Avature ATS Integration
Get Skima Intelligence into Avature
Skima AI integrates with Avature ATS to deliver explainable AI-driven candidate match scores, reasons, and collaborative feedback loops directly inside Avature.
What You'll See in Avature ATS with Skima AI
Once Skima AI is connected with Avature ATS, your recruiting team accesses powerful AI-driven insights embedded in candidate profiles and job requisition dashboards.
AI Match Score (0-100) score on each candidate application.
Resume-based explanations in bullet points for each score.
Automatic tagging (e.g., "Skima Screened") to easily filter.
A secure, no-login link for HM to quickly approve, reject, or mark "maybe".
Skima AI writes detailed match scores, reasons, and feedback.
Continuously updated top candidate list based on fresh applications, ensuring recruiters focus on the best-fit talent only.
Why Avature Recruiting Teams Pick Skima AI
Avature users choose Skima AI to bring advanced AI insights to their ATS workflows without compromising the flexibility and customization of Avature.
Stay Within Avature
All scores, reasons, and manager feedback appear natively inside candidate records and activity timelines.
Tailored Collaboration
A shortlist link enables HM to give real-time feedback directly linked back to the candidate profile.
Always Up-to-Date
New applications are evaluated in real time via webhooks (or safe polling fallback), so your shortlist remains up to date.
Enhanced Candidate Rediscovery
Avature's historical candidate data, combined with Skima AI surfaces qualified past applicants.
What Skima AI Writes Back to Avature ATS
| Writes Back To | Field Name | Type | Example |
|---|---|---|---|
| Activity Notes | SKIMA Match Score | Number (0-100) | 92 |
| Activity Notes | SKIMA Reasons | Long text (3-5) | "5 yrs SaaS sales; CRM; quota" |
| Candidate Tag | SKIMA Screened | Tag | SKIMA Screened |
| Activity Notes | Shortlist Collaboration Link | URL | https://skima.ai/shortlist/xyz |
| Activity Notes | Hiring Manager Feedback | Enum | 👍 / 👎 / Maybe |
| Activity Notes | Hiring Manager Comments | Short text | "Strong communication skills" |
| (Optional) Stage Change | Skima Shortlisted | Stage | Move to Skima Shortlisted stage |
| (Fallback) File Attachment | SKIMA_Evidence.pdf | PDF attachment | Detailed scoring evidence |
Note: Avature supports OAuth-secured REST API calls and event-driven webhook notifications. Webhooks ensure near real-time updates; if unavailable, Skima AI uses periodic polling every 10-15 minutes to keep data current.
How the Shortlist Loop Works?
Skima AI creates a collaborative feedback loop inside Avature ATS that accelerates shortlist decisions and hiring manager alignment.
Here's how it works:
Recruiter Shares Shortlist
A secure, no-login shortlist link auto-generated by Skima AI is added as an activity note.
Manager Gives Feedback
HM clicks 👍, 👎, or "Maybe" choices and optionally adds text comments for context.
Skima AI Updates Avature
Decisions are automatically written back as activity notes and tags on each candidate record.
Recruiter Acts on Insights
The recruiter reviews the AI-ranked top-10 list and advances the best candidates confidently.
The result is real-time collaboration, faster decisions, and a transparent audit trail that integrates naturally with Avature.
Field Map for Avature ATS Integration
A detailed data flow map ensures IT admins and recruiting teams understand exactly what Skima AI pulls from and pushes to Avature.
Skima AI securely retrieves candidate and job data through Avature's REST API, accessing fields that power AI scoring and candidate rediscovery:
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Candidate Data: ID, full name, emails, phone numbers, location, LinkedIn, etc.
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Job Posting Details: Job title, description, requirements, department, location.
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Application Data: Application ID, status, submitted answers, resume files.
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Hiring Stage Data: Current stage, history of stage changes, timestamps.
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Owner and Tags: HM assignments and any tags or labels associated with the candidate or requisition.
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Historical Data: Previous applications, past requisitions, and notes for candidate rediscovery across jobs.
