Alris Smart Automation and Screening

This combined case study showcases how Alris's generative AI solutions transformed critical, high-volume processes, email management for a global logistics firm, and candidate screening for a multinational tech firm into efficient, automated engines.

Alris Automation & Screening Overview

We developed cutting-edge generative AI solutions to transform manual workflows in two key areas: customer service (email) and human resources (recruiting). The system analyzes email content and resume data to provide personalized actions, automated routing, and ranked shortlists, delivering enterprise-grade efficiency and accuracy.

Industry

Multinational Technology

Platform

SaaS Solution

Business Type

AI Solution Provider

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Products' Objectives

Alris is an end-to-end AI platform utilising client-owned LLM keys to drive Smart Screening (unbiased, rapid candidate shortlisting) and Smart Automation (achieving "zero inbox" with automated email processing). This dual solution transforms enterprise bottlenecks in HR and customer service, delivering significant efficiency and cost savings.

Project Scope

We designed a dual-solution AI engine leveraging shared platform components to address both challenges:

Automated Classification: AI analyses email content and tags it (e.g., "invoice", "support request") for subsequent automation.
Smart Routing: Emails are automatically routed to the appropriate team according to business rules.
End-to-End Workflow: Routine emails trigger full automation, such as updating the finance ERP or auto-creating a service ticket without human intervention.
AI-Driven Shortlisting: AI parses each CV, extracting skills and experience, and ranks candidates by fit.
Bias Reduction: The system enforces consistent criteria and can anonymise profiles to enable fairer, objective screening.
ATS Integration: Top candidates are automatically added to the Applicant Tracking System (e.g., Greenhouse, Workday), eliminating manual data entry.

End-to-End Workflow Automation AI-Driven Candidate Shortlisting Generative AI Platform Automated Email Classification Objective Bias Reduction ERP/CRM/ATS Integration Zero Inbox Operation

Our Roles

Alris served as the strategic partner for end-to-end AI implementation:

Trained custom AI models for high-accuracy text analysis, utilizing client-owned LLM keys for classification and ranking.

Built a robust, scalable backend for seamless data processing, reliable operation, and real-time notification services (Slack/Teams).

Engineered smooth, vital integration with enterprise systems, including ERP/CRM (SAP, Salesforce) and ATS (Greenhouse, Workday).

Conducted extensive testing to ensure accurate, consistent, and reliable performance across all complex automation workflows.

Managed secure deployment on client cloud (AWS/Azure) or on-premises, providing ongoing post-launch support and updates.

Stop Manual Overload, See Alris Live

Automate candidate screening and email processing, and achieve ∼50% faster results and zero inbox operation.

Project Challenges

The project involved tackling multiple challenging requirements across both automation streams:

Handling Massive Volume & Backlog

Overcoming backlogs of thousands of weekly customer emails and hundreds of resumes per position, which previously overwhelmed staff and caused significant delays.

Accuracy and Unbiased Logic

Maintaining a high accuracy rate (∼95%) for email classification while developing sophisticated, unbiased algorithms to consistently score and rank candidates based on objective criteria.

Seamless Integration Complexity

Integrating the AI with a diverse existing technology stack, including legacy ERP/CRM (SAP, NetSuite) and ATS systems (Greenhouse, Workday), required careful engineering.

Security and Data Privacy

Ensuring enterprise-grade security (SSL/TLS, AES-256 encryption) for both corporate financial data and sensitive applicant/personnel information across cloud environments (AWS/Azure).

Tools & Technologies

AI

TensorFlow

NLP

Pandas

Backend

Node JS

MongoDB

RESTful

End Result

Alris dramatically improved the clients’ operations by enhancing data handling, speed, and efficiency:

Efficiency & Savings

Manual email effort fell by ∼50%. Reduced recruiter effort by ∼75%. Yielded nearly $1 million in annual savings in one pilot.

Speed & Quality

Multi-day reply delays were cut to minutes. Positions filled ∼50% faster. ∼31% more candidates rated as "excellent fit".

Automation & Accuracy

Alris auto-handles ∼57% of routine emails at ∼95% accuracy. Achieved true "zero inbox" operation. Candidate satisfaction reached ∼90%.

Future Upgrades

Planned updates focus on advancing AI capabilities by integrating Generative AI response drafting for customer service, Procurement, LAW, and Healthcare. We will expand screening with proactive, intelligent outreach and refine workflow logic using predictive analytics for hyper-personalisation.