Helpdesk migration

Migrate from Siit to Gorgias

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

Siit logo

Siit

Source

Gorgias

Destination

Gorgias logo

Compatibility

83%

10 of 12

objects map 1:1 between Siit and Gorgias.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Migrating from Siit to Gorgias is a cross-domain move: Siit is an ITSM platform designed for internal IT, HR, Finance, and Facilities request management inside Slack and Microsoft Teams, while Gorgias is an ecommerce customer support platform built for Shopify stores with order-aware automation. The primary migration maps Siit Requests to Gorgias Tickets and Siit People to Gorgias Customers, preserving conversation threads via API export (CSV exports omit message bodies). Siit custom form inputs migrate as a JSON blob on each ticket because they lack a fixed schema. Services catalog items, Equipment records, and Applications inventory have no Gorgias equivalent and are documented for the customer's admin to handle separately. Siit Workflows do not migrate as code. The billing model shift from Siit's per-Admin model to Gorgias's per-ticket model means provisioning strategy matters: employees who only submitted requests should not consume Gorgias agent seats, and monthly ticket volume projections should be validated against Gorgias's pricing tiers before 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

Siit logo

Siit

What's pushing teams away

  • Teams accustomed to traditional ticket portals find the conversational AI-first workflow disorienting and resist the shift in how they submit requests.
  • Smaller enterprise customer base means fewer published case studies and reference architectures for complex ITSM environments.
  • Physical asset management capabilities are limited compared to purpose-built CMMS tools, causing facilities-heavy teams to look elsewhere.
  • Implementation timelines of days to weeks still require workflow design effort that smaller teams underestimate.
  • Lack of a freemium tier or permanent free plan forces a commitment decision before fully validating fit.

Choosing

Gorgias logo

Gorgias

What's pulling them in

  • Shopify-native integrations pull order details, shipment status, and return data directly into the ticket view, eliminating the need for agents to switch between apps.
  • Unlimited user seats mean growing support teams do not trigger billing changes; pricing scales only on billable ticket volume.
  • AI Agent automates responses to high-volume queries like order status and returns, measurably reducing the number of billable tickets each month.
  • Omnichannel inbox consolidates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.
  • SOC 2 Type II certification and GDPR-aligned data handling satisfy enterprise procurement requirements for customer support platforms.

Object mapping

How Siit objects map to Gorgias

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

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

Siit

Requests

maps to

Gorgias

Ticket

1:1
Fully supported

Siit Requests map to Gorgias Tickets. The request title becomes the ticket subject, description becomes the first ticket message, and submitted_from channel metadata (slack, ms_teams, mail, employee_portal) is preserved as a custom ticket field. Status (open, pending, resolved, closed) maps to Gorgias Ticket status. Priority maps to a custom priority field. We extract all unique Siit custom_form_inputs per request type during scoping and serialize them as a JSON object attached to the ticket in a custom field siit_custom_form_data__c because Siit custom form inputs have no stable schema across organizations.

Siit

People

maps to

Gorgias

Customer

1:1
Fully supported

Siit People records (employee directory: department, team, office location, legal entity, employment type, lifecycle stage) map to Gorgias Customers. We map name and email directly. Department, team, and employment_type migrate as custom Customer fields. Siit People with a target_uid (submitted on behalf of another person) map to a secondary field rather than the primary customer to preserve the requester's identity. Non-Admin People who only submitted requests do not consume Gorgias agent seats, which avoids a month-one billing surprise.

Siit

Communication

maps to

Gorgias

Ticket Message

1:1
Fully supported

Siit Communication exports include outbound messages and satisfaction survey responses linked to Requests. We migrate conversation threads as Ticket Messages via the Gorgias API. Siit messages from Admins map to agent messages in Gorgias; messages from the request submitter map to customer messages. If the Communication export includes first_replied_at and first_completed_at SLA timestamps, we preserve them in custom ticket fields. CSV exports from Siit's Reporting section omit message bodies—API access is required to preserve the full thread.

Siit

Tags

maps to

Gorgias

Tag

1:1
Fully supported

Siit Tags associated with Requests via tag_uids arrays map to Gorgias Tags on Tickets. The tagging taxonomy (how teams categorize requests: issue_type, severity, department, source) migrates as-is. We flag any tags that reference Siit-specific concepts (workflow_id, inbox_id) for the admin to reassign post-migration.

