Can you integrate Kommo with Paylocity?

Explore a Kommo and Paylocity integration with a Stacksync engineer. Stacksync support for Kommo and Paylocity is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.

Can Kommo and Paylocity sync in both directions?

Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.

What should be ready before the Kommo and Paylocity initial load?

Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the Kommo account, edition, environment, and business objects the integration must access. Identify the Paylocity account, edition, environment, and business objects the integration must access. Use the pair worksheet to record ownership and acceptance criteria.

How fast does the Kommo to Paylocity sync run?

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.

Will existing duplicates merge automatically?

No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.

How do I map Kommo fields to Paylocity?

Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.

What should I do if a record fails to sync?

Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.

What does a Kommo and Paylocity integration cost?

Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.

Which records should the Kommo and Paylocity pilot start with?

Start by reviewing Users in Kommo and Employees in Paylocity. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.

CRM / Human resources · Two-way sync platform

Kommo and Paylocity integration

Plan how Kommo and Paylocity should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.

Scope your workflow with an integration engineer
Review the systems, records, and updates you need

Integration planning

stacksync.com

Kommo

Paylocity

Review the integration scope

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Proposed workflow

Worker or employee process handoff

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting eventA change involving Kommo Users or Paylocity Employees needs a defined result in the other system.

Start with Kommo Users and Paylocity Employees. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve organization, position, manager, and effective-date context before dependent changes.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

What to verifyTest a future-dated joiner, a mover, and a leaver with protected-account exceptions before applying access changes.

Review records and field ownership

Proposed record relationships

Records to connect

Use these examples to define record matching and field ownership for your technical review.

Download the mapping worksheet

CSV · No email required

Example record relationships between Kommo and Paylocity
Kommo record	Paylocity record	Record matching	Field ownership
UsersProposed record; confirm Stacksync object support.Business process handoff	EmployeesProposed record; confirm Stacksync object support.	Link the employment/person identity to the directory tenant and user ID; support rehires without creating duplicate accounts.	HR effective dates and access-owner approval govern provisioning or deactivation; a record update alone is not an access authorization.

These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.

Record coverage to review

Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.

Kommo

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Leads Contacts Companies Pipelines & Statuses Tasks Notes	Confirm support for this record type and the direction you need.

Discuss Kommo requirements

Paylocity

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Employees Onboarding Deductions (Pay Setup) Earnings (Pay Setup) Local and State Taxes Direct Deposit	Confirm support for this record type and the direction you need.

Discuss Paylocity requirements

Connection essentials

Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.

View setup requirements and limits

Connection requirement	Kommo	Paylocity
Integration interface	REST API	REST API (v1 and v2), JSON payloads
Authentication	Confirm the credentials, API plan, and permissions required for Kommo.	Confirm the credentials, API plan, and permissions required for Paylocity.
Change detection	Confirm how Stacksync detects changes for this connector and the objects you need.	Confirm how Stacksync detects changes for this connector and the objects you need.
Read access	Confirm with Stacksync	Confirm with Stacksync
Write access	Confirm with Stacksync	Confirm with Stacksync

Enterprise controls

Security and control for your integrations

Explore security controls

Compliance and data transfers

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Record-level recovery

Inspect sync errors and use retry and revert controls to resolve failed updates.

Read the recovery guide

Implementation

Technical reference

Review setup, record relationships, testing, and recovery for your implementation.

Authentication, permissions and API limits

Connection requirements and limits

Kommo

Integration interface: REST API
Authentication: Confirm the credentials, API plan, and permissions required for Kommo.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Kommo account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Kommo, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Kommo and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Paylocity

Integration interface: REST API (v1 and v2), JSON payloads
Authentication: Confirm the credentials, API plan, and permissions required for Paylocity.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Paylocity account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Paylocity, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Paylocity and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Prepare Kommo and Paylocity access

Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.

Kommo setup checklist

Identify the Kommo account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Kommo, including read/write support, authentication, and initial-load limits.

Paylocity setup checklist

Identify the Paylocity account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Paylocity, including read/write support, authentication, and initial-load limits.

Prepare to go live

Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.

Use the Kommo and Paylocity planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

Talk to an engineer · Review current pricing

Record identity and field ownership

Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.

Download the mapping worksheet · CSV, no email required

Business process

Users / Employees

Approved worker-to-account handoff: Paylocity Employees provides context for Kommo Users. These are related records, not equivalent entities.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Kommo: Object support to establish
Paylocity: Object support to establish
Record identity: Link the employment/person identity to the directory tenant and user ID; support rehires without creating duplicate accounts.
Field ownership: HR effective dates and access-owner approval govern provisioning or deactivation; a record update alone is not an access authorization.

