Sold by: ResolveAI
Deployed on AWS
ResolveAI puts its SRE's inside your production stack: on-call, incidents, and operational tasks, so your engineers get back to building. These AI SREs triage alerts, investigate the root cause with 95% accuracy, and cut MTTR by up to 5x. Extend ResolveAI via MCP, API, and Skills to Claude Code, Codex, Cursor, Slack, MS Teams, or your custom agents.
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Overview
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Investigation canvas
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Root cause
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Background Agents
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Deployment Monitoring
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Product video
ResolveAI is the AI SRE platform that runs your production reliably. ResolveAI SREs run across your enterprise to automate reliability work and support shipping velocity: they close alerts, resolve incidents, drive improvements, and automate operational tasks.
ResolveAI SREs
- Owns the outcome: Unlike AI assistants that only recommend, ResolveAI SREs own the production results: fewer pages, faster mitigation, higher root-cause accuracy, lower cost per task.
- Share a HiveMind: Reliability system of record for your enterprise. It gives your teams what's happening in production right now: state, alerts, and recent changes. Connects the dots across on-call and incidents, across every team's stack.
- Always at the frontier: Our own domain models and the best frontier models, combined by an architecture built to get the correct answer at the best price/performance.
In production at DoorDash, Coinbase, Expedia Group, Snowflake, MongoDB, Toast, Eventbrite, and Zscaler, ResolveAI drives up to 5x faster MTTR and 75% higher engineering productivity. DoorDash saw 87% faster incident investigations after putting ResolveAI on-call for its advertising platform.
ResolveAI is SOC 2 Type II, GDPR, and HIPAA compliant, with SAML SSO, RBAC, and admin controls; customer-isolated data with encryption and retention controls.
Highlights
- A harness of specialized agents for production operations. Separate agents triage, investigate, and verify in parallel, with a dedicated verifier model re-checking every finding against production evidence before it's finalized. Models are post-trained for causal reasoning across production systems, not just correlation, and paired with the best available frontier models, continuously evaluated and upgraded as new models ship.
- Collaborative canvas for humans and agents to get to RCA and remediation quickly. Steer any theory in natural language, run your own queries alongside the agent, and merge what you find back into the report without leaving the surface. Ask the agent direct questions and get evidence-backed answers, loop in teammates on the same thread, and approve, redirect, or override any finding or action before it ships. Human and agent, working the same problem together.
- ResolveAI ships as a plugin for Claude Code, Cursor, and Codex, backed by an MCP server any other agent can call directly. Pull production context before a risky change, join a live incident investigation, and turn a root cause into a pull request, all without leaving your editor. Bring your own skills and tools; the same guardrails and audit trail carry over automatically.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Resolve AI SRE Custom Private Offer | Your AI SRE capable of handling alert investigations and RCA - request a private offer to receive a custom quote. | $1.00 |
Dimensions summary
This listing offers a single pricing option: a custom private offer billed on a contract basis. You request a quote rather than selecting a fixed price or tier. The vendor sizes your rollout based on your production workload, such as monthly alert volume and incident counts. Pricing scales with the amount of work the AI SRE handles, including alert investigations and root cause analysis. Units are set through the private offer, so the final quantity and terms reflect your specific environment. Contact the vendor to receive a tailored quote for your deployment.
Top-of-mind questions for buyers
Units are set within your custom private offer. The vendor sizes them to your production workload, such as monthly paged and general alert volume plus critical, high-priority, and other incident counts. The final unit count reflects the amount of investigation and root cause work the agents handle in your environment.
Pricing scales with the production work the AI SRE handles. Higher monthly alert volume and incident counts size a larger rollout. Because units are set through the private offer, an increase in workload is reflected when the vendor sizes and quotes your deployment rather than metered automatically per event.
The AI SRE handles alert investigations and root cause analysis. It joins on-call rotations, triages alerts, pursues incident hypotheses, monitors deployments, and drafts operational reports. Engineers direct the agents and approve actions. This scope determines how the vendor sizes your private offer.
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All fees are non-cancellable and non-refundable except as required by law.
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Request a private offer to receive a custom quote.
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Customer reviews
Deborah L.
Thoughtful AI Journaling, but More Free Access Needed
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I use Resolve.ai to track my personal goals and reflect on my thoughts and emotions. It helps me create healthier habits and supports me when I’m struggling with stress and anxiety, as well as helping me go back and reflect. I like how easy it is to keep track of my mental health and notes in one app, and it has more features than Apple’s Notes app. I value the AI chat for working through my thoughts and recognizing my emotional patterns by voice or text. The initial setup was pretty easy.
What do you dislike about the product?
I’d like to see more free features, since I’d appreciate more free daily AI conversations, unlimited access to journaling prompts, and access to all my saved thoughts before deciding whether a paid subscription is worth it. Sometimes the AI responses are repetitive, and I’d like more customization options for reminders and journal prompts.
