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.
The built-in AI assistant for the Freshservice IT help desk that drafts ticket replies and resolves some employee requests through chat.
Freshservice Freddy AI is the AI layer inside Freshservice, an IT service desk tool from Freshworks. It has three parts. Freddy AI Copilot drafts replies, summarizes tickets, and surfaces knowledge articles for support agents. Freddy AI Agent handles self-service through Slack, Microsoft Teams, or a web portal and can resolve simple requests without a human. Freddy AI Insights covers predictive analytics, such as flagging tickets likely to miss a deadline. Freshworks reports that Freddy AI Agent deflects an average of 66 percent of tickets from human agents. Freddy AI is only on the Pro and Enterprise plans, and each plan includes a set number of AI Agent sessions per year.
This fits a company running, or planning, an IT service desk with a steady stream of repeat requests like password resets, and a support team that wants to cut ticket volume through self-service before adding more headcount. A sensible pilot is turning on Freddy AI Copilot for one support team on the Pro plan, which costs about 99 dollars per agent per month as a planning figure; Freddy AI Copilot itself adds about 29 dollars per agent per month on top of that. Freddy AI Agent for full self-service comes bundled with the pricier Enterprise plan. Watch your annual AI session count, since going over the included sessions can trigger extra costs, and confirm current session limits and pricing with Freshworks before you commit.
How one company factor at a time moves the modeled score. The published score is unchanged.
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: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. 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 Freshservice Freddy 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.
A built-in AI assistant for Atera's remote IT monitoring tool that diagnoses devices, writes scripts, and drafts ticket replies, now free in every plan.
LogicMonitor's infrastructure monitoring platform, whose Edwin AI engine links alerts and points to a likely root cause.
A unified IT device management tool whose AI features flag risky Windows updates before they roll out to the whole fleet.
Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
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