Migrate your Rezolve.ai data
Agentic AI help desk platform for IT and HR that auto-resolves tickets inside Microsoft Teams. Targets mid-market and enterprise teams replacing legacy ITSM tools with conversational AI.
In its favor
Why people choose Rezolve.ai
The signal that keeps Rezolve.ai on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Strong user adoption rates reported in G2 reviews, with employees preferring to stay inside Microsoft Teams rather than switching to a separate portal for IT and HR requests.
Fast setup and onboarding validated by G2's 'Easiest Setup' badge, reducing time-to-value for teams migrating from legacy ITSM platforms like ServiceNow or BMC.
High ticket auto-resolution rates of up to 65% reported in FAQs, reducing Tier 1 support burden and justifying AI platform investment for IT leaders.
Responsive customer support cited repeatedly in G2 reviews, with dedicated success teams that keep customers informed throughout implementation.
Agentic AI approach differentiates from rule-based chatbots, with AI agents that learn from interactions and execute tasks rather than just respond to queries.
Limited public API documentation makes deep integrations and automated migrations harder, pushing technical teams toward platforms with richer developer ecosystems.
Pricing opacity requires sales conversations to get accurate quotes, which frustrates procurement teams comparing multiple ITSM alternatives quickly.
Teams-only primary interface may limit adoption in organizations where employees work primarily in Slack, Zoom, or browser-based portals.
AI resolution quality depends on knowledge base maturity, so teams with poorly maintained KBs see lower auto-resolution rates than marketed benchmarks.
Smaller market presence compared to ServiceNow or Freshservice means fewer third-party integrations and community resources available.
Reasons to switch
Why people leave Rezolve.ai
The recurring reasons buyers give for replacing Rezolve.ai. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Rezolve.ai fits
Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.
SWOT — strengths, weaknesses, and use-case fit
Strengths
Weaknesses
Where it works
Where it struggles
Pricing tiers
Rezolve.ai pricing overview
Rezolve.ai uses a per-user, per-month subscription model with pricing available only through direct sales engagement. Estimated pricing from third-party sources suggests Professional tiers start around $33/user/month, with enterprise tiers negotiated based on seat count, feature requirements, and deployment model.
Professional
Tier 1 of 3
Contact sales (~$33/user/month est.)
What's included
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Book a free 30 minute consultationPricing is informational. FlitStack AI does not bill on Rezolve.ai's schedule — see our quote-based pricing →
What gets migrated
Rezolve.ai object support
Object-by-object support for Rezolve.ai migrations. Per-pair details surface during scoping.
Tickets
Mapping requiredTickets are the core incident and request records in Rezolve.ai. We migrate ticket history, status, priority, assignees, and conversation threads. AI resolution flags and auto-resolution metadata require field mapping to destination equivalents.
Knowledge Articles
Mapping requiredKnowledge base articles power Rezolve.ai's AI resolution skills. We export articles with metadata, categories, and skill associations. Destination KB schema differences require field-level mapping, especially for AI-tagged content.
Users
Fully supportedEmployee user records including email, department, manager, and location migrate 1:1. We preserve role assignments (end user vs agent) and map them to the destination platform's permission model.
Agents
Fully supportedAgent records include profile information, team assignments, and workload data. We transfer agent identities and team memberships directly. SLA assignments and escalation rules require configuration mapping.
Teams
Fully supportedTeams in Rezolve.ai represent routing groups and service desk squads. We migrate team structures, membership, and routing rules. The destination platform's routing logic is configured to match Rezolve.ai team boundaries.
Skills
Mapping requiredRezolve.ai Skills are AI-powered automation units (Knowledge Skills, Task Skills) that power auto-resolution. Skills map to destination workflow automations or AI agents. The mapping requires understanding which business processes each skill handles.
Workflows
Mapping requiredWorkflows define automation sequences for ticket routing, approvals, and escalations. We export workflow definitions and triggers. Because Rezolve.ai workflows leverage proprietary AI logic, reconstruction on the destination platform is often required rather than direct import.
Conversations
Mapping requiredConversation threads attach to Tickets and capture the full chat history between employees and agents. We preserve message timestamps, authors, and attachments. Thread metadata like AI-handled flags map to destination ticket activity logs.
Custom Fields
Mapping requiredCustom fields on Tickets and other objects are migrated with their data types and values. We flag any custom field dependencies on Rezolve.ai-specific picklist values or formulas that need manual re-creation on the destination platform.
