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ToggleYour ATS doesn’t live in isolation. It sits at the center of a complex ecosystem: HRIS systems, background check vendors, assessment platforms, video interview tools, onboarding software, payroll systems, and more. At the foundational level, these systems barely talk to each other – people serve as the integration layer, manually copying data between platforms. At the functional level, you have some point-to-point integrations but they’re fragile and require constant maintenance. At the optimized level, your systems work together seamlessly, data flows automatically, and your recruiting process spans multiple platforms without friction.
As Vivian Larsen writes in “From Zero to ATS Hero: The Accidental Admin’s Journey”, integration is your recruitment system’s “connection to utilities and services: water, electricity, internet, gas. Each connection point needs to work reliably, and when one fails, it affects your entire operation.”
The gap between maturity levels isn’t about having more integrations. It’s about having the right integrations, implemented properly, with clear ownership and sustainable maintenance strategies.
Not sure where you stand? Take our ATS Maturity Assessment to see how your integration maturity compares to industry benchmarks.
The Foundational Tier
What this looks like:
Your systems don’t talk to each other. Every time a candidate moves between stages or systems, someone manually re-enters data. When a candidate is hired in your ATS, a recruiter copies their information into the HRIS. When you need to run a background check, someone manually types candidate details into the vendor portal. When onboarding starts, HR asks for the same information the candidate already provided during application.
Your integration reality:
- Manual data entry between every system
- CSV exports and imports as “integration”
- Email notifications as the primary way systems communicate
- Duplicate data everywhere (candidate gave you their address three times)
- No single source of truth (which system has the correct phone number?)
- Integration failures mean someone didn’t do their manual task
As Vivian notes, most organizations discover that “what they thought was a straightforward recruiting workflow contains dozens of exceptions, special cases, and informal workarounds that have developed over years.”
What’s actually happening:
Your recruiters and coordinators are essentially serving as a human API, manually shuttling data between systems. They’ve become really good at it – they know exactly which fields to copy where, they’ve built spreadsheets to track what’s been transferred and what hasn’t, and they pride themselves on rarely making mistakes.
But this is incredibly fragile. When that person is out sick or leaves, things break. When hiring volume spikes, errors multiply. And candidates notice when they’re asked for the same information repeatedly.
What to do about it:
Start by identifying your most painful manual processes and building your first real integrations.
Map your current system ecosystem
Document every system touching your recruiting process:
- Core systems: ATS, HRIS, payroll
- Recruiting tools: Job boards, sourcing platforms, CRM
- Candidate evaluation: Assessment vendors, video interview platforms, background check providers
- Communication: Email, SMS, scheduling tools
- Onboarding: E-signature, I-9 verification, learning management
For each system, note:
- What data goes in and out
- Who manually moves that data today
- How often transfers happen
- What breaks when transfers don’t happen
Prioritize your first integrations
Use pain and volume to prioritize. The best first integrations are:
- ATS to background check vendor – High volume, highly repetitive, error-prone when manual
- ATS to HRIS – Critical for new hire data, affects payroll and benefits
- Assessment tools to ATS – If you use skills testing, automating score transfer saves significant time
- Job posting to job boards – Posting jobs manually to multiple boards is tedious
For iCIMS customers: iCIMS maintains a marketplace of pre-built integrations with common vendors (HireRight, Sterling for background checks; Indeed, LinkedIn for job posting; Workday, ADP for HRIS). Start with marketplace integrations before building custom connections.
Use native integrations where available
Before building anything custom, exhaust native integration options:
- iCIMS Marketplace partners have pre-built, supported connections
- Vendor-provided APIs might have documentation for direct integration
- Zapier or similar tools for simple, low-volume connections (with caveats – see below)
The advantage of native integrations: they’re already built, tested, and maintained by the vendor. When APIs change, the vendor updates the integration, not you.
Establish integration ownership
Every integration needs an owner responsible for:
- Monitoring that it’s working
- Troubleshooting when it breaks
- Coordinating fixes with vendors
- Documenting how it works
This is usually your system admin, but for complex integrations involving multiple systems, you might need cross-functional ownership (IT, HR, TA ops).
Quick win: Implement your ATS-to-background-check integration first. If you run 100 background checks annually and each takes 5 minutes to manually initiate, automation saves 8+ hours yearly. More importantly, it eliminates the risk of typos in candidate names or SSNs that delay checks by days.
The Functional Tier
What this looks like:
You have several point-to-point integrations in place. Your ATS connects to your HRIS, background check vendor runs automatically, and job postings flow to major boards. But significant manual work remains, integrations occasionally break with no warning, and you’re hitting limitations of your current approach.
