Helpdesk migration
Field-level mapping, validation, and rollback between Rezolve.ai and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Rezolve.ai
Source
Zendesk
Destination
Compatibility
8 of 10
objects map 1:1 between Rezolve.ai and Zendesk.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Rezolve.ai to Zendesk is a helpdesk platform transition with a specific focus on three challenges: extracting ticket data from a platform whose Config API does not expose records, rebuilding knowledge-base-powered AI resolution logic in a system with a different automation paradigm, and mapping Microsoft Teams-native conversation threads into Zendesk's channel-agnostic comment model. Rezolve.ai runs its service desk inside Microsoft Teams using Knowledge Skills and Task Skills that auto-resolve Tier 1 requests; these do not export as transferable objects. We export the raw article content and skill associations during scoping, map them to Zendesk's Help Center and macro or automation equivalents, and flag which AI resolution triggers must be rebuilt rather than migrated. Conversation threads, file attachments, and custom fields transfer with their timestamps preserved. Workflows, Skills, and SLA/escalation rules that depend on Rezolve.ai's proprietary AI engine are documented for your Zendesk admin to reconstruct post-migration.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Rezolve.ai object lands in Zendesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Rezolve.ai
Ticket
Zendesk
Ticket
1:1Rezolve.ai Tickets migrate to Zendesk Tickets with status, priority, type, and assignee preserved. Rezolve.ai's conversation threads attach as Zendesk comments in chronological order. AI resolution flags (auto-resolved, escalated, pending skill) do not transfer as native fields; we capture them in a custom ticket field rezolve_resolution_type__c for reporting. Original Rezolve.ai ticket IDs are stored in a custom field rezolve_ticket_id__c for cross-referencing in audits.
Rezolve.ai
Knowledge Article
Zendesk
Help Center Article
1:1Rezolve.ai knowledge articles migrate to Zendesk Guide articles within the existing Help Center structure. We map Rezolve.ai categories and sections to Zendesk sections and categories. AI-resolution metadata (confidence thresholds, linked Skills, auto-resolution rules) does not have a Zendesk equivalent and is documented as a separate AI configuration task post-migration. Article content, attachments, and internal notes transfer as-is.
Rezolve.ai
User
Zendesk
End User
1:1Rezolve.ai employee user records (email, department, manager, location) migrate 1:1 to Zendesk End Users. Role assignments (end user vs agent) are resolved through the Rezolve.ai user type field. Users without an email address are flagged for the customer's Zendesk admin to assign a placeholder or map to an SSO identity.
Rezolve.ai
Agent
Zendesk
Agent
1:1Rezolve.ai Agent profiles migrate to Zendesk Agent accounts. We preserve agent names, email addresses, and team memberships. Role-based permissions (admin, agent, light agent) map to Zendesk's role model. Any agent workload or SLA data from Rezolve.ai transfers as a custom field rather than a native attribute.
Rezolve.ai
Team
Zendesk
Group
1:1Rezolve.ai Teams represent routing groups and service desk squads. They migrate to Zendesk Groups with membership preserved. Routing rules and SLA assignments are Rezolve.ai-specific and documented for configuration recreation in Zendesk's SLA policies and routing settings. Group-level reporting in Zendesk Explore uses the migrated group structure.
Rezolve.ai
Skill
Zendesk
Automation or Macro
lossyRezolve.ai's Knowledge Skills and Task Skills are AI resolution units with no Zendesk equivalent. We document every Skill's trigger conditions, linked knowledge articles, and intended resolution action during scoping, then map each to a Zendesk automation trigger, macro, or AI agent intent. The customer's Zendesk admin rebuilds these using Zendesk's automation builder and AI agent configuration. This is explicitly a rebuild, not a transfer.
Rezolve.ai
Conversation
Zendesk
Comment
1:1Rezolve.ai conversation threads attached to Tickets migrate as Zendesk ticket comments. Message timestamps, author (agent or end user), and text content transfer directly. File attachments on conversations attach to the corresponding Zendesk ticket. Teams-specific metadata (reaction counts, thread formatting) does not transfer. AI-handled message flags are preserved as internal notes on the ticket.
Rezolve.ai
Custom Field
Zendesk
Custom Field
1:1Rezolve.ai custom fields on Tickets migrate to Zendesk custom ticket fields. We match field data types (text, dropdown, checkbox, date, numeric) to Zendesk field types. Any Rezolve.ai custom field with picklist values derived from Skill associations or proprietary formulas is flagged for the customer's admin to recreate the picklist in Zendesk's field editor before migration.
