Resolve review

Resolve is an enterprise IT resolution platform that sits between incoming work and the systems where IT teams act. It takes requests, alerts, and AI decisions, then uses AI reasoning and context to choose a next step within deterministic workflows. The aim is to automate repetitive operations while keeping actions governed and auditable.

The homepage presents a platform and AgentLab, a tool for designing, testing, and deploying agents. It does not establish whether the product runs as vendor-hosted SaaS, customer-hosted software, or a hybrid deployment; confirm that architecture with Resolve before planning an implementation. It is positioned as an orchestration layer, not as a standalone library or CLI. Resolve says it orchestrates across 500+ systems, while the annual subscription lists 1,300+ native integrations. The target use cases include request automation and alert remediation across ITSM, cloud, AIOps, security, network, identity, and enterprise systems.

The homepage names an Integrations & APIs area and says Resolve connects “from API to CLI.” It does not give a protocol or API style, so developers should confirm whether their integration uses REST, webhooks, a command-line interface, or another surface. The site does not name SDKs or programming languages; confirm SDK support and language coverage in Resolve’s developer docs before choosing an implementation path.

Integration is the clearest entry point: the homepage names ServiceNow, Jira, Microsoft 365 and Active Directory, Exchange, Azure, Intune, Teams, Slack, Workday, Datadog, Splunk, Okta, SolarWinds, AWS, and LogicMonitor. The annual plan lists 1,300+ native integrations and thousands of workflow templates. AgentLab is described as a place to design, test, and deploy agents, but the homepage does not detail its development or deployment workflow. Ask for API authentication, versioning, error handling, rate limits, and examples for the systems you plan to connect.

Resolve sells a custom-scoped annual subscription for global enterprises automating IT work. The vendor does not publish a starting price or annual amount, and monthly billing is not listed. There is no free plan or free trial in the pricing information, so teams should expect to scope requirements with sales rather than start with a self-serve tier.

The annual plan includes RITA, Jarvis, and AgentLab, 1,300+ native integrations, thousands of workflow templates, and one forward-deployed engineer. It also states that there are no token, conversation, or AI-credit charges. That makes those AI usage measures less likely to drive the bill directly, but the subscription’s scope and price are custom; ask how environments, workflows, integrations, and support affect the quote. A Technical Support Engineer is an add-on, with its price available from the vendor. The pricing information does not give usage overages or rate-based charges, so get the full commercial terms in writing before estimating production costs.

Resolve is presented as an enterprise platform, not as an open-source project or installable developer library. The vendor does not publish the software license or whether customers can self-host it in the homepage information; confirm both deployment rights and hosting responsibilities in the contract. The product’s deployment model should be established before you design around access to internal systems or data.

The homepage also does not describe data export formats or a workflow migration path. Ask for an export covering workflow definitions, agent configuration, logs, and any operational history your team needs to retain. Migration effort will depend on how much of your process lives in Resolve’s workflows and integrations, and whether those can be represented in another automation system. Treat portability as a procurement requirement, not an assumption.

Resolve’s stated control model pairs non-deterministic AI with deterministic workflows to reduce hallucination risk and produce consistent, auditable outcomes. The homepage also lists Governance & Security and Automation Vault. Those are useful signals for an enterprise evaluation, but they do not answer implementation questions about approvals, audit-log retention, access controls, encryption, data residency, or compliance attestations. Ask Resolve to document the controls that apply to your deployment and data.

Before relying on the platform for incident response or provisioning, get written limits for API requests, workflow concurrency, execution time, retries, and integration-specific quotas. The homepage does not publish those operating limits or service-level commitments. Test failure handling and rollback paths with the systems you plan to connect, and verify what happens when an upstream API is unavailable or an AI decision cannot proceed. Confirm the annual subscription scope and support response terms against your expected production workload.