Your current state:
- Core integrations exist but are fragile (break when vendors update APIs)
- Each integration was implemented differently (no standard approach)
- No centralized monitoring (you discover breaks when someone notices missing data)
- Difficult to add new integrations (every new vendor requires custom work)
- Integration documentation lives in someone’s head
- You’ve maxed out what point-to-point connections can accomplish
As Vivian explains, these challenges are common: “Every organization has official processes and actual processes. The official process says requisitions require two approvals before posting. The actual process includes the workaround where urgent roles get verbally approved, posted immediately, and the formal approvals get backdated later.”
What’s actually happening:
Your integrations are working, but barely. You’re constantly firefighting integration issues. A vendor updates their API without warning and suddenly data stops flowing. Fields map incorrectly and someone notices weeks later that phone numbers have been going into the wrong system field. When you want to add a new tool to your stack, the integration work is so complex that it delays adoption by months.
And you’re realizing that simple point-to-point integrations don’t scale. You have 8 systems that need to share data, which theoretically requires 28 different connection points (n*(n-1)/2). Managing that complexity with individual custom integrations is unsustainable.
What to do about it:
You need three things: integration monitoring, standardized implementation patterns, and potentially an integration platform.
Implement integration monitoring
Create visibility into integration health:
Daily health checks:
- Automated tests that data is flowing (e.g., test record sent from ATS appears in HRIS within expected timeframe)
- Error logs reviewed (most integrations produce logs; someone needs to check them)
- Volume monitoring (if you normally hire 10 people per week, and only 2 records transferred this week, something’s wrong)
Alert mechanisms:
- Email or Slack notifications when integrations fail
- Dashboard showing status of all integrations (green/yellow/red)
- Escalation procedures when critical integrations break
For iCIMS customers: iCIMS provides integration monitoring in the admin interface showing when data exports ran, how many records transferred, and any errors. Set up recurring calendar reminders to actually check these logs.
Document your integration architecture
Create comprehensive integration documentation:
Integration inventory:
- List of all current integrations
- What systems connect to what
- What data flows in which direction
- How often (real-time, hourly, daily, on-demand)
- Who owns it (vendor, internal IT, system admin)
Technical specifications for each integration:
- Authentication method (API key, OAuth, SFTP credentials)
- Data mapping (which source fields map to which target fields)
- Transformation rules (how data is converted or formatted)
- Error handling (what happens when a record fails)
- Contact information for support (vendor, internal)
Recovery procedures:
- How to restart failed integrations
- How to identify and fix mapping errors
- How to backfill missed data
This documentation prevents integration knowledge from being trapped in one person’s head.
Consider an iPaaS (Integration Platform as a Service)
When you have 5+ integrations and need to add more, an iPaaS becomes cost-effective. An iPaaS is middleware that sits between your ATS and other systems, providing:
- Centralized integration management (one place to monitor all connections)
- Reusable connectors (connect to iCIMS once, use for multiple integrations)
- Standardized transformation (consistent approach to data mapping)
- Error handling and retry logic (automatic recovery from temporary failures)
- Audit trails (complete history of what data moved when)
For iCIMS customers specifically: We published a comprehensive iPaaS comparison for iCIMS customers that evaluates platforms like Workato, Boomi, Celigo, Jitterbit, and The Cloud Connectors (formerly Joynd).
Key considerations when selecting iPaaS:
- Depth of iCIMS integration: Does the platform have pre-built iCIMS connectors or will you need custom API work?
- HR expertise: Does the vendor understand recruiting workflows or are they generic integration specialists?
- Implementation support: Will they build integrations for you or provide tools for you to build?
- Pricing model: Per transaction, per connector, flat subscription? How does cost scale with volume?
Build for maintainability
When implementing integrations, design for future you:
Use staging environments:
- Test integration changes in non-production before deploying to live
- Vivian emphasizes creating test environments that mirror production for safely trialing changes
Version control:
- Keep copies of integration configurations before making changes
- Document what changed and why
- Be able to roll back if something breaks
Build in validation:
- Don’t just move data; verify it arrived correctly
- Check that critical fields aren’t blank
- Flag records that don’t match expected patterns
What’s costing you: If your team spends 10 hours monthly troubleshooting integration issues and manually backfilling missed records, that’s 120 hours annually. At $75K average salary for HR/TA ops, that’s $4,300 in annual cost, plus the business impact of delayed hires or incorrect data.
The Optimized Tier
What this looks like:
Your recruiting technology ecosystem works as a unified system. Data flows automatically and reliably between platforms. When something breaks, you know immediately and have runbooks for quick resolution. New tool adoption is faster because integration is a solved problem, not a barrier.
At this level, you have:
- Centralized integration platform managing all connections
- Real-time monitoring with automated alerts
- Comprehensive documentation and runbooks
- Integration architecture designed for scalability
- Regular review and optimization of integration performance
- Clear governance for adding new tools to ecosystem
- Ability to implement new integrations in days, not months
Your recruiting process spans multiple systems seamlessly, and users barely notice where one system ends and another begins.
