Intellect Design Arena Ltd · NSE:INTELLECT

Intellect Design Arena — Anand Rathi Securities Investor Conference on AI (February 2025)

17 slides from Intellect Design Arena's conference presentation, Feb 6, 2025

1. Slide 1: Exchange filing cover letter: Purple Fabric at Anand Rathi Securities Conference

   Intellect/SEC/2024-25 February 06, 2025 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 BSE Limited Scrip Code: 1st Floor, New Trade Ring, Rotunda Building, 538835 PJ Towers, Dalal S

2. Slide 2: The Multi-Agent AI Platform for Enterprise Operations Transformation

   The Multi-Agent AI Platform for Enterprise Operations Transformation

3. 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- Personalisation Customer Satisfaction Enhanced Risk and Compliance © 2024, Intellect Design Arena Limited. All rights reserved. These mat

4. 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

5. 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

6. 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 (S

7. 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

8. Slide 8: Complaints/Claims is a universal problem. The TAM for complaints 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

9. 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

10. 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

11. Slide 11: Complaint Details Extraction Logging Coordination: Yesterday Process

    Team & FTE* Capacity/wk* Yesterday Process CASE LOGGING Manual 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

12. Slide 12: Team Structure of the Complaints Investigation Multi-Agent Solution

    Team Structure of the Complaints Investigation Multi-Agent Solution Complaints Manager 1) It tracks incoming complaints, Complaint Human in the Loop 2) Understands and classifies them, 3) Creates a case dossier, Complaint Evidence Complaints Report 4) Runs a investigation, and Details Gathering Inve

13. Slide 13: 5 weeks to 20 minutes

    Team Structure of the Complaints Investigation Multi-Agent Solution Complaints Manager 5 weeks Complaint Human in the Loop Complaint → Details Extractor Evidence Gathering Complaints Investigation Report Writing 20 Minutes Complaint Logger Verification Customer Operational Satisfaction Efficiency Cl

14. 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 ~700

15. 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

16. Slide 16: Other operations transformation 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 80%+ increase In duplicates & Discrepancies In Operational Efficiency Trade Finance 50% reduction

17. Slide 17: Intellect

    intellect your dream Blive 2 i a) <q Un

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