CRM migration
Field-level mapping, validation, and rollback between Espresso Agent and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Espresso Agent
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
11 of 12
objects map 1:1 between Espresso Agent and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
48–72 hours
Overview
Teams move from Espresso Agent to Dynamics 365 Sales when their real estate CRM needs deeper integration with the Microsoft ecosystem, AI-powered insights, or the ability to scale beyond real estate–specific lead types. Espresso Agent organizes data around contacts, companies, and deals with embedded real estate lead type categories (expired, FSBO, preforeclosure), a built-in power dialer, and neighborhood search tools. Dynamics 365 Sales models the same entities on Dataverse — Accounts, Contacts, Leads, and Opportunities — but requires custom columns for real estate lead types, a separate approach for dialer metrics, and Power Automate for any workflow automation. The migration carries all contacts, companies, deals, and activity history (calls, emails, notes with timestamps and owners) into Dynamics 365. Real estate lead type values migrate as a custom pick-list field (new_espresso_leadtype) and dialer call counts as a custom integer column (new_dialer_calls). Owner resolution uses email matching. FlitStack AI runs field-level diffs on a representative sample before committing the full migration, and a 24–48 hour delta pickup window captures in-flight changes during cutover.
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.
Source platform
Espresso Agent platform overview
Scorecard, SWOT, gotchas, and pricing for Espresso Agent.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Espresso Agent object lands in Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Espresso Agent
Contact (with embedded company)
Microsoft Dynamics 365 Sales
Account + Contact
1:1Espresso Agent stores contacts with an embedded company object. FlitStack AI splits this into a separate Account record first, then links the Contact to it via the AccountId lookup. The primary company name and domain become the Account name and website; secondary associations surface as Account Contact Relationships in Dynamics 365.
Espresso Agent
Contact (no associated deal)
Microsoft Dynamics 365 Sales
Lead
1:manyContacts in Espresso Agent without an associated deal are treated as Prospects. These migrate as Dynamics 365 Lead records. Leads that subsequently receive a deal in Espresso Agent are re-processed as Contact + Opportunity. The Lead Status field is populated from the source contact's stage value.
Espresso Agent
Contact (with associated deal)
Microsoft Dynamics 365 Sales
Contact
1:1Contacts carrying a live deal in Espresso Agent map directly to Dynamics 365 Contact records. The contact retains its email, phone, address, and owner information from the source system. Dialer metrics are preserved as custom columns on the Contact record: new_dialer_calls (Integer) stores the total outbound call count, and new_conversation_minutes (Decimal) stores the aggregate conversation duration accumulated in the Espresso Agent dialer history. This ensures agent performance data remains queryable in Dynamics 365 reports without needing to reference the legacy system.
Espresso Agent
Deal
Microsoft Dynamics 365 Sales
Opportunity
1:1Espresso Agent deals migrate as Dynamics 365 Opportunity records with the estimated value preserved as Amount, the close date as CloseDate, and the stage name mapped via a value-mapping table to the nearest Dynamics 365 stage (New, Qualification, Proposal, Negotiation, Closed Won, Closed Lost).
Espresso Agent
Call (dialer activity)
Microsoft Dynamics 365 Sales
Task
1:1Each dialer call in Espresso Agent creates a Dynamics 365 Task record with Type='Phone Call', Subject containing the contact name and call date, and the original call duration in minutes stored as a custom field (new_call_duration_minutes). Disposition data maps to a custom pick-list (new_call_disposition).
Espresso Agent
Email (logged activity)
Microsoft Dynamics 365 Sales
Task
1:1Logged email activities migrate as Dynamics 365 Task records with Type='Email'. The Subject, Body (plain text or HTML), and original timestamp are preserved. The Regarding lookup links the Task to the parent Contact or Lead record by email address matching.
Espresso Agent
Note
Microsoft Dynamics 365 Sales
Annotation
1:1Notes attached to contacts or deals in Espresso Agent migrate as Dynamics 365 Annotations (Note or Email — whichever matches the source format). The original note text, created timestamp, and author are preserved. Rich-text formatting is retained where the source format supports it.
Espresso Agent
Real estate lead type categories
Microsoft Dynamics 365 Sales
Custom pick-list field (new_espresso_leadtype)
1:1Espresso Agent categorizes leads as Expired Listing, FSBO, FRBO, Preforeclosure, Neighborhood Search, or Absentee Owner. Dynamics 365 Sales has no native real estate lead-type field. We create a custom pick-list column (new_espresso_leadtype) on both Contact and Lead, preserving the exact source value so reporting continuity is maintained.
Espresso Agent
Dialer metrics (call count, conversation minutes)
Microsoft Dynamics 365 Sales
Custom columns on Contact (new_dialer_calls, new_conversation_minutes)
1:1Espresso Agent's power dialer tracks per-contact call counts and total conversation minutes. Dynamics 365 Sales has no native dialer-metrics equivalent. We create new_dialer_calls (Integer) and new_conversation_minutes (Decimal) as custom columns on Contact, populated from the source dialer history aggregated per contact.
