HRMS migration

Migrate from Madison Resources to Crelate

Field-level mapping, validation, and rollback between Madison Resources and Crelate. We move data and schema; workflows are rebuilt natively in Crelate.

Madison Resources logo

Madison Resources

Source

Crelate

Destination

Crelate logo

Compatibility

58%

7 of 12

objects map 1:1 between Madison Resources and Crelate.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

Moving from Madison Resources to Crelate is a platform-type transition: Madison operates as a financial back-office and payroll-funding layer for staffing firms, while Crelate is a recruiting ATS and CRM. There is no REST API to query on the Madison side — all data extraction requires coordinated file exports generated by Madison's internal systems on the customer's behalf. We initiate the export request early in discovery, lock the snapshot date, and map Madison's Worker, Assignment, and Invoice records into Crelate's Contact, Company, Job, and Opportunity objects. Payroll run archives and SUTA tracking data migrate as custom fields on Contact or Opportunity since Crelate is a recruiting platform, not a payroll system. Factor-fee schedules, advance rates, and recourse terms are contractual and not exported — these require renegotiation with a new funder separately. We do not migrate workflows, automations, or sequences because Madison stores these as financial and compliance processes rather than recruiting workflows, and Crelate's automation model requires rebuild by the customer's admin.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

Madison Resources logo

Madison Resources

What's pushing teams away

  • Switching to in-house payroll or a competing BPO when the firm reaches sufficient scale to justify building its own back-office infrastructure and negotiating its own factor lines.
  • Moving to a staffing-specific ATS or ERP that offers direct payroll funding integrations, eliminating the need for a separate back-office layer if the platform supports both operations and financing.
  • Consolidating to a staffing CRM with built-in back-office connectors that some firms find reduces handoff friction compared to Madison's standalone service model.
  • Dissatisfaction with factor fees or advance rates over time, especially when the firm can secure cheaper working capital through a traditional bank line or alternative funder once the firm has scale and credit history.

Choosing

Crelate logo

Crelate

What's pulling them in

  • Affordable per-seat pricing with transparent tiers makes Crelate accessible for small-to-mid staffing firms evaluating ATS platforms for the first time.
  • Fast implementation reported by customers—some describe getting live in a matter of minutes with support team assistance.
  • Unified ATS + CRM in a single product eliminates the need to buy and synchronize separate recruiting and sales tools.
  • Flexible custom fields across Contacts, Companies, and Opportunities allow recruiting teams to capture firm-specific data without developer involvement.
  • Positive reviews highlight the product's intuitive interface and functional breadth for teams that need recruiting workflows without enterprise overhead.

Object mapping

How Madison Resources objects map to Crelate

Each row shows how a Madison Resources object lands in Crelate, including any object-level transformations, lookup resolution, or schema-design dependencies.

Typical mapping — final map is confirmed during the sample migration step.

Madison Resources

Worker

maps to

Crelate

Contact

1:1
Fully supported

Madison Worker records (full name, SSN, pay rate, start/end dates, tax withholding elections, direct deposit details) map to Crelate Contact records. We extract Worker fields from the Madison file export and map them to Crelate standard fields (FirstName, LastName, Email, Phone) plus custom fields on Contact for pay rate, pay frequency, tax filing status, and direct deposit routing/account. SSN is stored in a hashed custom field or flagged for the customer's admin to complete post-migration due to PII sensitivity. Any Worker without a valid email is created as a Contact with a placeholder email for recruiter use.

Madison Resources

Assignment

maps to

Crelate

Job + Opportunity

1:many
Fully supported

Madison Assignments (linking a Worker to a client placement with a bill rate, pay rate, start date, end date, and status) split into two Crelate objects. The client-side of the Assignment — the open requisition or filled placement — maps to a Crelate Job representing the role. The worker-side maps to a Crelate Opportunity representing the placement or assignment. Opportunity fields carry bill rate, pay rate, margin, and Assignment status. Status transitions from Madison (started, extended, terminated) map to Opportunity stage values that we configure in Crelate before migration.

Madison Resources

Assignment

maps to

Crelate

Company

1:1
Fully supported

Madison Assignment records carry a client name or ID that references the end-client company. We extract client identifiers from the Assignment file export and map them to Crelate Company records. If the Company does not already exist in Crelate, we create it from the Assignment client reference during transformation. Company records are provisioned before Opportunity import so that Crelate's Company-to-Opportunity lookup is satisfied at insert time.

