CRM migration
Field-level mapping, validation, and rollback between Talisma and Freshsales. We move data and schema; workflows are rebuilt natively in Freshsales.
Talisma
Source
Freshsales
Destination
Compatibility
6 of 8
objects map 1:1 between Talisma and Freshsales.
Complexity
BStandard
Timeline
4-6 weeks
Overview
Moving from Talisma to Freshsales is a migration from a vendor-coordinated, configuration-dependent platform to a cloud-native CRM with a documented REST API. Talisma has no public API that FlitStack AI can call directly — every extraction begins with a Talisma Data Management Utility export coordinated through the customer's Talisma administrator. We sequence the migration in dependency order: entity data first, then interaction logs, then attachments, resolving the relational links between Cases and Contacts throughout. Freshsales uses a standard Contacts-Accounts-Deals-Activities model, which maps cleanly from Talisma's Contact-Account-Case-Interaction structure, but custom field schema is opaque without a Talisma configuration export. We request the full field list during discovery and flag any unmapped field for customer review before loading. Workflows, automations, and Talisma Chat/Cobrowse session data do not migrate as records; we deliver a written inventory of these for the customer's admin to rebuild in Freshsales.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Talisma object lands in Freshsales, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Talisma
Contact
Freshsales
Contact
1:1Talisma Contact records map directly to Freshsales Contact. Standard fields (name, email, phone, address, title) transfer cleanly. Custom properties on Talisma Contacts require the Talisma administrator to export the field list during discovery — any custom field not submitted during scoping is flagged as unmapped and may be dropped at load time. We use email as the dedupe key for Contact inserts.
Talisma
Account / Organization
Freshsales
Account
1:1Talisma Organization records map to Freshsales Account. The Talisma organization name becomes the Account name, and the domain or website property maps to the Account website field. Account is created before any Contact import so that the Account-Contact relationship is satisfied at the moment of Contact insert.
Talisma
Case / Ticket
Freshsales
Deal
1:1Talisma Case records map to Freshsales Deals. Case status (Open, Pending, Resolved, Closed) maps to Freshsales Deal stage values, and case priority maps to Deal priority. Owner assignment migrates via owner email resolution to Freshsales User records. Cases with parent-child threading map to Freshsales Deal notes or a custom parent_deal_id field depending on the relationship complexity.
Talisma
Case / Ticket
Freshsales
Case
1:1If the destination Freshsales instance includes Service Cloud or the customer uses Freshdesk for support alongside Freshsales CRM, Talisma Cases map to Freshsales Case records. Case type routing from Talisma maps to Freshsales Case Record Type, and SLA timer data migrates as custom fields on the Case object. This mapping is optional and configured based on the customer's Freshsales product tier.
Talisma
Interaction Log
Freshsales
Activity
lossyTalisma interaction logs (email, phone, chat) map to Freshsales Activities. Interaction type taxonomy from Talisma (email_inbound, email_outbound, phone_call, chat_session) maps to Freshsales Activity type values. We preserve the original interaction timestamp as the Activity date and link each Activity to the resolved Contact record via the WhoId field. Chat transcript content migrates as Activity notes or a custom chat_transcript field.
Talisma
Chat and Cobrowse History
Freshsales
Activity Note / Custom Field
1:1Talisma Chat and Cobrowse session data lives in a separate module from standard interaction logs and requires a distinct export query. Session metadata (start time, end time, cobrowse URL, agent ID) maps to Freshsales Activity metadata fields. Transcript text lands as a structured note attached to the Contact or Case record. Cobrowse event flags (session started, page navigated, screen shared) are simplified to a session summary field because Freshsales has no native cobrowse object.
Talisma
Custom Fields / Properties
Freshsales
Custom Fields
lossyTalisma custom fields on Contacts, Accounts, Cases, and custom entities require the Talisma administrator to export the full field list during discovery. We map each Talisma custom property to a Freshsales custom field of the matching type (text, number, date, picklist, checkbox). Fields with Talisma-specific picklist values are translated to Freshsales picklist values, with unmapped values flagged for customer review. Schema mismatch errors at load time are caught in the staging migration before production.
