Helpdesk migration
Field-level mapping, validation, and rollback between Deepser and Salesforce Service Cloud. We move data and schema; workflows are rebuilt natively in Salesforce Service Cloud.
Deepser
Source
Salesforce Service Cloud
Destination
Compatibility
9 of 10
objects map 1:1 between Deepser and Salesforce Service Cloud.
Complexity
CModerate
Timeline
3-5 weeks
Overview
Moving from Deepser to Salesforce Service Cloud is a shift from an ITSM-focused ticketing tool to a CRM-backed service platform. Deepser models Service Requests and Change Requests as the primary ticket objects with ITIL-aligned workflows and a grid-based export mechanism. Salesforce Service Cloud uses the Case object as its single case record, with Account and Contact hierarchies providing the parent context. We resolve the change-type classification (Standard, Minor, Major, Emergency) as a custom picklist field on Case since Salesforce has no native equivalent, and we migrate the ITAM asset registry as Salesforce Asset records with custom fields carrying Deepser's custom properties. Knowledge base articles export from Deepser's grid and are re-created in Salesforce Knowledge. Deepser Workflows, SLA configurations, and report definitions do not migrate as code; we deliver a written inventory of these for the customer's admin to rebuild in Salesforce Flow and Reports 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.
Source platform
Deepser platform overview
Scorecard, SWOT, gotchas, and pricing for Deepser.
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 Deepser 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.
Deepser
Service Request
Salesforce Service Cloud
Case
1:1Deepser Service Requests map directly to Salesforce Case. The request's priority, status, category, assigned agent, requester customer, and timestamps migrate as corresponding Case fields. Deepser's requester Customer record links to the migrated Contact in Salesforce, establishing the WhoId on Case. We validate required fields (Status, Priority, Origin) against the destination org's field-level security before migration.
Deepser
Change Request
Salesforce Service Cloud
Case (Record Type = Change Request)
1:1Deepser Change Requests follow the same schema as Service Requests but include a change-type classification (Standard, Minor, Major, Emergency). Salesforce has no native change-type field on Case, so we create a custom picklist field ds_change_type__c to carry the original Deepser value. The Record Type distinguishes Change Request cases from standard Service Request cases. We preserve change-type values during scoping so the custom picklist is configured before migration begins.
Deepser
Customer
Salesforce Service Cloud
Contact
1:1Deepser Customers (requester entities linked to tickets) map to Salesforce Contact. The full contact card migrates including name, email, phone, company association, and any custom fields defined on the Customer module. Deepser's company link becomes the AccountId lookup on Contact, which is resolved after the Account import phase. Custom field schemas vary per Deepser installation; we discover the full set during scoping and map each to a typed Salesforce field.
Deepser
Company
Salesforce Service Cloud
Account
1:1Deepser Companies function as organizational parent records for Customers. The Company name migrates to Salesforce Account Name, and the account hierarchy is preserved by resolving parent-company lookups at migration time. Company-level custom fields (industry classification, contract tier, etc.) map to Salesforce Account custom fields. Account is created before Contact import so that the AccountId lookup is satisfied at the moment of Contact insert.
Deepser
IT Asset
Salesforce Service Cloud
Asset
1:1Deepser IT Assets (hardware and software tracked in the ITAM module) map to Salesforce Asset records with serial number, type, location, assigned contact, and lifecycle status. Deepser custom asset properties vary per installation; we discover the full custom field schema during scoping and create matching Salesforce custom fields on Asset before migration. Asset-to-Contact assignments resolve against the Contact mapping so that the ContactId reference is satisfied.
Deepser
Agent
Salesforce Service Cloud
User
1:1Deepser Agents (internal users who receive and resolve tickets) map to Salesforce User records. We resolve by email match against the destination org's User table. Agents without a matching Salesforce User enter a reconciliation queue; the customer's admin provisions missing Users before record migration resumes. Deepser's role and team assignments map to Salesforce Profile, Role, and Queue membership.
Deepser
Knowledge Base Article
Salesforce Service Cloud
Knowledge Article
1:1Deepser knowledge base articles (internal or customer-facing content linked to tickets) export through the grid. Article content, categories, and URL-name references migrate and are re-created in Salesforce Knowledge. Salesforce requires Knowledge to be enabled and configured with Article Types before import; we scope this during the destination configuration phase. The customer reviews article categorization and assigns Salesforce article types during validation.
Deepser
Custom Field (Tickets, Customers, Assets)
Salesforce Service Cloud
Custom Field
lossyDeepser custom field schemas vary per installation and exist across multiple modules. During scoping, we discover the full custom field inventory (field name, data type, applied-to module) and map each to the corresponding Salesforce field type. Salesforce custom fields are created in the destination org before any data import begins. The mapping document is reviewed and signed off during the sandbox migration phase.
Deepser
Workflow
Salesforce Service Cloud
Salesforce Flow (documented, not migrated)
1:1Deepser ITIL-aligned workflows (sequences of approval gates, task assignments, and automated routing triggered by service or change requests) do not migrate as Salesforce Flow. The workflow definitions and step types are documented during scoping, and we deliver a written inventory with each step's trigger, conditions, actions, and recommended Salesforce Flow equivalent. The customer's admin or a Salesforce partner rebuilds workflows in Flow Builder or Omni-Channel post-migration.
