Helpdesk migration
Field-level mapping, validation, and rollback between Mava and Zendesk. We move data and schema; workflows are rebuilt natively in Zendesk.
Mava
Source
Zendesk
Destination
Compatibility
9 of 10
objects map 1:1 between Mava and Zendesk.
Complexity
BStandard
Timeline
2-4 weeks
Overview
Mava to Zendesk is a migration from a community-native AI support platform to an enterprise helpdesk with fundamentally different channel and identity models. Mava ties users to Discord IDs and Telegram IDs; Zendesk requires an email-based end-user identity. We resolve that gap during scoping by mapping platform-native IDs to Zendesk requester records or flagging unresolved identities for enrichment before migration. Mava's channel-specific AI bot intents (Discord, Telegram, web) do not have a direct Zendesk equivalent; we extract the full intent catalog across all channels and document it for your admin to rebuild using Zendesk macros, triggers, or a third-party AI bot layer. SLA policies, team structures, and conversation tags migrate as configuration where the destination supports them. Workflows, automations, and webhook payloads are not migratable as code; we deliver a written manifest of these for your team to rebuild in Zendesk Admin.
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 Zendesk, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Mava
Conversation
Zendesk
Ticket
1:1Mava Conversations map to Zendesk Tickets 1:1 with message history, timestamps, channel source metadata, and participant records preserved. The original channel source (Discord, Telegram, or web) is stored in a custom Zendesk ticket field mava_channel_source__c so agents can see where the conversation originated without switching context. Public replies migrate as Ticket Comments; internal notes migrate as private Zendesk comments.
Mava
Agent
Zendesk
Agent (End User with Agent role)
1:1Mava Agents map to Zendesk end users with the Agent role applied. We extract agent name, email, and role (admin or agent) and provision matching Zendesk user accounts. Agent assignment rules from Mava map to Zendesk's default ticket assignment model. Any Mava Agent without an email address is held in a reconciliation queue for the customer's admin to enrich before migration.
Mava
Team
Zendesk
Group
1:1Mava Teams with names and member lists map to Zendesk Groups. Zendesk Groups serve as the primary routing unit for ticket assignment. We preserve team member lists by resolving Mava agent references to Zendesk user IDs during migration. Groups are created before any ticket migration so that ticket.group_id references are satisfied at insert time.
Mava
Tag
Zendesk
Tag
1:1Mava conversation tags migrate to Zendesk Tags as key-value strings. Zendesk Tags are applied at the ticket level and used for filtering in Views and reporting. Tag-based SLA routing from Mava maps to Zendesk SLA Policy assignment by tag, which we configure during the SLA migration phase.
Mava
SLA Policy
Zendesk
SLA Policy
lossyMava SLA configurations (first-response and resolution time targets tied to channels or teams) map to Zendesk SLA Policies in Admin Center. We create Zendesk SLA Policies with matching time targets and attach them to tickets based on Mava's SLA assignment rules, which we resolve by channel and team at migration time. Holiday calendars and business hour definitions require manual configuration in Zendesk Admin Center post-migration.
Mava
User/Member
Zendesk
End User
1:1Mava community members tied to Discord or Telegram IDs map to Zendesk End Users. The primary migration challenge is resolving platform-native IDs to email addresses. Where a Discord user ID or Telegram user ID can be resolved to an email (via Mava enrichment data, webhook records, or the customer's Discord/Telegram server member list), we create a standard Zendesk end user with an email. Where identity cannot be resolved, we flag records for the customer to enrich or map to an anonymous contact placeholder in Zendesk.
Mava
Custom Webhook
Zendesk
Webhook (endpoint URL documented)
1:1Mava webhook configurations are customer-defined with no standardized payload schema. We extract every webhook endpoint URL, trigger condition, and channel association and document them in the migration manifest. The payload structures are too variable to map automatically; the customer's admin rebuilds the webhook triggers in Zendesk Admin Center using Zendesk's defined webhook schema and action types.
Mava
AI Bot Intent Catalog
Zendesk
Macro or Trigger (documented)
1:1Mava's AI bot intents are stored as JSON payloads per channel (Discord, Telegram, web) with intent names, conditions, and automated responses. These do not migrate as executable automation in Zendesk. We extract the full intent catalog across all channels, consolidate it into a single intent inventory document, and map each intent to a recommended Zendesk Macro or Trigger equivalent. The customer's admin implements the rebuild in Zendesk Admin Center using macros for response templates and triggers for routing and notification automation.
