Helpdesk migration
Field-level mapping, validation, and rollback between Mava and Zoho Desk. We move data and schema; workflows are rebuilt natively in Zoho Desk.
Mava
Source
Zoho Desk
Destination
Compatibility
6 of 12
objects map 1:1 between Mava and Zoho Desk.
Complexity
CModerate
Timeline
2-3 weeks
Overview
Moving from Mava to Zoho Desk is a structural migration from a community-native AI support platform to a multi-channel enterprise help desk. Mava organizes support around Conversations sourced from Discord, Telegram, and web chat, with AI bot intents and SLA rules configured per channel. Zoho Desk uses a department-centric hierarchy with Tickets, Contacts, and Accounts as primary objects, and enforces a module-import order (Agents before Accounts, Accounts before Contacts, Contacts before Tickets) that requires careful sequencing. We resolve Mava's Discord and Telegram user identities into Zoho Desk Contacts by matching against email where available and flagging unresolved records for customer enrichment. Bot intents, automation rules, and custom webhook payloads do not migrate as code; we deliver a written inventory of these configurations for the customer's admin to rebuild in Zoho Desk's Blueprint and workflow tools.
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 Mava 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.
Mava
Conversations
Zoho Desk
Ticket
1:1Mava Conversations map directly to Zoho Desk Tickets. Each conversation's message history, participant metadata, and channel source (Discord, Telegram, or web) transfer as Ticket fields and child Thread records. The original channel source is preserved in a custom field mava_channel_source__c because Zoho Desk's standard Ticket object does not have a native channel attribution field for Discord or Telegram tickets. Created timestamp migrates via API; Zoho Desk's default CSV import cannot preserve original created dates, requiring a custom field and comment injection for audit compliance.
Mava
AI Bots
Zoho Desk
Blueprint (configuration)
lossyMava's AI bot intent catalog and automated response rules are stored as channel-specific JSON configurations that do not have a direct Zoho Desk equivalent. We extract the full intent catalog across all Discord, Telegram, and web channels, normalize intent names and trigger conditions, and deliver a written inventory document that maps each Mava intent to a Zoho Desk Blueprint or workflow rule. The customer's admin rebuilds automation in Zoho Desk's visual builder. Channel-specific conditions (Discord role gates, Telegram command prefixes) are noted as not natively transferable.
Mava
Users/Members
Zoho Desk
Contact
1:manyMava community members linked by Discord ID or Telegram ID require identity resolution before migration. Where a Discord or Telegram user has a verified email associated with their Mava profile, we map directly to Zoho Desk Contact using email as the dedupe key. Where identity is Discord ID or Telegram ID only with no email, we flag those records during scoping and work with the customer to determine handling: either map to anonymous Contacts with a placeholder email, or defer migration pending customer-side identity enrichment. Unresolved identities are documented in the migration manifest with original platform ID preserved in mava_member_id__c.
Mava
Agents
Zoho Desk
Agent
1:1Mava support agents map 1:1 to Zoho Desk agents by email match. Zoho Desk requires agent profiles to exist in the destination before ticket import can associate tickets with agents, so we provision agent records as the first migration phase. Agent roles (admin, agent) map from Mava's role structure, and team assignments are preserved in the Zoho Desk team membership records. Note: Zoho Desk distinguishes Agent (full reply/comment access) and Light Agent (view-only) roles; we map Mava's agent role accordingly based on the customer's Zoho Desk edition tier.
Mava
Teams
Zoho Desk
Team
lossyMava team structures map to Zoho Desk Teams with member lists preserved. Zoho Desk's native import tools cannot create Teams via API; we create Teams using Zoho Desk's REST API before ticket migration begins, populating team names from Mava and adding members by resolving agent email matches. Teams must be created and Team Assignment must be enabled in Zoho Desk settings before migration for ticket routing to function correctly.
Mava
Tags
Zoho Desk
Tag
1:1Mava conversation tags migrate as Zoho Desk Ticket tags. Tags are simple string key-value pairs that map directly between platforms. If the destination Zoho Desk account already contains tags with the same names, Zoho Desk associates them; otherwise, tags are created during migration. Tags used for reporting segmentation are preserved without transformation.
Mava
SLA Policies
Zoho Desk
SLA Policy (configuration)
lossyMava SLA rules (first-response time and resolution time targets per channel or team) map to Zoho Desk SLA policies with configuration notes. Zoho Desk SLA policies are built within specific Departments; we identify the target Department for each SLA rule during scoping, map the time thresholds to Zoho Desk's SLA policy format, and deliver a written configuration guide for the customer's admin to apply in Zoho Desk's SLA setup. Note: SLA metrics that are purely informational in Mava without strict enforcement may not require active SLA policy migration.
Mava
Custom Webhooks
Zoho Desk
Webhook configuration (inventory)
1:1Mava webhook integrations store endpoint URLs and trigger conditions that cannot be automatically transferred to Zoho Desk because Mava webhook payloads are customer-defined with no documented standard schema. We extract all webhook endpoint URLs, trigger event types (conversation created, resolved, escalated), and payload structures from Mava, then deliver a written inventory document that maps each webhook to a Zoho Desk workflow webhook action or an equivalent integration endpoint. Payload transformation logic requires manual mapping in Zoho Desk's workflow builder.
Mava
Conversation (channel source)
Zoho Desk
Custom Field: mava_channel_source__c
lossyMava records the originating channel (Discord, Telegram, web) on each conversation. Zoho Desk's standard Ticket object does not have a native channel attribution field for chat-channel tickets, so we create a custom picklist field mava_channel_source__c on Ticket to preserve this metadata. The field is populated during migration and included in all ticket exports for reporting.
