O.R.I.O.N.

Optimized Recruitment Intelligence & Organizational Network

The Future of Talent Acquisition is Here.

View Metrics

Human Intelligence vs. O.R.I.O.N. Core

📉
85%
Cost Reduction
10x
Faster Hiring
🎯
99%
Matching Accuracy
😊
4.8/5
Candidate Experience

Traditional Process

  • Time to Hire: 30-45 Days
  • 📉 Screening Capacity: ~20 Resumes/Day
  • 📞 Initial Screening: Manual Phone Tag
  • ⚠️ Bias Risk: Medium-High
  • 💸 Cost Per Hire: High (Agency Fees)
VS

O.R.I.O.N. Solution

  • 🚀 Time to Hire: 7-10 Days
  • 📈 Screening Capacity: ~1000+ Resumes/Min
  • 🤖 Initial Screening: Instant Retell AI Agents
  • 🛡️ Bias Risk: Near Zero (Data Driven)
  • 💰 Cost Per Hire: Reduced by ~60%

Core Modules

01. Intelligent JD Creation

Traditional JD creation is manual, inconsistent, and slow. O.R.I.O.N. uses Appian AI to generate comprehensive Job Descriptions from basic details instantly.

2 Days Manual Avg.
2 Mins O.R.I.O.N.
99.9%
Time Saved

02. Fit Find Engine

Upload resumes in bulk. Appian AI analyzes each candidate against the created JD, providing a fit score and highlighting key skills automatically.

  • Analysis of thousands of resumes in seconds.
  • Context-aware skill matching.
  • Automated ranking and shortlisting.

03. Retell AI Screening

Appian logic triggers Retell AI to conduct initial voice screenings.
Key Differentiator: Knowledge Base Integration allows the AI to ask job-specific questions.

🔗 Appian Trigger: Initiates call flow based on candidate status.
🧠 Knowledge Base: AI accesses specific job data to ask relevant technical questions.
📝 Appian Review: Transcripts & AI Scores synced back to Appian for recruiter approval/rejection.
🎙️
KB Active: "Java Senior Dev"

"Based on your resume, how do you handle threading?"

"I use the ExecutorService framework..."

AI Score: 92/100 Recommended

System Architecture

Comprehensive architecture overview of the O.R.I.O.N. ecosystem and its integrated components.

🎙️ Retell AI Architecture

Voice AI screening infrastructure with NLP and telephony integrations

Retell AI Architecture Diagram
🔄 Outbound Call Scheduler
🤖 Agent Orchestration Engine
📞 Voice Gateway & Telephony
🗄️ CRM & Database Integration

⚙️ Appian Platform Architecture

Low-code application platform with AI/ML services and enterprise integrations

Appian Architecture Diagram
🌐 Multi-Channel User Interface
🔧 Application Server Tier
🧠 AI & ML Services Layer
🔗 Storage & Integrations

Integration Flow

1

Appian Orchestration

Manages job descriptions, candidate data, and triggers AI workflows

2

API Communication

Secure bidirectional data exchange between platforms

3

Retell AI Processing

Voice screening with NLP, transcription, and scoring

4

Human Review

Recruiters review AI outputs and make final decisions

AI Compliance & Governance

O.R.I.O.N. is built on ethical AI principles, ensuring transparency, fairness, and data protection at every step.

🤖

AI Role

  • Assessment assistant only (L1)
  • No selection or rejection
  • Final decision: Human (L2)
👁️

Candidate Transparency

  • Clear consent: AI voice assistant, L1 purpose, call recording
  • Mandatory disclosure at call start (TRAI-safe)
🎯

L1 Scope (Allowed)

  • Qualifications & experience
  • Skill validation
  • Availability
  • High-level role understanding
🚪

Opt-Out & Escalation

  • Commands: Stop / Human / Not comfortable
  • Immediate exit or recruiter handoff
  • Opt-out persisted (no re-calls)
🔒

Data Protection

  • Job-relevant data only
  • No Aadhaar, PAN, DOB, family, health, religion, caste
  • Secure storage, encrypted transcripts
  • Defined retention (e.g., 90 days), delete post decision
⚖️

Fairness & Oversight

  • Same questions per role
  • No accent or language bias penalties
  • No automated rejection
  • AI outputs: structured summary, confidence signals, human review flags

✓ AI Governance Framework

AI deployed strictly as L1 assessment assistant
No automated candidate selection or rejection
All final hiring decisions are human-led (L2)
Clear, explicit consent captured
Mandatory disclosure at call start (TRAI-safe)
AI restricted to allowed L1 topics only
Opt-out supported at any time
Only job-relevant data collected
Prohibited personal data fully blocked
Secure storage with encrypted transcripts
Defined retention policy with post-decision deletion
Standardized questions enforced per role
Bias mitigation controls in place
AI outputs limited to structured summaries
🇮🇳
DPDP Act Compliance

Aligned with India's Digital Personal Data Protection Act

📞
TRAI Guidelines

Full disclosure & opt-out at call start

👤
Human-in-the-Loop

All decisions reviewed and approved by recruiters