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.
An AI debugging agent inside the Sentry error-tracking tool that finds the cause of a bug and opens a fix as a pull request.
Sentry is an error tracking and application monitoring tool that developers use to catch bugs in web and mobile apps. Its AI agent, called Seer, reads a crash report and finds the likely cause using logs, stack traces, and code context. Seer explains each bug in plain language, can write a code fix, and opens that fix as a pull request. It now works during local development and code review, not just in production. Teams install Sentry with a software developer kit in their app, and admins manage users, projects, and single sign-on from one console. Seer is a paid add-on at 40 dollars a month per active contributor, meaning anyone who opens two or more pull requests in a Seer-enabled code repository.
This fits a software team with several active codebases that still tracks errors by hand, often by digging through log files. A good start is one or two repositories on a Team or Business plan. Budget the base Sentry plan first, then add Seer as a separate line item at about 40 dollars a month per active contributor; treat this as a planning estimate and confirm current pricing with Sentry. Two risks: Seer can suggest a fix that looks right but misses a deeper cause, so have a senior engineer review any auto-generated pull request before merging it, and the per-contributor fee can grow fast for a large team with many small repos.
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 Sentry 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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