Espresso Agent
Owner / agent
Microsoft Dynamics 365 Sales
User (OwnerId lookup)
1:1FlitStack AI resolves Espresso Agent agents to Dynamics 365 users by matching the email address. Unmatched agents are flagged before migration; your team either invites them to Dynamics 365 first or assigns their records to a fallback owner. No record lands in Dynamics 365 without a resolved OwnerId.
Espresso Agent
Neighborhood search criteria
Microsoft Dynamics 365 Sales
Custom text field on Contact (new_neighborhood_search)
1:1Espresso Agent's neighborhood search feature stores property targeting criteria (streets, zip codes, property types). This is user preference data, not a contact attribute. We preserve it as new_neighborhood_search on Contact as a text field, noting that it is reference data — the property records themselves do not exist as structured objects in Espresso Agent.
Espresso Agent
Company (primary association)
Microsoft Dynamics 365 Sales
Account
1:1The primary company associated with a contact migrates as a Dynamics 365 Account. The Account name, website (domain), industry pick-list value, and employee count map directly. Parent-child company hierarchies in Espresso Agent translate to Account.ParentId lookups in Dynamics 365, with circular references flagged during validation.
| Espresso Agent | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| Contact (with embedded company) | Account + Contact1:1 | Fully supported | |
| Contact (no associated deal) | Lead1:many | Fully supported | |
| Contact (with associated deal) | Contact1:1 | Fully supported | |
| Deal | Opportunity1:1 | Fully supported | |
| Call (dialer activity) | Task1:1 | Fully supported | |
| Email (logged activity) | Task1:1 | Fully supported | |
| Note | Annotation1:1 | Fully supported | |
| Real estate lead type categories | Custom pick-list field (new_espresso_leadtype)1:1 | Fully supported | |
| Dialer metrics (call count, conversation minutes) | Custom columns on Contact (new_dialer_calls, new_conversation_minutes)1:1 | Fully supported | |
| Owner / agent | User (OwnerId lookup)1:1 | Fully supported | |
| Neighborhood search criteria | Custom text field on Contact (new_neighborhood_search)1:1 | Fully supported | |
| Company (primary association) | Account1:1 | 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.
Espresso Agent gotchas
No documented public API for bulk data egress
Annual and 24-month contract lock-in complicates exit timing
Dialer activity and transcripts are not independently exportable
Neighborhood Search segment labels may not map to standard CRM fields
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Export Espresso Agent data via API and map the schema
FlitStack AI connects to Espresso Agent using your API credentials and exports all contacts, companies, deals, call history, email logs, and notes. We inspect the exported schema — noting which contacts have embedded company objects, which have associated deals, and which dialer metrics are present per contact. This step produces a structural inventory of the source data, identifies duplicate or inconsistent records, and forms the basis of the field-mapping specification that your team reviews before migration begins.
Create custom columns in Dynamics 365 Sales and set up owner matching
Before any data is written to Dynamics 365 Sales, FlitStack AI generates a schema setup plan: the custom pick-list for real estate lead types (new_espresso_leadtype), the custom columns for dialer metrics (new_dialer_calls, new_conversation_minutes, new_call_duration_minutes, new_call_disposition), and any neighborhood search fields. Your Dynamics 365 admin creates these columns using the provided field names, data types, and pick-list values. In parallel, we run an email-domain audit across Espresso Agent agents and Dynamics 365 users to identify unmatched owners for pre-migration resolution.
Run a sample migration with field-level diff
A representative slice of records — typically 100–500 contacts, companies, deals, and a mix of call/email/note activities — migrates first. FlitStack AI generates a field-level diff comparing source values against the destination fields, verifying that lead type values populated the custom pick-list correctly, dialer metrics landed in the right columns, owner resolution resolved by email, and deal stages mapped through the value-mapping table. You review the diff and approve before the full run commits. Any field-mapping corrections are applied to the full migration specification at this stage.
Execute full migration with delta-pickup window
The full dataset migrates in the sequenced order required by Dynamics 365: Accounts first (for AccountId lookups), then Contacts and Leads (split by deal association), then Opportunities (with stage and owner mapping), then activities (Tasks and Annotations). A 24–48 hour delta-pickup window opens at the start of the migration, capturing any records modified or created in Espresso Agent during the cutover period. FlitStack AI logs every record created, updated, or skipped, with reasons for any skipped records. One-click rollback reverts all operations if reconciliation identifies critical mismatches.
Deliver audit log and rebuild reference for Power Automate
FlitStack AI provides a complete audit log of every migration operation, including record counts by object, field-mapping decisions, and a full inventory of skipped records with reasons. This log serves as the reconciliation document for your team. Separately, we deliver a Rebuild Reference that lists every third-party integration, Zapier/Make flow, or manual process that Espresso Agent supported — organized by trigger, action, and affected object — so your Dynamics 365 admin has a complete inventory for Power Automate redesign. Workflows do not migrate; this reference is the starting point for rebuilding them.
Platform deep dives
Espresso Agent
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
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 Espresso Agent and Microsoft Dynamics 365 Sales .
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
Espresso Agent: Not publicly documented.
Data volume sensitivity
Espresso Agent doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
Answers to the questions buyers ask most during Espresso Agent to Microsoft Dynamics 365 Sales migration scoping. Not seeing yours? Book a call.
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