Attachments
Fully supportedFile attachments on tickets, knowledge articles, and conversations migrate as binary blobs. We preserve file names and attach them to the corresponding destination records. Storage location references are updated post-migration.
Reports
Mapping requiredRezolve.ai provides built-in reporting dashboards for resolution rates, ticket volumes, and CSAT. We migrate report configurations where possible but recommend rebuilding complex reports on the destination platform to leverage native analytics tools.
Settings
Mapping requiredTenant-level settings including branding, notification rules, SLA configurations, and escalation policies migrate selectively. We document existing settings and recommend configuration recreation on the destination platform for precision.
| Object | Support | Notes |
|---|---|---|
| Tickets | Mapping required | Tickets are the core incident and request records in Rezolve.ai. We migrate ticket history, status, priority, assignees, and conversation threads. AI resolution flags and auto-resolution metadata require field mapping to destination equivalents. |
| Knowledge Articles | Mapping required | Knowledge base articles power Rezolve.ai's AI resolution skills. We export articles with metadata, categories, and skill associations. Destination KB schema differences require field-level mapping, especially for AI-tagged content. |
| Users | Fully supported | Employee user records including email, department, manager, and location migrate 1:1. We preserve role assignments (end user vs agent) and map them to the destination platform's permission model. |
| Agents | Fully supported | Agent records include profile information, team assignments, and workload data. We transfer agent identities and team memberships directly. SLA assignments and escalation rules require configuration mapping. |
| Teams | Fully supported | Teams in Rezolve.ai represent routing groups and service desk squads. We migrate team structures, membership, and routing rules. The destination platform's routing logic is configured to match Rezolve.ai team boundaries. |
| Skills | Mapping required | Rezolve.ai Skills are AI-powered automation units (Knowledge Skills, Task Skills) that power auto-resolution. Skills map to destination workflow automations or AI agents. The mapping requires understanding which business processes each skill handles. |
| Workflows | Mapping required | Workflows define automation sequences for ticket routing, approvals, and escalations. We export workflow definitions and triggers. Because Rezolve.ai workflows leverage proprietary AI logic, reconstruction on the destination platform is often required rather than direct import. |
| Conversations | Mapping required | Conversation threads attach to Tickets and capture the full chat history between employees and agents. We preserve message timestamps, authors, and attachments. Thread metadata like AI-handled flags map to destination ticket activity logs. |
| Custom Fields | Mapping required | Custom fields on Tickets and other objects are migrated with their data types and values. We flag any custom field dependencies on Rezolve.ai-specific picklist values or formulas that need manual re-creation on the destination platform. |
| Attachments | Fully supported | File attachments on tickets, knowledge articles, and conversations migrate as binary blobs. We preserve file names and attach them to the corresponding destination records. Storage location references are updated post-migration. |
| Reports | Mapping required | Rezolve.ai provides built-in reporting dashboards for resolution rates, ticket volumes, and CSAT. We migrate report configurations where possible but recommend rebuilding complex reports on the destination platform to leverage native analytics tools. |
| Settings | Mapping required | Tenant-level settings including branding, notification rules, SLA configurations, and escalation policies migrate selectively. We document existing settings and recommend configuration recreation on the destination platform for precision. |
Gotchas
What to watch for in Rezolve.ai migrations
Issues we've hit on past Rezolve.ai migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Workflows require manual reconstruction on destination
AI Skills map to workflows, not to a transferable object
Public API only covers configuration, not ticket data
Knowledge base AI tagging does not migrate directly
Teams is the primary UI and data container
| Severity | Issue |
|---|---|
| High | Workflows require manual reconstruction on destination |
| Medium | AI Skills map to workflows, not to a transferable object |
| High | Public API only covers configuration, not ticket data |
| Medium | Knowledge base AI tagging does not migrate directly |
| Low | Teams is the primary UI and data container |
Leaving Rezolve.ai?
Where Rezolve.ai customers move next
7 destinations Rezolve.ai can migrate to.
How a Rezolve.ai migration works
Four steps, Rezolve.ai-specific
Connect
API key (Config API) into Rezolve.ai. Scopes limited to read-only on the data we move.
Map
We translate Rezolve.ai-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Rezolve.ai quirks before production.
Migrate
Full migration with Rezolve.ai rate-limit handling. Rollback available throughout.
FAQ
Rezolve.ai migration FAQ
Answers to the questions buyers ask most during Rezolve.ai migration scoping. Not seeing yours? Book a call.
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