Mava
Conversation assignee
Zoho Desk
Ticket.AgentId
1:1Mava conversation assignment (agent or team) maps to Zoho Desk Ticket assignment. We resolve Mava agent email references to Zoho Desk Agent IDs via the agent mapping, and Mava team references to Zoho Desk Team IDs via the team mapping. If a Mava conversation is assigned to a team with no corresponding Zoho Desk Team, the ticket is assigned to the team lead agent and flagged for reconciliation.
Mava
Conversation status
Zoho Desk
Ticket.Status
lossyMava conversation statuses (open, pending, resolved, archived) map to Zoho Desk Ticket statuses. The status vocabulary varies by Mava configuration; we extract the full status list during scoping and map each to an equivalent Zoho Desk status (Open, Pending, On Hold, Closed) based on the customer's Zoho Desk department and workflow setup.
Mava
Conversation attachments
Zoho Desk
Ticket Attachments
1:1Mava conversation file attachments migrate to Zoho Desk Ticket attachments via API. We download attachment files from Mava and upload them to Zoho Desk tickets during migration. Note: Zoho Desk's native ZSwitch migration tool drops attachments, which is one reason we use API-led migration for full-fidelity transfer. Inline images embedded in message content migrate as attachments and as inline references in thread messages.
| Mava | Zoho Desk | Compatibility | |
|---|---|---|---|
| Conversations | Ticket1:1 | Fully supported | |
| AI Bots | Blueprint (configuration)lossy | Mapping required | |
| Users/Members | Contact1:many | Mapping required | |
| Agents | Agent1:1 | Fully supported | |
| Teams | Teamlossy | Fully supported | |
| Tags | Tag1:1 | Fully supported | |
| SLA Policies | SLA Policy (configuration)lossy | Mapping required | |
| Custom Webhooks | Webhook configuration (inventory)1:1 | Mapping required | |
| Conversation (channel source) | Custom Field: mava_channel_source__clossy | Fully supported | |
| Conversation assignee | Ticket.AgentId1:1 | Fully supported | |
| Conversation status | Ticket.Statuslossy | Fully supported | |
| Conversation attachments | Ticket Attachments1:1 | 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.
Mava gotchas
Community identity linkage may be incomplete
Bot configurations are channel-specific
Webhook payloads lack standardized schema
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
Discovery and Mava export
We audit the source Mava portal for conversation volume, active agents, team structures, tag taxonomy, SLA rules, bot intent count, and webhook configurations. We extract conversation records, agent profiles, team assignments, tags, and SLA policies via Mava's data export capabilities. If Mava does not expose a public API for bulk export, we work with Mava's support team or use screen-scraped export where contractual access permits. We also assess the identity resolution scope: we sample conversation records to estimate the percentage of Discord/Telegram-only users versus email-linked users and present the enrichment options to the customer before migration begins.
Zoho Desk tenant provisioning and agent setup
We set up the Zoho Desk tenant: create departments matching the customer's organizational structure, provision agent profiles with matching email addresses from Mava, and create Teams with member assignments. Agent email matching is required before any ticket import can associate tickets with the correct agents. We also enable Team Assignment in Zoho Desk settings if the customer's workflows require team-based routing. Custom fields (mava_channel_source__c, mava_member_id__c) are created on the Ticket object during this phase.
Identity resolution and contact creation
We resolve Mava community member identities to Zoho Desk Contacts. Records with email resolve directly via email match. Discord/Telegram-only identities are handled per the customer's chosen enrichment strategy: enriched records are imported as Contacts with verified email; anonymous placeholder records are created with a generated placeholder email and original platform ID preserved; excluded records are documented and excluded from migration. Account records are created for any Contacts associated with organizations in Mava, mapping to Zoho Desk Accounts.
Ticket migration with channel source and SLA mapping
We migrate Conversations to Zoho Desk Tickets in dependency order: Contacts and Accounts first, then Tickets with mava_channel_source__c populated from the original channel field. Thread messages migrate as Zoho Desk Thread records preserving author attribution (Contact or Agent), timestamp, and message body. Attachments migrate via file download and upload during this phase. SLA rules are mapped to Zoho Desk SLA policies in the written configuration document delivered during this phase; active SLA enforcement requires manual setup in Zoho Desk per the delivered guide.
Tag migration and webhook inventory delivery
We migrate conversation tags to Zoho Desk Ticket tags by name match. Duplicate tag names in Zoho Desk are handled by Zoho's deduplication; new tags are created automatically. We deliver the webhook inventory document listing each Mava webhook endpoint, trigger event, payload schema sample, and recommended Zoho Desk workflow webhook action equivalent. We also deliver the AI bot intent catalog document mapping Mava intents to Zoho Desk Blueprint or workflow rule equivalents with channel-specific notes for Discord role gates and Telegram command prefixes.
Validation, reconciliation, and cutover
We run row-count reconciliation for all migrated objects against the Mava export totals. We spot-check a random sample of 25-50 tickets for correct Contact attribution, thread message order, attachment presence, tag assignment, and timestamp accuracy. The customer reviews the sample and approves production migration. During cutover, we freeze new Mava writes, run a final delta migration of any records modified during the migration window, then mark Zoho Desk as the system of record. We deliver the bot intent inventory and webhook inventory documents for the customer's admin to begin rebuild planning. We do not rebuild automation in Zoho Desk as standard scope.
Platform deep dives
Mava
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 Mava 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
Mava: Not publicly documented..
Data volume sensitivity
Mava 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.
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