Siit

Inboxes

maps to

Gorgias

Inbox

lossy
Mapping required

Siit Inboxes route requests to specific teams or queues. Gorgias has its own Inbox concept (per-channel or unified). We map Siit Inbox assignments to Gorgias Inbox or team-based routing Rules. If the destination Gorgias account uses a single unified Inbox, we document the Siit inbox structure for manual routing configuration. Siit inbox-based routing logic (which requires human decision-making) does not automatically transfer to Gorgias Rules.

Siit

SLA Data

maps to

Gorgias

Ticket SLA (custom fields)

1:1
Fully supported

Request records in Siit include first_replied_at and first_completed_at timestamps. SLA timers and escalation configurations export as part of request metadata. We preserve the SLA timestamps in custom ticket fields (siit_sla_first_replied__c, siit_sla_first_completed__c) for compliance reporting. Gorgias has SLA management on Enterprise plans—if the destination plan does not include SLA management, the original SLA data is preserved as metadata only without automated enforcement.

Siit

Services

maps to

Gorgias

None (documented only)

1:1
Fully supported

Siit Services catalog items (IT service offerings with configuration metadata and category assignments) have no direct Gorgias equivalent. Gorgias does not have a services catalog or request catalog. We export the full services catalog as a structured document (service name, description, category, associated workflows) and deliver it to the customer's admin for use in a knowledge base article set or separate service portal if needed. This is not an automated migration; it is a documentation deliverable.

Siit

Applications

maps to

Gorgias

None (documented only)

1:1
Fully supported

Siit Application inventory tracks software assets with ownership, lifecycle status, and category metadata. Gorgias does not have an asset management or CMDB module. We export application inventory as a CSV (app name, owner, lifecycle_status, assigned employee, category) and deliver it to the customer as a reference document. If the customer needs ongoing asset tracking, a dedicated CMDB tool (ServiceNow CMDB, Snipe-IT, or similar) should replace this function separately from the Gorgias migration.

Siit

Equipment

maps to

Gorgias

None (documented only)

1:1
Fully supported

Siit Equipment records represent physical and virtual devices with lifecycle attributes, ownership, and configuration fields. Gorgias does not support equipment or device records. We export equipment inventory as a CSV (device name, type, owner, location, lifecycle_stage, assignment) and deliver it to the customer as a reference document. Facilities-heavy teams relying on Siit for device lifecycle management should evaluate a dedicated CMMS or asset management tool post-migration.

Siit

Users (Admins)

maps to

Gorgias

Agent

1:1
Mapping required

Siit Admins (the billable resolver seat type) map to Gorgias Agents. We resolve by email match. Siit Admins with billing_settings_access (view-only on subscription) do not get a Gorgias Agent seat—only users who actively resolve tickets are provisioned as agents. Siit non-Admin employees (request submitters) map to Gorgias Customers or remain unmigrated depending on whether the customer wants historical requester records inside Gorgias.

Siit

Workflows

maps to

Gorgias

None (documented only)

1:1
Fully supported

Siit Workflows (trigger conditions, approval chains, automated actions in the low-code builder) do not migrate to Gorgias. Gorgias Macros and Rules are structurally different from Siit Workflows and do not accept direct import. We deliver a written inventory of every active Siit Workflow with its title, trigger, conditions, actions, and state (Live, Paused, Draft) plus a recommended Gorgias equivalent (Macro, Rule, or Rule set) for each. The admin rebuilds these manually post-migration.

Siit

Custom Form Inputs

maps to

Gorgias

Ticket (custom field JSON)

lossy
Mapping required

Siit custom_form_inputs are arbitrary label/value pairs per request with no fixed schema. We extract all unique labels during the migration scan and map them to a custom Gorgias ticket field siit_custom_form_data__c stored as structured JSON: {label: value, label: value}. If the customer requests per-field mapping instead of JSON serialization, we create individual custom Ticket fields for the top-20 most common labels and serialize the remainder. This requires the customer to have custom field creation permissions in Gorgias.

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.

Siit logo

Siit gotchas

High

Admin-based pricing is migration-critical for billing accuracy

High

Workflow state and logic do not transfer automatically

Medium

Open API requires scoping permission before migration access

Medium

Custom form inputs have no stable schema across requests

Low

Billing ownership is restricted to the account owner

Gorgias logo

Gorgias gotchas

High

AI Agent adds outcome-based fees on top of billable ticket costs

High

Overage billing for tickets scales nonlinearly

Medium

API rate limits restrict bulk export throughput

Medium

Agent data visibility cannot be restricted by role for GDPR use cases

Low

Knowledge Base translations require separate API calls per locale

Pair-specific challenges

  • CSV exports omit message bodies—API access required for full thread migration

    Siit CSV exports from the Reporting section cover request metadata (title, status, priority, assignee, timestamps, SLA data) but do not include the actual message content from Communication threads. Migrating conversation history requires Siit API access (Standard plan and above). If the Siit API is unavailable at the customer's tier or rate limits prevent bulk extraction, we fall back to CSV exports and flag the message history gap in the migration report. Customers should confirm API access before scoping if thread history is a hard requirement.

