Agentic Index

incident.io vs Resolve AI (2026)

incident.io and Resolve AI both put an AI agent on incidents, one inside an incident management platform and one as a standalone AI SRE, and Resolve edges the grid, 10.5 of 14 against 10. incident.io runs incidents in Slack and Teams with an AI investigation agent from declaration onward, with published per user prices from a free Basic tier to Pro at 25 dollars. 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, every mitigation waiting for approval, on credit metered contracts through sales. On the grid Resolve is Full on knowledge grounding and evaluation and Partial on deployment, where incident.io is lower; incident.io is Partial on memory and model choice, where Resolve is None. Choose incident.io to run the whole incident in chat at a published price; choose Resolve to add a team of investigating agents to the stack you have.

On the Agentic Index production ops ranking, incident.io and Resolve AI both clear the bar: each documents all five resolution loop capabilities in full. 14 of the 37 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. incident.io and Resolve AI 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 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose incident.io if

  • You want incident response, on call and status pages in one platform.
  • Every price should be published, with a free tier to start.
  • Incidents should run in Slack or Teams from declaration to review.

Choose Resolve AI if

  • A team of specialized agents should investigate in parallel across your tools.
  • A documented evaluation method matters; Resolve is Full on evaluation.
  • Investigations should ground in a maintained knowledge structure.
Feature
i
incident.io
R
Resolve AI
Action & orchestration

Integrations & Tool Calling

Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

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.

Knowledge & context

Knowledge Grounding & RAG

Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.

Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Platform extensibility

Model Flexibility & Routing

Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.

Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
i
incident.io
R
Resolve AI

Entry price

Lowest public entry point

Free Basic tier; Team $19 per user per month ($15 with the annual discount); Pro $25; on call add on $10 (Team) or $20 (Pro) per user Contact sales. Contracts are metered in credits, and no rates are published.

Pricing confidence

How public the numbers are

Public, exact Contact only

Billing

Primary billing axis

seats (per user per month), tiered plus on call add on Credits per unit of work, consumed by chats and tasks, investigations, incidents and triages. The credit cost of each is defined in the contract.

Variable cost

Workload / overage exposure

Low variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
No free tierTrial

Buying motion

Self-serve vs sales call

Mixed Sales call

incident.io publishes its plans; Resolve AI sells credit metered contracts through sales.

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