What’s actually happening:
Integration is an enabler, not a constraint. When your TA leader wants to pilot a new assessment tool, integration isn’t a 3-month IT project – it’s a straightforward configuration task. When a vendor changes their API, your integration platform handles it gracefully or alerts you proactively.
But you still face two challenges:
Challenge #1: Managing ecosystem complexity
As your stack grows, so does complexity. You might have 15+ integrated systems. How do you prevent integration dependencies from creating fragility? How do you maintain performance when data is flowing in dozens of directions?
Challenge #2: Balancing standardization and flexibility
Different business units or regions might need different tools or different integration patterns. How do you maintain consistency while accommodating legitimate variation?
What to do about it:
Implement enterprise integration architecture
Design your integration ecosystem as intentionally as your recruiting process:
Hub-and-spoke model:
- Your ATS (iCIMS) is the hub
- Other systems are spokes connecting to the hub
- Data transformations happen at the hub, not scattered across point-to-point connections
- This reduces n² complexity to linear complexity
API-first approach:
- Whenever possible, expose your recruiting data through well-designed APIs
- Other systems call your APIs rather than direct database access
- This creates clean boundaries and controllable integration points
Event-driven architecture:
- Critical events in recruiting (candidate hired, offer accepted, interview scheduled) trigger automated workflows
- Multiple systems can subscribe to these events and react accordingly
- This decouples systems while maintaining real-time integration
As Vivian notes in her book, understanding integration concepts like “APIs (how systems talk to each other), integrations (connecting your ATS to job boards, background check providers), data schemas (how information is structured)” is essential for effective system administration.
Build self-healing integrations
Advanced integration systems anticipate and recover from failures:
Automatic retry logic:
- If an API call fails due to temporary network issue, retry automatically (with exponential backoff)
- Don’t alert humans unless retries are exhausted
Queue-based processing:
- Integration requests go into queue rather than processing immediately
- If downstream system is down, queue holds requests and processes when system returns
- Prevents data loss during outages
Graceful degradation:
- If real-time integration fails, fall back to batch processing
- If primary integration path fails, use backup method
- System keeps working even when individual components fail
Implement proactive monitoring
Move beyond reactive troubleshooting to proactive management:
Predictive monitoring:
- Track integration performance trends (response times increasing? That predicts future failures)
- Monitor API rate limits (if you’re approaching limit, scale down frequency before hitting it)
- Watch for data quality issues (sudden spike in validation errors suggests upstream problem)
Business intelligence on integrations:
- Dashboard showing: data flowing between systems, latency metrics, error rates by integration, volume trends
- Can identify optimization opportunities (this integration processes records one-by-one, could be batched)
- Proves integration ROI (before automation: X manual hours, after: automated)
Establish integration governance
Create a formal process for ecosystem changes:
New tool evaluation must include:
- Integration requirements (what data needs to flow where)
- Integration effort estimate (hours to implement and test)
- Ongoing maintenance burden (how often does vendor update APIs)
- Vendor’s integration quality (do they have good API documentation? Support?)
Integration change control:
- All integration changes go through staging first
- Changes documented in change log
- Rollback plan required before deploying changes
- Scheduled maintenance windows for major integration changes
Quarterly integration reviews:
- Audit all integrations: still needed? Still working optimally? Any errors in logs?
- Deprecate unused integrations (reduces maintenance burden)
- Identify optimization opportunities (is this integration still running at 2 AM when it could run at 6 PM?)
For iCIMS customers considering iPaaS: Based on our detailed comparison, The Cloud Connectors leads for iCIMS-specific integration needs with pre-built connectors and HR expertise. Workato excels for organizations needing broader automation across departments. Boomi fits enterprises with strong IT presence needing reliable, scalable integration backbone. Choose based on your specific needs, resources, and integration complexity.
Design for future state
Build integration architecture that accommodates growth:
Modular design:
- Each integration should be independent (changes to one don’t require changes to others)
- Data flows through well-defined interfaces
- Easy to swap out individual components without rebuilding everything
Vendor neutrality:
- Avoid over-coupling to specific vendors’ proprietary integration methods
- Use standard protocols (REST APIs, webhooks, SFTP) where possible
- Makes switching vendors less painful if needed
Documentation as code:
- Integration configurations stored in version control
- Changes tracked and reviewable
- Can recreate integration environment from documentation if needed
Advanced strategy: Create an “integration center of excellence” with representatives from TA, IT, HR, and key vendors. This group meets quarterly to review integration strategy, evaluate new integration technologies, share lessons learned, and maintain integration standards. This prevents integration decisions from being made in silos and ensures enterprise-wide consistency.
