Migrate your Certainly data
AI-powered conversational platform for enterprise customer service automation, formerly known as BotXO. Geared toward mid-to-large companies wanting to deploy chatbot workflows across Zendesk and similar helpdesk stacks.
In its favor
Why people choose Certainly
The signal that keeps Certainly on the shortlist. Sourced from G2, Capterra, and customer scoping calls.
Integration with Zendesk works without developer resources — one review notes successful Zendesk connect with no programmer involvement required
Customer service responsiveness earns consistent praise across verified reviews, with a 4.6/5 customer service rating on Capterra
Setup and bot management are described as straightforward, with users highlighting the simplicity of building and managing chatbot flows
Enterprise-grade NLU capabilities attract larger organizations that need structured conversational automation at scale
Multi-channel deployment across chat, messaging, and social channels makes it suitable for complex customer service operations
Starting price around $2,000/month places it out of reach for small teams and startups with limited budgets
Enterprise-focused positioning means longer implementation cycles and higher onboarding demands compared to self-serve alternatives
Some users report that while not completely painless, implementation still required handholding from the BotXO service team during setup
Limited public documentation on API capabilities makes technical evaluation difficult before committing to a contract
Reasons to switch
Why people leave Certainly
The recurring reasons buyers give for replacing Certainly. Presented as facts, not knocks.
Platform scorecard
Strengths, weaknesses, and where Certainly 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
Weaknesses
Where it works
Where it struggles
Pricing tiers
Certainly pricing overview
Certainly targets enterprise buyers with pricing reportedly starting around $2,000 per month. Official tier-specific pricing is not publicly published; sales consultation is required for Pro and Enterprise plans, making cost comparison difficult without direct engagement.
Standard
Tier 1 of 3
~ $2,000/month (reported starting point)
What's included
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What gets migrated
Certainly object support
Object-by-object support for Certainly migrations. Per-pair details surface during scoping.
Conversational Flows
Mapping requiredFlows define the dialogue tree and decision branches. We map them to the destination's equivalent conversation-builder structure, flagging conditional branches that may not transfer 1:1.
Intents
Mapping requiredIntents are trained NLU classifications. We export intent names and training utterances but note that model accuracy degrades without retraining in the destination platform.
Entities
Mapping requiredCustom entities and slot types require field-level mapping. We preserve entity names and value lists and flag any regex or pattern-based entities needing manual recreation.
Responses and Templates
Fully supportedStatic response texts and rich message templates export cleanly as structured data. We map them to the destination's message library with minimal transformation.
Zendesk Integrations
Mapping requiredThe Zendesk connector configuration, including ticket creation rules and ticket-field mappings, needs to be rebuilt in the destination. We document the existing mapping logic for reference.
Conversation Logs
Mapping requiredHistorical chat transcripts are available as exports but require careful mapping to the destination's log schema. We preserve metadata like timestamps, agent IDs, and resolution status.
Analytics and Reporting Data
Mapping requiredBot performance metrics, intent accuracy scores, and conversation summaries can be exported as flat files. We archive these separately since most destination platforms do not ingest analytics data natively.
User and Agent Assignments
Mapping requiredAgent IDs and team assignments in routing rules must be mapped to corresponding users in the destination system. We flag any role-based access control structures that may not translate.
| Object | Support | Notes |
|---|---|---|
| Conversational Flows | Mapping required | Flows define the dialogue tree and decision branches. We map them to the destination's equivalent conversation-builder structure, flagging conditional branches that may not transfer 1:1. |
| Intents | Mapping required | Intents are trained NLU classifications. We export intent names and training utterances but note that model accuracy degrades without retraining in the destination platform. |
| Entities | Mapping required | Custom entities and slot types require field-level mapping. We preserve entity names and value lists and flag any regex or pattern-based entities needing manual recreation. |
| Responses and Templates | Fully supported | Static response texts and rich message templates export cleanly as structured data. We map them to the destination's message library with minimal transformation. |
| Zendesk Integrations | Mapping required | The Zendesk connector configuration, including ticket creation rules and ticket-field mappings, needs to be rebuilt in the destination. We document the existing mapping logic for reference. |
| Conversation Logs | Mapping required | Historical chat transcripts are available as exports but require careful mapping to the destination's log schema. We preserve metadata like timestamps, agent IDs, and resolution status. |
| Analytics and Reporting Data | Mapping required | Bot performance metrics, intent accuracy scores, and conversation summaries can be exported as flat files. We archive these separately since most destination platforms do not ingest analytics data natively. |
| User and Agent Assignments | Mapping required | Agent IDs and team assignments in routing rules must be mapped to corresponding users in the destination system. We flag any role-based access control structures that may not translate. |
Gotchas
What to watch for in Certainly migrations
Issues we've hit on past Certainly migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.
Zendesk integration settings do not export automatically
Intent training data loses accuracy without NLU retraining
Conversation logs require schema mapping effort
| Severity | Issue |
|---|---|
| Medium | Zendesk integration settings do not export automatically |
| High | Intent training data loses accuracy without NLU retraining |
| Low | Conversation logs require schema mapping effort |
Leaving Certainly?
Where Certainly customers move next
7 destinations Certainly can migrate to.
How a Certainly migration works
Four steps, Certainly-specific
Connect
Not publicly documented — enterprise API access requires contacting sales into Certainly. Scopes limited to read-only on the data we move.
Map
We translate Certainly-specific structures (custom fields, objects, value lists) to the destination's model.
Sample
Test with a 50–200 record subset to validate Certainly quirks before production.
Migrate
Full migration with Certainly rate-limit handling. Rollback available throughout.
FAQ
Certainly migration FAQ
Answers to the questions buyers ask most during Certainly migration scoping. Not seeing yours? Book a call.
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Migrate Certainly.
Without the rebuild.
Free scoping call with a migration engineer. Tell us about your Certainly setup and destination — written quote back within a business day.