Helpdesk migration

Migrate from Startly to Intercom

Field-level mapping, validation, and rollback between Startly and Intercom. We move data and schema; workflows are rebuilt natively in Intercom.

Startly logo

Startly

Source

Intercom

Destination

Intercom logo

Compatibility

45%

5 of 11

objects map 1:1 between Startly and Intercom.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Startly to Intercom is a category change as much as a data move. Startly is an ITSM platform built for internal IT teams managing incidents, problems, changes, and configuration items under formal SLA contracts. Intercom is a customer messaging and support platform built for external-facing conversations with buyers and customers. We migrate the records that have a direct structural equivalent: Tickets become Intercom Conversations or Tickets (configured at scoping), Users become Contacts or Teammates depending on role, and Assets become Custom Objects. Startly's CMDB entries, SLA policies, Change Requests, and Knowledge Base articles do not have native Intercom equivalents; we extract them as structured data and document the manual re-creation steps. Workflows, automations, and approval chains are platform-specific and do not migrate. We deliver a written object inventory and a rebuild guide for these so your team recreates them inside Intercom's automation layer 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

Startly logo

Startly

What's pushing teams away

  • Reporting and dashboard capabilities are consistently cited as the weakest part of the platform — not on par with enterprise ITSM tools for project phase exploration or individual contribution analysis.
  • Power users report encountering bugs and errors in more complex workflows, suggesting the platform is better suited to straightforward ticket and asset management than advanced process automation.
  • The absence of a free plan and a relatively small review footprint compared to major ITSM competitors makes it harder for prospects to gauge real-world maturity before committing.

Choosing

Intercom logo

Intercom

What's pulling them in

  • Instant chat and message threading on websites and apps gives support teams a single inbox without context-switching, according to reviewers on Capterra and G2 who highlight fast response times as a primary benefit.
  • Fin AI handles repetitive inbound queries automatically, reducing agent workload measurably — G2 reviewers report fewer escalations and faster first-response times once Fin is configured.
  • Automation workflows (Outbound, Operator, and custom bots) allow teams to qualify leads and route tickets without manual intervention, appealing to growth-stage SaaS companies managing high ticket volumes.
  • Help center articles and self-service deflection are natively integrated, so knowledge base content and chat conversations live in the same workspace, simplifying reporting.
  • Multi-channel support (live chat, email, SMS, WhatsApp, Phone) consolidates customer touchpoints into one inbox, reducing the operational overhead of managing separate tools.

Object mapping

How Startly objects map to Intercom

Each row shows how a Startly object lands in Intercom, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Startly

Ticket

maps to

Intercom

Conversation or Ticket

lossy
Fully supported

Startly Tickets are the core ITSM object with priority, status, SLA, assignee, requester, and conversation threads. During scoping, we configure whether tickets migrate as Intercom Conversations (preferred for conversational context) or Intercom Tickets (preferred for formal SLA-driven workflows). Startly ticket priority maps to Intercom Conversation priority or Ticket priority level. SLA response timestamps from Startly are preserved as custom attributes for re-entry in Intercom Inbox Rules or Service Level Intervals.

Startly

User / Team Member

maps to

Intercom

Contact or Teammate

1:many
Fully supported

Startly Users include internal IT staff and end-user requesters. We split at migration time: internal Startly team members with admin or agent roles map to Intercom Teammates; external users who submitted tickets map to Intercom Contacts. Email is the dedupe key. We flag any Startly user without an email address for manual review before import.

Startly

Asset

maps to

Intercom

Custom Object (Asset)

1:1
Fully supported

Startly Assets (hardware inventory, software licenses, peripherals) map to an Intercom Custom Object named Asset with custom fields for type, status, assigned user, location, and serial number. Startly's asset-to-user assignment maps to a Custom Object relationship linking each Asset to the corresponding Contact or Teammate. Startly does not export assets as portable foreign keys; we reconstruct the relationship by matching asset-assigned-user email against the migrated Contact list.

