The AI assistant inside the New Relic monitoring platform, now called New Relic AI, that turns plain questions into data queries.
New Relic Grok is the AI assistant built into New Relic, a platform engineers use to monitor app and system health; the company now calls it New Relic AI. Engineers type a question in plain English, in more than 50 languages, and the tool writes the matching query. It can explain an error down to the line of code, summarize a dashboard, point out gaps in alert coverage, and draft a report on how a recent change affected system health. It runs on large language models, some from OpenAI, and builds on New Relic's own telemetry data. It is built into the core platform, so any Full Platform User can use it, but it is not yet open to customers on FedRAMP or HIPAA-restricted accounts.
This fits a team that already sends logs, metrics, and traces into New Relic, and helps engineers who do not know query languages well get answers faster. A good starting point is a pilot with one platform team, checking how well plain-language questions match real query needs. New Relic prices seats under Standard, Pro, and Enterprise tiers, with a free tier covering 100 gigabytes of data a month; use that free tier, or a low seat count, as a planning start and confirm current pricing with New Relic. Two risks: trusting a generated query or summary without checking it against the raw data, and the FedRAMP and HIPAA restriction, which rules the tool out for regulated workloads on those plans.
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 New Relic AI (formerly Grok) 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.
Why it’s an alternative—
Compare with ScienceLogic Skylar AI (formerly SL1 AI)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.
Why it’s an alternative—
Compare with Atera AILogicMonitor's infrastructure monitoring platform, whose Edwin AI engine links alerts and points to a likely root cause.
Why it’s an alternative—
Compare with LogicMonitor LM EnvisionA unified IT device management tool whose AI features flag risky Windows updates before they roll out to the whole fleet.
Why it’s an alternative—
Compare with NinjaOne AIWhere to check the product, price, security, and support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
Want help moving from research to action? Explore TriVista’s AI consulting services →
