Helpdesk migration

Migrate from Rezolve.ai to Intercom

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

Rezolve.ai logo

Rezolve.ai

Source

Intercom

Destination

Intercom logo

Compatibility

75%

9 of 12

objects map 1:1 between Rezolve.ai and Intercom.

Complexity

CModerate

Timeline

2-4 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Rezolve.ai and Intercom serve different support contexts, which makes this migration a structural remodel rather than a record copy. Rezolve.ai is an internal IT and HR service desk embedded in Microsoft Teams, where every ticket lives as a conversation inside a Teams channel. Intercom is a customer-facing and product-led support platform with a conversation-first interface, a separate Help Center, and Fin AI for automated resolution. The core challenge is extracting ticket and conversation data from Rezolve.ai's limited public API, mapping Teams-native threads to Intercom Conversations, preserving knowledge article content while rebuilding AI resolution triggers in Intercom's Help Center, and routing the user and agent population into Intercom's Contact and teammate model. Rezolve.ai Skills and Workflows do not export in a transferable format; we document the business intent of every automation for manual rebuild in Intercom's Workflow builder. SLA configurations, escalation rules, and custom ticket fields migrate as Intercom configuration items.

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

Rezolve.ai logo

Rezolve.ai

What's pushing teams away

  • Limited public API documentation makes deep integrations and automated migrations harder, pushing technical teams toward platforms with richer developer ecosystems.
  • Pricing opacity requires sales conversations to get accurate quotes, which frustrates procurement teams comparing multiple ITSM alternatives quickly.
  • Teams-only primary interface may limit adoption in organizations where employees work primarily in Slack, Zoom, or browser-based portals.
  • AI resolution quality depends on knowledge base maturity, so teams with poorly maintained KBs see lower auto-resolution rates than marketed benchmarks.
  • Smaller market presence compared to ServiceNow or Freshservice means fewer third-party integrations and community resources available.

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 Rezolve.ai objects map to Intercom

Each row shows how a Rezolve.ai 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.

Rezolve.ai

Ticket

maps to

Intercom

Conversation + Ticket

1:1
Fully supported

Rezolve.ai Tickets map to Intercom Conversations with a Ticket attribute. The ticket subject becomes the Conversation title, status maps to Open/Closed/Snoozed, priority maps to Intercom Ticket priority values, and the assignee resolves to an Intercom teammate via email match. Conversation threads from Rezolve.ai migrate as message records attached to the Intercom Conversation, preserving author identity and timestamp ordering. AI resolution flags (auto-resolved, escalated) do not have Intercom equivalents and are recorded as Conversation part notes.

Rezolve.ai

Conversations

maps to

Intercom

Conversation Parts

1:1
Mapping required

Individual message records within a Rezolve.ai Ticket Conversation map to Intercom Conversation Parts. Each part preserves the author (employee or agent), message body, timestamp, and attachment references. Teams-specific formatting (mentions, reactions, channel references) is stripped during extraction and documented in the pre-migration audit. The conversation start time maps to Intercom's created_at timestamp on the Conversation.

Rezolve.ai

Knowledge Articles

maps to

Intercom

Help Center Articles

1:1
Mapping required

Rezolve.ai Knowledge Articles migrate to Intercom Help Center Articles within Collections. Article titles, body content, categories, and publication status transfer directly. AI resolution metadata (confidence thresholds, linked Skills, auto-resolution rules) does not have Intercom equivalents and is documented as a rebuild requirement for Fin AI. We preserve any attachments as linked files within the article.

Rezolve.ai

User

maps to

Intercom

Contact

1:1
Fully supported

Rezolve.ai employee User records migrate to Intercom Contacts. Email, display name, department, manager, and location map to the corresponding Intercom Contact fields. Role assignment (end user vs agent) determines whether the record is created as a Contact or a Teammate in Intercom. External ID from Rezolve.ai is stored as a custom attribute for reconciliation tracking.

