Manatal Integration
Get Skima Intelligence into Manatal
Skima AI gives explainable AI match scores, reasons, and manager feedback directly into Manatal. No extra logins or workflow disruption.
What You'll See in Manatal ATS with Skima AI
When integrated with Manatal, Skima AI provides recruiters with a powerful set of enhanced insights inside candidate profiles and pipelines.
AI Match Scores (0-100 ) are displayed on the candidate application.
Bullet-pointed reasons highlighting key skills aligned with the JD.
"Skima Screened" tags for rapid filtering of top candidates.
Shortlist page for managers (Approve/Skip + optional note).
Activity notes capturing hiring manager feedback for audit trails.
A top-10 shortlist that dynamically updates when new applications arrive, ensuring your recruitment teams focus on the best talent first.
Why Manatal Recruiting Teams Pick Skima AI
Recruitment teams using Manatal choose Skima AI to enhance their ATS capabilities with intelligent screening and explainability without disrupting existing workflows.
All-in-One System
Scores, reasons, and feedback are embedded directly within Manatal's candidate records.
Collaborative Hiring
Shortlists and feedback are shared effortlessly among hiring managers and recruiters through Manatal's native activity system.
Real-Time Updates
Leveraging Manatal webhooks, Skima AI scores candidates instantly as changes occur.
Rediscovery of Talent
Skima AI continuously evaluates historical candidates across Manatal pipelines.
What Skima AI Writes Back to Manatal ATS
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Candidate Activity | Skima Match Score | Number (0–100) | 88 |
| Candidate Activity | Skima Reasons | Long Text (List) | "5 yrs Java; team lead" |
| Candidate Tagging | Skima Screened | Tag | Skima Screened |
| Candidate Activity | Shortlist Link | URL | https://…/shortlist/abc |
| Candidate Activity | HM Feedback | Enum | 👍 / 👎 / Maybe |
| Candidate Activity | HM Comment | Short Text | "Ready for final round" |
NOTE: Skima AI writes these insights and feedback in real-time, leveraging Manatal's webhook-driven updates or periodic polling as a fallback to maintain data freshness.
How the Shortlist Loop Work?
The shortlist loop in Manatal ATS makes it easy to work together on candidate evaluations. It encourages smooth feedback and clear decision tracking, all within one platform.
Recruiter Shares Shortlist
A secure shortlist link is generated by Skima AI and attached to job activity notes inside Manatal.
Manager Provides Feedback
Hiring managers provide simple, no-login feedback via thumbs up, down, or maybe.
Skima AI Updates Manatal
This feedback is written back to the Manatal candidate activity feed.
Recruiters Act with Confidence
The explained AI rankings combined with manager feedback create a prioritized shortlist that is easy to act on.
This loop enhances speed, collaboration, and accountability in hiring decisions inside Manatal.
Field Map for Manatal ATS Integration
A clear data flow map helps Manatal recruiting teams and IT admins understand exactly what Skima AI pulls in and pushes back.
Skima AI securely retrieves candidate, job, and application data from Manatal via API to enable scoring and intelligence:
-
Candidate Data: Name, contact info (email, phone), location, social profiles, resume attachments, custom fields.
-
Job Details: Job titles, descriptions, requirements, departments, locations, posted dates.
-
Application Status: Current stage, history, tags, pipeline progress.
-
Historical Data: Past applications and candidate movements for rediscovery and scoring context.
-
Activity Data: Manager notes and candidate feedback for richer AI input.
After scoring and ranking candidates, Skima AI pushes structured outputs back into Manatal via candidate activity notes and tagging:
-
Activity Notes: "Skima Match Score: [0-100]" along with detailed AI reasoning.
-
Candidate Tags: "Skima Screened" for filtering.
-
Shortlist URLs: Links to Skima AI-managed shortlists for collaborative review.
-
Manager Feedback: Feedback enums (👍/👎/Maybe) and optional comments added as activity notes.
