hireEZ

The platform page states "50+ seamless integrations" and integration with "over 50 ATS partners," running on top of the customer's existing ATS with no rip and replace.

Five classes are named: applicant tracking, with an Integration Hub and Marketplace in the ATS suite and a published partners directory; email; calendar; a browser plug-in; and outbound job distribution and advertising to external channels. Sourcing reaches the open web and 45+ platforms and partner networks.

Those connectors carry real action. hireEZ sends personalized outreach over email, SMS and InMail; the AI Scheduler performs automated calendar sync and books interviews by coordinating the calendars of all parties including the candidate; Job Distribution and Advertising automates targeting, optimization and distribution of postings into external channels; Rediscovery reads and enriches candidate records inside the customer's ATS; and Hiring Process Management moves candidates through to hire "in your ATS or hireEZ's." Those are authenticated writes into systems hireEZ does not own, in both directions.

Sourcehireez.com/platform, /scheduling, /job-advertising and /partnersread 2026-09-08

The runtime is named and its scope stated: EZ Agent "isn't a feature inside one tool, it's the agentic engine running every suite on the platform," on top of the ATS the customer already owns, and the agentic AI page describes a multi step agent that "orchestrates recruiting tasks in real-time" across the hiring lifecycle: identifying talent, engaging candidates, automating scheduling and refining outcomes. Every suite runs on one System of Actions with unified talent data underneath.

Execution is multi participant. The sequence runs from sourcing to screening, interview, hiring and analytics, and the Scheduling suite coordinates "the calendars of all relevant parties within the organization and the candidate," handling rescheduling.

The vendor names the participants in its stakeholder pages (talent acquisition leader, recruiter and sourcer, hiring manager, recruitment marketer) alongside the candidate.

Requisition approvals and structured hiring in the ATS suite add a routed approval step, and Workflow Automation is a named module, so the sequence is configurable rather than fixed.

Sourcehireez.com/agentic-ai, /ez-agent, /platform and /schedulingread 2026-09-08

Two persistent corpora sit under the agent, both maintained rather than assembled per run. The first is hireEZ's own Platform Foundation Suite, stated as 1B+ candidates sourced across the open web, Deep Search and partner networks spanning 45+ platforms, with profiles regularly enriched.

The second is the customer's own estate: Rediscovery works over candidates already in the customer's ATS with profiles enriched so the record stays current, Talent Pools segment and nurture the customer's own prospects with a responsiveness signal attached, and the Talent CRM holds past applicants, referrals and internal mobility candidates. The vendor's framing is one System of Actions "with unified talent data underneath" every suite.

That store stands between runs, scales far past any context window, and stays queryable. Sourcing takes a job description or keywords and pulls relevant candidates from over 40 open web sources, Deep Search expands the parameters when a pool is too small, and Applicant Review parses context rather than keywords and highlights the profile sections that drove the match.

Sourcehireez.com/platform, /ai-sourcing and /rediscoveryread 2026-09-08

There is a documented division of labor. The agentic AI page says automation covers routine workflows "while recruiters remain in control," and that EZ Agent lifts the manual work so teams lead strategy. The sales page describes the audit trail as covering every "AI-suggested" action: suggested, not taken, which is a real statement about where the agent stops.

Semi autonomous, people centric and recruiter led are characterizations of intent rather than mechanisms, and the role based access controls and field level permissions are an access surface rather than an oversight control.

Nothing documents an approval queue, a confidence threshold, a hold before the agent sends outreach or books an interview, or a route to reverse an action once taken. Outreach across email, SMS and InMail and calendar coordination are described as running automatically.

