Helpdesk migration

Migrate from Deepser to Salesforce Service Cloud

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 logo

Deepser

Source

Salesforce Service Cloud

Destination

Salesforce Service Cloud logo

Compatibility

90%

9 of 10

objects map 1:1 between Deepser and Salesforce Service Cloud.

Complexity

CModerate

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Deepser logo

Deepser

What's pushing teams away

  • Deepser's native integrations are limited to Teams, NinjaOne RMM, and Datto RMM; teams with broad CRM or ITSM ecosystem needs find the app-connector library too thin.
  • Small partner ecosystem and limited consulting resources mean implementation and post-go-live support rely heavily on internal IT staff.
  • Grid export is the primary data egress path; teams expecting a documented public REST API for automated exports or integrations find the tooling gaps a blocker to scaling operations.

Choosing

Salesforce Service Cloud logo

Salesforce Service Cloud

What's pulling them in

  • Deep Salesforce ecosystem integration with Sales Cloud, Marketing Cloud, and custom Apex apps creates a single pane of glass for enterprise customer data and cross-functional workflows.
  • Omnichannel case routing — email, chat, phone, social, and messaging — unified under one case object means agents do not lose context when customers switch channels mid-interaction.
  • AI for customer service (Einstein AI / Agentforce) offers automated case classification, suggested replies, and chatbot routing that reduces Tier-1 ticket volume without manual rule authoring.
  • Entitlement and milestone tracking enforces SLA compliance natively, automatically calculating breach windows and surfacing violations to supervisors in dashboards.
  • Salesforce's massive AppExchange ecosystem provides pre-built connectors, industry-specific managed packages, and third-party tools that extend Service Cloud beyond its out-of-box capabilities.

Object mapping

How Deepser objects map to Salesforce Service Cloud

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

maps to

Salesforce Service Cloud

Case

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Case (Record Type = Change Request)

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Contact

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Account

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Asset

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

User

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Knowledge Article

1:1
Fully supported

Deepser 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)

maps to

Salesforce Service Cloud

Custom Field

lossy
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Salesforce Flow (documented, not migrated)

1:1
Fully supported

Deepser 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

maps to

Salesforce Service Cloud

Entitlement Process (documented, not migrated)

1:1
Fully supported

Deepser 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.

Gotchas + challenges

What specifically takes care here

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 logo

Deepser gotchas

Medium

Minimum 3-agent seat requirement affects pricing scoping

High

No public REST API for automated data extraction

Medium

Report and dashboard definitions are not exportable

Medium

ITIL Workflow step types require explicit destination mapping

Salesforce Service Cloud logo

Salesforce Service Cloud gotchas

High

Data Export 512MB file size cap breaks large org exports

High

API Daily Request Limits vary by license edition

High

No automatic data backup in base Salesforce

Medium

Picklist dependencies silently break records when unmapped

Medium

Workflow rules fire unexpectedly during data load

Pair-specific challenges

  • No public API means grid export is the only data path

    Deepser does not publish a documented public API. All data egress relies on the grid-based XLSX/CSV export from each module view. The export respects whatever filters and sorting are active at export time, which means data can be silently truncated if the customer has not cleared all filters before exporting. We always instruct customers to verify the full dataset scope, export each module independently, and we reconcile multiple export passes in our staging environment before any transformation begins. Large datasets may require multiple export files that must be merged without duplicates.

  • Salesforce validation rules and FLS block imports silently

    Salesforce orgs commonly run active validation rules (required formats, conditional requireds, picklist whitelists) and field-level security (FLS) that prevent the migration user from writing records. The result is a partial migration with no visible error until record counts are reconciled. We coordinate with the customer's Salesforce admin before migration to grant the migration user Modify All Data and Bulk API permissions, enable audit fields (Set Audit Fields upon Record Creation), and either temporarily disable validation rules with a migration-context check or extend the rules to skip the migration user. Validation rules are re-enabled after migration completes.

  • Change-type classification needs a custom Salesforce field

    Deepser Change Requests include a change-type classification (Standard, Minor, Major, Emergency) that distinguishes standard changes from minor, major, or emergency changes in the ITIL framework. Salesforce Case has no native change-type field. We create a custom picklist field ds_change_type__c on the Case object and carry the original Deepser value through migration. The customer configures the picklist values during scoping so the field is ready before Case migration begins. This is a configuration step, not a data transformation step.