Startly

CMDB Entry

maps to

Intercom

Custom Object (Configuration Item)

1:1
Fully supported

Startly CMDB entries (servers, network devices, software installations) map to an Intercom Custom Object named Configuration Item with fields for CI name, type, status, and relationship type. Startly CI-to-CI relationships are preserved as a separate Custom Object relationship table (CI Relationship) that documents the parent-child and dependency links. Intercom does not have a native CMDB or relationship graph; the CI and relationship data migrates as structured custom object records and the customer recreates visual CI linkage inside Intercom manually or via a third-party CMDB integration.

Startly

Project

maps to

Intercom

Custom Object (Project)

1:1
Fully supported

Startly Projects bundle tasks, time entries, and budget data. We migrate project metadata (name, description, status, dates, owner) as an Intercom Custom Object. Linked task counts and milestone indicators transfer as custom fields. Startly budget and profitability fields have no Intercom equivalent and are documented in a supplemental CSV with a note to the customer to evaluate a project management integration post-migration if budget tracking is operationally required.

Startly

Task

maps to

Intercom

Task (Intercom standard)

1:1
Fully supported

Startly Tasks (standalone and project-sub-tasks) with name, description, status, assignee, and due date migrate to Intercom Tasks. Startly custom task properties migrate as custom attributes on the Task. Tasks linked to specific tickets in Startly link to the migrated Intercom Conversation or Ticket via the conversation_id or ticket_id reference.

Startly

Time Entry

maps to

Intercom

Task custom attributes

lossy
Fully supported

Startly Time Entries track labor against tickets and projects. We extract time entry records with their linked ticket reference and migrate them as custom numeric attributes on the corresponding Intercom Conversation or Ticket (e.g., total_hours_spent__c). Standalone time entry IDs are not portable; we assign new Intercom task references at migration time. Time entries that cannot be linked to a migrated conversation are documented in a supplemental report for manual association.

Startly

SLA Policy

maps to

Intercom

Reference document (manual rebuild)

lossy
Fully supported

Startly SLA definitions (response time, resolution time, business hours, priority-to-SLA mapping) are platform-specific configuration with no portable equivalent in Intercom. We extract the full SLA configuration as a structured reference document during migration that lists every SLA schedule, its linked priority tiers, and the hours and thresholds in plain-language form. The customer's Intercom admin rebuilds SLAs using Intercom Inbox Rules or Service Level Intervals from this reference. SLA-to-ticket linkage is documented by mapping each Startly SLA ID to the migrated conversation priority level.

Startly

Knowledge Base Article

maps to

Intercom

Article (Intercom Help Center)

lossy
Fully supported

Startly KB articles (title, body content, author, publish status) migrate to Intercom Help Center articles via the Articles API. Startly category-to-article relationships and internal cross-links are not portable foreign keys. We extract the full article hierarchy as a structured export and document the original parent-child relationship so the customer's content team can re-establish the navigation structure inside Intercom's Help Center editor. Articles linked to specific Startly ticket categories get a tag applied in Intercom for manual re-categorization.

Startly

Service Catalog Item

maps to

Intercom

Custom Object (Service Request) or Article

lossy
Fully supported

Startly Service Catalog items define requestable services with associated forms, approval workflows, and KB article links. We migrate the catalog item structure (name, description, category, linked KB articles) as Intercom Articles or as a Custom Object named Service Request. Approval routing rules are not portable and must be rebuilt inside Intercom's workflows. We deliver a catalog item inventory document with the original routing logic described so the customer's admin can recreate approval chains in Intercom's automation layer.

Startly

Change Request

maps to

Intercom

Custom Object (Change Request)

1:1
Fully supported

Startly Change Requests manage change lifecycle with risk assessment, approval fields, and linked CIs from the CMDB. We migrate Change Request records (title, description, status, risk level, approval status, linked CI references) as an Intercom Custom Object. The risk matrix scoring and approval workflow routing are platform-specific and documented in the rebuild reference as manual steps. CI linkage references are preserved as Custom Object relationships to the migrated Configuration Items.

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.

