Resolve AI
Resolve AI is a no-code platform that enables users to create custom AI chatbots for customer support. The AI chatbots are trained on the u...
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What is Resolve AI?
Resolve AI (Resolve.ai) is an AI-first operations platform that acts like an AI Site Reliability Engineer (SRE) to investigate alerts, triage incidents, and propose or execute remediation across code, infrastructure, telemetry, and knowledge. The product connects to observability tools, runbooks, wikis, chats and source code to build a contextual model of production systems so agents can gather evidence, form causal timelines, and surface root-cause hypotheses before a human on-call looks at the problem. It supports automation of repeatable production workflows (health checks, multi-step investigations, reports) and provides live collaboration hooks so human engineers can join or take over investigations when needed. The offering targets engineering and SRE teams at companies running production services that require faster, more consistent incident response and reduced on-call toil. The vendor positions Resolve AI as suitable for mid-to-large engineering organizations that need to scale incident response, reduce meantime-to-resolution, and encode team best-practices as repeatable automated workflows.
Resolve AI pricing
Pricing model: Free
Resolve AI publishes a self-serve pricing model with a free tier for evaluation and paid tiers for production use; paid plans start at a business tier (reported starting around $99/month) and include usage up to plan caps, public API access, and self-serve card checkout. The free/forever tier is positioned to allow trial and evaluation, while higher tiers add production-scale usage caps, integrations, and enterprise features such as broader system connectors and API keys. Specific seat, usage, and enterprise licensing details are handled via the pricing page or sales contact for larger customers.
Resolve AI pros
- Autonomous incident investigation across multiple telemetry and code sources
- Builds causal timelines that surface probable root causes
- Connects to observability, code, infra, and knowledge stores in a few clicks
- Can propose concrete remediation steps and fixes
- Orchestrates parallel hypothesis-driven investigations to save time
- Encodes runbooks and team practices as repeatable automated workflows
- Provides live collaboration so humans can join investigations when required
- Reduces on-call toil by preparing evidence before an engineer opens the alert
- Automates health checks and on-demand multi-step investigations
- Synthesizes findings into concise, shareable incident summaries
- Integrates with common incident channels to drive collaborative remediation
- Notifies teams about new conversations and live agent requests
- Customer-proven at scale (enterprise customers cited)
- Self-serve signup and API access available for integrations
- Agent reasoning that learns from runbooks, wikis, chats and historical guidance
Resolve AI cons
- Pricing and plan caps may start at a business-tier level (paid plans for production use)
- Onboarding requires connecting multiple data sources which can be time-consuming
- May require tuning and governance to avoid incorrect automated actions
- Dependence on the quality and completeness of runbooks and docs for accurate reasoning
- Potential security and access-control configuration required to allow agents into production systems
- Enterprise-scale integrations (pipeline, infra, observability) can require engineering effort
- Not a simple plug-and-play chatbot for general FAQs—focused on SRE/production use cases
- Limited visibility into proprietary reasoning steps may complicate auditability
Frequently asked questions about Resolve AI
What types of systems and data sources can Resolve AI connect to?
Resolve AI connects to observability platforms, telemetry, logs, monitoring tools, source code repositories, infrastructure (cloud and Kubernetes), runbooks, wikis, and chat systems so its agents can gather evidence and build causal timelines across the whole stack.
How does Resolve AI generate a root-cause hypothesis?
Agents gather signals from integrated telemetry, logs, code paths and runbooks, correlate them into causal timelines, and then present prioritized root-cause hypotheses synthesized from that evidence so engineers start investigations with a head start.
Can Resolve AI execute automated remediation or only propose fixes?
Resolve AI can both propose concrete remediation steps and execute encoded multi-step automated workflows where configured, while offering live handover so humans can review or take control before or during execution.
Is Resolve AI suitable for small teams or only enterprises?
Resolve AI is targeted primarily at engineering and SRE teams responsible for production systems; while a free tier exists for evaluation, production-scale benefits accrue for mid-to-large teams that have complex telemetry and formalized runbooks.
What is required to start using Resolve AI?
To start you sign up (self-serve) and connect your production systems and knowledge sources; effective use requires supplying runbooks, granting read access to telemetry/logs/observability and optionally configuring automation permissions for remediation workflows.
How does Resolve AI reduce on-call toil?
By autonomously investigating alerts as they fire, assembling relevant evidence and causal timelines, surfacing probable root causes and proposed fixes, and automating repeatable investigation steps, Resolve AI reduces manual triage work and shortens the time engineers spend in war rooms.
Does Resolve AI provide integrations or an API for custom tooling?
Resolve AI offers public API access and self-serve integration options so teams can programmatically connect, fetch findings, and build custom automations or embed agent results into existing incident pipelines.
How does Resolve AI handle security and access to production systems?
Resolve AI requires secure connectors and permissioned access to observability, code and infrastructure systems; teams must configure access controls and governance so agents can read telemetry and, if authorized, run remediation workflows without exposing sensitive credentials.
How do teams collaborate with Resolve AI during an incident?
Resolve AI surfaces conversations and live agent requests in incident channels and supports human join-in so engineers can review evidence, accept or modify proposed remediations, and jointly drive an investigation to resolution.
What support or onboarding does Resolve AI offer for complex environments?
Resolve AI provides documentation, guided setup flows and support contact channels to help teams connect complex observability and infrastructure stacks, tune agent behavior, and encode runbooks into automated workflows for reliable production use.