Agentic Index

Resolve AI vs Traversal (2026)

Resolve AI and Traversal tie on the grid at 10.5 of 14, and both are enterprise AI SREs sold through sales with no public price. 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 alerts and investigate incidents in parallel, with every mitigation waiting for human approval. Traversal builds a continuously updated causal Production World Model, runs proactive Workers in Slack and Teams, keeps memories that need approval, and offers bring your own model and on premises or BYOC deployment. Resolve is Full on its audit trail, prebuilt agents, evaluation and orchestration, where Traversal is Partial or None; Traversal is Full on deployment, memory and model choice, where Resolve is Partial or None. Choose Resolve for coordinated agents with documented evaluation; choose Traversal to run on your own infrastructure with your own model.

On the Agentic Index production ops ranking, Resolve AI clears the bar and Traversal does not. Resolve AI documents all five resolution loop capabilities in full; Traversal does not document workflow orchestration in full, nor observability and auditability. 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. Resolve AI and Traversal 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 Resolve AI if

  • A team of specialized agents should work an incident in parallel.
  • Evaluation and a full audit trail must be documented.
  • Every mitigation should wait for a person's approval.

Choose Traversal if

  • The system must run on premises or in your own cloud, with a model you choose.
  • Memories should persist between incidents, but only once approved.
  • Proactive Workers in Slack and Teams should raise issues before they page anyone.
Feature
R
Resolve AI
T
Traversal
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
R
Resolve AI
T
Traversal

Entry price

Lowest public entry point

Contact sales. Contracts are metered in credits, and no rates are published. Contact sales. Enterprise contracts, with on premises, BYOC and bring your own model options.

Pricing confidence

How public the numbers are

Contact only Contact only

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. An enterprise contract, with terms shaped by the deployment model and bring your own model.

Variable cost

Workload / overage exposure

Medium variable cost Low variable cost

Free tier / trial

Try before you buy

No free tierTrial
No free tierTrial

Buying motion

Self-serve vs sales call

Sales call Sales call

Neither vendor publishes a price. Resolve meters contracts in credits; Traversal sells enterprise contracts with paid proofs of value.

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