Startly logo

Startly gotchas

High

No public self-service export API for bulk data extraction

Medium

SLA policies do not export as portable configuration objects

Medium

Project budget and profitability fields require custom field mapping

Low

Knowledge base and service catalog relationships do not survive field-level migration

Intercom logo

Intercom gotchas

High

S3 JSON export omits conversation transcripts

High

Workspace isolation prevents workflow migration

Medium

Fin AI resolution fees compound with automation success

Medium

Two-year conversation history limit on historical export

Low

Private app rate limits share workspace quota

Pair-specific challenges

  • Startly has no public bulk export API

    Startly does not publish a documented self-service bulk export endpoint or public API for data extraction. All migration scoping must account for guided extraction through Startly's implementation team or manual CSV-based exports from grid views. We build a structured extraction checklist with the customer before transformation begins, listing every object, the export format (CSV or API-assisted), and the delivery method. Any delays in Startly providing the export file directly impact the migration timeline. We flag this at scoping and build buffer days into the schedule to absorb reasonable extraction delays.

  • Ongoing conversations cannot be migrated to Intercom

    Intercom's Regional Data Hosting policy states that ongoing conversations cannot be migrated between workspaces and must be manually recreated. If Startly has open tickets at migration time, we flag these in the scoping report and recommend a freeze date (delta date) after which no new Startly conversations are accepted so that the final migration batch covers closed records only. Open tickets are handed off as a CSV with the Startly record details so the customer can recreate them manually in Intercom or accept a gap in the transition window.

  • CMDB relationships do not survive field-to-field migration

    Startly's CMDB stores configuration item relationships (parent-child, dependency, network topology) as internal foreign keys. These relationships are not exported as portable references. We extract CI records and CI relationship records as two separate datasets, migrate each independently into Intercom Custom Objects, and use a reconciliation step to re-link them using a CI Relationship Custom Object. The customer should validate the CI linkage in Intercom's Custom Object relationship graph before going live since Intercom does not have a native CMDB visualization.

  • Intercom API rate limits require throttling on large writes

    Intercom's default API limit is 1,000 requests per minute distributed over 10-second windows (approximately 166 operations per 10 seconds). Private apps may have elevated limits up to 10,000 requests per minute. We implement rate-limit monitoring using the X-RateLimit-Remaining response header, proactive throttling to stay below the limit, and exponential backoff with jitter on HTTP 429 responses. For migrations exceeding 50,000 records, we configure batch concurrency (default 10 workers, max 40) to maximize throughput without triggering limit violations that would stall the migration.

  • ITSM SLA policies have no Intercom native equivalent

    Startly's SLA definitions (first response time, resolution time, business hours per priority tier) are platform-specific configuration objects. Intercom does not have a native SLA management module at all tiers; SLA enforcement requires Inbox Rules or the Service Level Intervals add-on. We extract every SLA schedule as a structured reference document listing hours, thresholds, and priority mappings. The customer manually rebuilds SLAs in Intercom from this reference. SLA breach timestamps from Startly historical tickets are preserved as custom attributes for audit continuity.

Migration approach

Six steps for a successful Startly to Intercom data migration

  1. Scoping and extraction planning

    We audit the Startly instance across all modules in scope (Tickets, Assets, CMDB, Projects, Tasks, Time Entries, KB articles, Service Catalog, Change Requests) and assess record volumes, custom field counts, and SLA configuration complexity. Because Startly has no public self-service export API, we build a guided extraction checklist that specifies the export format (CSV or API-assisted), object-by-object, with a template file for each. We coordinate directly with Startly's implementation team or the customer's Startly admin to ensure complete dataset delivery before transformation begins.

  2. Intercom workspace configuration

    We configure the destination Intercom workspace before data arrives. This includes creating custom fields on the Contact object to match Startly user properties, defining the Custom Objects schema (Asset, Configuration Item, Project, Change Request) with all required attributes and relationship types, configuring the Help Center with collections and article structure matching the Startly KB hierarchy where possible, and deciding whether tickets migrate as Intercom Conversations or Tickets. We also configure default assignment settings to prevent errors when migrating unassigned tickets.

  3. Data extraction and transformation

    We ingest the exported Startly datasets (CSV or implementation-assisted export), validate record completeness against the scoping inventory, and run the transformation pipeline. The transform applies the object mapping logic (Ticket to Conversation/Ticket, User to Contact or Teammate split, Asset to Custom Object, CMDB to Configuration Item, SLA to reference document), resolves foreign key references across objects, and flags any records with missing required fields for customer-side resolution before import.

