AI Screening and Recruiting Automation for Firefish
Skima AI integrates with Firefish to screen resumes, rank candidates, rediscover past applicants, detect bot applicants and resume fraud, and conduct AI video interviews. No data migration required.
Five AI recruiting tools in one Firefish integration
Authenticate once through the Firefish API. Every AI capability below reads from Firefish and writes results back to the candidate record without migrating ATS data. No second login. No parallel platform.
Talent rediscovery
Skima AI uses semantic candidate matching and surfaces past applicants from your Firefish database when a new job opens. Explainable scores and shortlists write back to the candidate records inside Firefish.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Firefish interview stage. Fraud risk scores and anomaly signals write back to the candidate record. Skima AI never auto-rejects.
Fraud Detection →AI video interviewer
Automated AI interviews that launch the moment a candidate reaches a workflow stage you define in Firefish. Structured summary, transcript, and scores against your job criteria write back to the candidate record.
AI Interviewer →Explainable AI matching
Skima AI provides evidence behind every match score: which skills aligned, which experience transferred, which criteria the candidate met or missed. Explainable AI your team can audit.
Explainable Matching →AI resume screening
Automated resume screening that batch processes every incoming application in Firefish, ranks & sorts candidates by fit, and highlights top candidates. Built for high volume recruiting without manual review time.
AI Screening →Why Firefish teams choose Skima AI integrations
Skima AI is built for Firefish's Job Workflow. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside Firefish
Firefish manages your candidates, clients, and Job Workflow, while Skima AI adds automated resume screening, fraud detection, and candidate rediscovery that Firefish doesn't have natively.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming Firefish application. Recruiters review ranked candidates, not raw stacks. Manual resume review time is cut in half.
Blocks bot applicants before interviews
Skima AI detects bot applicants, AI-generated resumes, and resume discrepancies before they reach your interview stage. Fraud risk writes back to the candidate record.
Explainable AI for every hiring decision
Every match score includes the evidence behind it: which skills aligned, which experience transferred. Explainable AI your team can audit and act on.
Reduces time-to-hire across every role
Automated screening and AI candidate matching reduce recruiter review time at every stage. Teams move faster from application to interview without manual bottlenecks.
Surfaces candidates already in your ATS
Skima AI scans your full Firefish candidate database and surfaces past applicants who match current open roles. Talent already in your ATS database, found automatically.
How to set up Firefish AI integration
Skima AI integrates natively with Firefish without migrating ATS data. It pushes evidence-backed candidate notes back into common Firefish fields in real time.
Authenticate Firefish
A Super User creates an API profile in Firefish's Custom API Settings (Settings > Integrations > API) with the candidatesAPI-read, candidatesAPI-write, and jobsAPI-read scopes, then shares the Client ID and Secret with Skima AI. The connection is established, and indexing of your candidate database begins immediately.
Skima AI works in the background
Every new application triggers automated resume screening. Your existing candidate database gets indexed for rediscovery. Fraud signals are evaluated. Nothing changes in how your team uses Firefish.
Results appear inside Firefish
Skima AI writes screening scores, match explanations, fraud risk ratings, and interview summaries back to the candidate record as structured data. Recruiters act from the same screen they already use.
AI layer inside Firefish. No separate login.
Skima AI works inside Firefish without requiring a separate login or manual data entry. Screening scores appear on candidate records. Fraud detection appears alongside application details. Interview summaries appear as structured notes. Match explanations appear next to Match AI results.
- Results written to the Firefish candidate record, not an external dashboard
- No additional Firefish seat or license required
- Existing Firefish permissions apply to all Skima AI outputs
- Compatible with Firefish's Job Workflow end-to-end
Enterprise-grade responsible AI for Firefish integrations
NYC Local Law 144
Bias audit completed and published. All Automated Employment Decision Tool requirements met for automated hiring decisions.
EU AI Act
High-risk AI transparency, explainability, and human oversight requirements met. Applies to candidate matching, screening, and JD optimization.
Bias Auditing
Adverse impact analysis covers every AI decision. Candidate matching, JD optimization, interview question generation, and candidate scoring.
Data Ownership
Your candidate data is never used to train models for other customers. Full data isolation between accounts. Your database stays your competitive advantage.
SOC 2 Type II Certified
Candidate data encrypted at rest and in transit. Infrastructure audited and certified to SOC 2 Type II standards.
Human in the Loop
AI recommends, your recruiter decides. Skima AI never auto-rejects a candidate and never auto-advances anyone to an offer.
Ready to automate screening in Firefish?
Frequently asked questions
Everything you need to know about the Firefish integration
Does Firefish use AI to screen resumes?
Firefish offers Match AI for candidate ranking and AI CV Parser for resume parsing. Neither automatically screens incoming applications at the top of the funnel before a recruiter reviews them. Skima AI adds automated resume screening that batch processes every incoming application, ranks candidates by fit, and writes shortlists back to the candidate record in Firefish.
Can we use AI to screen resumes or rank candidates in Firefish?
Yes, Skima AI connects to Firefish via the Firefish API and automatically screens every incoming resume against your job criteria. Candidates are ranked and sorted by fit score. Shortlists and screening scores write back to the candidate record inside Firefish without migrating any CRM or ATS data.
Does Skima AI work inside Firefish without requiring a separate login?
Yes, Skima AI integrates natively with Firefish through the Firefish API. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate record inside Firefish. Recruiters never leave Firefish or log into a separate platform to see any AI results.
Does Skima AI detect bot applicants in Firefish?
Yes, Skima AI detects bot applicants, AI-generated resumes, proxy applicants, and resume discrepancies before they reach your interview stage. Detection results write back to the Firefish candidate record as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.
How does Skima AI connect to Firefish?
Through the Firefish API without migrating ATS data. In Firefish's Custom API Settings (Settings > Integrations > API), generate a profile with the candidatesAPI-read, candidatesAPI-write, and jobsAPI-read scopes, then share the Client ID and Secret with Skima AI. No IT ticket required.
Does Skima AI help to rediscover candidates already in my Firefish database?
Yes, Skima AI sources candidates from your Firefish candidate database, including archived applicants and candidates who didn't advance in previous roles. When a new job opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores. Results write back to the candidate record inside Firefish before your team sources externally.
Does Skima AI run automated AI interviews inside Firefish?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a workflow stage you define in Firefish. A structured summary, transcript, and scores against your job criteria write back to the candidate record. Recruiters review pre-screened candidates inside Firefish without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Firefish. Every match score includes the reasoning: which skills aligned, which experience transferred, which criteria the candidate met or missed. This differs from black-box scoring tools that return a number without evidence. Explainable AI for hiring decisions means your team can audit every recommendation before acting on it.
What hiring tools identify resume discrepancies before background checks?
Skima AI detects resume discrepancies at the application stage, before background checks run. This includes inconsistencies between claimed employment history, qualifications, and verifiable signals. Fraud risk scores write back to the Firefish candidate record so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is Firefish candidate data secure with Skima AI?
Skima AI reads from your Firefish instance via the Firefish API. Candidate data stays in Firefish. Skima AI does not copy it to a separate database, does not use it to train AI models, and does not require data migration. The connection is SOC 2 Type II certified, GDPR compliant, and encrypted at rest and in transit.