Helpdesk migration
Field-level mapping, validation, and rollback between Yuma AI and Zoho Desk. We move data and schema; workflows are rebuilt natively in Zoho Desk.
Yuma AI
Source
Zoho Desk
Destination
Compatibility
12 of 14
objects map 1:1 between Yuma AI and Zoho Desk.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Migrating from Yuma AI to Zoho Desk is architecturally distinct from a typical helpdesk-to-helpdesk move because Yuma AI is not a data store — it is an AI layer that reads from and writes into an existing helpdesk. All primary data (Tickets, Contacts, Accounts, Conversations) lives in the host platform (Gorgias, Zendesk, or Kustomer), and Yuma's contribution is its AI-authored replies, resolution status flags, Guidelines (brand policy rules), Flows (automation triggers), and Auto-Pilot configurations. We run a dual-track export: standard helpdesk data migration plus a Yuma-specific export of automation metadata. On arrival in Zoho Desk, we map resolution status to Zia Skills, preserve Yuma's auto-reply logs as internal notes so Zia can be fine-tuned on the same corpus, and hand off a written inventory of every Yuma Flow and Guideline requiring rebuild in Zoho Desk Blueprint or custom Deluge scripts. Zoho Desk's per-agent pricing model (from $7/agent/month on Express to $89/agent/month on Enterprise) contrasts directly with Yuma's per-resolution billing, making the destination more predictable for high-volume support operations.
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 Yuma AI object lands in Zoho Desk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Yuma AI
Ticket
Zoho Desk
Ticket
1:1Tickets originate in the host helpdesk (Gorgias, Zendesk, or Kustomer) and are the primary migration record. We preserve the full ticket body, subject, priority, status, channel metadata, and all custom field values. Yuma's resolution status (resolved, escalated, pending_customer, pending_agent) maps to Zoho Desk Ticket status values (Open, Pending, On Hold, Closed). Message threads migrate with sender attribution so that Yuma's auto-replies are identifiable as internal notes in Zoho Desk, allowing Zia to be grounded in the same reply corpus.
Yuma AI
Contact
Zoho Desk
Contact
1:1Contact profiles live entirely in the host helpdesk. Yuma reads name, email, phone, order history, and contact records to ground AI replies. We carry all standard contact fields through to Zoho Desk Contacts via the helpdesk API export. Email address serves as the dedupe key during Zoho Desk import.
Yuma AI
Company / Account
Zoho Desk
Account
1:1Company-level data from the host helpdesk (e.g., Zendesk Organizations, Gorgias companies, Kustomer conversations) maps to Zoho Desk Accounts. The Account object is created before Contact import so that the account lookup relationship is satisfied at the moment of Contact insert. AccountName maps from the host company name; additional fields (website, phone, industry) transfer directly.
Yuma AI
Conversation / Message Thread
Zoho Desk
Thread
1:1Every message in a ticket thread migrates to Zoho Desk Thread records. We flag which messages were authored by a Yuma Auto-Pilot versus a human agent by prepending an internal note tag (e.g., [Yuma-Auto-Pilot]). This preserves the AI reply corpus for Zia Skills grounding without mixing it into the visible customer thread. Attachments on individual messages transfer via the helpdesk API.
Yuma AI
Agent
Zoho Desk
Agent
1:1Yuma Auto-Pilot agents are a separate logical layer from human support agents and do not map 1:1 to Zoho Desk agents. We extract human agent identities from the host helpdesk export and match by email address against Zoho Desk agent accounts. Yuma Auto-Pilot escalation routing rules (which team or agent a ticket routes to under specific conditions) map to Zoho Desk team assignments and department-level routing configurations.
Yuma AI
Team / Queue
Zoho Desk
Team
1:1Yuma routes edge-case tickets to specific human teams based on rules configured in Flows. We map these team assignments to Zoho Desk Teams, using team name as the dedupe key. Teams that exist only in Yuma (e.g., a Yuma-proprietary escalation queue with no corresponding Zoho Desk team) go to a reconciliation list for the customer's admin to define the destination before import.
Yuma AI
Custom Ticket Fields
Zoho Desk
Custom Fields
lossyYuma respects and populates custom fields defined in the host helpdesk (e.g., order ID, return reason, subscription tier, product variant). We preserve all custom field values at migration time and map them to Zoho Desk custom fields, creating the destination custom fields in the appropriate modules (Tickets, Contacts, Accounts) before import. Field type mapping: text to single-line, textarea to multiline, dropdown to picklist, multi-checkbox to multi-select picklist.