Rezolve.ai

Agent

maps to

Intercom

Teammate

1:1
Fully supported

Rezolve.ai Agent records migrate to Intercom Teammates. Agent profile information, team membership, and workload metrics map to Intercom Teammate attributes. SLA assignments and escalation rules are extracted during scoping and documented as Intercom Inbox assignment rules and SLA policies requiring configuration. Agent workload data does not transfer as a native Intercom object and is provided as a configuration reference.

Rezolve.ai

Team

maps to

Intercom

Inbox + Team

1:1
Fully supported

Rezolve.ai Teams represent routing groups and service desk squads, mapping to Intercom Inboxes. Team membership transfers as Intercom Team membership, and routing rules map to Intercom assignment conditions. We extract the full team structure and member assignments during scoping and configure the corresponding Inbox and Team setup in Intercom's workspace before record migration begins.

Rezolve.ai

Skills

maps to

Intercom

Workflows (rebuild)

1:1
Mapping required

Rezolve.ai Skills (Knowledge Skills and Task Skills) are AI-powered automation units tied to the platform's LLM infrastructure with no exportable format. We extract the business intent, trigger conditions, linked knowledge articles, and resolution actions of each Skill during scoping and produce a written inventory document mapping each Skill to an Intercom Workflow or Fin AI article set. The customer's admin rebuilds these as Intercom Workflow rules or Fin AI article configurations post-migration.

Rezolve.ai

Workflows

maps to

Intercom

Workflows (rebuild)

1:1
Mapping required

Rezolve.ai Workflows are automation sequences built on proprietary AI logic that do not export in standard formats. We document every workflow trigger, condition, action sequence, and linked Skill during the pre-migration audit. Each workflow maps to an Intercom Workflow rule with equivalent conditions and actions. Rebuild is performed by the customer's admin or an Intercom partner using Intercom's Workflow builder. This documentation step is included in the migration scope but the rebuild itself is not.

Rezolve.ai

Custom Fields

maps to

Intercom

Custom Attributes

lossy
Mapping required

Rezolve.ai custom fields on Tickets and other objects migrate as Intercom Custom Attributes. We map field data types (text, number, date, dropdown) to Intercom attribute types (text, number, date, string) and preserve values during ticket migration. Any custom fields dependent on Rezolve.ai-specific picklist values or formulas are flagged in the scoping document for manual reconfiguration in Intercom.

Rezolve.ai

Attachments

maps to

Intercom

Attachments

1:1
Fully supported

File attachments on Rezolve.ai tickets, knowledge articles, and conversation messages migrate as Intercom attachments linked to the corresponding Conversation Parts or Help Center articles. File names, MIME types, and binary content transfer directly. Storage location references are updated to point to Intercom's attachment storage. Large attachments over 10 MB are chunked during extraction and reassembled in Intercom.

Rezolve.ai

Reports

maps to

Intercom

Reports (rebuild)

lossy
Mapping required

Rezolve.ai built-in reporting dashboards (resolution rates, ticket volumes, CSAT scores, SLA compliance) are documented during scoping with their underlying data queries and filter configurations. These reports are not transferable to Intercom's reporting model. We deliver a written report inventory mapping each Rezolve.ai report to the equivalent Intercom Inbox and Conversation analytics, with configuration steps for the customer's admin. Complex SLA compliance reports may require an Intercom analytics partner or custom BI integration.

Rezolve.ai

Settings

maps to

Intercom

Workspace Settings

lossy
Mapping required

Tenant-level settings from Rezolve.ai — branding, notification rules, SLA policies, escalation tiers, and auto-assignment conditions — are extracted and mapped to Intercom workspace configuration equivalents. SLA thresholds map to Intercom Service Level Agreements attached to Inboxes. Escalation rules map to Intercom Workflow conditions with time-based triggers. This configuration transfer is performed collaboratively with the customer's Intercom admin during the setup phase before record migration.

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.

