Case Studies

Agentic AI Enterprise Solutions

Real-world success stories showcasing measurable business impact through intelligent AI automation

Case Study 1
Electronics Trading - EMS Supply Chain

SDR Automation

Indian Electronics Parts Trading Company for EMS companies in Australia, Vietnam, Thailand and Indonesia

Challenge

Manual lead generation scalability with 2-person SDR team processing only 150-160 leads monthly, securing 8-10 qualified meetings with inconsistent personalization.

Key Problems:

  • Manual LinkedIn research: 30 minutes per prospect
  • Inconsistent follow-up sequences
  • Couldn't scale beyond 80 leads/month/SDR without hiring more SDRs ($400-$600 each/month)

Implementation

Automated prospecting workflows
Personalized email sequences (7-day & 15-day follow-ups)
Calendar integration for booking
CRM Integration for lead management
AI-powered personalization

Results (90 Days)

Lead Processing Volume
150/month400/month
+167%
Meeting Bookings
8/month24/month
+300%
Response Rate
8%22%
+175%
Time per Prospect
45 mins2 mins
95% reduction
Team Efficiency
2 SDRsEfficiency of 5 SDRs
2.5x productivity

Financial Impact

$1,000
One-time Setup
200%
Ongoing ROI
3x per month
Pipeline Growth

ROI Timeline:

Month 1:

Break even

Month 2+:

200% returns

Quarterly:

160% ROI

Key Success Factors

AI-driven personalization boosted engagement
Automated follow-ups prevented drop-offs
Streamlined calendar bookings
Case Study 2
Ecommerce - Infrastructure Management

ITOps Automation

Ecommerce Company with 22 servers in GCP

Challenge

Server CPU spikes were generating excessive alert noise, making it difficult to identify truly anomalous events that required immediate attention versus normal daily/weekly patterns.

Key Problems:

  • 80% of server alerts were false positives from normal traffic patterns
  • DevOps team spending 60% of time on alert triage instead of strategic work
  • MTTR was high due to manual investigation and remediation processes

Implementation

AI-powered anomaly detection for server metrics
Pattern recognition for daily/weekly traffic cycles
Automated remediation using Ansible playbooks
Intelligent alert filtering and prioritization
Automated server reboots, service restarts, and process management
Dynamic swap allocation and memory optimization

Results (90 Days)

Alert Noise Reduction
100 alerts/day20 alerts/day
80% reduction
MTTR (Mean Time to Recovery)
45 minutes25 minutes
45% reduction
DevOps Focus Time
40% strategic85% strategic
+112%
False Positive Rate
80%15%
81% reduction
Automated Resolutions
0%70%
70% automation

Financial Impact

$10,000
One-time Setup
300%
Ongoing ROI
Saved 1 DevOps FTE
Pipeline Growth

ROI Timeline:

Month 1:

Break even in 4 months

Month 2+:

300% returns

Quarterly:

250% ROI

Key Success Factors

Machine learning accurately distinguished real anomalies from patterns
Ansible automation reduced manual intervention by 70%
Proactive memory management prevented server crashes
Case Study 3
Corporate Services - Knowledge Management

Multilingual Voice Assistant for Document Search

Large UAE Establishment

Challenge

UAE company needed an English and Arabic voice assistant for employees to access policies and financial statements efficiently. Employees required local language support for voice inquiries about company policies, financial statement analysis, and automated email summaries of conversations.

Key Problems:

  • Manual document search taking 15-20 minutes per policy inquiry
  • Language barriers preventing efficient access to English documents
  • Financial statement analysis requiring specialized expertise
  • No centralized system for policy inquiries and knowledge sharing

Implementation

Multilingual voice AI supporting English and Arabic
Document indexing and semantic search for policies
Financial statement analysis with anomaly detection
Automated email summaries of voice conversations
Text chat support as backup communication channel
Key highlights extraction and summarization engine

Results (90 Days)

Document Search Time
15-20 mins2-3 mins
85% reduction
Policy Inquiry Resolution
24-48 hoursReal-time
Instant access
Language Accessibility
English onlyEnglish + Arabic
100% bilingual
Financial Analysis Speed
2-3 days30 minutes
95% faster

Financial Impact

Free PoC
One-time Setup
Improved financial analysis efficiency
Ongoing ROI
Faster document search time
Pipeline Growth

ROI Timeline:

Month 1:

ROI through faster document search

Month 2+:

Improved financial analysis efficiency returns

Quarterly:

Enhanced knowledge accessibility ROI

Key Success Factors

Native Arabic language processing improved employee adoption
Automated email summaries ensured knowledge retention
Financial anomaly detection provided early risk warnings

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