Sourcehireez.com/agentic-ai and explore.hireez.com/contact-salesread 2026-09-08

Attestation and access controls are both published. The platform page states compliance with "SOC 2 Type II, ISO 27001/27701, GDPR and CCPA," and says hireEZ partners with independent security firms for regular penetration testing and vulnerability assessments. hireEZ also publishes a SOC 3 report, adherence to the EU-US Data Privacy Framework and its UK Extension backed by standard contractual clauses, AWS hosting under ISO/IEC 27018, and an independent TrustArc TRUSTe GDPR privacy practices validation against 44 named requirements, with its most recent review dated 31 October 2025, which is more verifiable than a self asserted GDPR claim.

On access, SSO and SAML are stated on the sales page alongside the SOC 2 attestation, with role based access controls and field level permissions on sensitive talent data, an EZ Security and Compliance suite, and an Own Your Data portal giving candidates and customers a direct data rights route. A security and compliance page and a CRM Data Security FAQ are published in the footer.

AWS hosting under ISO 27018 is infrastructure, not a residency choice.

Sourcehireez.com/platform, explore.hireez.com/contact-sales and hireez.com/gdprread 2026-09-08

One line on the sales page states: "SOC 2 Type II, SSO/SAML, and full audit trails on every AI-suggested action." That record is scoped to the agent's own output rather than to platform activity in general, and an audit trail over AI suggested actions reconstructs what the agent did.

Around it, the agentic AI page says EZ Agent orchestrates recruiting tasks in real time "with full visibility for your team," Applicant Review surfaces candidates by fit while highlighting the relevant sections of each profile as the basis for the match, and Applicant Screening delivers conversation highlights and a job fit analysis after each AI led phone screen. Those give the reasoning behind a recommendation; the audit trail gives the record of the action.

Performance reports, recruiter KPI dashboards and time to fill analytics measure the customer's hiring operations, not agent behavior. The audit trail claim appears in a sales FAQ answer rather than on a product page or in documentation, and no page describes its retention, export or scope.

Sourceexplore.hireez.com/contact-sales and hireez.com/agentic-airead 2026-09-08

The persistent talent data layer, talent pools whose profiles are regularly enriched with a responsiveness temperature scale, and ATS rediscovery of past applicants are the application's own data model: deleting them deletes the pipeline record itself, so they are not a memory layer.

The learning claims describe something else. The platform page says the AI "continuously learns from hiring outcomes, recruiter behavior, and candidate interactions to improve accuracy over time," and the agentic AI page says the agent "continuously refines processes based on recruiter feedback and real-world outcomes." That is learning absorbed into a model, not memory.

No memory scope, stated lifetime, or retention or deletion control over agent memory as distinct from candidate data is documented, and no brief is retained: briefing the agent like a sourcer is an instruction given per task, not a store.

Sourcehireez.com/platform and /agentic-airead 2026-09-08

hireEZ is hosted on AWS under ISO/IEC 27018, with cross border transfer handled through the EU-US Data Privacy Framework, the UK Extension and standard contractual clauses. Those are legal instruments authorizing data to move; they say nothing about where the data sits and give the buyer no choice in it, so they are not residency.

No region list, regional instance, VPC, customer tenant or selection surface appears on the platform page or the GDPR FAQ. The hosting footprint is disclosed rather than inferred.

Sourcehireez.com/platform and /gdprread 2026-09-08

hireEZ says plainly that this is a single agent: "hireEZ's single agent identifies top talent, engages candidates, automates scheduling and continuously improves outcomes across the hiring lifecycle," and the EZ Agent page says it "isn't a feature inside one tool, it's the agentic engine running every suite." One engine running everything is the opposite of a set a buyer selects among.

The suites (Sourcing, CRM, Applicant Match, Hiring Intelligence, Career Site and Job Distribution, ATS, Scheduling and Platform Foundation) are modules of one platform, and a product line is not a pack. ResumeSense and Applicant Match are features inside the Applicant Match suite, not separately adoptable agents.

Still, the modules are substantial and separately paged, each doing a whole job at a different point of the funnel, and Rediscovery, Deep Search, Talent Pools, Recruiting Events and Internal Mobility are named units a customer switches on. There is no browsable catalog of agents, template library or clone and configure surface; the Integration Hub and Marketplace is a connector directory.

