Use Cases · 10 min read

How Corporates Can Build Their Own Hiring System

Large organizations have unique hiring challenges that standard SaaS tools cannot solve. Learn how corporates build their own system for better control, compliance, and quality.

Door Ingmar van Maurik · Founder & CEO, Making Moves


Why Standard Tools Do Not Work for Corporates

Large organizations with more than 1,000 employees have fundamentally different hiring needs than a startup or SME. They recruit across multiple countries, for dozens of different function groups, with complex approval processes and strict compliance requirements. Yet many of these organizations use the same standard SaaS tools as companies a fraction of their size.

The result is predictable: fragmented systems, lack of data ownership, limited customizability, and high total costs. An enterprise doing 500+ hires per year using 4-7 separate tools easily pays more than EUR 250,000 per year in license fees alone. Add the hidden costs of integrations, training, data migration, and productivity loss, and the total picture becomes even less favorable.

In this article, we show how corporates can build their own hiring system, which components belong in it, and what the business case looks like.

The Unique Challenges of Corporate Hiring

Multi-Entity and Multi-Country Complexity

Corporates often operate from multiple legal entities, in multiple countries, with different labor law requirements per jurisdiction. A candidate applying to the Dutch entity has different GDPR requirements than a candidate at the US entity. Standard ATS systems rarely offer sufficient support here.

A custom system allows you to:

  • Build jurisdiction-specific compliance per entity
  • Offer local language support without limitations
  • Respect data residency requirements per country
  • Build local integrations with national job boards and government portals
  • Complex Approval Workflows

    At a startup, the CEO can directly approve a hire. At a corporate, a hiring request goes through multiple layers: hiring manager, HR business partner, department head, finance, and sometimes the board. Each layer has different information needs and different approval criteria.

    Standard tools usually offer a simple approval flow with a maximum of 2-3 steps. In practice, corporates often need 5-8 approval steps with conditional logic (e.g., above a certain salary level, board approval is required).

    Volume and Diversity

    A corporate does not just hire a lot but also diversely. From production departments needing dozens of operators per month to the C-suite searching for a new director once a year. The candidate journey, assessments, and selection criteria are very different for each type.

    Generic assessments do not work in this context. You need assessments specifically tailored to the role, level, and department.

    The Components of a Corporate Hiring System

    Component 1: Central Candidate Platform

    The core of your system is a central platform where all candidate data comes together. This replaces not only your ATS but also the separate spreadsheets, email threads, and shared folders that in practice contain the actual information.

    Essential functionality:

  • Unified candidate profile with all interactions, assessments, and evaluations
  • Role-based access so each stakeholder only sees what is relevant
  • Complete audit trail for compliance purposes
  • Intelligent matching based on skills, experience, and assessment results
  • Component 2: Configurable Workflows

    Instead of a fixed pipeline, you need a workflow engine that can be configured per vacancy type. The workflow for a junior accountant is different from the workflow for a VP Engineering.

    Configuration options:

  • Number and type of assessment steps per function group
  • Approval routes based on entity, department, and salary level
  • Automatic actions on status changes (notifications, invitations, reminders)
  • SLA monitoring per step with escalations when exceeded
  • Component 3: Integrated Assessments

    Corporates serious about hiring quality integrate assessments directly into their platform. This eliminates the need for external assessment tools and the associated integration issues.

    What this delivers:

  • Candidates experience a seamless journey without external redirects
  • Assessment results are immediately available in the candidate profile
  • Data is stored centrally and can be used for [predictive analyses](/artikelen/predictive-hiring-data)
  • Costs of external assessment tools are eliminated
  • Component 4: AI-Powered Screening and Scoring

    With the volume of applications corporates receive, manual screening is unfeasible. An AI-powered scoring system that learns from your historical hiring data can automate screening without sacrificing quality.

    How it works:

    1. The system analyzes historical data: which candidate profiles led to successful hires?

    2. New applications are automatically scored based on this model

    3. Recruiters focus their time on top candidates

    4. The model is continuously improved based on new data

    Component 5: Analytics and Reporting

    Corporates have extensive reporting needs: from operational dashboards for the recruitment team to strategic reports for the board. A custom system makes this possible without the limitations of a SaaS tool.