Madison Resources

Payroll Run

maps to

Crelate

Custom Fields on Contact + Opportunity

lossy
Fully supported

Madison Payroll Run records (earnings, deductions, taxes, net pay per pay period per Worker) do not have a native Crelate equivalent because Crelate is a recruiting ATS, not a payroll system. We map selected payroll summary fields — most recent pay period gross, most recent pay period net, year-to-date gross — to custom fields on the Crelate Contact record. Full pay stub detail (per-pay-period line items) is delivered as a structured CSV file accompanying the migration for the customer's admin to reference, not as imported records. We flag payroll run exports as reference data rather than operational Crelate records.

Madison Resources

Invoice

maps to

Crelate

Opportunity + Custom Fields

1:1
Fully supported

Madison Invoices (hours worked, bill rate, applicable markups, invoice status: draft, submitted, paid) map to Crelate Opportunity records with custom fields carrying invoice header values. We preserve the Assignment linkage so that each Opportunity retains its billing context. Invoice status from Madison becomes a custom Opportunity status field (e.g., invoiced, submitted, paid). Line item detail (hourly breakdown per invoice) is delivered as a structured CSV for manual reference because Crelate Opportunity does not have a native line-item sub-object at the invoice level.

Madison Resources

Tax Records

maps to

Crelate

Custom Fields on Contact

lossy
Mapping required

Madison quarterly and annual tax summaries (federal, state, local withholding and filings) map to custom fields on Crelate Contact for the most recent period's values. We do not import per-pay-period tax detail as that level of granularity has no natural place in a Crelate Contact record. State-specific tax filing status (state of hire, state of residence) migrates as Contact custom fields. Any multi-state tax complexity is flagged for manual review because Crelate does not have a multi-state tax configuration model.

Madison Resources

SUTA Tracking Records

maps to

Crelate

Custom Fields on Contact

lossy
Mapping required

Madison's SUTA limit tracking (workers approaching or exceeding state unemployment wage bases per state) migrates as Contact custom fields. Each state where the Worker has a SUTA record gets a custom field carrying the wage base consumed and the applicable state rate as of the export date. SUTA limits change annually per state, so we flag that the current-year rate tables require a post-migration review against the state's published rates. Crelate's custom field model (up to 20 per Contact) must be reserved thoughtfully if SUTA tracking spans many states per worker.

Madison Resources

Compliance Documents

maps to

Crelate

File Manifest + Manual Upload

1:1
Mapping required

Madison stores I-9s, W-2s, 1099s, and state-specific compliance paperwork as document references in the file export manifest. We extract document URLs or file paths and deliver a manifest mapping each Worker to their supporting document references. The actual document files (PDFs, images) require a separate file-level transfer coordinated with Madison support. Crelate's document attachments link to Contact records via ContentDocumentLink, but we do not move the physical files inside the structured data migration scope — we deliver the manifest and the customer uploads manually or via a separate file transfer.

Madison Resources

Owner

maps to

Crelate

User

1:1
Fully supported

Madison does not expose a user or owner table in its standard data export. If the Madison file export includes an owner or manager field on Assignment or Worker records, we match by name or email against Crelate's User table. Any Owner without a matching Crelate User is flagged in a reconciliation queue for the customer's admin to provision before migration resumes. If no owner data is present in the Madison export, we assign all migrated records to the Crelate admin user and flag this for review.

Madison Resources

Factor Fee Schedules

maps to

Crelate

Not Migrated

1:1
Not supported

Madison's factoring arrangements (advance rates, factoring fees, recourse provisions) are stored in individual client contracts, not in operational data tables. These do not appear in Madison's standard data export and are managed outside the staffing firm's operational data boundary. We do not migrate factor fee data. The firm must renegotiate funding terms directly with a new funder or secure a bank line post-migration. We flag this as out-of-scope in the migration scope document delivered during discovery.

Madison Resources

Placement History

maps to

Crelate

Opportunity (historical)

1:1
Fully supported

Madison Assignment records with a closed status (placement ended, temp-to-perm conversion completed, or terminated) map to Crelate Opportunity records with a closed stage. We preserve the placement start date, end date, bill rate, and pay rate as Opportunity fields. Temp-to-perm conversion outcomes are noted in a custom Opportunity field. Historical placements are included in the migration because the firm's recruiting history and client relationship depth inform future placements tracked in Crelate.

Madison Resources

Client Billing Configuration

maps to

Crelate

Company Custom Fields

lossy
Fully supported

Madison may include client-specific billing terms (markup percentage, billing frequency, payment terms) in the Assignment or Invoice export. We map these to Crelate Company custom fields so that the client's billing configuration travels with the Company record. If Madison's billing configuration is stored separately or in a non-extractable format, we flag it for manual entry into Crelate Company records post-migration.

