HRMS

Migrate your Cadient data

AI-powered ATS built for high-volume hourly hiring. It scores candidates with proprietary ML models and surfaces measurable retention outcomes, but lacks a documented public API for migrations.

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In its favor

Why people choose Cadient

The signal that keeps Cadient on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

AI-driven candidate scoring that pulls screening data, references, and tenure prediction into a single SmartScore signal, reducing manual review burden at scale.

Configurable structured screening workflows that route candidates through configurable stages, reducing repetitive HR work on high-volume requisitions.

Measurable outcomes cited in case studies: 20% reduction in turnover, 41% reduction in hiring time, and millions in avoided turnover costs for large-volume employers.

SmartTenure ML model predicts which candidates are most likely to stay long-term, helping hiring managers make retention-informed decisions before extending offers.

Referred candidate tracking via SmartRefer integrates referral sources into the hiring funnel, turning employee networks into a measurable performance channel.

1,000-record export caps — G2 reviewers report data pulls cap at 1,000 entries per export, forcing recruiters to run multiple exports and merge files manually, which creates real friction during reporting cycles and migrations.

Limited integration ecosystem — independent reviews note Cadient's integration set is narrow versus larger ATS suites, with users specifically calling out integration issues between Cadient and HRIS systems.

Configuration rigidity — TrustRadius and G2 reviewers describe hiring steps that get confusing and require step 'restarts', plus requests for more customisation that the platform does not currently support.

Sales-process complaints — Cadient G2 reviews include accounts where prospects said the vendor 'failed to share important details' and 'were dishonest about posting and sponsoring jobs, and did not clarify that it was only an ATS service', a credibility gap during procurement.

Weaker analytics — multiple reviewers ask for better data analytics, particularly when filtering applications by position the results bleed in unrelated applications, undermining trust in dashboards for high-volume hiring.

Reasons to switch

Why people leave Cadient

The recurring reasons buyers give for replacing Cadient. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Cadient fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Structured AI scoring surfaces top-fit candidates and flags flight risks before scheduling.High-volume workflow automation reduces repetitive steps for hiring managers at scale.SmartTenure ML model predicts long-term retention to inform hiring decisions upfront.SmartRefer and SmartCommunicate tools integrate referral tracking and candidate messaging into the hiring funnel.Case studies report measurable ROI: 20% turnover reduction, 41% faster hiring cycles, and millions saved on rehiring costs.

Weaknesses

No publicly documented API or bulk export mechanism is available in the research record, making programmatic migration dependent on manual exports or customer-provided data dumps.Pricing is not published publicly; budget planning for migration requires direct engagement with Cadient sales.AI-generated scores (SmartScore, SmartTenure) are not reproducible in destination systems since model weights and raw signals are not exposed.The platform lacks review depth on G2 (10 reviews) and no public pricing page, limiting third-party due diligence.Limited integrations listed (AccurateNow, Paycor); broader HRIS or ATS ecosystem connectivity is not well-documented.

Where it works

Large enterprises (1,000+ employees) with high-volume hourly hiring pipelines, particularly in retail, grocery, healthcare, and hospitality sectors where turnover is structurally high.Organizations running high-frequency requisition cycles where structured screening workflows reduce repetitive manual review steps for distributed hiring managers.Employers prioritizing measurable retention outcomes, using SmartTenure ML predictions to inform pre-offer retention risk assessments on high-volume candidate pools.Companies with established referral hiring programs that want to integrate SmartRefer into a single ATS workflow and track referral-source performance.Mid-to-large employers in the US market seeking quantified ROI metrics (20% turnover reduction, 41% faster time-to-hire) to justify platform investment.

Where it struggles

Small-to-mid-sized businesses with low-to-moderate hiring volume, where the platform's high-volume workflow design introduces unnecessary complexity and cost.Organizations requiring a documented public API or bulk export mechanisms, as no programmatic data access method appears in the research record.Teams needing transparent AI explainability or model-level audit trails, since SmartScore and SmartTenure do not expose underlying weights or signals.Employers with broad HRIS or ATS ecosystem requirements, given documented integrations are limited to AccurateNow and Paycor with no additional connectivity details.Organizations requiring public pricing for procurement planning, since Cadient publishes no pricing tiers or rate cards in the research evidence.

