Helpdesk

Migrate your Kayako data

Cloud-based help desk platform with AI-driven ticket triage and resolution, built for mid-market teams managing multichannel customer support at scale.

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In its favor

Why people choose Kayako

The signal that keeps Kayako on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

AI-powered ticket resolution that reportedly eliminates 70-80% of repetitive tickets, freeing agents for higher-complexity work

Pricing by resolved tickets rather than seats appeals to teams with high ticket volume but variable staffing

Multichannel support under a single platform covering email, live chat, WhatsApp, and voice without switching tools

Knowledge Base integration allows customers to self-serve before opening tickets, reducing inbound volume

White-glove AI deployment with dedicated implementation engineers, prompt training, and success managers

High per-agent cost at $79/user/month on the Elite tier, with additional $1/AI-resolved-ticket charges making costs unpredictable as volume scales

Search functionality across tickets is described as primitive and insufficient for teams with large conversation histories

Onboarding ramp-up is longer than expected, with some teams reporting weeks before full productivity

Analytics dashboard lacks depth and intuitiveness compared to dedicated BI tools or competitors

Transition confusion between Kayako Classic and the new cloud product creates uncertainty for long-standing customers

Reasons to switch

Why people leave Kayako

The recurring reasons buyers give for replacing Kayako. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Kayako fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

AI summaries and suggested responses trained on the team's own ticket history for consistent toneMultichannel inbox unifying email, live chat, WhatsApp, and voice under one agent interfaceWhite-glove deployment model with dedicated implementation engineers and success managersSelf-learning mode continuously improves AI responses based on resolved ticketsSelf-service Knowledge Base reduces inbound ticket volume when properly maintained

Weaknesses

Per-agent pricing plus $1/AI-resolved-ticket charge creates unpredictable total cost at scaleSearch functionality across conversations is widely described as insufficient for large knowledge basesOnboarding requires significant time investment before the team reaches full productivityLegacy Kayako Classic exists as a separate product, creating confusion for long-standing customersAnalytics and reporting lack the depth and flexibility of dedicated BI or competitive help desk platforms

Where it works

Mid-market support teams (15–50 agents) in SaaS, retail, e-commerce, or financial services industries needing unified multichannel inbox management.Organizations with high inbound ticket volume from email, live chat, WhatsApp, and voice channels that want a single platform without tool switching.Teams whose support workflows involve frequent inter-department handoffs and need smooth ticket assignment and follow-up tracking.Support organizations with active Knowledge Base content that can leverage self-service to reduce inbound ticket volume before escalation.Companies willing to invest in white-glove AI deployment with implementation support and have the patience for a longer onboarding ramp-up.

Where it struggles

Small teams or solo support agents who cannot justify Elite-tier pricing ($79/user/month) and do not need full multichannel voice integration.Organizations requiring deep historical search across large ticket archives, as Kayako's search functionality is described as primitive.Teams needing granular analytics, custom reporting, and BI-level dashboards beyond basic CSAT and agent metrics.Companies with complex multi-product or multi-brand support structures that require separate instance management or advanced SLA hierarchies.Organizations with limited IT resources seeking a self-service implementation without dedicated success managers or implementation engineers.

Pricing tiers

Kayako pricing overview

Kayako shifted to a resolution-based pricing model in 2026: the Kayako One plan charges $1 per ticket successfully resolved by the Kay AI agent, with no per-seat fees and no setup fees. This is a major departure from Kayako's earlier per-agent SaaS tiers. Full platform features (omnichannel inbox, knowledge base, collaboration, automation) are included; AI-handled resolutions accrue the $1 charge while tickets escalated to humans do not incur the AI fee. Contact Kayako directly for any tiered or volume pricing nuances beyond the published Kayako One plan.

Lite

Tier 1 of 6

$15/user/month (billed annually)

What's included

2 shared email inboxesUnlimited tags and email templatesLive chat, Knowledge Base, and WhatsApp integration24×7 chat and email supportCollision alerts and free onboarding assistance

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Pricing is informational. FlitStack AI does not bill on Kayako's schedule — see our quote-based pricing →

What gets migrated

Kayako object support

Object-by-object support for Kayako migrations. Per-pair details surface during scoping.

Conversations

Fully supported

Conversations are Kayako's primary ticket object. Standard fields include status, priority, assignee, channel, timestamps, and message threads. We migrate Conversations 1:1 using the Conversations API endpoint, preserving thread order and internal/external message flags.

Users

Fully supported

Agents and admins with assigned roles and permissions. User records include name, email, status, and team assignment. We map Users directly to the destination system, handling active/inactive status filtering based on migration scope.

Organizations

Fully supported

Organization records link multiple Users and Conversations under a single company entity. Contains standard fields like name, domain, and custom properties. We preserve the organization-to-user linkage during migration.

Custom Fields

Mapping required

Custom fields exist on Conversations, Users, and Organizations. Each custom field has a unique API field key required for API writes. We discover all custom field keys during scoping and map them to destination properties, handling type differences (dropdown vs. text vs. date) at migration time.

Knowledge Base Articles

Fully supported

KB articles contain article content, category assignments, status, and view counts. Articles are migratable via the API, but article attachments may require separate handling. We export articles and their metadata, flagging any content that exceeds character limits at the destination.

KB Categories

Fully supported

Articles are organized into hierarchical categories. We preserve the category structure and reparent articles at the destination, handling naming conflicts if the destination already has categories with the same names.

Tags

Fully supported

Tags are applied to Conversations for labeling and filtering. We migrate tags as label strings, mapping them to the destination's tagging model (whether that is tags, labels, or a multi-select property).

Attachments

Mapping required

Conversations can contain file attachments in messages. The API supports file upload and retrieval, but attachment export requires separate API calls per conversation and may have size restrictions. We handle attachments in a secondary pass after primary data migration, with customer sign-off on storage implications.

Automations

Not in this platform

Automation rules (triggers, conditions, actions) are configuration objects that do not export cleanly via API. The rule logic is not portable between platforms in a structured way. We document automation configurations for manual rebuild at the destination and do not attempt to migrate rule definitions automatically.

Reports and Metrics

Not in this platform

Saved reports, CSAT scores, and analytics metrics are computed aggregates, not raw data records. We migrate the underlying data (Conversations, survey responses) so reports can be rebuilt, but the saved report definitions themselves are not migratable.

Slack and Channel Integrations

Not in this platform

External integrations with Slack, WhatsApp, voice channels, and third-party tools are configuration objects with OAuth tokens and webhook URLs tied to the source instance. These must be reconfigured manually at the destination with fresh authentication.

SLA Policies

Mapping required

SLA definitions (response time, resolution time, business hours) are configuration objects. We capture SLA metadata and map it to the destination's SLA model, as each platform defines SLA tiers differently. Some manual adjustment is expected post-migration.

Gotchas

What to watch for in Kayako migrations

Issues we've hit on past Kayako migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

AI-per-resolution billing can multiply costs silently

Medium

Custom fields require API field keys, not field names

Medium

Kayako Classic and new Kayako use different export mechanisms

Medium

Outbound migration support is limited to export

Low

API rate limits are not publicly documented

How a Kayako migration works

Four steps, Kayako-specific

Connect

API key into Kayako. Scopes limited to read-only on the data we move.

Map

We translate Kayako-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Kayako quirks before production.

Migrate

Full migration with Kayako rate-limit handling. Rollback available throughout.

FAQ

Kayako migration FAQ

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

Can't find your answer?

Walk through your Kayako migration with a real engineer — 30 minutes, free, written quote within 24 hours.

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Most Kayako migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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