  • Report definitions and dashboard layouts are not exportable

    Deepser stores report definitions and dashboard layouts internally with no documented export endpoint. Customers who rely on specific Deepser reports receive the underlying data export and a written documentation of the report metrics, filters, chart types, and layout structure so that the destination admin can rebuild the reports in Salesforce Reports. We do not migrate report definitions. The report handoff document is delivered during the validation phase so that the admin can begin rebuilding before the cutover date.

  • Knowledge base requires Salesforce configuration before import

    Deepser knowledge base articles are accessible through the grid export. However, Salesforce Knowledge requires explicit configuration before import: the org must have Knowledge enabled, article types must be created, and article data categories must be assigned. If the destination org does not yet have Knowledge configured, this step adds time to the migration timeline and requires coordination with the customer's Salesforce admin. We scope Knowledge configuration during the discovery phase and document any pre-requisites before migration begins.

Migration approach

Six steps for a successful Deepser to Salesforce Service Cloud data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

Deepser logo

Deepser

Source

Strengths

  • Combines ITSM ticketing and ITAM asset tracking in a single subscription without requiring a second tool.
  • Grid-based export to XLSX or CSV works across all modules, giving customers a consistent data-out mechanism.
  • ITIL-aligned workflow engine standardizes change and service request routing across the organization.
  • Per-agent pricing model with volume discounts provides cost predictability as team size grows.
  • Multilingual interface (English, Italian, Spanish, German) supports multinational IT departments.

Weaknesses

  • Native third-party integrations are limited to Teams, NinjaOne RMM, and Datto RMM, restricting ecosystem connectivity.
  • No publicly documented REST API means automated data extraction relies on grid export, limiting migration flexibility.
  • Small partner ecosystem and limited consulting resources increase reliance on internal IT staff for implementation and troubleshooting.
  • Report and dashboard definitions are not exportable, requiring manual rebuild in the destination system.
  • Billing recalculation logic and billing object schemas differ from standard CRM billing models, requiring custom field-level mapping.
Salesforce Service Cloud logo

Salesforce Service Cloud

Destination

Strengths

  • Enterprise-grade security, compliance certifications, and audit logging available across all paid editions with Shield offering enhanced event monitoring.
  • Scalable multi-tenant cloud architecture supporting orgs from 5 users to 150,000+ seat enterprises without infrastructure management overhead.
  • Omnichannel contact center unifying email, live chat, phone, messaging, and social into a single Case timeline per customer interaction.
  • Rich workflow automation via Salesforce Flow, Process Builder, and Apex triggers enabling complex case escalation, routing, and field updates.
  • Native AI capabilities (Agentforce / Einstein) for case auto-routing, classification, suggested responses, and chatbot escalation without third-party add-ons.

Weaknesses

  • Per-seat pricing model with no contact limits creates unpredictable cost scaling for large organizations adding many agents over time.
  • No automatic data backup — organizations must purchase a third-party backup solution or build manual Data Loader exports to protect against data loss from human error, failed deployments, or integrations overwriting records.
  • Steep learning curve for non-technical users requiring dedicated admin resources and formal training investment before teams reach productive velocity.
  • Annual contract requirements and limited pro-ration on exit create significant switching cost friction, especially for organizations evaluating alternatives mid-cycle.
  • Add-on licensing (CPQ, Einstein Activity Capture, Shield, Data Cloud) can double effective per-seat cost without clear documentation of which features are included in base tiers.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 1 of 7 objects need a manual workaround.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Deepser and Salesforce Service Cloud.

  • Object compatibility

    C

    1 of 7 objects need a manual workaround.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Deepser: Not publicly documented.

  • Data volume sensitivity

    B

    Deepser doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Deepser to Salesforce Service Cloud migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about Deepser to Salesforce Service Cloud data migrations

Answers to the questions buyers ask most during Deepser to Salesforce Service Cloud migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your Deepser to Salesforce Service Cloud migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

No. Deepser ITIL-aligned workflows (sequences of approval gates, task assignments, and automated routing) and SLA records do not migrate as Salesforce Flow or Entitlement Processes. The two automation models differ structurally and require manual rebuild. We deliver a written inventory of every active Deepser Workflow and SLA record with its trigger, conditions, thresholds, and recommended Salesforce Flow or Entitlement Process equivalent. The customer's admin or a Salesforce partner rebuilds them post-migration as a separate engagement.

Adjacent paths

Related migrations to explore

Ready when you are

Move from Deepser.
Land in Salesforce Service Cloud, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day