  • Siit Workflows and approval chains have no Gorgias equivalent

    Siit Workflows include trigger conditions, multi-step approval chains, and automated provisioning actions that are specific to the ITSM context. Gorgias Rules and Macros handle routing, auto-tagging, and canned responses, but they do not support multi-approval workflows, conditional provisioning, or cross-system automation. We document every active Siit Workflow with its logic and recommend Gorgias alternatives, but the rebuild is manual. Teams expecting automation parity will be disappointed—this gap is structural, not a migration tooling limitation.

  • Gorgias ticket-based pricing inverts Siit's Admin-based model

    Siit charges per Admin resolver seat regardless of monthly request volume. Gorgias charges per ticket that receives a response, with overage fees at peak. Teams migrating from Siit often underestimate that Gorgias overage costs scale with support volume, not agent count. We validate the customer's monthly request volume against Gorgias tier ticket inclusions (Starter 50, Basic 300, Pro 2,000) during scoping and flag if projected volumes will exceed the selected tier. Employees who only submitted requests in Siit should not be provisioned as Gorgias agents to avoid inflating the seat count under a hypothetical per-seat model (Gorgias has unlimited agent seats on paid plans, but billing is volume-based, not seat-based).

  • Siit custom form inputs lack a stable schema across request types

    Siit custom_form_inputs vary per organization and per request type, meaning the set of custom fields is not fixed. We extract all unique labels during the migration scan, but mapping each label to an individual Gorgias custom field requires schema review and customer approval. As a default, we serialize custom form data as a JSON blob on each ticket. If per-field mapping is required, we scope the top-20 most common labels and serialize the remainder. This decision affects both migration pricing and the usability of migrated records in Gorgias.

  • Services, Equipment, and Applications catalogs cannot migrate to Gorgias

    Gorgias has no services catalog, asset management, CMDB, or equipment inventory module. Siit teams relying on the services catalog for IT request categorization and Equipment records for device lifecycle tracking will find no equivalent in Gorgias. We export these records as reference CSVs and deliver them as documentation, but they are not migrated as working records inside Gorgias. Teams needing ongoing asset tracking or ITSM service catalogs should plan a separate tool (ServiceNow, Snipe-IT, or a CMDB) post-migration.

Migration approach

Six steps for a successful Siit to Gorgias data migration

  1. Discovery and API access validation

    We audit the source Siit account for request volume, People record count, active Workflow count and state, Communication thread density (messages per request on average), custom_form_inputs schema (all unique labels extracted), and Services catalog size. We also validate API access: if the Standard plan API is unavailable or rate limits are too restrictive for bulk extraction, we fall back to CSV exports and flag the message history gap. We pair this with a Gorgias tier recommendation based on projected monthly ticket volume and confirm that the customer has custom field creation permissions.

  2. Object mapping design and sandbox provisioning

    We design the mapping for every migratable object: Requests to Tickets, People to Customers, Communication to Ticket Messages, Tags to Tags, SLA timestamps to custom fields, Admins to Agents, and custom_form_inputs to a JSON field or per-field custom mappings. We provision a Gorgias trial or sandbox account to validate the mapping before touching production data. We document the Services, Equipment, and Applications exports as reference CSVs and the Workflow inventory as a rebuild handoff document. The mapping design document is reviewed and signed off by the customer before any data extraction begins.

  3. Sandbox migration and reconciliation

    We run a full migration into the Gorgias sandbox using production-like data volumes. The customer's admin reconciles record counts (Tickets in, Customers in, Messages in), spot-checks 20-30 random tickets against Siit source records, validates tag taxonomy preservation, and confirms that serialized custom form data is readable. Any mapping corrections happen in sandbox, not production. This phase also validates API pagination limits and any rate-limit responses that require batch-size tuning.