Fields to include

Source record reference
Destination record reference
Approved handoff state
Duplicate-detection key

Record dependencies: Resolve organization, position, manager, and effective-date context before dependent changes.
Validation: Test a future-dated joiner, a mover, and a leaver with protected-account exceptions before applying access changes.
Recovery: Reconcile effective dates before applying a delayed change; route ambiguous termination or access changes for review.

Compare integration approaches

Choose a method around one example record and the update your business needs. Use Users / Employees to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.

Stacksync managed sync

Best fit: Review compatibility with a Stacksync engineer using an example of the records and updates you need.
Operating responsibility: Fits ongoing record synchronization when the required operations are supported. Add workflow steps for approvals or business actions that go beyond copying fields.
Before you choose: Check record matching: Link the employment/person identity to the directory tenant and user ID; support rehires without creating duplicate accounts. Verify field coverage, deletion handling, and how changes are detected.

Native vendor integration

Best fit: A vendor-built integration may fit if it supports your Kommo and Paylocity record types.
Operating responsibility: Can reduce setup for a supported workflow. You may need another method for records or business steps it does not cover.
Before you choose: First check whether either vendor offers this integration. If available, verify Users / Employees, update direction, account tier, and related-record handling.

Custom API or workflow

Best fit: Consider explicit orchestration for the Users / Employees handoff.
Operating responsibility: Provides control over business steps; the team owns credentials, version changes, error queues, and reconciliation.
Before you choose: Verify endpoint permissions, pagination, quotas, duplicate detection, and failure recovery.

File or scheduled snapshot

Best fit: Consider for a one-time Kommo / Paylocity migration or a reporting need with an explicit freshness window.
Operating responsibility: Can simplify a bounded transfer; later changes and deletion history require another extraction or a separately designed incremental process.
Before you choose: Record the extraction cutoff, source IDs, encoding, date/number formats, and reconciliation totals.

Workflow scenarios and expected results

Worker or employee process handoff

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Users or Employees record needs a defined result in the other system.

Start with Kommo Users and Paylocity Employees. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve organization, position, manager, and effective-date context before dependent changes.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a future-dated joiner, a mover, and a leaver with protected-account exceptions before applying access changes.

If it fails: Reconcile effective dates before applying a delayed change; route ambiguous termination or access changes for review.

Worker lifecycle planning for Paylocity and Kommo

This is an evaluation scenario; connector and operation support require confirmation.

Starting event: A worker joins, moves, or leaves in Paylocity; a downstream process in Kommo needs the approved context.

Identify the worker and employment record represented by Employees. Retain effective dates and organizational scope.
Determine what Leads or Contacts represents: an operational task, a user identity, or a reporting row. Define a relationship; do not map these records as if they were the employee itself.
Require the process owner to approve any access, payroll, or account action and assign an exception owner.

Expected result: Rehires and concurrent assignments keep distinct employment context; delayed updates do not reverse a newer effective state.

If it fails: Inspect employment identity and effective dates before retrying the downstream action.

Initial load and acceptance testing

Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.

Users / Employees

Test case

Test a future-dated joiner, a mover, and a leaver with protected-account exceptions before applying access changes.

Expected result

The expected worker or employee relationship is preserved with no duplicate action or unintended write.

Direction and permissions

Test case

Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.

Expected result

Only an approved, supported direction and permitted fields are written.

Freshness and reconciliation

Test case

Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.

Expected result

The process meets its agreed freshness target and reconciliation has no unexplained differences.

Failed updates, retries and recovery

Start with the failed record and the destination error, then inspect the source value, field requirements, and access.

Rejected or repeated worker or employee change

Investigate

Inspect Kommo Users and Paylocity Employees, their IDs, and the destination error.

Next action

Reconcile effective dates before applying a delayed change; route ambiguous termination or access changes for review.

A record type or update is unavailable

Investigate

Check the Kommo and Paylocity connector guides, account permissions, and any operations marked On Request.

Next action

Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.

Source and destination disagree after a retry

Investigate

Compare current source values, destination validation, identity mappings, and any side effects already completed.

Next action

Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.

Read the Stacksync issues dashboard guide for retry and revert behavior.

Change detection and update delivery

How updates move between Kommo and Paylocity

See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.

Kommo Paylocity Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Paylocity.

Paylocity Kommo Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Kommo.

Update timing and record limits

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
Review write-back, deletion handling, update timing, and account limits with the integration team.
Review write-back, deletion handling, update timing, and account limits with the integration team.

FAQ