Yuma AI
Attachment
Zoho Desk
Attachment
1:1Inline attachments on tickets — images, PDFs, order screenshots — are carried over via the helpdesk API. Yuma does not store its own attachment blob; we pull directly from the host platform as normal. Zoho Desk's import process supports attachments up to 20 MB per file. We flag any attachment over this limit for manual handling.
Yuma AI
Tag
Zoho Desk
Tag (custom field or blueprint field)
lossyYuma applies internal tags during processing (e.g., resolution_type, automation_status, yuma_auto_response). We export all Yuma-applied tags alongside the ticket and store them in a Zoho Desk custom field (multi-select picklist or tag-style custom field) so that the customer can use them for classification and reporting. Zoho Desk does not have a native tag object equivalent to Zendesk or Gorgias tags, so we recommend the custom field approach during scoping.
Yuma AI
Guidelines
Zoho Desk
Zia Skills / Custom Field (structured JSON export)
1:1Guidelines are Yuma's brand policy rules that constrain AI behavior and prevent hallucinations — they are the most transferable proprietary asset in a Yuma migration. We export Guidelines as structured JSON with full condition logic, allowed channels, and escalation actions. This JSON is delivered as a migration artifact and is used as input for Zia Skills configuration in Zoho Desk, giving the customer's admin a reference document for rebuilding the brand policy logic in Zia rather than authoring it from scratch. No automated migration of Guidelines to native Zoho Desk objects is possible because there is no Guidelines-equivalent standard object.
Yuma AI
Flows
Zoho Desk
Blueprint / Workflow Rules (structured JSON export)
1:1Flows are Yuma's visual workflow builder for ticket routing, triggers, and escalation sequences. We export Flow definitions as JSON with trigger conditions, condition branches, and action sequences. This JSON is delivered as a migration artifact and is accompanied by a written inventory mapping each Yuma Flow to an equivalent Zoho Desk Blueprint (step-by-step process guides) or workflow rule (event-triggered actions via Deluge scripts). Blueprint and workflow rebuild is out of scope for the data migration; we document the mapping for the customer's admin or a Zoho implementation partner.
Yuma AI
Auto-Pilot Configuration
Zoho Desk
Zia Agent Skills (structured JSON export)
1:1Yuma Auto-Pilot configurations (which AI agent handles which ticket types, confidence thresholds, human escalation triggers, and SLA behavior) are Yuma-proprietary and do not map to a native Zoho Desk object. We export Auto-Pilot configurations as structured JSON and deliver them alongside the Guidelines and Flows export. The JSON serves as the input document for Zia Agent skills configuration in Zoho Desk. This is a manual rebuild step scoped as a separate workstream after data migration completes.
Yuma AI
KB Articles
Zoho Desk
Help Center Articles
1:1Yuma does not own or host a knowledge base — it reads from your helpdesk's KB or Shopify product data at inference time. We migrate KB articles from the host platform directly to Zoho Desk Help Center. ASAP-style custom fields (if present in the host helpdesk) map to Zoho Desk article custom fields. Article category structure migrates as Zoho Desk categories. Note: Zoho Desk's Migration Wizard does not transfer article attachment metadata; we handle attachments separately via API.
Yuma AI
Product
Zoho Desk
Product
1:1Products defined in the host helpdesk (e.g., Gorgias product catalog, Zendesk Knowledge Base products) migrate to Zoho Desk Products module. ProductCode, description, and pricing information transfer directly. Products are created before ticket import so that product lookup fields on tickets resolve at insert time.
| Yuma AI | Zoho Desk | Compatibility | |
|---|---|---|---|
| Ticket | Ticket1:1 | Fully supported | |
| Contact | Contact1:1 | Fully supported | |
| Company / Account | Account1:1 | Fully supported | |
| Conversation / Message Thread | Thread1:1 | Fully supported | |
| Agent | Agent1:1 | Fully supported | |
| Team / Queue | Team1:1 | Fully supported | |
| Custom Ticket Fields | Custom Fieldslossy | Mapping required | |
| Attachment | Attachment1:1 | Fully supported | |
| Tag | Tag (custom field or blueprint field)lossy | Fully supported | |
| Guidelines | Zia Skills / Custom Field (structured JSON export)1:1 | Mapping required | |
| Flows | Blueprint / Workflow Rules (structured JSON export)1:1 | Mapping required | |
| Auto-Pilot Configuration | Zia Agent Skills (structured JSON export)1:1 | Fully supported | |
| KB Articles | Help Center Articles1:1 | Not supported | |
| Product | Product1:1 | Fully supported |
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.