  4. Admin and agent provisioning

    We provision Gorgias Agents by email-matching Siit Admins who actively resolve tickets. Siit Admins with view-only billing access are not provisioned as agents. Siit non-Admin People who only submitted requests are mapped to Customers if the customer wants historical requester records; otherwise they remain unmigrated. We validate that the customer understands Gorgias ticket-based billing before this step to avoid a month-one pricing surprise. The admin reviews agent permissions and Inbox assignments before production migration.

  5. Production migration with delta window

    We run production migration in dependency order: Customers first (for lookup resolution on Tickets), then Tickets with custom_form_inputs serialized, then Ticket Messages via API (with batch chunking and exponential backoff on rate limits), then Tags, SLA timestamps, and agent assignments. SLA timestamps from Siit's first_replied_at and first_completed_at are preserved as custom fields. We run a delta migration window for any requests created or modified during the migration, then freeze Siit writes. Services, Equipment, and Applications CSVs are delivered as reference exports, not migrated records.

  6. Cutover, validation, and automation rebuild handoff

    We enable Gorgias as the system of record after the delta window closes. We deliver the Workflow inventory document (every Siit Workflow with trigger, conditions, actions, and Gorgias equivalent recommendation) to the customer's admin for manual rebuild. We deliver the Services catalog and Equipment exports as CSVs. We support a five-business-day hypercare window for reconciliation issues (missing threads, tag gaps, custom field content review). We do not rebuild Siit Workflows as Gorgias Rules, configure macros, or train agents on Gorgias—inventory and rebuild handoff only.

Platform deep dives

Context on both ends of the pair

Siit logo

Siit

Source

Strengths

  • Slack and Microsoft Teams-native request intake with conversational AI triage reduces employee friction to near zero.
  • Admin-based pricing means unlimited employee headcount with predictable monthly costs tied only to resolver count.
  • SOC 2 Type II and GDPR compliant with role-based access controls out of the box.
  • 100+ native integrations including Jira Service Management, ServiceNow, Okta, Jamf, and BambooHR with bi-directional sync.
  • Days-to-weeks implementation with pre-built workflows avoids the 5+ month professional services engagements common in legacy ITSM.

Weaknesses

  • AI-first workflow paradigm requires significant team adjustment compared to traditional portal-based ticketing.
  • Smaller enterprise customer base and fewer published long-term case studies than ServiceNow or Jira Service Management.
  • Physical asset and equipment lifecycle management is less mature than purpose-built CMMS platforms.
  • No freemium or permanent free tier limits risk-free evaluation for small teams or startups.
  • The platform's maturity is relatively recent compared to established ITSM vendors, meaning fewer community resources and third-party consultants.
Gorgias logo

Gorgias

Destination

Strengths

  • Shopify and BigCommerce integrations surface order, return, and shipment data natively inside every ticket.
  • Unlimited agent seats remove per-user licensing friction as support teams grow.
  • AI Agent reduces billable ticket volume through automated resolution of high-frequency queries.
  • SOC 2 Type II certified with GDPR-aligned data handling for enterprise procurement readiness.
  • Omnichannel inbox aggregates email, live chat, Facebook, Instagram, WhatsApp, SMS, and voice into a single threaded view.

Weaknesses

  • Ticket-volume pricing with overage fees creates unpredictable monthly costs during seasonal traffic spikes.
  • Custom reporting is shallow; raw event-level data export for BI tooling is not natively supported.
  • Knowledge Base, Macros, and Rules lack simple export tooling, making competitive migrations complex.
  • GDPR compliance limitations mean customer data cannot be hidden from agents by role, blocking use by teams with freelance staff.
  • Performance and glitch reports emerge in G2 reviews at higher ticket volumes.

Complexity grading

How hard is this migration?

Moderate Helpdesk migration. 3 of 7 objects need a mapping; the rest are 1:1.

C

Overall complexity

Moderate migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Siit and Gorgias.

  • Object compatibility

    C

    3 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

    Siit: Not publicly documented; varies by plan tier.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Siit to Gorgias migration cost

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

Step 1

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Pick a category, then your source and destination platforms.

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FAQ

Frequently asked questions about Siit to Gorgias data migrations

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

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Small migrations under 5,000 Requests and 500 People records complete in two to four weeks. Migrations with high message-per-ticket density, Services catalog exports, or Equipment record inventories extend to six to ten weeks because API pagination testing, Communication thread extraction, and multi-object serialization add scope. The biggest variable is whether Siit API access is available for full message history—if only CSV exports are available, thread migration is skipped and timelines are shorter.

Adjacent paths

Related migrations to explore

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