Sourcehireez.com/agentic-ai, /ez-agent and /platformread 2026-09-08

Five channels are named. Agentic AI personalizes communication "across email, SMS, and InMail"; Conversational AI is described as "voice AI that screen and engage at scale," with Applicant Screening leading candidates through pre screen questions in a transparently AI led conversation; and a branded career site with landing pages carries inbound. Talent Communities let candidates opt in to updates, and Recruiting Events send registrations and reminders.

Triggers run on both the inbound and scheduled sides. Applicant Review scores inbound applications against the job description as they arrive; Rediscovery resurfaces past applicants in the ATS when a new role opens; Talent Pools attach a responsiveness temperature so nurture fires when a candidate is most likely to respond; the AI Scheduler runs automated calendar sync; and Workflow Automation is a named module in the ATS suite, so the customer configures the rules. Requisition approvals route on their own events.

Sourcehireez.com/platform, /ai-screening, /automated-campaigns and /talent-poolsread 2026-09-08

No model picker, admin setting, provider list, routing description or bring your own model option is documented across the platform page, the agentic AI page, the EZ Agent page and the site footer, and hireEZ names no model provider. The platform leverages "advanced AI and machine learning models" to automate and optimize every stage of the recruiting lifecycle: models in the plural, provider unnamed, and no statement that the customer influences which is used. That is vendor operated machinery, not a customer choice.

The AI values page and the Warden AI assurance dashboard address how the AI is governed and audited, not which model runs it. Over the models running EZ Agent the customer chooses nothing and is told nothing.

Sourcehireez.com/platform and /agentic-airead 2026-09-08

The API is real but scoped. The Scheduling suite is published with three named components, and one is "scheduling as an API-first service," an API for one capability that lets a customer drive interview scheduling programmatically. Alongside it the ATS suite names an Integration Hub and Marketplace, and a partners directory lists current integrations.

Beyond that, what is documented is a scheduling service plus a connector marketplace rather than an API or SDK for the whole platform. Neither the site nor the help center at help.hireez.com publishes a developer portal, API reference, endpoint list, authentication guide, SDK or documentation subdomain, and no MCP server is documented. Integration breadth comes from 50+ prebuilt ATS connectors and a browser plug-in rather than an open build surface.

Sourcehireez.com/platform, /scheduling and /partnersread 2026-09-08

A tuning loop is scoped to the customer's own instance. Match ranking improves from recruiter actions, the agent "continuously refines processes based on recruiter feedback and real-world outcomes," and Applicant Review highlights the profile sections that drove a match, so a recruiter can see what to correct. Analytics report funnel outcomes including time to fill. That is adjustment against observed output.

No test environment, simulation, versioning, scored test case or holdout is documented, and nothing lets a customer exercise a change to matching or outreach before it runs on live candidates.

hireEZ publishes an AI Assurance link in its site footer pointing to a Warden AI trust dashboard scoped to hireEZ candidate sourcing. That is a published third party audit of hireEZ's own product, so independent bias testing exists, but no route to an audit of the customer's deployed instance, or one run inside the paid layer, is published.

Sourcehireez.com/platform footer AI assurance link and /agentic-airead 2026-09-08

The platform page states hireEZ integrates ATS, email and calendar "and provides a browser plug-in" to consolidate the recruitment process, with sourcing running across the open web and 45+ platforms.

The difference lies in who navigates. Where a product navigates, clicks, fills or advances without a person driving each step, that is browser use; where a person decides which page is open and the product reads or captures from it, that is ingestion through a browser. hireEZ's plug-in is the second shape: it captures data from pages the recruiter is already viewing rather than operating a browser on the recruiter's behalf.

No hosted or local browser, desktop session, or remote or local computer control appears anywhere.

Sourcehireez.com/platformread 2026-09-08