Hiring Without the Spreadsheet Swamp

Explainable AI candidate screening, onboarding flows that scale with your team, and people-operations automation that respects compliance and fairness requirements. Audit-ready by design.

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HR has been one of the slower categories to adopt AI properly, and for good reason. Black-box screening tools created bias risks. Generic AI chatbots couldn't handle the nuance of compensation, performance, or sensitive employee conversations. The right HR AI systems are different. Explainable by design, audit-ready by default, and built around the specific compliance frameworks your jurisdiction requires (EU AI Act, NYC Local Law 144, Australian Privacy Principles, GDPR). The result: faster hiring, less admin burden, and decisions you can defend.

What we build

What we build in HR

Explainable candidate screeningResume parsing, qualification matching, and shortlisting with full audit trails. Every score includes an explanation, every shortlist can be defended in an audit.
Outreach and candidate engagementPersonalized candidate outreach, follow-up sequences, and interview scheduling. AI drafts, recruiter approves, candidate experience improves.
Onboarding automationFrom offer accepted through first 90 days, automated workflows that handle paperwork, IT provisioning, training assignments, and check-ins.
People operations workflowsPTO requests, performance reviews, compensation planning, and policy questions handled by AI agents with the right context, escalating to humans when judgment is needed.
Performance and feedback systemsCustom review systems built around your culture and competency model rather than templated SaaS frameworks.
HR analytics and reportingCustom dashboards for headcount, attrition, comp benchmarking, and DEI metrics. Built around the metrics your leadership actually decides on.

Where this lands

Industries that use this most

Recruitment firms use full-stack candidate screening and pipeline management as their core platform. Healthcare uses HR systems built around clinical-staff requirements (credentialing, license tracking). Hospitality and logistics use systems for high-volume hourly hiring. Education uses HR systems built around academic-year cycles.

Sample workflow

Sample workflow: Resume to shortlist for a recruitment firm

01Application arrives via job board, careers site, or direct submission
02AI parses resume, extracts qualifications, matches against role requirements
03Score generated with full explainability. Which qualifications matched, which did not, why this candidate ranked where they did
04Shortlist presented to recruiter with rationale, recruiter approves or adjusts
05Approved candidates receive personalized outreach within 24 hours, candidate experience scored and tracked

This pattern is from a real Thinkiyo build. Anonymized; full reference available on call.

Stack

Tech we work with

ATS integrations (Greenhouse, Workday, Lever, JobAdder)Document parsingOpenAI / AnthropicCustom React dashboardsPostgresHosted on your infrastructure with full audit logging

Frequently asked about HR

How do you handle bias and fairness in AI screening?

Explainability is the foundation. Every score must be defensible, every screening criterion documented, every model regularly audited for disparate impact. We do not ship black-box screening systems. Where regulations require human-in-the-loop decisions (EU AI Act, NYC Local Law 144, etc.), the system architecture enforces it.

Will this integrate with our existing ATS?

Yes. We have integrated with Greenhouse, Workday, Lever, JobAdder, and several smaller ATS platforms. Custom systems layer on top of existing tooling rather than replacing it. The ATS stays as the system of record; the AI layer adds capabilities.

Can the AI handle sensitive HR conversations like compensation or performance issues?

We design HR AI systems to recognize when a conversation needs human judgment and route accordingly. Routine questions (PTO balance, policy lookups, benefits eligibility) get answered by AI. Sensitive conversations (compensation negotiation, performance concerns, complaints) route to humans immediately. The AI does not pretend to be qualified for conversations it should not be having.

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