The intelligence for autonomous recruiting
Connects every touchpoint in the candidate journey, recognizes relevant signals and controls recruiting processes with AI agents — around the clock and immediately scalable.
Try it now — no demo, no setup.
What Paul makes possible
24/7
Paul enables direct, dialogue-based advertising on any channel.
10x
Paul enables direct, dialogue-based advertising on any channel.
9 mins
Paul enables direct, dialogue-based advertising on any channel.
90%
Paul enables direct, dialogue-based advertising on any channel.
From fragmented processes to a data-driven recruiting flow
Paul's job brings together all recruiting data points — applicant communication, screening, scheduling, interviews, talent pool — in a uniform flow. AI agents analyze the context in real time and automatically trigger appropriate actions.
Touchpoints are no longer isolated — Channels, teams, and systems Interlock seamlessly
Steps are automatically taken in the correct Moment triggered
Recurring tasks run autonomously
No lost candidates:inside, no forgotten follow-ups
The three disciplines that make Paul a game changer in recruiting

Smart process
coordination
Recruiting that always knows what needs to happen next.
Paul continuously analyses profiles, requirements and process signals, recognizes next steps and continues to guide candidates autonomously.

Modern multichannel communication
Paul answers inquiries immediately, makes real conversations via WhatsApp, Telegram, website, e-mail, SMS, telephone and keeps the dialogue going without waiting time. Applicants feel welcomed, the process is gaining speed and more complete applications are being submitted.

Continuous analysis & matching
Paul provides real-time transparency across the entire recruiting funnel: conversion per stage, quality per input channel, settings by period and rejection reasons — everything at a glance. Media budgets can be controlled based on data.
This is how autonomous recruiting with AI agents works
Applicant communication — dialogue-based and cross-channel
Paul replaces forms with dialogue-based communication across all relevant channels and automatically starts pre-screening.

Pre-selection & screening —
AI strengths in the process
Paul completely checks qualifications, documents and requirements and makes decisions directly in the process.

AI interview (optional)
Paul conducts structured interviews, fully checks all relevant criteria and evaluates answers objectively — including documentation as text and audio.

Scheduling & Coordination —
without manual adjustment
Paul suggests suitable slots, synchronizes calendars and manages reminders or postponements autonomously.

Interview Note-Taker
Paul automatically creates transcripts, summaries and scorecards during interviews, thus ensuring clear decision-making principles and transparency for recruiting and specialist areas.

talent pool, re-engagement
& Matching
Paul recognizes potential talents early on, builds up talent pools, keeps them up to date and automatically activates them for suitable roles.

Onboarding & employee support
Paul supports new employees from day 1 with orientation, answers to HR and location questions and continuous support during the first few weeks.

Applicant management with AI agents
Automate your entire recruiting process
Integration & expandability
The central intelligence layer for recruiting processes
Integration into existing system landscapes
interview
Paul integrates with existing recruiting and HR systems via APIs
Paul as a leading recruiting system
interview
Paul can act as a lead system himself and transfer structured results to other systems.
Code execution — own functions directly in Paul
interview
Integrated code execution allows you to execute your own functions directly within Paul.
faqs
AI in recruiting,
Automation & AI agents
Paul begleitet neue Kolleg:innen ab Tag 1:
Er beantwortet Fragen, erklärt Prozesse, Koordinationswege und Tools und sorgtso für Orientierung in den ersten Wochen und Monaten.
Alles über Chat, Voice oder Web – skalierbar, ohne HR-Mehraufwand.
Paul prüft im Chat oder Voice-Dialog alle relevanten Kriterien:
• Qualifikationen
• Erfahrung
• Erfüllung gesetzlicher Anforderungen
• Verfügbarkeit
• Mobilität
• Gehaltsrahmen
Unvollständige Informationen fordert Paul automatisch nach.
Über integrierte Voice-Analyse kann Paul Sprachlevel nach CEFR (B1–C2)bestimmen.
Dokumente wie Zertifikate, Ausweise oder Nachweise werden automatisch erkannt,extrahiert und bewertet.
Paul gleicht Anforderungen und Profile kontinuierlich ab.
Er nutzt:
- Skills, Qualifikationen, Nachweise
- Erfahrung, Standort, Verfügbarkeit
- Screening-Daten & Gesprächsinhalte
- Talentpool-Historie
So erkennt Paul passende Matches frühzeitig – auch solche, die manuell oft übersehen werden.
Applicants love
our AI interview
“Uncomplicated, stress-free, surprisingly pleasant” — this is what feedback sounds like when AI interviews.





