Helpdesk migration
Field-level mapping, validation, and rollback between Rezolve.ai and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.
Rezolve.ai
Source
Salesforce Service Cloud
Destination
Compatibility
7 of 11
objects map 1:1 between Rezolve.ai and Salesforce Service Cloud.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Rezolve.ai is a Microsoft Teams-first agentic AI help desk that auto-resolves IT and HR tickets using proprietary AI Skills and Task Skills. Migrating to Salesforce Service Cloud means moving from a Teams-native interface and AI-powered resolution engine to a structured Case object model with Einstein AI capabilities. Rezolve.ai does not expose a public data export API for tickets or knowledge articles, so we use admin exports and direct extraction to retrieve records. AI Skills and Workflows are Rezolve.ai-specific automation units that cannot be imported into Service Cloud; we document every skill trigger and workflow logic during scoping so the destination admin can rebuild them using Flow or Einstein AI. Knowledge Articles migrate as Salesforce Knowledge records with original skill associations preserved for reference during reconstruction. Teams, Agents, and Users transfer 1:1, with team structures mapped to Service Cloud Queues and routing rules configured to match the original Rezolve.ai routing logic.
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.
Source platform
Rezolve.ai platform overview
Scorecard, SWOT, gotchas, and pricing for Rezolve.ai.
Destination platform
Salesforce Service Cloud platform overview
Scorecard, SWOT, gotchas, and pricing for Salesforce Service Cloud.
Data migration guide
The complete Salesforce Service Cloud migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Salesforce Service Cloud migration checklist
Pre- and post-cutover tasks for moving onto Salesforce Service Cloud.
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 Salesforce Service Cloud, 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
Salesforce Service Cloud
Case
1:1Rezolve.ai Tickets map to Salesforce Service Cloud Case records. Ticket Status (Open, Pending, Resolved, Closed) maps to Case Status with a custom field rezolve_original_status__c preserving the source value. Ticket Priority maps to Case Priority. We extract the ticket number as a custom field rezolve_ticket_id__c for cross-reference. Parent-child ticket relationships (linked issues, sub-tasks) map to Salesforce Case Hierarchical Relationships or a custom Case lookup field depending on the destination org's configuration.
Rezolve.ai
Conversation
Salesforce Service Cloud
EmailMessage + Task
1:manyRezolve.ai conversation threads attached to Tickets split into Salesforce EmailMessage records (message content) and Task records (activity timeline entries). Each conversation turn becomes either an EmailMessage linked to the Case via ParentId, or a Task with Status, ActivityDate, and description populated from the original message. Teams-specific formatting, emoji reactions, and threading metadata do not transfer. The original thread structure is preserved in the message order for chronological reconstruction on the Case timeline.
Rezolve.ai
Knowledge Article
Salesforce Service Cloud
Knowledge Article Version
1:1Rezolve.ai Knowledge Articles migrate to Salesforce Knowledge with one KnowledgeArticleVersion record per language version. Article body, summary, and categories transfer. AI-resolution metadata (confidence thresholds, linked Skills, auto-resolution rules) is Rezolve.ai-specific and does not migrate directly. We preserve the skill associations in a custom long-text field rezolve_skill_links__c so the destination admin can reference the original resolution logic when rebuilding triggers in Service Cloud Flow or Einstein AI.
Rezolve.ai
User
Salesforce Service Cloud
Contact
1:1Rezolve.ai end-user records (employees submitting tickets) migrate to Salesforce Contact. Email, name, department, manager, and location fields transfer 1:1. Role assignments (end user vs agent) do not map directly because Salesforce Contact does not carry a role; we create a custom picklist field rezolve_user_role__c to preserve whether the original was an employee or an agent. Contacts are imported before Cases so that the lookup relationship is satisfied at insert time.
Rezolve.ai
Agent
Salesforce Service Cloud
User
1:1Rezolve.ai Agent records map to Salesforce User records for agents who will have login access to Service Cloud, and to Contact records for agents who will not. We extract agent profile information (name, email, team assignment, workload metrics) and map team assignments to Salesforce Queues or Public Groups. Agents without a matching Salesforce User are imported as Contacts with the rezolve_user_role__c field set to Agent for record-keeping. SLA assignments and escalation rules are configuration items documented for manual setup in Service Cloud.
Rezolve.ai
Team
Salesforce Service Cloud
Queue
1:1Rezolve.ai Teams represent routing groups and service desk squads. Team structures migrate to Salesforce Service Cloud Queues, with team membership mapped to QueueGroup membership. Routing rules from Rezolve.ai are documented as configuration requirements for Service Cloud Assignment Rules and Omni-Channel routing. If the destination org uses Salesforce Lightning, we configure Queues before the Case migration so that owner assignment is valid at insert time.
Rezolve.ai
Skill
Salesforce Service Cloud
Flow or Einstein AI
lossyRezolve.ai Knowledge Skills and Task Skills are AI-resolution units tied to the platform's LLM infrastructure. They have no direct Salesforce equivalent. We document the business intent of each Skill (what triggers it, what knowledge it uses, what resolution path it follows) in the migration audit deliverable. The destination admin rebuilds Skills using Salesforce Flow, Einstein AI for Service, or a combination of Flow triggers and Knowledge article routing rules. This is a manual reconstruction step outside the data migration scope.
Rezolve.ai
Workflow
Salesforce Service Cloud
Flow
lossyRezolve.ai workflows define automation sequences for ticket routing, approvals, and escalations using proprietary AI logic. They do not export in standard formats and cannot be imported into Salesforce. We export workflow definitions, triggers, conditions, and actions during discovery and deliver a written workflow inventory with a recommended Salesforce Flow equivalent for each automation. The customer admin or a Salesforce partner rebuilds the automations post-migration. This is documented separately from the data migration scope.