After AI scoring and ranking, Skima AI writes structured data back into Avature ATS via API endpoints using activity notes, tags, stage changes, and attachments:
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Activity Notes: Match score with detailed reasons (bullet points).
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Activity Notes: Shortlist collaboration link for manager feedback.
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Activity Notes: Hiring manager feedback (👍 / 👎 / Maybe) and optional comments.
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Candidate Tags: "SKIMA Screened" for easy filtering and pipeline management.
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Stage Changes: Optional automated move to "Skima Shortlisted" stage.
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Attachments: SKIMA_Evidence.pdf as fallback detailed scoring documentation if needed.
This dual data flow enables real-time AI insights and transparent collaboration embedded fully in Avature's system.
Set up Your Avature Integration
Follow these simple steps to integrate Skima AI with Avature ATS efficiently and securely.
Follow these steps:
Generate OAuth-secured API keys with read/write permissions for candidate, job, application, and activity note scopes in Avature admin settings.
Set up webhook endpoints to notify Skima AI of candidate and application events. If webhooks are unavailable, Skima AI uses safe polling every 10-15 minutes.
Create the "SKIMA Screened" candidate tag and a "Skima Shortlisted" hiring stage. Configure permissions for automated tagging and stage updates.
Validate data flows with 2-3 test requisitions by uploading resumes, verifying match scores and reasons, submitting manager feedback, and confirming write-back activity notes.
Enable integration on active roles, monitor weekly ROI reports, and conduct 15- and 30-day health checks to optimize performance.
Security &
Responsible AI
for Avature
Integrations
Skima AI integrates with Avature ATS to ensure trust and compliance, keeping candidate data secure and hiring decisions transparent.
- Skima AI provides transparent match scores with evidence from resumes, eliminating hidden black-box decisions.
- Skima AI surfaces recommended candidates without rejecting any to preserve fairness.
- Permissions and role controls ensure only authorized users view sensitive AI-driven scoring and feedback.
- All data transfers and storage use industry-standard encryption (TLS in transit, AES at rest).
- Integration aligns with SOC 2, GDPR, and data residency requirements relevant to your region.
Together, Avature and Skima AI ensure responsible AI usage and security while empowering your recruiting teams with powerful insights.
Customer Snapshot: 30-Day Pilot with Avature ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the Avature ATS Integrations.
Does Skima AI integrate with Avature ATS? How does it work?
Yes, Skima AI connects through Avature's REST API and webhooks to pull candidate and job data, score candidates, write back AI match scores, reasoning, feedback notes, tags, and optional stage changes for seamless collaboration.
What fields does Skima AI write back to Avature?
Match Scores and reasons are written as activity notes. "SKIMA Screened" tags help mark candidates. Manager feedback and comments appear as additional timeline activity notes. Optional pipeline stage changes can be automated.
How long does the Avature integration setup take?
Typically, 1-2 hours to create API credentials, webhook setup, define tags/stages, and validate with pilot tests.
Are webhooks required for Skima AI to work with Avature?
Webhooks provide real-time updates and are recommended. If unavailable, Skima AI safely uses polling every 10-15 minutes to keep data fresh.
Where do Match Scores and Reasons appear in Avature?
They appear as activity notes on candidate profiles and requisitions, maintaining a full timeline of AI analysis and hiring feedback within Avature workflows.
Can manager feedback stay inside Avature?
Yes, manager decisions and comments are written as activity notes on candidate profiles, preserving a complete collaboration history inside Avature.
What if API permissions are limited in Avature?
Read-only access allows data pulling, but full write permissions (notes:write, tag management, stage update) are needed for optimal integration functionality.
Does Skima AI support Avature's customizable data model?
Yes, Skima AI adapts to Avature's flexible schema and dynamic fields, ensuring scoring works across multiple pipelines and roles.
Will Skima AI automatically change candidate stages in Avature?
Stage moves are optional and configurable depending on team preferences for automated pipeline management.
How often are match scores refreshed in Avature?
Scores refresh in near real-time using webhooks or at minimum every 10-15 minutes via polling while requisitions remain active.