Rezolve.ai
Attachment
Zendesk
Attachment
1:1File attachments on tickets, knowledge articles, and conversations migrate as Zendesk attachments. We preserve file names and link them to the corresponding destination records. Files exceeding Zendesk's 20 MB per-attachment limit are flagged for chunking or alternative storage (S3, SharePoint) with a reference link in the Zendesk record.
Rezolve.ai
Settings
Zendesk
Configuration
lossyRezolve.ai tenant-level settings (branding, notification rules, SLA configurations, escalation policies, business hours) are documented during scoping. Zendesk equivalents (SLA policies, triggers, business hours, brand settings) are configured by the customer's Zendesk admin using our documented settings map. We do not import settings as code; we deliver a written configuration guide referencing the Rezolve.ai values.
| Rezolve.ai | Zendesk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Knowledge Article | Help Center Article1:1 | Fully supported | |
| User | End User1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Team | Group1:1 | Fully supported | |
| Skill | Automation or Macrolossy | Fully supported | |
| Conversation | Comment1:1 | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Settings | Configurationlossy | Mapping required |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Rezolve.ai gotchas
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
Zendesk gotchas
Data export requires API scripting on non-Enterprise plans
Automations cap at 500 active rules and 1,000 tickets per hour
Help Center has no native export feature
Custom Objects and full data export are Enterprise-only
Pair-specific challenges
Migration approach
Discovery and data extraction strategy
We audit the Rezolve.ai environment for ticket volume, knowledge article count, user and agent rosters, team structures, custom fields, and workflow inventory. Because Rezolve.ai's Config API does not expose ticket data, we design the extraction strategy during this phase: admin export requests from the Rezolve.ai dashboard, any direct database query access, and UI-based extraction for conversation threads. We also confirm the Zendesk target plan (Team, Growth, or Enterprise) and identify custom object requirements if the destination is Enterprise. The discovery output is a written extraction plan, data volume estimate, and migration scope document.
Zendesk target configuration
We configure the Zendesk destination account before data migration begins. This includes creating custom ticket fields mapped to Rezolve.ai custom fields, setting up Help Center sections and categories matching the Rezolve.ai knowledge base structure, defining Groups to match Rezolve.ai Teams, configuring SLA policies based on Rezolve.ai's existing service level definitions, and creating any required custom objects if the Enterprise plan is in use. Zendesk's admin panel is used for configuration; no custom development is required at this stage.
Knowledge base extraction and article migration
We extract Rezolve.ai knowledge articles including content, metadata, categories, and attachments. Articles are imported into Zendesk Guide as Help Center articles within the mapped section structure. AI-resolution metadata (linked Skills, confidence thresholds) is captured in a separate mapping document for post-migration AI configuration. We validate article counts and spot-check formatting and image attachments against the source before proceeding to ticket migration.
User, agent, and team migration
We migrate Rezolve.ai Users and Agents to Zendesk End Users and Agents. Teams map to Zendesk Groups with membership preserved. Email addresses serve as the dedupe and matching key. Any User without an email address is flagged for the customer's Zendesk admin to assign a placeholder or map to an SSO identity. Role-based permissions from Rezolve.ai transfer to Zendesk roles (admin, agent, light agent) based on the scoping mapping.
Ticket and conversation migration
We migrate Rezolve.ai Tickets to Zendesk Tickets in dependency order: tickets first, then conversation comments attached to each ticket. Original Rezolve.ai ticket IDs are stored in a custom field for cross-referencing. File attachments migrate as Zendesk attachments linked to the corresponding tickets. AI resolution flags are preserved in a custom field rezolve_resolution_type__c. We use Zendesk's REST API with rate-limit handling and batch chunking for large ticket volumes. Conversation timestamps are preserved to maintain the original ticket timeline.
Cutover, validation, and workflow rebuild handoff
We run a final delta migration of any records created or modified during the migration window, then enable Zendesk as the system of record. We deliver a written inventory of every Rezolve.ai Skill and Workflow with its trigger, conditions, intended actions, and a recommended Zendesk automation or AI agent equivalent. This document is handed to the customer's Zendesk admin to rebuild using Zendesk's native automation builder. We support a one-week post-cutover window to resolve reconciliation issues. Post-migration admin support, training, and workflow rebuild are outside standard migration scope and may be scoped as a separate engagement.
Platform deep dives
Rezolve.ai
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Rezolve.ai and Zendesk.
Object compatibility
3 of 7 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
7-object category — typical timelines run 2–7 days end-to-end.
API constraints
Rezolve.ai: Not publicly documented.
Data volume sensitivity
Rezolve.ai doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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