Intellect Design Arena Ltd · NSE:INTELLECT
Intellect Design Arena — Investor Presentation (December 2024)
17 slides from Intellect Design Arena's investor presentation, Dec 19, 2024
Slide 1: Regulation 30 intimation to NSE and BSE
Intellect/SEC/2024-25 December 19, 2024 1. National Stock Exchange of India Limited, Scrip Symbol : Exchange Plaza, 5th Floor, Plot No. C/1, G Block, INTELLECT Bandra Kurla Complex, Bandra (E), Mumbai – 400 051. 2. BSE Limited, Scrip Code : 1st Floor, New Trade Ring, Rotunda Building, PJ Towers, 538
Slide 2: The Multi-Agent AI Platform for Enterprise Operations Transformation
The Multi-Agent AI Platform for Enterprise Operations Transformation
Slide 3: The TAM for Purple Fabric is enormous
The TAM for Purple Fabric is enormous BFSI Total Costs Incurred IT costs : 11% - 17% Middle / Back office costs : 40% - 46% New opportunity Space Improved Hyper- Enhanced Risk + Personalisation Customer Satisfaction and Compliance © 2024, Intellect Design Arena Limited. All rights reserved. These ma
Slide 4: AI Expert Agents are the gig workers of the knowledge economy
AI Expert Agents are the gig workers of the knowledge economy = + + Expert Agent AI (LLM) Memory Tools © 2024, Intellect Design Arena Limited. All rights reserved. These materials are confidential and proprietary to Intellect and no part of these materials should be reproduced, published in any form
Slide 5: They form the base unit for operational transformation - a digital twin of operations specialists
They form the base unit for operational transformation - a digital twin of operations specialists IQ EQ AQ (Intelligence Quotient) (Emotional Quotient) (Action Quotient) Language understanding Contextual Awareness Tool usage Memory Empathy e-mail Calendar Knowledge Synthesis Adaptability Web search
Slide 6: Purple Fabric Leverages the best of Thinking & Doing Brain
Purple Fabric Leverages the best of Thinking & Doing Brain to deliver Customer Desirability THINKING BRAIN 3. Knowledge from Enterprise’s Policies & Purple Fabric Practices 1. Knowledge from Enterprise’s Structured Data Data Ingestion Contextual Classification Trusted Data DOING 4. Knowledge BRAIN (
Slide 7: Demo & Case Study: Claims Investigation
Demo & Case Study: CLAIMS INVESTIGATION For a large financial service firm in UK In production multi-agent system for claims investigation & redressal. 6
Slide 8: Complaints/Claims is a universal problem. The TAM in the UK is enormous
Complaints/Claims is a universal problem. The TAM for complaints in the UK itself is enormous. © 2024, Intellect Design Arena Limited. All rights reserved. These materials are confidential and proprietary to Intellect and no part of these materials should be reproduced, published in any form by any
Slide 9: Claims investigation is a slow and manual process
Claims investigation (Wealth Advisory) is a slow and manual process, with <30% of cases being resolved within SLA timelines 10,000+ 50+ days 30% cases Active cases in 2024 average time to close a claim Resolved within SLA timelines +700 Receipts per week ~130 cases closed a week © 2024, Intellect De
Slide 10: Why is this such a difficult process?
Why is this such a difficult process? Data gathering Investigation Claims Report Creation ● 10+ Systems to ● No standardised ● Complexity and time interact with and get rubric to determine to inference from dozens of entities result (Especially for document extracted Advice) investigation, and the r
Slide 11: Yesterday process: manual complaint handling by team and FTE
Team & FTE* Capacity/wk* Yesterday Process CASE Manual LOGGING Complaint Details Extraction ~400 (5-10 FTE) Digital Logging TRIAGE Manual Coordination ~400 (5-10 FTE) Manual Verification Data Manual Classification Gathering ~700 (50-100 FTE) Manual Evidence Gathering (10+ systems) Manual Investigati
Slide 12: Team Structure of the Complaints Investigation Multi-Agent Solution
Team Structure of the Complaints Investigation Multi-Agent Solution Complaints Manager Complaint Human in the Loop 1) It tracks incoming complaints, 2) Understands and classifies them, 3) Creates a case dossier, Complaint Evidence Complaints Report Details Gathering Investigation Writing 4) Runs a i
Slide 13: 5 weeks to 20 Minutes
Team Structure of the Complaints Investigation Multi-Agent Solution Complaints Manager Complaint Human in the Loop 5 weeks Complaint Evidence Complaints Report → Details Gathering Investigation Writing Extractor 20 Minutes Complaint Logger Verification Customer Operational Satisfaction Efficiency Cl
Slide 14: Target state process with AI agents
Target State Target State Today Process Team & FTE Capacity/wk CASE LOGGING AI Agent Manual Complaint Details Extraction ∞ ~400 0 FTE) (5-10 AI Agent Digital Logging TRIAGE AI Agent Manual Coordination ∞ ~400 (5-100 FTE) AI Agent Manual Verification Data AI Agent Manual Classification Gathering ∞ ~7
Slide 15: Claims is just one example of operations transformation using multi-agent systems
And claims is just one example of operations transformation using multi-agent systems 14
Slide 16: Other use cases and results
Magic Submission 87% 50% Faster Intake Lower Cost ESG EDGE: Non-Financial 50,000+ specialist years saved / year Corporate Intelligence 9000 portfolio companies, 10 million+ documents iAPX 98% Reduction 3x ROI / 100% Invoices In duplicates & Discrepancies by checking 100% of invoices Trade Finance 50
Slide 17: Intellect Purple Fabric
intellect FABRIC
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