Yuma AI gotchas
Per-resolution billing inflates costs during peak volume
Yuma owns no standalone data — migration is always helpdesk-centric
Guidelines and Flows require manual recreation at destination
No phone/voice channel creates a migration gap
Zoho Desk gotchas
Agent email identity determines comment ownership after migration
Blueprints and SLA policies do not export via API
File upload capped at 10GB per migration batch
Tier-gated export and migration capabilities
Inbound migration is two-phase with a hard Phase 2 cutoff
Pair-specific challenges
Migration approach
Host platform identification and scoping
We begin by confirming the host helpdesk platform (Gorgias, Zendesk, Kustomer, or another Yuma-supported platform) because Yuma stores no data independently. Scoping covers the host platform's export API, field inventory, custom field definitions, and agent/user structure. We also extract Yuma's automation metadata — Guidelines, Flows, and Auto-Pilot configurations — as structured JSON. The scoping output is a written migration scope document identifying the host platform, record counts by object type, Yuma automation inventory, and a Zoho Desk edition recommendation based on the customer's team size and feature requirements.
Dual-track data extraction and field mapping design
We extract data in two parallel tracks: Track A is the standard host helpdesk export (Tickets, Contacts, Accounts, Products, KB Articles, message threads, custom fields) via the platform's REST API or CSV export tool. Track B is the Yuma-specific metadata export (Guidelines JSON, Flows JSON, Auto-Pilot configs, Yuma-applied tags and resolution status flags). We design the Zoho Desk destination schema in parallel: custom fields created in the Tickets, Contacts, and Accounts modules; Teams and Departments provisioned; Record Types and layouts assigned. Yuma's resolution status field is mapped to Zoho Desk Ticket status values at this stage.
Sample migration and reconciliation
We run a sample migration of 50-200 representative records (across open, closed, and escalated tickets, with and without attachments) into a Zoho Desk sandbox or parallel environment. The customer reviews the sample for record completeness, field mapping accuracy, thread readability, and Yuma auto-reply attribution. Any mapping corrections — custom field mismatches, status value gaps, tag format issues — are resolved before the full migration begins. This step typically takes one to two days per correction round.
Full migration in dependency order
We execute the full migration in record dependency order: Products first (for product lookup fields on tickets), then Accounts (from Companies), then Contacts, then Tickets with Thread records, then Attachments, then KB Articles, then Custom Field Values. Yuma-applied tags are written as custom field values after ticket base data is confirmed. Agent matching by email address is validated against Zoho Desk agent accounts before ticket import; any unmatched agents go to a reconciliation queue for the customer's admin to provision. The Migration Wizard limitations (no CC users, Groups, inline images, original created dates) are addressed via direct API writes after bulk import completes.
Yuma automation handoff and Zia Skills grounding session
We deliver the Yuma automation corpus as structured JSON: Guidelines, Flows, and Auto-Pilot configurations, accompanied by a written inventory mapping each Yuma construct to a Zoho Desk equivalent (Zia Skills, Blueprint, workflow rule, or Deluge script). This document is the input for a Zia Skills configuration session where the customer's admin grounds Zia in the same knowledge corpus that Yuma used. We do not configure Zia Skills as part of the data migration scope. We also deliver a reconciliation report covering record counts, attachment status, and any unresolved references for the customer's admin to review.
Cutover, delta sync, and post-migration validation
We freeze writes to the host helpdesk during the cutover window, run a final delta migration of any records created or modified during the migration process, then hand off Zoho Desk as the system of record. Post-migration validation covers record count reconciliation (tickets in, tickets out, attachments transferred, threads preserved), spot checks of 25-50 randomly selected records against the source export, and a review of the Yuma automation handoff document. We offer a one-week post-migration support window for reconciliation issues. We do not rebuild Yuma Workflows or Flows as Zoho Desk Blueprint workflows inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
Yuma AI
Source
Strengths
Weaknesses
Zoho Desk
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 4 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 Yuma AI and Zoho Desk.
Object compatibility
4 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
Yuma AI: Not publicly documented — rate limits are governed by the host helpdesk API (Gorgias, Zendesk, etc.).
Data volume sensitivity
Yuma 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
Pick a category, then your source and destination platforms.
Category
FAQ
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