AI HR Assistant for a Large IT Company

Key results

60% faster

initial CV review and vacancy matching

20 hours

saved weekly for the recruiting team across recurring operations

50% faster

candidate handover to recruiters

67% faster

preparation of client-facing CVs

hr ai agent it

Summary

The client is a large IT company whose recruiting team handles approximately 500 applications per month across 10-12 active vacancies. The team also prepares client-facing specialist profiles, maintains employee data, and handles routine HR requests.
To reduce this workload, WiserBrand deployed WBella, an AI HR assistant already used in its own HR and recruiting operations. For the client rollout, the agent was adapted to a larger hiring operation and configured around the company’s roles, systems, workflows, and approval rules.
Cooperation Period
Ongoing
Location
USA
Industry
IT
Service Provided
AI Automation
hr ai agent it

Business Challenge

For the client’s recruiting team, every candidate review began with pulling together information from CVs, job descriptions, email, and internal records. Recruiters verified the details, checked for duplicates, and prepared a consistent profile before deciding the next step. Candidate handovers, approved rejections, and client-facing CVs each required further checks and documentation.


Vacancy copy also had to remain consistent across hiring channels, while recurring policy and internal AI tool questions added to HR’s daily workload. The company needed an AI HR assistant solution that could reduce preparation time, keep outputs tied to verified sources, and log actions under its existing approval rules.

What We Did

WiserBrand configured the AI HR assistant around the client’s recruiting and employee-support workflows, connecting WBella to approved data sources, systems, and communication channels.

  • 1

    Evidence-Based Resume Review

    WBella compares CVs routed to the workflow with active job descriptions and produces recruiter-ready summaries. Each review covers must-have matches, gaps, stop factors, seniority, language, location, and missing data, with every finding tied to source evidence.

  • 2

    Candidate Routing and Rejections

    The assistant checks for existing candidate records before creating a new entry. It prepares candidate profiles for recruiter assignment and routes candidates approved for rejection through the predefined workflow. Profiles still under recruiter review remain unchanged, and every action is logged.

  • 3

    Vacancy Management

    The assistant drafts job descriptions and adapts vacancy copy for the careers page, specialist IT job boards, professional networks, and role-specific recruitment platforms. It monitors published listings, flags outdated or conflicting information, and prepares market insights for sourcing and future vacancy updates.

  • 4

    Employee Support and Skills Updates

    Using approved internal documentation, WBella handles routine policy and workflow questions. Private, unsupported, and exceptional cases are escalated to HR.

    Employee data retrieval remains read-only and permission-based. When a profile is created or refreshed, WBella extracts technical skills supported by the employee’s current CV. After approval, it updates the relevant skill fields and logs the changes.

  • 5

    AI Tool Guidance and Prompt Coaching

    WBella provides employees with verified instructions, FAQs, and training materials for internal AI tools. It also reviews prompts for objective, context, constraints, reference materials, expected output, verification criteria, and sensitive-data handling, then provides three practical recommendations.

  • 6

    Built-In Human Oversight

    Human oversight is embedded in every workflow:

    • Recruiters and hiring managers retain responsibility for candidate decisions.
    • External communication and write actions follow approval rules or predefined workflows.
    • Candidate findings are based on verified source evidence.
    • Missing information is clearly marked.
    • Access follows role-specific permissions.

Project Results

A shorter path to recruiter review
Candidate review, duplicate checks, routing, and document preparation now run through one traceable workflow. Recruiters receive structured candidate profiles sooner and can move directly to the next decision.
Consistent, source-based outputs
Candidate summaries and client-facing CVs follow the same evidence rules. Missing information is clearly marked, personal details are removed where required, and information unsupported by the source CV is excluded.
More capacity for recruiting
WBella returns approximately 20 hours a week, or 85-90 hours a month, to the recruiting team. This equals about 0.5 FTE and frees more time for interviews, candidate communication, and hiring-manager collaboration.