based threat detection to spot and respond to security issues on endpoints faster. It targets problems that basic device management tools tend to miss, like slow app load times or poor call quality. ControlUp offers a free 50-user pack for Edge DX, so smaller teams can try the full feature set before buying a larger plan.
This fits a company with a mix of office and remote workers, where device experience is hard for IT to see, and an end-user support team that wants a chatbot to help junior staff fix issues without escalating every ticket. A low-risk starting point is the free 50-user pack, which lets you test scoring and the chatbot on a real, limited group of devices. Beyond that, ControlUp does not publish full list pricing, so get a quote scaled to your device count. One risk is chatbot guidance being too generic for unusual problems, so keep an escalation path to a human for anything outside common issues. Confirm current pricing and any per-device minimums with ControlUp directly.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $80.5K | $126.5K | $203.2K |
| Three-year total | $174.8K | $263.3K | $406.3K |
| First-year cost per unit | $80.5K | $126.5K | $203.2K |
| Average annual cost per unit (over three years) | $58.3K | $87.8K | $135.4K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $27K | $36K | $48.6K |
| Implementation | $13.2K | $22K | $37.4K |
| Integration | $14.3K | $26K | $46.8K |
| Staff time and change management | $8.4K | $12K | $16.8K |
| Security | $6.7K | $9.5K | $14.3K |
| Administration | $4.9K | $6.5K | $8.8K |
| Support | $2.3K | $3K | $4.1K |
Estimate assumptions: Based on 1 production deployment. This is a planning allowance, not verified product pricing. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of ControlUp Edge DX AI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
The AI inside ScienceLogic's IT monitoring platform, now branded Skylar AI, that links events across a company's IT map and drafts root-cause explanations.
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