Agentic Index
Resolve AI vs TierZero (2026)
Resolve AI last verified ·TierZero last verified
Resolve AI and TierZero are both AI SREs that investigate and act on production issues with approval. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Resolve goes on call with a team of specialized agents that triage and investigate in parallel, on credit metered contracts through sales. TierZero auto investigates, triages and resolves production issues and sells per user plans, Starter at $75 a user a month and Pro at $100, billed yearly, with a free trial. Choose Resolve for investigations grounded in a maintained knowledge structure, and TierZero for memory across incidents at a published price.
On the Agentic Index production ops ranking, Resolve AI and TierZero both clear the bar: each documents all five resolution loop capabilities in full. 15 of the 38 vendors in the lane clear it. See the production ops ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Resolve AI and TierZero are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Resolve AI if
- Investigations should ground in a maintained knowledge structure.
- A team of specialized agents should work an incident in parallel.
- You prefer a credit metered enterprise contract.
Choose TierZero if
- You want a published per user price and a free trial.
- Memory should persist across incidents.
- Deployment choices beyond a hosted service matter to you.
| Feature | R Resolve AI |
T TierZero |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Resolve AIIntegrations & Tool Calling An integration catalog of about 40 systems covers AWS, GCP, Azure, Datadog, Dynatrace, Splunk, Grafana, New Relic, PagerDuty, ServiceNow, Sentry, Snowflake, GitHub, Atlassian, Slack and Microsoft Teams, plus any connected MCP server. On approval the agent creates silences, downtimes or mutes in Grafana, Datadog, AlertManager, Kloudfuse and Sumo Logic, opens fix pull requests and dispatches GitHub Actions workflows. SourceResolve docs llms.txt index, Mitigation Actions and Security and Administration; docs.resolve.ai/mitigation-actionsread 2026-10-22 |
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TierZeroIntegrations & Tool Calling The Incident Agent acts in the customer's systems with one click rollback and health validation, service restarts, feature flag toggles and pull requests with fixes. It connects through 50+ integrations, among them Datadog, PagerDuty, GitHub, AWS, GCP, Jira and Slack, and custom MCP servers add the customer's own tools. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Resolve AIWorkflow Orchestration A team of domain-specialized agents investigates in parallel, pursuing hypotheses that engineers can redirect, and verifies findings against production evidence, with a dedicated reviewer validating them. Custom agents compose Resolve's MCP, API and skills into the customer's workflows, and Temporal connects orchestration platforms. Sourceresolve.ai/product/incidentsread 2026-10-22 |
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TierZeroWorkflow Orchestration Separate Incident, Alert, Digest, Support and CI/CD agents each run their own workflow. Customers write investigation runbooks for the Alert Agents to follow, and the Incident Agent replays a past investigation trajectory, adapted to the new incident. Sourcedocs.tierzero.ai/features/prompt-studioread 2026-09-29 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Resolve AITriggers & Channel Coverage The On-call Agent goes on call on the customer's behalf, holding the pager and triaging alerts. Alerts arrive by PagerDuty, Splunk On-Call and alert webhooks from any source. Tasks run on a schedule or cron, when a matching message appears in a watched Slack or Microsoft Teams channel, or on demand, and the Teams app investigates alerts posted to alert channels. Sourcedocs.resolve.ai/tasksread 2026-10-22 |
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TierZeroTriggers & Channel Coverage When an incident is raised, TierZero joins and starts gathering context. The Alert Agent automatically investigates every alert coming in from Datadog, Sentry, PagerDuty, Buildkite, CloudWatch and Slack, and digests run on a schedule. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Resolve AIKnowledge Grounding & RAG Team Knowledge is a maintained store of runbooks, docs, dashboard guidance and skills at organization, team and personal level that Resolve activates dynamically during investigations, examining all knowledge tied to the alert and its owning teams. Skills follow the open Agent Skills format and load on demand, and Hivemind adds production state awareness across alerts and incidents. Sourcedocs.resolve.ai/team-knowledgeread 2026-10-22 |