Rezolve.ai logo

Rezolve.ai gotchas

High

Workflows require manual reconstruction on destination

Medium

AI Skills map to workflows, not to a transferable object

High

Public API only covers configuration, not ticket data

Medium

Knowledge base AI tagging does not migrate directly

Low

Teams is the primary UI and data container

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

  • Rezolve.ai has no public ticket data export API

    The Rezolve.ai Config API exposes platform administration functions but does not provide a public endpoint for exporting ticket records, conversation history, or knowledge article content. We use a combination of admin panel exports, direct database queries where accessible, and UI-based extraction for complete data retrieval. This requires read-only admin credentials on Rezolve.ai and coordination with their team for large-volume exports exceeding 10,000 records. Timeline extends by one to two weeks if Rezolve.ai must provide a custom export package.

  • Skills and Workflows require manual reconstruction in Intercom

    Rezolve.ai Skills (Knowledge Skills, Task Skills) and Workflows are built on proprietary AI logic and do not export in standard formats. Intercom's Workflows use rules-based triggers and Fin AI uses Help Center article associations, which are structurally different from Rezolve.ai's AI resolution model. We cannot perform a direct automation import. We deliver a written inventory of every Skill and Workflow with its trigger, conditions, linked content, and business intent, mapped to Intercom equivalents. The customer's admin or an Intercom partner rebuilds these in Intercom's Workflow builder post-migration.

  • Knowledge base AI metadata does not migrate

    Rezolve.ai knowledge articles include AI-resolution metadata — confidence thresholds, linked Skills, auto-resolution rules, and resolution path associations — that have no Intercom equivalent. We transfer the raw article title, body content, category, and publication status to Intercom Help Center articles. The AI resolution logic is rebuilt in Intercom by configuring Fin AI to reference the migrated articles for automated answers, but the specific threshold and skill-linking behavior requires manual configuration and testing by the customer's admin.

  • Microsoft Teams notification history requires thread reconstruction

    Rezolve.ai conversation threads and ticket notifications are Teams-native, stored within Teams channels and message threads. When extracting conversation history, we pull from Teams export data where available and from Rezolve.ai's admin panel. Some metadata — Teams-specific @mentions, reaction counts, channel thread identifiers, and formatting unique to Teams Message Card payloads — does not transfer to Intercom. We document what metadata is preserved versus what is retained as a reference document for the customer's admin.

  • Intercom Custom Objects require schema pre-creation

    Intercom's Custom Objects feature requires the destination schema to be defined before any data imports, with relationships to both Contacts and Conversations enforced at the API level. If Rezolve.ai used custom objects or extended ticket schemas, those must be pre-configured in Intercom with the appropriate relationship definitions before migration begins. We coordinate this schema pre-creation with the customer's Intercom admin during the setup phase to avoid import blocking due to unresolved lookups.

Migration approach

Six steps for a successful Rezolve.ai to Intercom data migration

  1. Discovery and export method determination

    We audit the Rezolve.ai tenant for ticket volume, conversation history depth, knowledge article count, team structure, user and agent population, custom fields, Skills inventory, and Workflow inventory. We also determine the available export path: admin panel bulk export, Teams export data pull, or direct database access. Rezolve.ai's limited public API means the export method is the critical path item for timeline estimation. The discovery output is a written migration scope, export method decision, and Intercom workspace configuration plan.

  2. Intercom workspace pre-configuration

    Before any record migration, we configure the Intercom workspace: Inboxes mapped from Rezolve.ai Teams, Team memberships, SLA policies mapped from Rezolve.ai escalation rules, Custom Attributes matching Rezolve.ai custom fields, Help Center Collections mapped from Rezolve.ai knowledge categories, and Fin AI article set references for knowledge article connectivity. We also configure Ticket attributes to match Rezolve.ai priority and status values. This phase is performed in an Intercom Development or Trial workspace for validation, then promoted to the production workspace before data migration begins.

