Fragmented data isn’t a new challenge for recruitment teams—but as hiring models grow more complex and business needs evolve, the ability to execute seamlessly is increasingly critical. When data doesn’t flow easily between systems or visibility into the hiring process is limited, decision-making can suffer. But these challenges often point to something deeper than technology alone. According to Everest Group’s recent research, Systems of Execution: The Next Evolution in Talent Acquisition Technology, data architecture is the single biggest barrier preventing organizations from achieving coordinated, real-time execution across their recruitment lifecycle.
Integration Is Just the Beginning
Most organizations think they’ve solved their data issues when they implement integrations between platforms. Your ATS connects to your HRIS. Your assessment tool feeds results to your ATS. Your interview scheduling platform syncs with your calendar.
But integration and orchestration are fundamentally different things.
Integration means systems can exchange information. When a candidate applies, their information flows from your careers site into your ATS. When you extend an offer, that data moves into your HRIS. Information travels from Point A to Point B.
Orchestration means systems coordinate actions based on shared context. When a candidate applies, the system evaluates their qualifications against all open roles (not just the one they applied to), checks for duplicate records across platforms, initiates appropriate screening workflows, notifies relevant recruiters based on workload and expertise and begins building a profile that grows richer with each interaction.
The difference? Integration moves data. Orchestration supports decisions and drives action.
Exploring the Five Layers of SoE Data Architecture
Everest Group’s research framework reveals that effective orchestration requires five interconnected architectural layers.
1. Data Integration Layer
This is where most organizations stop—and where the real work actually begins. The data integration layer doesn’t just connect systems; it:
- Aggregates data from every source in real time
- Governs data quality, privacy and security
- Resolves conflicts when systems disagree
- Maintains a single source of truth that all other layers can leverage
Without reliable data connectivity and governance, nothing within the SoE architecture can function effectively. The data integration layer is the foundation upon which all intelligent execution depends.
2. Platform and Ecosystem Layer
Built on top of clean, integrated data, this layer ensures true interoperability. In it, systems understand context—rather than just share data. For example, when your ATS identifies a candidate as “qualified,” your assessment platform can interpret what that means in terms of specific competencies and evaluation criteria.
3. Specialized Agents Layer
With reliable data and interoperable platforms in place, AI agents can perform sophisticated tasks. A sourcing agent does more than search for keywords. It understands role requirements, knows which channels have historically produced successful hires for similar roles and can adapt its strategy based on results. But agents can only operate this intelligently when they have access to comprehensive, accurate data across the entire ecosystem. Without orchestrated data, even sophisticated AI remains limited.
4. Orchestration Layer
The orchestration layer interprets context from all your data sources and routes workflows dynamically. It can determine things like:
- This candidate’s skills match Role A better than Role B, even though they applied to Role B
- This hiring manager is overloaded, so route this requisition to their backup
- This candidate has been waiting too long for feedback, so escalate to ensure response
- This offer is outside normal parameters, so trigger additional approval workflow
None of these intelligent actions are possible without clean, well-governed data flowing through the layers beneath. This is orchestration in action.
5. Experience Layer
In the final layer, a unified interface presents the right information to each stakeholder at the right time. Candidates see a seamless experience even though their journey touches dozens of backend systems. Recruiters access everything they need without logging into multiple platforms. Hiring managers get real-time visibility, with insights surfaced clearly and in context.
The Path Forward
Reading about five-layer architectures and sophisticated orchestration might seem overwhelming, especially if you’re a mid-market organization. The good news? You don’t need an enterprise budget to achieve Systems of Execution.
Start by thinking strategically about your data architecture:
- Build your data foundation: Before adding more tools, ensure your existing systems can share reliable data. This might mean cleaning up duplicate records, standardizing field definitions or implementing a master data management approach.
- Prioritize interoperability over features: When evaluating new tools, ask: “How well does this interact with our existing systems?” A feature-rich platform that creates another data silo is worse than a simpler tool that orchestrates well with what you have.
- Think modularly: You don’t need to replace everything. Look for solutions that can add orchestration capabilities to your existing tech stack rather than requiring complete replacement. At PeopleScout, our proprietary Affinix® technology is designed with this modular approach—seamlessly coordinating with your existing systems without forcing wholesale platform replacement.
- Invest in the orchestration layer: The highest ROI often comes from middleware or orchestration platforms that sit between your systems and coordinate their actions, rather than from replacing individual point solutions.
Orchestrated Data in Action
When you move from data silos to orchestrated ecosystems, breakthrough capabilities become possible:
Real-time candidate data quality: Instead of discovering duplicate records weeks later, the system identifies and merges them instantly. When a candidate updates their phone number in one interaction, every system reflects that change immediately.
Intelligent workflow routing: The system knows that this requisition typically takes 47 days to fill, sources best from LinkedIn and employee referrals, requires three interview rounds and often gets pushback on compensation. It can configure and route the entire workflow accordingly—and adapt when conditions change.
Predictive insights: With clean data flowing across systems, you can finally answer questions like “Which combination of sourcing channels and screening methods produces our best long-term hires?” or “Where do candidates typically drop out, and why?”
Coordinated execution: When a candidate accepts an offer, orchestrated data triggers workflows across every relevant system—IT provisions access, facilities orders equipment, the learning management system enrolls them in onboarding, their manager receives an introduction packet and the payroll system prepares for their first paycheck.
Download the Complete Framework
Here, we explored the data foundation of Systems of Execution—but there’s much more in Everest Group’s complete research, which PeopleScout is pleased to support. The full report includes:
- Detailed readiness assessment for each maturity stage
- Technology selection criteria for orchestration platforms
- Implementation roadmaps and timeline expectations
- Diagnostic questions to identify where you stand across all five architectural layers
- Real-world use cases showing how data orchestration transforms TA processes
Download Systems of Execution: The Next Evolution in Talent Acquisition Technology from Everest Group to understand how to build data architecture that enables frictionless execution.