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TierZeroKnowledge Grounding & RAG Investigations read logs, metrics, traces, code, deploys and runbooks at run time, and also draw on integrations such as Confluence and Notion and on Instructions and Skills that teams write. Longer lived knowledge sits in the Context Engine's knowledge graph, which works as organizational memory with a set scope, lifetime and delete path. Sourcedocs.tierzero.ai/features/context-engineread 2026-09-29 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Resolve AIMemory & State Persistence The agent keeps learnings it has accumulated, which its tasks can read, and proposes new runbooks and edits to team docs from a conversation or by reviewing completed investigations for lessons. Resolve does not say how those learnings are stored, reviewed or deleted, and Team Knowledge itself is written by people. Sourcedocs.resolve.ai/tasksread 2026-10-22 |
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TierZeroMemory & State Persistence The Context Engine is organizational memory, captured automatically from Slack, incidents and code changes and also added by users. It is stored as records with type, source, confidence, linked services and full version history. Knowledge persists even as people leave, every record can be inspected, updated or deleted, and agents replay past investigation trajectories from it. Sourcedocs.tierzero.ai/features/context-engineread 2026-09-29 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Resolve AIHuman Oversight & Guardrails Alert silences and fix pull requests run only after a person approves them in the Resolve UI or Slack. GitHub Actions workflow tools, in preview, also default to approval, and an admin can let an individual tool run on its own. The model that proposes actions never calls write APIs, which a separate engine executes, and write permissions are enabled per integration. Sourcedocs.resolve.ai/security-and-administrationread 2026-10-22 |
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TierZeroHuman Oversight & Guardrails Destructive actions need human approval and are recorded on a full audit trail. Rollbacks, restarts and feature flag changes run only after a person approves them with one click, and fix pull requests wait for human review. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Resolve AISecurity, Identity & Governance Customers get SSO (Google, Okta, Azure AD), SCIM directory sync with sign in enforcement, RBAC, access limited to roles, environments or namespaces, and audit logs. Compliance covers SOC 2 Type II, GDPR and HIPAA, backed by a trust center. SourceResolve security page and docs llms.txt index (Security and Administration pages); resolve.ai/securityread 2026-10-22 |
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TierZeroSecurity, Identity & Governance Teams sign in through SSO and SAML with Okta, Azure AD or Google Workspace. Role based access control and full audit logs are included, and SSO and RBAC start on the Pro plan. The platform is SOC 2 Type II and HIPAA compliant. Sourcetierzero.ai/pricingread 2026-09-29 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Resolve AIObservability & Auditability Each investigation shows an Evidence Trail with timestamps and verification and a Workbench of what each agent is doing. An Activity Dashboard records every action, including who proposed it, who approved or rejected it, when, and what was affected. Sourcedocs.resolve.ai/mitigation-actionsread 2026-10-22 |
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TierZeroObservability & Auditability Every AI investigation can be audited. Each incident shows a timeline, root cause findings with confidence and a five whys analysis, the agent's destructive actions are approved and recorded on a full audit trail, and investigations can be fetched through the API. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Resolve AIDeployment & Data Residency Customers choose between a shared multi tenant cloud and a dedicated single tenant cloud deployment with bring your own keys. The Satellite agent runs in the customer's Kubernetes or ECS, keeps credentials local and proxies queries into Resolve's cloud. There is no region list or customer environment option. Sourcedocs.resolve.ai/resolve-satelliteread 2026-10-22 |
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TierZeroDeployment & Data Residency TierZero runs as SaaS or in a private cloud, with on premises deployment on the Enterprise plan, and a Terraform provider is available. Sourcetierzero.ai/pricingread 2026-09-29 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Resolve AIPrebuilt Agents, Templates & Packs Separately named agents ship for their own jobs, namely the On-call Agent that holds the pager and triages alerts, the Incident Resolution Agent for root cause and mitigation, and Issue Remediation for recurring problems. Background agents for operational tasks start from a template library that includes a deploy health monitor, a daily digest, an alert triager and a resource report. Sourceresolve.ai/product/operational-tasksread 2026-10-22 |