Deepser
SLA Record
Salesforce Service Cloud
Entitlement Process (documented, not migrated)
1:1Deepser SLA records define response-time and resolution-time thresholds linked to ticket categories and priority levels. Salesforce Entitlement Management handles SLA tracking through Entitlement Processes and Milestones attached to Contacts or Accounts. We document the existing SLA thresholds, business hours, and assignment rules and deliver a written recommendation for rebuilding them in Salesforce Entitlement Management. Rebuild is outside migration scope.
| Deepser | Salesforce Service Cloud | Compatibility | |
|---|---|---|---|
| Service Request | Case1:1 | Fully supported | |
| Change Request | Case (Record Type = Change Request)1:1 | Fully supported | |
| Customer | Contact1:1 | Fully supported | |
| Company | Account1:1 | Fully supported | |
| IT Asset | Asset1:1 | Fully supported | |
| Agent | User1:1 | Fully supported | |
| Knowledge Base Article | Knowledge Article1:1 | Fully supported | |
| Custom Field (Tickets, Customers, Assets) | Custom Fieldlossy | Fully supported | |
| Workflow | Salesforce Flow (documented, not migrated)1:1 | Fully supported | |
| SLA Record | Entitlement Process (documented, not migrated)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.
Deepser gotchas
Minimum 3-agent seat requirement affects pricing scoping
No public REST API for automated data extraction
Report and dashboard definitions are not exportable
ITIL Workflow step types require explicit destination mapping
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 scoping
We audit the Deepser instance across all modules: Service Requests, Change Requests, Customers, Companies, IT Assets, Agents, knowledge base articles, custom fields, and any billing or SLA records. We review active filters and export settings in the grid interface to confirm the dataset scope before any extraction begins. We pair this with a Salesforce destination audit: Service Cloud licensing status, existing org configuration, active validation rules, custom field inventory, and whether Knowledge is already enabled. The discovery output is a written migration scope document with record counts per object, custom field mapping sheets, and a list of any destination pre-requisites.
Grid export coordination and staging
Since Deepser has no public API, we coordinate with the customer to perform grid-based XLSX/CSV exports from each module. We instruct the customer to clear all active filters and sorting before export to avoid silent truncation, verify the exported row count against the in-application record count, and export large modules (IT Assets, Service Request history) in separate passes if the dataset exceeds the grid's visible row limit. Multiple export files are reconciled in our staging environment to produce a single clean dataset per object before any mapping begins.
Salesforce destination preparation
Before any data loads, we work with the customer's Salesforce admin to configure the destination org. This includes creating the ds_change_type__c custom picklist on Case for Deepser change-type values, enabling Salesforce Knowledge and configuring article types (if not already enabled), provisioning any missing Salesforce Users for Deepser Agents, setting up Queues for case assignment, creating Salesforce custom fields to receive Deepser custom field values, disabling or extending validation rules for the migration user, and granting the migration user Modify All Data and Bulk API permissions. This step prevents silent import rejections during the load phase.
Sandbox migration and reconciliation
We run a full migration into a Salesforce Sandbox using production-like data volume before touching the production org. The customer's service desk lead reviews record counts per object (Cases in, Contacts in, Accounts in, Assets in), spot-checks 25-50 random Case records against the Deepser source for field accuracy and lookup resolution, confirms knowledge article content is intact, and validates that change-type values are present in ds_change_type__c. Schema corrections and mapping adjustments happen in sandbox, not in production. The customer signs off the sandbox migration before we proceed to production.
Production migration in dependency order
Production migration runs in dependency order: Accounts (from Deepser Companies), Contacts (with AccountId resolved), Cases (with ContactId, AccountId, OwnerId, and RecordTypeId resolved, change-type into ds_change_type__c), Assets (with ContactId resolved against the Contact mapping), Users (Agent mapping validated), and Knowledge articles (after Knowledge is configured). Each phase emits a row-count reconciliation report before the next phase begins. Deepser data writes are frozen during the production cutover window. We run a final delta sync of any records modified or created during the cutover window before declaring migration complete.
Cutover, validation, and workflow handoff
We re-enable validation rules and triggers in Salesforce, disable Deepser access, and deliver the migration completion report. We provide a written handoff package covering the ds_change_type__c change-type mapping reference, queue and assignment rules rebuild guide, Salesforce Knowledge article list with Deepser source content, custom field mapping sheets, and the workflow and SLA inventory document listing each Deepser workflow step and its recommended Salesforce Flow equivalent. We support a one-week hypercare window for immediate reconciliation issues. Rebuilding Deepser Workflows as Salesforce Flow and rebuilding report definitions in Salesforce Reports are outside migration scope and are handled by the customer's admin team or a Salesforce partner.
Platform deep dives
Deepser
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 Deepser 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
Deepser: Not publicly documented.
Data volume sensitivity
Deepser 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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