Rezolve.ai
Custom Field
Salesforce Service Cloud
Custom Field
1:1Custom fields on Rezolve.ai Tickets, Knowledge Articles, and other objects migrate with their data types and values. We flag any custom fields that reference Rezolve.ai-specific picklist values, formula references, or conditional logic tied to the platform. These require manual reconfiguration on the destination because picklist value sets do not transfer across platforms. We pre-create the destination custom fields in the Salesforce org schema before data import begins.
Rezolve.ai
Attachment
Salesforce Service Cloud
ContentVersion + ContentDocumentLink
1:1File attachments on tickets, knowledge articles, and conversations migrate as Salesforce ContentVersion records (the binary blob) linked via ContentDocumentLink to the parent Case, Contact, or Knowledge Article. We preserve the original file name, MIME type, and upload date. Storage location references from Rezolve.ai are not transferable; files are re-hosted in Salesforce Files or the customer's connected storage solution post-migration.
Rezolve.ai
Report
Salesforce Service Cloud
Report
lossyRezolve.ai built-in reporting dashboards for resolution rates, ticket volumes, and CSAT do not migrate directly. We export report configuration metadata (report names, filters, metrics) and deliver a written report inventory with recommended Salesforce Reports equivalents for each dashboard. Complex reports with custom metric formulas require manual rebuild using Salesforce Report Builder. Basic record counts and status distributions map directly to standard Service Cloud report types.
| Rezolve.ai | Salesforce Service Cloud | Compatibility | |
|---|---|---|---|
| Ticket | Case1:1 | Fully supported | |
| Conversation | EmailMessage + Task1:many | Fully supported | |
| Knowledge Article | Knowledge Article Version1:1 | Fully supported | |
| User | Contact1:1 | Fully supported | |
| Agent | User1:1 | Fully supported | |
| Team | Queue1:1 | Fully supported | |
| Skill | Flow or Einstein AIlossy | Fully supported | |
| Workflow | Flowlossy | Fully supported | |
| Custom Field | Custom Field1:1 | Fully supported | |
| Attachment | ContentVersion + ContentDocumentLink1:1 | Fully supported | |
| Report | Reportlossy | 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.
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
Salesforce Service Cloud gotchas
Data Export 512MB file size cap breaks large org exports
API Daily Request Limits vary by license edition
No automatic data backup in base Salesforce
Picklist dependencies silently break records when unmapped
Workflow rules fire unexpectedly during data load
Pair-specific challenges
Migration approach
Discovery and extraction planning
We audit the Rezolve.ai portal across custom fields, active workflows, Knowledge Skills, Task Skills, team structures, and knowledge base volume. We assess the destination Salesforce Service Cloud edition requirements based on case volume, agent count, and Einstein AI feature needs. Because Rezolve.ai has no public export API, we design a custom extraction strategy using admin exports, database queries where accessible, and UI-based extraction tools. The discovery output is a written migration scope, extraction plan, and a Service Cloud edition recommendation.
Schema design in Salesforce Sandbox
We design the destination schema in a Salesforce Sandbox. This includes creating custom fields on Case, Contact, and Knowledge Article (with __c API names matched to Rezolve.ai field names), configuring Case Record Types and Status values to match Rezolve.ai ticket stages, setting up Queues for team-based routing, and defining the Case timeline structure for conversation migration. Knowledge article types are configured to match Rezolve.ai knowledge categories. Schema is validated in Sandbox before production deployment.
Data extraction and transformation
We execute the extraction strategy designed in discovery. Tickets, conversations, knowledge articles, users, agents, and teams are extracted from Rezolve.ai using the available methods. We transform each record set against the mapping specification: Ticket to Case, Conversation to EmailMessage and Task, Knowledge Article to Knowledge Article Version. We resolve lookups (user references, team references) and apply the custom field transformations flagged during discovery. Extracted data is staged in a migration workbench for reconciliation before load.
Sandbox migration and reconciliation
We run a full migration into the Salesforce Sandbox using production-like data volumes. The customer's Service Desk lead reconciles record counts (Cases in, Contacts in, Knowledge Articles in), spot-checks 25-50 random records against the Rezolve.ai source, and validates the conversation timeline structure. Any mapping corrections happen in this phase before production migration begins. The customer signs off on the sandbox results before we proceed to production.
Production migration in dependency order
We run production migration in record-dependency order: Queues and Public Groups (team structure), Contacts (Users if applicable), Knowledge Articles (before Cases so that article lookups resolve), then Cases (with owner and queue assignments resolved). Conversation threads load as EmailMessage and Task records linked to the parent Case. Custom fields and attachments load in parallel with their parent records. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation handoff
We freeze Rezolve.ai writes during cutover, run a final delta migration of any records modified during the migration window, then enable Salesforce Service Cloud as the system of record. We deliver the Skill and Workflow inventory document to the customer's admin team. We support a one-week hypercare window where we resolve any reconciliation issues. We do not rebuild Rezolve.ai Skills and Workflows as Salesforce Flow inside the migration scope; that is documented separately for the admin team or a Salesforce partner engagement.
Platform deep dives
Rezolve.ai
Source
Strengths
Weaknesses
Salesforce Service Cloud
Destination
Strengths
Weaknesses
Complexity grading
Moderate Helpdesk migration. 1 of 7 objects need a manual workaround.
Overall complexity
Moderate migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Rezolve.ai and Salesforce Service Cloud.
Object compatibility
1 of 7 objects need a manual workaround.
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.
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