Gotchas + challenges

What specifically takes care here

Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.

Madison Resources logo

Madison Resources gotchas

High

No public API means export scoping requires Madison coordination

Medium

Payroll funding terms are contractual and not exported

Medium

Multi-state SUTA rates change annually and vary by state

Low

Document file exports require separate file-level coordination

Crelate logo

Crelate gotchas

High

120 req/min API rate limit throttles bulk migrations

High

20 custom field per-entity cap forces data model decisions

Medium

15,000-record export ceiling on single operations

Medium

Sequences and automation workflows do not migrate

Low

API key is a querystring parameter, not a header

Pair-specific challenges

  • Madison has no public API; export coordination adds 2-4 weeks to scoping

    Madison Resources does not expose a documented REST API for external data extraction. All data export requires coordination through Madison support or account management, who generate structured file extracts on a negotiated schedule. This adds two to four weeks to migration discovery compared to platforms with self-serve export tooling. We initiate the export request early in the discovery phase and lock the data snapshot date before transformation begins to avoid partial-period gaps in Assignment and Payroll data.

  • Crelate caps custom fields at 20 per entity; Madison data is field-heavy

    Crelate enforces a limit of 20 custom fields per entity (Contacts, Companies, Opportunities). Madison's Worker, Assignment, and Payroll records contain multiple payroll-specific fields (pay rates, tax elections, SUTA rates, billing markups, factor fees) that may exceed this cap when mapped. We prioritize the fields most critical for recruiting operations and deliver remaining payroll reference data as a structured CSV manifest. Firms with complex multi-state SUTA tracking or detailed billing configurations may need to phase custom field creation across entity types or accept some reference data as CSV.

  • Payroll run history and payroll funding terms are not portable

    Madison's payroll run archives, advance balances, and factor fee schedules are either not included in the standard export or stored in contractual documents outside operational data. The firm's payroll funding terms (advance rates, factoring fees, recourse provisions) must be renegotiated with the new funder separately from the data migration. We flag funding-related fields and deliver a payroll summary for the customer's new payroll provider, but the financial arrangement itself is outside the migration boundary.

  • Crelate is a recruiting ATS, not a payroll system; payroll history maps partially

    Crelate's object model is built for candidate tracking, job orders, and placements — not payroll processing. Selected payroll summary fields (most recent gross pay, YTD earnings, tax filing status) migrate as Contact custom fields, but full pay stub detail, per-period tax withholding, and payroll run metadata have no native Crelate object. We deliver payroll run detail as a structured CSV reference file and flag which payroll data is migrated as fields versus delivered as supplementary files. Firms that need full payroll functionality in Crelate will need a separate payroll integration or manual process.

  • SUTA rates change annually and differ by state

    Madison tracks state unemployment tax wage bases and rates per worker per state. These thresholds change each calendar year and vary across states. We preserve the SUTA tracking data as of the export date in Contact custom fields. Post-migration, the customer should review state-level SUTA rate tables in their new payroll system for the current year. Crelate does not have a built-in SUTA rate table; this data requires manual entry or a payroll system integration.

Migration approach

Six steps for a successful Madison Resources to Crelate data migration

  1. Discovery and Madison export coordination

    We audit the customer's Madison account to identify all Worker, Assignment, Payroll Run, Invoice, Tax Record, and SUTA Tracking data available for export. Simultaneously, we submit the formal data export request to Madison support or account management, since there is no self-serve export tool. We lock the snapshot date and agree on the file delivery format (CSV, Excel, or delimited) with Madison. This step takes two to four weeks due to Madison's coordination requirements and determines the baseline for all subsequent transformation work.

  2. Crelate schema pre-configuration

    We provision the destination Crelate environment before any data arrives. This includes creating custom fields on Contact (up to 20 total per entity, prioritized for pay rate, SUTA state data, tax filing status, and most recent payroll summary), Company (billing terms, client-specific markup fields), and Opportunity (bill rate, pay rate, margin, Assignment status, invoice status). We configure Opportunity stage values to match Madison Assignment lifecycle states (active, extended, temp-to-perm, terminated). Record types and pipeline layout are set up during this phase so that migrated data lands in the correct Crelate structure from the first import.

  3. File export receipt and data profiling

    Once Madison delivers the file export, we profile the data for quality: duplicate Worker records, missing email addresses, null Assignment end dates, inconsistent state codes in SUTA records, and invoice line-item formatting. We produce a data quality report and work with the customer to resolve high-impact issues before transformation begins. Any Madison data that cannot be mapped to a Crelate object (factor fee schedules, contractual funding terms) is documented as out-of-scope and excluded from the migration load.