  4. Sandbox test migration and reconciliation

    We run a full test migration into an Intercom Sandbox or a non-production workspace using representative data volume. The customer reviews record counts, spot-checks 25-50 records across object types against the Startly source, and validates that CMDB relationship linkage, SLA reference data, and KB article hierarchy are correctly reconstructed. We correct mapping errors in this phase and confirm the Intercom workspace configuration before production migration begins.

  5. Production migration in dependency order

    We run production migration in dependency order: Teammates first, then Contacts, then Custom Objects (Asset, Configuration Item, Project, Change Request), then Conversations or Tickets, then Tasks, then Article content, then time entry summary attributes on conversations. CMDB CI relationships are the last phase since they depend on both CI and Asset records being present. Each phase emits a row-count reconciliation report. We pause at delta date, extract any records modified since the initial export, and apply the final delta batch.

  6. Cutover, validation, and rebuild handoff

    We freeze Startly writes during cutover, run the final delta migration, validate record counts against the source inventory, and hand off the workspace to the customer's team. We deliver the SLA reference document, CMDB relationship map, KB article hierarchy export, Service Catalog inventory, and Change Request rebuild guide as written documentation for the customer's Intercom admin to use for manual recreation of these ITSM-specific constructs. We support a five-business-day hypercare window for reconciliation issues raised during the first week of live use.

Platform deep dives

Context on both ends of the pair

Startly logo

Startly

Source

Strengths

  • Flat per-seat pricing ($15/user/month) with no per-module or per-agent gating — all ITSM modules are included by default.
  • 60-day free trial with unlimited users lets IT teams fully evaluate before committing.
  • 10-day standard setup claim with guided migration support from Startly's implementation team.
  • Built-in time tracking integrated with ticketing and project billing without requiring a separate tool.
  • Real-time performance analytics and KPI dashboards configurable per team.

Weaknesses

  • Reporting and dashboard features are widely described as under-developed compared to enterprise ITSM tools.
  • Public API documentation is not readily accessible; migration planning relies on Startly's implementation team rather than self-service export tooling.
  • Small review footprint on G2 and Capterra relative to established competitors makes peer validation difficult.
  • Power users report encountering bugs and errors in complex or heavily customized workflows.
Intercom logo

Intercom

Destination

Strengths

  • Integrated AI agent (Fin) for automated resolution with per-resolution billing that rewards high automation rates.
  • Multi-channel inbox consolidating live chat, email, SMS, WhatsApp, and Phone into a single threaded view.
  • Native help center with articles, collections, and self-service deflection capabilities.
  • Workflow automation for routing, qualification, and proactive outbound messaging across channels.
  • Strong API ecosystem with 10,000 req/min rate limits for private apps enabling high-throughput migration pipelines.

Weaknesses

  • Pricing model compounds with seat count, AI resolution fees, channel costs, and multiple add-ons, making total cost hard to predict.
  • Workspace-level isolation prevents moving workflows or content between environments, requiring manual rebuilds.
  • S3 JSON export deliberately excludes conversation transcripts, necessitating REST API calls for full message history.
  • Outages are reported as frequent enough to be a concern for always-on support operations.
  • Setup complexity means teams often require internal guidance or professional services to configure bots and automation correctly.

Complexity grading

How hard is this migration?

Standard Helpdesk migration. 2 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Startly and Intercom.

  • Object compatibility

    B

    2 of 7 objects need a mapping; the rest are 1:1.

  • 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

    Startly: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Startly to Intercom 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 Startly to Intercom data migrations

Answers to the questions buyers ask most during Startly to Intercom migration scoping. Not seeing yours? Book a call.

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Most Startly to Intercom migrations land between three and five weeks for accounts with under 10,000 tickets, 5,000 contacts, and no complex CMDB history. Migrations with large CMDB datasets (thousands of configuration items and relationships), active SLA configurations requiring a full rebuild reference document, or multiple asset-to-user linkage mappings requiring reconciliation move to seven to ten weeks because of extraction coordination with Startly, Custom Object schema design, and multi-phase validation. The Startly export phase is the primary variable; if Startly's implementation team can deliver complete exports within two weeks, the full migration typically stays in the three-to-five-week range.

Adjacent paths

Related migrations to explore

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