What problems is the product solving and how is that benefiting you?
Resolve.ai helps me when I’m struggling with stress and anxiety, and helps me go back and reflect.
Anonymous
Accurate, Easy Triage That Protects On-Call Time
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I find Resolve.ai very simple, and it requires minimal configuration compared with other competitors. Its initial triage is fairly accurate and protects our on-call schedule by not pushing through frivolous, non-priority requests. It protects our team’s time and helps us get to priority issues faster instead of being bogged down triaging non-priorities. Setup was very easy. It also helps us manage an overloaded team and prioritize requests while keeping head count manageable as inbound requests increase rapidly.
What do you dislike about the product?
I find Resolve.ai isn’t as customizable as some competitors.
What problems is the product solving and how is that benefiting you?
I use Resolve.ai to augment our SRE team’s triage. It helps with our overloaded team, prioritization, and keeping head count manageable as inbound requests rapidly increase. Its fairly accurate triage protects the on-call schedule and team’s time, helping us get to priority issues faster without being bogged down by non-priorities.
Rahul A.
Resolve AI Streamlines Incident Response and Cuts MTTR with Real-Time Root Cause Analysis
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
What stands out most about Resolve AI is how well it streamlines incident response and automates routine operational workflows. It significantly reduces MTTR by analyzing alerts and diagnosing root causes in real time, which saves our team from digging through repetitive log files. The seamless integration with existing monitoring tools and alerting systems makes it easy to incorporate into daily engineering workflows without adding unnecessary friction.
What do you dislike about the product?
The initial setup and onboarding process can feel a bit complex, requiring a learning curve for teams setting up customized automated playbooks. Also fine-tuning the AI's contextual understanding to avoid occasional false positives or edge-case misdiagnoses requires some initial manual oversight.
What problems is the product solving and how is that benefiting you?
Before adopting Resolve AI, our primary challenge was managing high volumes of repetitive system alerts and manually sifting through logs during incidents. This drawn-out troubleshooting process tied up valuable engineering bandwidth and slowed down overall resolution times.
Since implementing Resolve AI, it automatically synthesizes incident context, pinpoints root causes, and executes routine mitigation steps in real time. As a result, we have significantly cut down our Mean Time to Resolution (MTTR), reduced human error during critical outages, and freed up our team to focus on core development rather than constant firefighting.
Since implementing Resolve AI, it automatically synthesizes incident context, pinpoints root causes, and executes routine mitigation steps in real time. As a result, we have significantly cut down our Mean Time to Resolution (MTTR), reduced human error during critical outages, and freed up our team to focus on core development rather than constant firefighting.
SANIE D.
Resolve AI Delivers Value with Feature-Rich Support
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
Focus on the features, benefits, or experiences that have delivered the most value to you. Including specific examples can help others better understand your perspective.
What do you dislike about the product?
I dislike that Resolve AI’s suggested solutions don’t always fix the issue, so I still end up needing additional troubleshooting or an escalation.
What problems is the product solving and how is that benefiting you?
Resolve AI helps me troubleshoot customer issues by offering clear guidance and recommended next steps. It benefits me by making it easier to identify a potential solution and to recognize when an issue needs additional assistance or should be escalated.
Amir K.
Saves 25–30 Hours Weekly with Powerful AI Incident Resolution and Predictive Insights
Reviewed on Oct 20, 2026
Review provided by G2
What do you like best about the product?
I use their automated AI resolution engine every day to route and resolve Tier-1 and Tier-2 incidents for our enterprise service desk. It saves our IT team roughly 25–30 hours of manual triage each week. On top of that, the sleek UI and deep integrations with ServiceNow and Slack make it easy to close tickets automatically, without any noticeable lag. One unexpected but major benefit is the platform’s predictive insights: they surface recurring patterns like VPN issues or password resets and give us system-wide warnings before major outages happen, which helps us prevent downtime altogether. During initial onboarding, their technical support team fully assisted us with training the model using our existing knowledge-base articles, so the software was up and running from the very first week.
What do you dislike about the product?
Configuring trigger logic while building complex, custom, multi-step workflows can be somewhat time-consuming. If they added pre-built IT templates and a live simulation tester within their visual workflow builder, it would make it much easier to deploy new automation rules.
What problems is the product solving and how is that benefiting you?
Previously, we were handling a high volume of tickets every day, and our initial response times were slow, which led to more user complaints. Now we’re able to resolve about 60% of routine IT requests instantly, with no human intervention, and we’ve seen a 45% reduction in our Mean Time to Resolve (MTTR) for tickets. By removing repetitive, recurring support work from the team’s workload, they can spend more time on core infrastructure projects instead of constantly reacting to requests. This change has also contributed to a noticeable drop in our operational costs and delivered a clear, positive ROI.