  4. Transformation and staging migration

    We transform the Madison file export into Crelate API-compatible JSON and CSV payloads. Worker records become Contact records with custom fields populated. Assignments split into Job (client role) and Opportunity (placement) records with Company lookups resolved. Invoice headers and status become Opportunity custom fields. Payroll run summary data becomes Contact custom fields and a reference CSV. SUTA tracking data becomes Contact custom fields per state. We run a full staging migration into Crelate using a test environment and deliver a reconciliation report showing record counts, mapping coverage, and any records that failed import for review.

  5. Customer reconciliation and sign-off

    The customer's staffing operations lead reviews the staging migration output against the Madison source data. We spot-check 25-50 randomly selected Workers, Assignments, and Invoices in Crelate against the source file. Any mapping corrections (custom field type mismatches, missing Company lookups, incorrect Opportunity stages) are corrected before production migration. The customer signs off on the staging results and confirms the production migration date. We also deliver the document manifest (I-9s, W-2s, compliance file references) and the payroll reference CSV at this stage.

  6. Production migration and cutover

    We run the production migration in dependency order: Companies first, then Contacts (with CompanyId resolved), then Jobs (from Assignment client references), then Opportunities (with CompanyId and JobId resolved), then custom field data for Contacts and Opportunities. Document file references are delivered as a manifest for manual Crelate upload. We freeze Madison write access during cutover, run a final delta migration for any records modified during the cutover window, then hand off. We deliver the payroll reference CSV, the SUTA tracking summary, and the factor fee out-of-scope document. We do not rebuild Madison financial workflows or payroll processes in Crelate; those are separate scope.

Platform deep dives

Context on both ends of the pair

Madison Resources logo

Madison Resources

Source

Strengths

  • Exclusive focus on staffing industry means familiarity with sector-specific billing, compliance, and workforce regulations.
  • Payroll funding and back-office operations under one roof reduces vendor coordination for cash-flow management.
  • Extensive multi-state and Canadian payroll tax coverage across 48 states.
  • Customized reporting for SUTA limits and margin analysis tailored to staffing economics.
  • Established relationships with over 300 staffing firms demonstrate proven operational track record.

Weaknesses

  • No public API documented for direct data extraction; all exports require coordination through Madison support, adding lead time to migration scoping.
  • Pricing is not published on their website; prospective clients must request a custom quote, making competitive evaluation difficult.
  • Primarily designed for staffing firms, so non-staffing businesses with similar back-office needs would have limited fit.
  • Factor-fee structures are contract-specific and opaque, making it hard to compare total cost of capital against alternative funders.
  • System capabilities and feature set are not well-documented publicly, increasing discovery effort during vendor evaluation.
Crelate logo

Crelate

Destination

Strengths

  • Unified ATS and CRM in a single platform reduces data synchronization overhead for recruiting teams.
  • Fast setup with guided implementation reported as a significant time saver for small teams.
  • Transparent per-seat pricing without surprise fees at the base tier.
  • Flexible custom field configuration across core objects without developer dependency.
  • Export capability supports up to 15,000 records per operation for Contacts, Companies, and Opportunities.

Weaknesses

  • API rate limit of 120 requests per minute restricts bulk migration throughput.
  • Custom field cap of 20 per entity requires field consolidation for complex recruiting schemas.
  • All advanced features (Activities, Activity Forms, Core Record Field customization) are tier-gated add-ons.
  • Customer service responsiveness receives consistent negative feedback in reviews.
  • Resume parsing quality trails competitors and generates support requests.

Complexity grading

How hard is this migration?

Standard HRMS migration. 1 of 7 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across Madison Resources and Crelate.

  • Object compatibility

    B

    1 of 7 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    7-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    Madison Resources: Not publicly documented.

  • Data volume sensitivity

    B

    Madison Resources doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your Madison Resources to Crelate migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

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FAQ

Frequently asked questions about Madison Resources to Crelate data migrations

Answers to the questions buyers ask most during Madison Resources to Crelate migration scoping. Not seeing yours? Book a call.

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Most migrations land between three and five weeks for firms with under 5,000 Worker records, straightforward Assignment histories, and no multi-state SUTA complexity. The Madison export coordination step adds two to four weeks to the front end of the timeline regardless of record volume. Migrations with large invoice archives (over 10,000 line items), multi-year payroll run history, or complex Assignment-to-Opportunity mapping requiring extensive Crelate custom field configuration move to six to ten weeks.

Adjacent paths

Related migrations to explore

Ready when you are

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