Custom AI Agents for Recruitment Automation
Helping recruitment firms automate their internal processes on their terms.
Manual Processes Limit Performance
63% of recruiter time is spent on formatting, filtering, and status tracking
Disconnected systems and hand-offs increase time-to-hire and candidate drop-off
In-house IT lacks bandwidth to modernize internal workflows quickly
Average time-to-fill: 36 days
Over 40% of applicants are misrouted due to unstructured data
Custom Automation Across the Recruitment Lifecycle
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Pre-Screening Assistant
Generate targeted interview questions based on the job description and candidate’s CV
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Resume Structuring
Clean and normalize CVs from any source
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Candidate Matching
Contextual fit scoring using role libraries
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Interview Intelligence
Summarize calls, extract strengths/concerns
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Scheduling & Task Orchestration
Automate hand-offs, reminders, updates
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Job Post Processing
Generate specs from PDFs, text, or email
Custom Automation Across the Recruitment Lifecycle
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Reporting & Predictive Insights
Track KPIs, identify process gaps
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Compliance & Risk Review
Detect biased language, audit rejection patterns
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Forecasting & Volume Simulation
Estimate recruiter capacity and lead time
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Onboarding Coordination
Automate checklists, provisioning, and docs
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Learning & Development Triggering
Assign role-based training on day 1
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Hiring Plan Parsing & Internal Matching
Extract hiring needs from any client plan and match with internal candidate pools
Architectural Foundations
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Modular microservices ensure scalability without disrupting your ATS or CRM stack.
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Retrieval-Augmented Logic: Automations reference your own taxonomy, templates, and role structures.
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API-first delivery model enables integration with various ATS.
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Typical insertion points: CV intake → shortlist generation → scheduling → onboarding pipeline.
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Each automation capability is delivered as an isolated component (matching, parsing, and orchestration).
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Implementing responsible AI principles, we offer secure deployment options like client-hosted, hybrid cloud, or SOC 2 compliant environments, with auditable, explainable, and customizable outputs to ensure transparency and accountability.
Workflow Overview
ROI & Outcomes
hires save
€52,000
in recruiting effort
reduced by
290+ hours
per 100 roles
errors declines
68%
across job postings
in just
4–6 weeks
of development
Case Studies
Amazon Bedrock to automatically extract
structured job fields from unstructured
user input and crafting clear, professional
job descriptions by interpreting user
intent and enriching the content.
skill extraction solution using an 8-billion-parameter fine-tuned foundation model.
This solution enhanced the accuracy of
parsing and categorizing skills from
resumes and candidate information,
thereby, improving the platform’s search
and matching capabilities.
profile data entry into a third-party job
boards and dynamically generated
personalized cover letters. It enabled
one-click application submission by
collecting candidate data, generating
cover letters and submitting applications
via APIs.
Let’s start talking!
