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AI Products by FenixAi

Focused AI capabilities. Built around your workflow.

Explore focused AI capabilities from our enterprise, recruitment and customer-care portfolio. Discuss the scope, integrations and standalone packaging that fit your needs.

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Conceptual illustration

Independent by design

Point solutions.
Platform-grade engineering.

Built on the same multi-modal, agentic AI foundation and enterprise-grade security posture as FenixAi’s full platforms — sized and priced for teams that need one capability, not an entire operating layer.

Standalone AI capabilities

The right agent. For the task at hand.

Explore individual capabilities without starting with a full platform rollout. Standalone scope and availability are confirmed during your demo discussion.

01 / AI capability

Face Recognition Agent

What is the agent?
Vision-based identity matching and access intelligence.
What does it solve?
Manual identity checks and disconnected attendance or access events.
Why FenixAi?
Configurable integrations, permitted uses and audit records.
Request a demo of Face Recognition Agent ↗
02 / AI capability

Predictive Analytics Agent

What is the agent?
Analyzes connected data to identify patterns and likely outcomes.
What does it solve?
Teams struggle to turn scattered information into decision support.
Why FenixAi?
Builds on enterprise data intelligence with context and governed access.
Request a demo of Predictive Analytics Agent ↗
03 / AI capability

Forecasting Agent

What is the agent?
Uses historical data and agreed assumptions to support planning scenarios.
What does it solve?
Planning relies on disconnected spreadsheets and inconsistent assumptions.
Why FenixAi?
Connect forecasts to business context, with assumptions reviewed by your team.
Request a demo of Forecasting Agent ↗
04 / AI capability

Interviewer Agent

What is the agent?
Conducts structured interview conversations and prepares evidence.
What does it solve?
Interview coordination and inconsistent evidence slow recruitment.
Why FenixAi?
Draws on AaiRA interview workflows with human decision authority.
Request a demo of Interviewer Agent ↗
05 / AI capability

Malpractice Detection Agent

What is the agent?
Surfaces interview integrity indicators for human investigation.
What does it solve?
Potential irregularities are difficult to review consistently.
Why FenixAi?
Connects integrity signals to interview evidence; flags are not proof of misconduct.
Request a demo of Malpractice Detection Agent ↗
06 / AI capability

Job Description Agent

What is the agent?
Prepares structured job descriptions from role requirements.
What does it solve?
Unclear role descriptions attract poorly matched applications.
Why FenixAi?
Uses the AaiRA role preparation workflow and editable templates.
Request a demo of Job Description Agent ↗
07 / AI capability

Candidate Screening Agent

What is the agent?
Organizes candidate information against role requirements.
What does it solve?
Recruiters spend time manually sorting and comparing applications.
Why FenixAi?
Prepares evidence for recruiter review within the hiring workflow.
Request a demo of Candidate Screening Agent ↗
08 / AI capability

Interview Scheduling Agent

What is the agent?
Coordinates interview times, status and follow-ups.
What does it solve?
Manual calendar coordination delays candidate progress.
Why FenixAi?
Builds on the AaiRA interview calendar and connected recruitment stages.
Request a demo of Interview Scheduling Agent ↗
09 / AI capability

Knowledge Agent

What is the agent?
Retrieves answers from approved enterprise knowledge.
What does it solve?
Inconsistent answers and repeated searching slow support.
Why FenixAi?
Uses the FenixCX knowledge and authorization-aware retrieval approach.
Request a demo of Knowledge Agent ↗
10 / AI capability

Complaint Agent

What is the agent?
Classifies complaints and coordinates cases and follow-ups.
What does it solve?
Customer issues lose context between teams and systems.
Why FenixAi?
Connects complaint handling to governed customer-care workflows.
Request a demo of Complaint Agent ↗
11 / AI capability

Billing Agent

What is the agent?
Explains bills, charges and account activity using connected data.
What does it solve?
Customers and support teams struggle to understand billing details.
Why FenixAi?
Brings billing context into a permission-controlled customer conversation.
Request a demo of Billing Agent ↗
12 / AI capability

Sentiment Agent

What is the agent?
Identifies signs of frustration and urgency in conversations.
What does it solve?
Teams can miss when a routine conversation needs attention.
Why FenixAi?
Provides a signal to support response and escalation decisions.
Request a demo of Sentiment Agent ↗
13 / AI capability

Escalation Agent

What is the agent?
Routes cases and prepares context for a human team.
What does it solve?
Customers repeat their story after every transfer.
Why FenixAi?
Packages the conversation, history and actions for a contextual handover.
Request a demo of Escalation Agent ↗
14 / AI capability

Retention Agent

What is the agent?
Supports cancellation journeys and approved retention responses.
What does it solve?
Teams lack context when responding to customers considering cancellation.
Why FenixAi?
Coordinates responses within customer policy and approved offer limits.
Request a demo of Retention Agent ↗

Inside the data intelligence workspace

Data Agent chart of candidate counts by role, with suggested follow-up questions and chart export controls
Data Agent · Conversational analysisActual product screenshotView full size

Deployment and packaging

Start focused. Connect as needed.

Discuss the capability, integrations and deployment model you need. We confirm standalone availability and the scope of your demo with you.

Your next step

License a standaloneAI product.

Discuss the capability, integrations, and deployment your team needs.

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