Pricing tiers

Cadient pricing overview

Cadient pricing is fully quote-based and tied to hiring volume, number of locations, modules selected (SmartScore, SmartTenure, SmartRefer, SmartCommunicate), and implementation scope. No public pricing page, tier names, or per-user rates are published on cadienttalent.com or on G2, SoftwareSuggest, Slashdot, or Research.com. Implementation and premium-feature add-ons are separate line items that require Cadient sales engagement to scope. There is no free trial or self-service signup.

Custom (sales-led)

Tier 1 of 1

Custom — no public tiers published

What's included

Quoted by hiring volume (annual requisitions and applications) and number of hiring locationsModule selection drives base price: SmartScore, SmartTenure ML, SmartRefer referral tracking, SmartCommunicate textingImplementation services billed separately from subscriptionPremium features and add-ons can substantially increase TCO per Research.com 2026 reviewNo published free trial or self-service tier

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Pricing is informational. FlitStack AI does not bill on Cadient's schedule — see our quote-based pricing →

What gets migrated

Cadient object support

Object-by-object support for Cadient migrations. Per-pair details surface during scoping.

Candidates

Fully supported

Standard fields (name, contact info, work history, source, tags) are well-documented and transfer cleanly. Resume parsing output format varies by source; we normalise to plain-text or structured JSON depending on destination requirements.

Requisitions

Fully supported

Requisition metadata (title, department, location, open date, hiring manager) uses standard field names. We map these directly to the destination object's equivalent fields and flag any custom requisition-level properties for review.

Applications

Fully supported

Application records are linked to a Candidate and a Requisition. All standard fields (apply date, status, source, referral) migrate cleanly. Custom application properties are reviewed during scoping and mapped individually.

Scorecards

Fully supported

Scorecard responses follow a structured question-and-answer format. We preserve the full response history per reviewer. Note that SmartScore aggregates these; the aggregate score is migrated as a numeric field, not the underlying raw responses separately.

Interviews

Fully supported

Interview records include interviewer, date/time, type (phone, video, onsite), and disposition status. We preserve the full interview schedule and any notes attached at the record level.

SmartTenure Predictions

Not in this platform

SmartTenure generates a stay-risk score using a proprietary ML model trained on Cadient's internal dataset. The model weights and raw signals are not exposed via any documented export mechanism. We cannot reproduce this score in a destination system; we migrate it as a static informational field only if the raw score is available in the record.

SmartScore Aggregates

Mapping required

SmartScore is a composite signal synthesised from screening, references, and tenure prediction. The composite score is transferable as a numeric field, but the component-level breakdowns are not separately exportable. We note this limitation in the data map and advise clients to recalibrate any downstream scoring logic in the destination system.

Workflow Configurations

Mapping required

Workflow stage names, routing rules, and automated trigger conditions vary widely across ATS platforms. We capture the current stage definitions and map them to destination equivalents, but business logic (auto-reject rules, escalation triggers) requires manual review and re-implementation.

Screening Assessments

Mapping required

Assessment results depend on the screening tool Cadient integrates with (AccurateNow, Paycor, or other). We migrate raw assessment scores as custom fields and flag any assessments that require re-scoring in the destination ATS.

Offer Letters

Mapping required

Offer letter templates and issued offer records can be exported as documents. However, the offer status (accepted, pending, declined) may be stored as an application sub-status rather than a standalone object. We map these carefully to preserve the full offer lifecycle.

Gotchas

What to watch for in Cadient migrations

Issues we've hit on past Cadient migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

High

No documented public export API

High

SmartTenure predictions are non-transferable

Medium

Workflow stage definitions require manual reimplementation

How a Cadient migration works

Four steps, Cadient-specific

Connect

Not publicly documented into Cadient. Scopes limited to read-only on the data we move.

Map

We translate Cadient-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Cadient quirks before production.

Migrate

Full migration with Cadient rate-limit handling. Rollback available throughout.

FAQ

Cadient migration FAQ

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

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Most Cadient migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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