The Bottom Line
Your ATS is only as strong as its weakest integration.
The journey from foundational to optimized isn’t about having more integrations. It’s about having the right integrations, implemented properly, with sustainable maintenance strategies.
The sophistication of your integration approach should match your ecosystem complexity:
- 1-3 integrated systems: Native integrations from vendor marketplace, manual monitoring
- 4-8 integrated systems: Consider iPaaS, implement monitoring dashboards, document thoroughly
- 9+ integrated systems or complex workflows: Enterprise iPaaS required, dedicated integration architecture, proactive governance
But at every level, the principle is the same: design integrations for reliability first, then optimize for efficiency and scalability.
Want help building integration architecture that actually works? Book a strategy call or check out our fractional ATS administration services.
Already have integrations but want to learn advanced integration strategies? Join other TA leaders in System Admin Insights where we discuss integration architecture and vendor management.
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Frequently Asked Questions
Q: Should we build integrations ourselves or buy an iPaaS?
A: If you have fewer than 5 integrations and limited complexity, native vendor integrations are sufficient. Consider iPaaS when: (1) You have 5+ integrations with ongoing maintenance burden, (2) You’re adding integrations frequently and custom build time is a bottleneck, (3) You lack internal integration development resources. For most mid-sized organizations (1,000-5,000 employees), iPaaS becomes cost-effective around 6-8 active integrations.
Q: What’s the difference between an iPaaS and just using Zapier?
A: Zapier is great for simple, low-volume automations (sending notifications, updating spreadsheets). iPaaS platforms are enterprise-grade: they handle high transaction volumes, complex data transformations, error recovery, audit trails, and mission-critical reliability. Zapier breaks or becomes prohibitively expensive at enterprise scale. Use Zapier for personal productivity hacks, use iPaaS for business-critical integrations.
Q: How do we prevent integrations from breaking when vendors update their APIs?
A: Three approaches: (1) Use vendors’ official, supported integration methods (they commit to maintaining them), (2) Implement version pinning (specify which API version you’re using, don’t auto-upgrade), (3) Use iPaaS that monitors vendor APIs and updates connectors proactively. Also: establish staging environment to test vendor updates before they hit production.
Q: What happens to our integrations if we switch ATS vendors?
A: This is painful but manageable. If using point-to-point custom integrations, you’ll need to rebuild everything. If using iPaaS, you replace the ATS connector but keep integration logic and connections to other systems. This is a strong argument for iPaaS: it reduces switching costs. When evaluating ATS vendors, ask about their integration approach and whether they support modern APIs that facilitate migration.
Q: How do we prioritize which integrations to build next?
A: Use a framework: (1) Pain × Volume = Priority. If something is painful but low-volume, deprioritize. If something is high-volume even if not painful, prioritize (efficiency gains compound). (2) Dependencies: Some integrations unblock others (ATS-to-HRIS often needs to precede onboarding automation). (3) Strategic value: Does this integration enable new capabilities or just reduce manual work? Both matter, but strategic integrations might jump the queue.
Q: Who should own integration management – IT or HR/TA?
A: Best practice: shared ownership with clear boundaries. HR/TA owns: business requirements (what data needs to flow where), integration prioritization, monitoring integration health, vendor relationship. IT owns: technical implementation (API connections, error handling), security reviews, infrastructure (iPaaS platform if used). System admin often bridges these worlds. For smaller organizations (<1,000 employees), system admin might own entirely with IT consult as needed.
Q: How much should we budget for integration work?
A: Rules of thumb: (1) Native vendor integrations: $0-$5K per integration (mostly vendor fees), (2) Custom point-to-point: $10K-$50K per integration depending on complexity, (3) iPaaS platform: $20K-$100K+ annually depending on vendor and scale, plus implementation. Also budget ongoing maintenance: 10-20% of build cost annually. Don’t forget opportunity cost: delayed integrations mean manual work continues, costing recruiter time.
Q: What’s the ROI of integration investment?
A: Direct ROI: Time saved from manual data entry × hourly cost of that labor. If recruiters/coordinators spend 15 hours weekly on manual data transfer at $35/hour fully loaded, automation saves $27K annually. Indirect ROI: Faster time-to-hire (automated workflows move candidates faster), better candidate experience (no duplicate data entry), reduced errors (automated transfers more accurate), strategic capacity (recruiters spend time on recruiting, not admin).
Q: Can we integrate with legacy on-premises systems?
A: Yes, but it’s more complex. Options: (1) iPaaS with on-premise agents (Boomi, MuleSoft, Workato offer these), (2) VPN/firewall rules allowing cloud systems to reach on-prem APIs, (3) Batch file transfers (SFTP) rather than real-time API calls. Legacy integration is common in larger enterprises; just requires more IT involvement for security and network configuration.