Mava
Attachment
Zendesk
Attachment
1:1Mava conversation attachments migrate to Zendesk ticket comment attachments. We handle file upload references during migration, preserving the original filename and MIME type. Attachments larger than the Zendesk API size limit (50 MB per file) are flagged for manual upload post-migration.
Mava
Channel Configuration
Zendesk
Channel Setup (documented)
1:1Mava's per-channel configuration (Discord channel IDs, Telegram bot tokens, web chat widget settings) is channel-specific and not portable to Zendesk. We extract the full channel configuration manifest — which channels are active, which are mapped to which Mava teams, and what routing rules apply — and deliver it as a written reference for the customer's admin to reconfigure in Zendesk under Channels and Admin Center.
| Mava | Zendesk | Compatibility | |
|---|---|---|---|
| Conversation | Ticket1:1 | Fully supported | |
| Agent | Agent (End User with Agent role)1:1 | Fully supported | |
| Team | Group1:1 | Fully supported | |
| Tag | Tag1:1 | Fully supported | |
| SLA Policy | SLA Policylossy | Fully supported | |
| User/Member | End User1:1 | Fully supported | |
| Custom Webhook | Webhook (endpoint URL documented)1:1 | Fully supported | |
| AI Bot Intent Catalog | Macro or Trigger (documented)1:1 | Fully supported | |
| Attachment | Attachment1:1 | Fully supported | |
| Channel Configuration | Channel Setup (documented)1:1 | 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
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 identity resolution audit
We audit the Mava account across active channels (Discord, Telegram, web), conversation volume, agent count, team structure, tag taxonomy, SLA policy definitions, webhook configurations, and AI bot intent catalog. The critical deliverable at this stage is the identity resolution audit: we extract all unique user records, assess what percentage have a resolvable email address versus a Discord ID or Telegram ID only, and report the unresolved identity rate to the customer. If the unresolved rate exceeds 20%, we recommend enrichment before migration. We also identify Mava's API or data export method (admin panel export, direct database read if accessible) to determine the extraction approach.
Zendesk target configuration
We configure the Zendesk target environment before any data moves. This includes provisioning Groups matching Mava's team structure, creating SLA Policies matching Mava's time targets and attaching them by tag or group, creating the mava_channel_source__c custom ticket field for channel origin tracking, setting up agent role assignments (Agent vs. Admin), and configuring the Zendesk channel integration (email routing, Chat widget if applicable). If the customer uses Zendesk's Advanced AI add-on, we document the Mava AI intent inventory for Advanced AI configuration post-migration.
Identity enrichment and reconciliation
We resolve Mava community member identities against email addresses. Where Discord or Telegram IDs can be resolved through Mava's enrichment data, webhook records, or a customer-supplied member list, we map them to Zendesk end users with verified email addresses. Records that cannot be resolved go to a reconciliation manifest. The customer enriches these records in Mava or provides a manual mapping table. Migration of user records cannot complete until every Zendesk end user has a valid email address or is flagged as an anonymous placeholder by the customer.
Group, SLA, and tag migration
We migrate Zendesk Groups, SLA Policies, and Tags before any ticket records. Groups are created with Mava team names and member lists. SLA Policies are configured with first-response and resolution time targets matching Mava's definitions. Tags are created in Zendesk. This establishes the routing and SLA attachment infrastructure so that tickets can reference these records at insert time without foreign key errors.
Conversation and engagement migration
We migrate Mava conversations to Zendesk tickets in chronological batches. Each ticket receives the original message history, timestamps, channel source (stored in the custom mava_channel_source__c field), tag assignments, SLA association, and agent assignments. Public messages migrate as public ticket comments; internal notes migrate as private Zendesk comments. We batch records in chunks aligned with Zendesk API rate limits, apply exponential backoff on rate limit responses, and reconcile row counts after each batch.
Webhook and bot intent inventory delivery
We deliver the migration manifest containing the full Mava webhook inventory (endpoint URLs, trigger conditions, associated channels), the AI bot intent catalog across all channels (intent name, conditions, automated response, channel), and the channel configuration manifest (active channels, routing rules, team associations). This is a written document for the customer's admin to use for rebuilding in Zendesk Admin Center. We do not execute webhook or automation rebuild as part of the standard migration scope.
Platform deep dives
Mava
Source
Strengths
Weaknesses
Zendesk
Destination
Strengths
Weaknesses
Complexity grading
Standard Helpdesk migration. All 7 core objects map 1:1 between Mava and Zendesk.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Mava and Zendesk.
Object compatibility
All 7 core objects map 1:1 between Mava and Zendesk.
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.
Step 1
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Category
FAQ
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