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Case Study  ·  Axiom Global Technologies

End-to-end AI recruiting transformation for Axiom Global Technologies

Helping Axiom modernize their entire recruiting lifecycle, from sourcing to scheduling to KPI visibility, through a fully automated AI platform.

Roles

  • Product Strategy
  • Product Engineering
  • Product Design
  • AI Integration

Deliverables

  • AI Sourcing Engine
  • ATS & Vendor Integrations
  • Recruiter KPI Dashboard
  • AI Alerting System
  • Interview Scheduling Automation
  • Executive Reporting Platform

Technologies

  • Next.js, TypeScript, Tailwind CSS
  • Python, SQL
  • OpenAI Integration
  • JobDiva (ATS), SAP Fieldglass
  • Scheduling APIs
Axiom recruiting platform overview
10×
Recruiter efficiency: output capacity across sourcing & scheduling
100+
Hours of manual work eliminated per week
20+
Year-old staffing operation, fully modernized
Background

A 150-person staffing firm running on spreadsheets and manual effort

Axiom Global Technologies is a California-based recruiting and staffing company with over 20 years of operational history and a global team of 150+ employees. They specialize in enterprise staffing engagements, serving clients such as Capgemini.

Despite their scale and experience, Axiom's recruiting workflow remained fragmented across sourcing platforms, ATS systems, spreadsheets, and manual coordination processes. Recruiters were spending significant time on repetitive sourcing, manual reporting, and scheduling rather than high-value placement work.

Leadership lacked end-to-end visibility into performance, while recruiters faced bottlenecks across sourcing, prioritization, and coordination.

The challenges

Four bottlenecks holding placements back

01

Manual candidate sourcing & search inefficiencies

Recruiters relied heavily on manual searches within JobDiva and external databases, leading to duplicated effort and lost productivity.

02

Fragmented data across systems

Critical recruiting data lived across JobDiva, SAP Fieldglass, and spreadsheets. Reporting required manual aggregation, increasing overhead and risk of error.

03

Interview coordination delays

Interview scheduling required back-and-forth communication between candidates, recruiters, and clients, slowing down time-to-fill.

04

Limited KPI & performance visibility

Without centralized dashboards and alerts, leadership struggled to measure recruiter performance, role prioritization, and operational bottlenecks effectively.

Our solution

One platform across sourcing, scheduling, and visibility

AI-powered candidate sourcing & search automation

We built a sourcing engine integrated directly with JobDiva and external data sources. The system automated candidate searches, enriched profiles, and surfaced high-match candidates based on role requirements.

Recruiters no longer needed to manually comb through databases. AI continuously surfaced prioritized candidate pools, saving hours per recruiter weekly.

AI candidate scoring with skill match analysis
AI candidate scoring: skill matches, gaps, and a proceed/pass recommendation for every candidate
Per-role sourcing pipeline and progress
Per-role sourcing: target pipeline, scored candidates, and boolean search tooling

Candidate portal & structured intake

We designed and implemented a dedicated candidate portal where applicants could submit structured profile information, upload resumes and supporting documents, complete role-specific questionnaires, and track application status.

The portal standardized intake data before it entered the ATS, reducing manual cleanup and improving data quality. Candidate information flowed directly into internal systems, eliminating repetitive follow-ups and manual entry.

Candidate portal with document checklist
Candidate portal: structured document intake with live application status

Interview scheduling & workflow automation

We implemented automated scheduling logic that coordinated interview slots between recruiters, candidates, and clients. By integrating with calendar systems and workflow triggers, the system reduced manual back-and-forth and accelerated time-to-interview.

Interview slotting with drag-and-drop candidate assignment
Interview slotting: drag-and-drop candidate assignment across panels, clients, and time slots

Unified recruiter dashboard & KPI engine

We built a centralized recruiter performance dashboard consolidating data from JobDiva, SAP Fieldglass, and internal metrics. Leadership gained visibility into submissions, placements, time-to-fill, recruiter productivity, and pipeline velocity. Automated reporting replaced manual compilation.

Recruitment Analytics: client summary and pipeline KPIs
Recruitment Analytics: client summary, open roles, and aging across every active engagement
Recruitment Analytics: metrics overview by client
Metrics overview: open jobs, positions, interview stages, and days-open per client
Employee scorecard: individual recruiter performance
Employee scorecard: weekly targets, actuals, and weighted scoring for every recruiter
SLA governance scorecard
SLA governance: live coverage, timeliness, and gap tracking against each client's master SLA

AI-driven alerts & prioritization

An AI alerting engine analyzed open roles, candidate activity, and pipeline signals to flag high-priority jobs and opportunities. Recruiters were guided toward revenue-impacting roles first, significantly improving fill rates and reducing missed placements.

AI Recruiter job management
AI Recruiter: 2,100+ job postings managed, prioritized, and tracked in one place
Results

Not a dashboard, a full transformation

  • Automated candidate sourcing across ATS and external data sources
  • Reduced manual search and screening time
  • Accelerated interview scheduling cycles
  • Real-time recruiter KPI visibility
  • Reduced operational redundancy
  • Increased placement velocity and revenue growth

This was not just a reporting dashboard. It was a full AI transformation of Axiom's recruiting operations, modernizing sourcing, coordination, performance measurement, and decision-making across the organization.

Mohit Arora
CEO, Axiom Global Technologies
“Hear how the platform changed day-to-day recruiting at Axiom, straight from their CEO.”

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