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TierZeroPrebuilt Agents, Templates & Packs TierZero ships named agents that each do their own job. The Incident Agent handles root cause, remediation and post mortems, the Alert Agent investigates and groups alerts, the Support Agent answers infrastructure questions in Slack and the CI/CD Agent deals with flaky tests and the merge queue, alongside a Digest Agent. A prompt library of runbooks and instructions comes with them. Sourcetierzero.airead 2026-09-29 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Resolve AIModel Flexibility & Routing Resolve uses frontier LLM models combined with domain-specific models, without naming a provider, and customers cannot choose a model. Sourceresolve.airead 2026-10-22 |
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TierZeroModel Flexibility & Routing TierZero does not name its model provider, and customers cannot choose a model. Prompt Studio tunes prompts, not models. Sourcedocs.tierzero.ai/features/prompt-studioread 2026-09-29 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Resolve AIAPIs, SDKs & MCP Extensibility A REST API at app0.resolve.ai with bearer personal or organization tokens triggers, lists and reads investigations, alongside a Resolve MCP server, plugins for Claude Code, Codex and Cursor, and skills in the open Agent Skills format. Sourcedocs.resolve.ai/resolve-rest-apiread 2026-10-22 |
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TierZeroAPIs, SDKs & MCP Extensibility A REST API at api.tierzero.ai, authenticated with an organization API key, creates, updates, enables and deletes alert agents and digest jobs, fetches investigations and submits questions. TierZero also runs its own MCP server at api.tierzero.ai/mcp, using OAuth 2.1 or a personal token, and offers a Terraform provider. API access is on Pro and Enterprise. Sourcedocs.tierzero.ai/references/tz_apiread 2026-09-29 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Resolve AITesting, Debugging & Optimization A change can be evaluated against an earlier result. After updating knowledge or integrations, Reinvestigate alert re-runs the same alert so the new result can be compared against the original, and thumbs up or down verdicts on each report collect under Analytics, Feedback. Sourcedocs.resolve.ai/tuning-accuracyread 2026-10-22 |
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TierZeroTesting, Debugging & Optimization Prompt Studio lets customers test investigation runbooks against real alert payloads to see how TierZero would investigate, and compare prompt versions side by side to evaluate improvements before saving them back to agents. No scoring is described. Sourcedocs.tierzero.ai/features/prompt-studioread 2026-09-29 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Resolve AIBrowser & Computer Use Work runs through integrations, a Satellite proxy, Slack, Microsoft Teams, a REST API and an MCP server, with no browser, desktop or computer control. SourceResolve docs llms.txt index and Incidents page; resolve.ai/product/incidentsread 2026-10-22 |
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TierZeroBrowser & Computer Use Agents act through integrations, the API and MCP. Browser, desktop and computer control are not described. Sourcedocs.tierzero.ai/features/incident-agentread 2026-09-29 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | R Resolve AI |
T TierZero |
|---|---|---|
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Entry price Lowest public entry point |
Contact sales. Contracts are metered in credits, and no rates are published. | Starter is $75 per user a month ($900 a year) and Pro $100 per user a month ($1,200 a year). Enterprise is custom. |
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Pricing confidence How public the numbers are |
Contact only | Public, exact |
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Billing Primary billing axis |
Credits per unit of work, consumed by chats and tasks, investigations, incidents and triages. The credit cost of each is defined in the contract. | Per user per month with a credit allowance per user. Enterprise pools the credits across the account. |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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No free tierTrial
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Buying motion Self-serve vs sales call |
Sales call | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
TierZero publishes per user prices, and Resolve AI sells credit metered contracts through sales.
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