-
Optional Stage Transition: Candidates can be automatically or manually moved to a "Skima Shortlisted" stage in Manatal.
-
Evidence Files: Optionally upload detailed AI analysis reports as attachments.
This two-way data flow ensures hiring teams access real-time candidate intelligence directly in their Manatal workflows.
Set up Your Manatal Integration
Manatal + Skima AI integration is fast, secure, and requires minimal IT effort.
Below are 5 steps to set up your Manatal integration:
In Manatal Settings, generate API tokens with read/write permissions scoped for candidate, job, and activity data.
Set webhook endpoint URLs in Manatal to enable Skima AI to receive real-time event notifications (candidate updates, application status changes).
Set up "Skima Screened" candidate tags and a "Skima Shortlisted" candidate stage for pipeline tracking.
Upload resumes and trigger workflows to verify that match scores, reasons, and feedback write back correctly.
Go live by activating the integration on key requisitions and setting up dashboard reports and alerts to monitor ROI and engagement.
Security &
Responsible AI
for Manatal
Integrations
When integrating Skima AI with Manatal ATS, trust and compliance are crucial. We ensure that candidate data remains secure, hiring decisions are transparent, and hiring managers have full control.
- All API communications occur over encrypted channels (TLS), with token-based authentication and role-based access control in Manatal.
- Candidate data access is limited to authorized users, and secure shortlist links restrict visibility as per role permissions.
- Match scores come with transparent reasoning based on resume evidence to promote unbiased decisions.
- Every hiring manager's feedback and Skima AI action is recorded as an immutable activity note for governance and compliance.
- Compliance in Skima AI follows SOC 2 standards and adheres to data protection regulations, including GDPR, for integration with Manatal.
Skima AI combines AI with strict security practices, ensuring your Manatal integrations remain compliant, auditable, and fair while avoiding bias and discrimination risks.
Customer Snapshot: 30-Day Pilot with Manatal ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the Manatal Integrations.
How does Skima AI integrate and operate within the Manatal (ATS)?
Skima AI integrates with Manatal using REST APIs and webhooks to pull candidate and job data, perform AI scoring, and write match results back as activity notes and tags.
What specific fields does Skima AI write back to Manatal ATS?
Skima AI writes AI match scores, reasoning notes, screening tags, shortlist links, and hiring manager feedback into candidate activity feeds and tags within Manatal for full visibility.
How long does Manatal integration setup take?
Integration setup usually takes 60–90 minutes, including API token generation, webhook configuration, tag mapping, and validation testing to ensure proper data flow and scoring functionality.
Are webhooks mandatory for Skima AI's integration?
Webhooks are strongly recommended to enable instant data synchronization; if unavailable, Skima AI supports secure batch polling every 10–15 minutes as a fallback method.
Where can users see match scores and AI reasons in Manatal?
Match scores and reasoning appear as activity notes and tags directly on candidate profiles and pipelines, integrated seamlessly for recruiter review and workflow efficiency.
Can manager feedback stay within Manatal ATS?
Yes, hiring manager feedback and optional comments are stored as activity notes within Manatal, providing recruitment teams with an auditable, collaborative record of candidate evaluations.
What if our Manatal team has limited API access?
Skima AI requires candidate read/write access for activity and tagging, plus webhook subscription permissions to ensure real-time event notifications and accurate integration functionality.
Does Skima AI support Manatal's data structure?
Yes, Skima AI accommodates candidate lifecycle stages, custom fields, tagging, and multi-role collaboration features, integrating naturally with Manatal's flexible workflow and data structures.
Can Skima AI move candidates between Manatal stages?
Stage transitions are optional; teams can enable automated moves to "Skima Shortlisted" or retain full recruiter control over candidate progression based on preferences.
How often are match scores and shortlists updated in Manatal ?
Scores refresh instantly via webhook events and are periodically updated through scheduled polling during the active job lifecycle, ensuring continuous accuracy of AI-driven recommendations.