    Reporting levels:

  • Operational: Daily pipeline status, SLA monitoring, workload distribution
  • Tactical: Weekly trends, source effectiveness, bottleneck analysis
  • Strategic: Quarterly figures, cost analysis, quality trends, predictive models
  • Discover how a data-driven approach improves business performance in our detailed article on this topic.

    Component 6: Compliance and Audit

    For publicly listed companies and organizations in regulated sectors, compliance is not optional. Your system must comply with GDPR, OFCCP (US), and sector-specific regulations.

    Compliance functionality:

  • Automatic data retention and deletion in accordance with GDPR
  • Complete audit trail of all decisions and actions
  • Anonymization of candidate data for reporting and analysis
  • EEO reporting (US) and diversity reporting
  • Right to access and data portability for candidates
  • The Business Case: What Does It Cost and What Does It Deliver?

    Cost of the Current Situation

    A typical corporate with 500+ hires per year and a traditional SaaS stack pays:

    Cost ItemAnnual Cost

    |-----------|-------------|

    ATS licenseEUR 50,000 - 120,000 Assessment toolsEUR 40,000 - 80,000 Job board integrationsEUR 20,000 - 50,000 Video interview toolEUR 15,000 - 30,000 BI/reportingEUR 10,000 - 25,000 Integration and maintenanceEUR 30,000 - 60,000 TotalEUR 165,000 - 365,000

    Add the indirect costs: productivity loss from tool switching, data lost between systems, and bad hires due to lack of good data. Research shows that a bad hire costs an average of EUR 45,000. At 500 hires and a 10% failure rate, that is EUR 2.25 million in avoidable costs.

    Investment in a Custom System

    The investment in a custom hiring system varies, but for a corporate you can expect:

    Cost ItemInvestment

    |-----------|-----------|

    Design and development (year 1)EUR 150,000 - 300,000 Hosting and infrastructure (per year)EUR 15,000 - 30,000 Maintenance and further development (per year)EUR 40,000 - 80,000

    The payback period typically falls between 12 and 24 months, depending on the current cost structure and volume. After that period, you save not only on license costs but also benefit from better hiring quality through integrated data and AI.

    Read more about the ROI of custom hiring software in our detailed article.

    Implementation Strategy: The Phased Approach

    Corporates building their own system do it best in phases. A big-bang implementation is risky and unnecessary.

    Phase 1: Foundation (Month 1-3)

  • Central candidate platform with basic workflow
  • Integration with existing job boards
  • Migration of active vacancies and candidates
  • Core team training
  • Phase 2: Intelligence (Month 4-6)

  • Integrated assessments for the most common function groups
  • AI screening based on historical data
  • Basic dashboards and reporting
  • Rollout to all departments
  • Phase 3: Optimization (Month 7-12)

  • Advanced analytics and predictive models
  • Compliance module with complete audit trail
  • Multi-entity and multi-country support
  • Continuous improvement based on user feedback
  • Phase 4: Innovation (Ongoing)

  • New assessment forms and AI models
  • Integration with HR systems for quality-of-hire tracking
  • Benchmarking and [building proprietary norm groups](/artikelen/build-own-norm-group)
  • Experimentation with new selection methods
  • Risks and Mitigation

    Every build project carries risks. The most important risks and how to mitigate them:

    Risk 1: Scope creep — Mitigation: start with a clearly defined MVP and only expand after validation.

    Risk 2: Adoption — Mitigation: involve end users from day 1 in design and provide extensive training.

    Risk 3: Technical debt — Mitigation: invest in a solid architecture and keep part of the budget free for refactoring.

    Risk 4: Changing legislation — Mitigation: build compliance as a configurable module, not hard-coded logic.

    Key Takeaways

  • Standard SaaS tools fall short for the complex needs of corporates: multi-entity, multi-country, complex workflows, and high volumes.
  • A custom hiring system consists of six core components: central platform, configurable workflows, integrated assessments, AI screening, analytics, and compliance.
  • The business case is strong: the payback period falls between 12 and 24 months, with structural savings afterward.
  • Implement in phases: start with a foundation, add intelligence, optimize, and keep innovating.
  • Want to know what this looks like for your organization? [Get in touch](/contact) for a no-obligation conversation about the possibilities.

  • Book an intake call · View our AI Hiring System