Migrate from Vryno CRM to Microsoft Dynamics 365 Sales

Discovery and extraction method validation

We audit the source Vryno instance across tier (Free, Essentials, Professional, Enterprise, Premium), record counts per object, active Custom Modules, pipeline count, and active workflow rules. We also determine whether the instance supports CSV export, validated API access, or a hybrid approach. This output is a written migration scope document and an extraction method recommendation. We also assess the destination Microsoft Dynamics 365 Sales environment, including the selected edition (Team Member, Sales Professional, Sales Enterprise, or Sales Premium) and whether Dataverse custom entities are required for custom module migration.

Custom module schema discovery

For Vryno instances with active Custom Modules, we perform field-level discovery against the source instance. We extract the complete custom field list per module, including field types, picklist values, required flags, and lookup relationships to standard objects. We then map each custom field to an equivalent Dataverse column type (string, integer, decimal, picklist, lookup) or document that the field cannot be directly migrated. This schema discovery step is unique per customer and is the primary driver of migration timeline variance for custom-object-heavy Vryno instances.

Dataverse schema pre-creation and sandbox validation

Before any production data migration, we pre-create the destination schema in Microsoft Dynamics 365 Sales . This includes custom entities in Dataverse (with API names matched to Vryno custom module names), custom fields on standard entities, Record Types and Sales Processes for each migrating pipeline, and stage probability mappings. Schema is deployed to a Microsoft Dynamics 365 Sales Sandbox environment first for validation against the actual migration data volume. Any schema gaps or field type mismatches surface here, not in production.

Sandbox migration and reconciliation

We run a full migration into the Microsoft Dynamics 365 Sales Sandbox using production-like data volumes. The customer's RevOps or CRM admin reconciles record counts (Leads in, Contacts in, Accounts in, Opportunities in, Activities in), spot-checks 25-50 records against the Vryno source, and validates that custom module records are correctly linked to parent standard objects. Any mapping corrections or data quality issues surface here. We do not proceed to production migration without a signed sandbox reconciliation report.

Production migration in dependency order

We run production migration in record-dependency order: Accounts (from Vryno Accounts), Contacts (with AccountId resolved), Leads (with OwnerId resolved by email match), Opportunities (with AccountId, OwnerId, and RecordTypeId resolved), Products and Pricebook entries, Activity history (Tasks, Events, EmailMessages via Dataverse API with batch chunking), and Custom Module records (last, because they often have lookups to standard objects). Owner reconciliation queues any Vryno owner without a matching Dynamics User for admin provisioning before the relevant record phase runs. Each phase emits a row-count reconciliation report before the next phase begins.

Cutover, validation, and workflow rebuild handoff

We freeze Vryno writes during cutover, run a final delta migration of any records modified during the migration window, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the workflow automation inventory document to the customer's admin team with recommended Microsoft Dynamics 365 Sales workflow or Power Automate equivalents for each documented rule. We support a one-week hypercare window where we resolve reconciliation issues raised by the customer's sales team. We do not rebuild Vryno workflows as Microsoft Dynamics 365 Sales workflows inside the migration scope; that is a separate engagement or an internal admin task.