  3. Knowledge base extraction and migration

    We extract Rezolve.ai Knowledge Articles with titles, body content, categories, publication status, and attachment references. AI resolution metadata is extracted as a separate lookup table for the Skill inventory document. Articles are imported into Intercom Help Center via the Articles API, mapped to the pre-created Collections. We validate article counts, linked images, and formatting fidelity before moving to ticket migration. Knowledge base migration precedes ticket migration because Fin AI configuration references the Help Center content.

  4. User and agent population migration

    We extract Rezolve.ai Users and Agents, deduplicate by email, and import into Intercom as Contacts (for end users) and Teammates (for agents). Agent-team assignments map to Intercom Team membership during this phase. Any Rezolve.ai users without email addresses are flagged for manual resolution before proceeding. Custom attributes for external IDs and original Rezolve.ai record identifiers are set during import for reconciliation.

  5. Ticket and conversation history migration

    We migrate Rezolve.ai Tickets as Intercom Conversations, resolving the assignee to an Intercom Teammate via email match, mapping status and priority to Intercom values, and attaching conversation thread messages as Conversation Parts. Attachments are uploaded to Intercom and linked to the corresponding Conversation Parts. Large ticket migrations (over 10,000 records) use the Intercom REST API with rate-limit handling and exponential backoff. We run row-count reconciliation after this phase and spot-check 30-50 records against the source before proceeding.

  6. Skill and Workflow inventory delivery

    We deliver the written Skill and Workflow inventory document mapping each Rezolve.ai automation to an Intercom Workflow rule or Fin AI configuration. The document includes trigger conditions, action sequences, linked knowledge articles, and business intent for each automation. This document is the handoff artifact for the customer's admin or Intercom partner to perform the rebuild. We do not perform the Workflow rebuild as part of standard migration scope.

  7. Cutover, delta migration, and validation

    We freeze Rezolve.ai writes during cutover, run a final delta migration of any tickets or conversations created or updated since the initial extraction, then enable Intercom as the system of record. We perform a final row-count reconciliation across all object types and deliver a migration completion report. We support a five-business-day hypercare window to resolve any data quality issues reported by the customer's team. We do not provide ongoing admin support, training, or workflow rebuild as standard scope; these are separate engagements.

Platform deep dives

Context on both ends of the pair

Rezolve.ai logo

Rezolve.ai

Source

Strengths

  • Deep Microsoft Teams integration keeps employees in their primary work tool without switching contexts.
  • Agentic AI approach with Knowledge and Task Skills handles actual task execution, not just FAQ responses.
  • High auto-resolution rates reduce Tier 1 ticket volume and lower support costs.
  • G2-validated ease of setup and customer support reputation reduces implementation friction.
  • Pre-built knowledge on leading SaaS products accelerates time-to-value for common IT scenarios.

Weaknesses

  • Limited public API documentation creates challenges for programmatic access and automated migrations.
  • Teams-first design may not suit organizations using Slack or other primary communication platforms.
  • Smaller market footprint means fewer third-party integrations and community resources than established ITSM platforms.
  • AI resolution effectiveness depends heavily on internal knowledge base quality and maintenance.
  • Pricing requires direct sales engagement, making competitive evaluation and budget planning harder.
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?

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 Rezolve.ai and Intercom.

  • 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

    Rezolve.ai: Not publicly documented.

  • Data volume sensitivity

    B

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

Estimator

Estimate your Rezolve.ai 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 Rezolve.ai to Intercom data migrations

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

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Small migrations under 5,000 tickets, 500 knowledge articles, and a single team structure land between two and four weeks. Mid-market migrations with multiple teams, extensive custom fields, and large conversation histories (over 20,000 message records) extend to six to ten weeks. The primary variable is the export method available from Rezolve.ai and the volume of conversation thread data requiring extraction, which can add one to two weeks if a custom export package is needed from the Rezolve.ai team.

Adjacent paths

Related migrations to explore

Ready when you are

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