Talisma
User / Staff
Freshsales
User
1:1Talisma user records (agent, supervisor, admin roles) map to Freshsales User accounts. We resolve users by email match. Talisma role assignments (agent, supervisor, admin) do not map 1:1 to Freshsales profile and permission set model, so we apply a default role mapping (Talisma agent to Freshsales Sales Rep, Talisma supervisor to Freshsales Sales Manager, Talisma admin to Freshsales Admin) and flag discrepancies for the customer to review. Inactive Talisma users are provisioned as inactive Freshsales users to preserve historical assignment data.
| Talisma | Freshsales | Compatibility | |
|---|---|---|---|
| Contact | Contact1:1 | Fully supported | |
| Account / Organization | Account1:1 | Fully supported | |
| Case / Ticket | Deal1:1 | Fully supported | |
| Case / Ticket | Case1:1 | Fully supported | |
| Interaction Log | Activitylossy | Fully supported | |
| Chat and Cobrowse History | Activity Note / Custom Field1:1 | Mapping required | |
| Custom Fields / Properties | Custom Fieldslossy | Mapping required | |
| User / Staff | User1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
Talisma gotchas
No public API means every migration is a coordinated extraction
Custom field schema requires Talisma administrator access to inspect
Workflow and automation rules do not migrate as data
Attachment storage format varies by deployment
Chat and Cobrowse session data is separate from interaction logs
Freshsales gotchas
Freddy AI is Pro-tier only despite heavy marketing
Post-migration emails and sequences are disabled
Bot session credits are a one-time 500-session allocation
Phone credits charged per minute with no cap
File storage limits scale with plan tier
Pair-specific challenges
Migration approach
Discovery and Talisma extraction coordination
We request a Talisma configuration export from the customer's Talisma administrator, covering the full field list for Contacts, Accounts, Cases, and any custom entities. We also request a separate export of Chat and Cobrowse session data, which lives in a distinct module from standard interaction logs. The discovery phase produces a written schema map and an extraction plan with record counts per entity. Organizations should budget a minimum two weeks for this phase.
Schema design and Freshsales field provisioning
We map Talisma custom fields to Freshsales custom fields of matching type, provisioning the destination schema in Freshsales before any data import. For Talisma Cases that map to Freshsales Deals, we configure the Deal pipeline with stage values corresponding to Talisma Case statuses. For Talisma Cases mapped to Freshsales Cases (if Service Cloud is in scope), we configure Case Record Types and Status values. We flag any Talisma field that cannot map to a typed Freshsales field for customer review before staging begins.
Staging migration and reconciliation
We run a full migration into the customer's Freshsales environment using production-like data volume. The customer's admin reconciles record counts (Contacts in, Accounts in, Cases in, Activities in), spot-checks 25-50 random records against the Talisma source, and signs off the schema and mapping before production migration begins. Talisma Chat and Cobrowse transcript data is validated separately since it lands in notes and custom fields rather than native activity objects. Mapping corrections happen in staging, not in production.
User provisioning and owner reconciliation
We extract every distinct Talisma user referenced on Contacts, Accounts, Cases, and interaction records and match by email against the Freshsales User table. Any Talisma user without a matching Freshsales User goes to a reconciliation queue. The customer's admin provisions missing users before the production migration resumes. Role mapping (agent, supervisor, admin) is reviewed against Freshsales profiles and permission sets.
Production migration in dependency order
We run production migration in record-dependency order: Accounts (from Talisma Organizations), Contacts (with AccountId resolved), Cases mapped to Deals or Cases (with OwnerId resolved), interaction logs mapped to Activities (with WhoId resolved to Contact), and attachments linked to the parent record. Chat and Cobrowse session data migrates last as structured notes. Each phase emits a row-count reconciliation report before the next phase begins.
Cutover, validation, and automation rebuild handoff
We freeze Talisma writes during cutover and run a final delta migration of any records modified during the migration window. We deliver a written workflow and automation inventory document to the customer's admin team for rebuild in Freshsales Workflow Automator. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Talisma workflows as Freshsales automations inside the migration scope; that is a separate engagement.
Platform deep dives
Talisma
Source
Strengths
Weaknesses
Freshsales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. 2 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Talisma and Freshsales.
Object compatibility
2 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
Talisma: Not publicly documented.
Data volume sensitivity
Talisma exposes a bulk API — large-volume migrations stream efficiently.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
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FAQ
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