A I QoD Empowering Enterprises A I QoD Empawering Enlerprisns ABOUT US AIQoD Founded in 2015 - Where Artificial Intelligence meets Quantum of Digital Transformation Mentored by Industry & Academia Stalwarts No-code Intelligent Information Management company with advanced capabilities based on Generative AI, ML, NLP, LLM, CV and Analytics 150 + years of team experience creating solution offerings for multiple Industry Verticals Vision "To make digital transformation affordable with guaranteed results for every enterprise" Empowering Enterprises OUR OFFERINGS WE TURN INFORMATION INTO ACTIONABLEINSIGHTS EXTRACT STORE ACTIONS INSIGHTS Multi-System Integration DMS Role and Permission No Code Analytical Studio OCRi based extraction Document Cataloguing Management Role based MIS Reports Text Classification, Image Queue and SLA Management Analytical Dashboards Unstructured data Segmentation & Object Detection Pre & Re-training Modules Automated Alerts & Face Detection and Matching Structured data store Exception and Error Handling Notification Data crawlers and scrapping Cloud storage options Data export Orchestrator WHY US?.. Best In Class No Code Platform Accuracy Do It Yourself(DIY) Digitized output from AIQoD is a cognitive data extraction, experience powered Ai/ML/NLP Bots various documents for management, and analytics platform that Smart Processing accelerates your digital transformation journey. Fastest Time to Flexible Reusable It leverages advanced Gen AI and ML Market Delivery Framework capabilities to deliver actionable insights Highest Straight Design your own for faster decision-making and automate Through processing processes with Drag data-driven decisions. ensuring quick ROI n Drop bots & USP AIQoD Empcwcring Encrprises IDP + IIP + TTM of 2 Scalable Bot No-Code EDM + Data weeks to 2 Architecture Design Studio Analytics months Unstructured/ OS/Device Cloud/On- Video/Image Multi-Lingual Independent Premise data extraction IDP -- Intelligent Document Processing IIP -- Intelligent Information Processing EDM -- Enterprise Data Management Artificial Intelligence O 1 3 X Data Insight Cognitive Computer Machine Neural Deep Natural Language Computing Vision Learning Networks Learning Processing Our Offerings AIQoD Empcwcring En:crprises Customer Onboarding Drawing Vectorization Medical Reports,ADR,Bills, InsuranceClaim Process P&IDtoBOMcreation Prescriptions Digitization Fraud Prevention Concessionrequest automation Sentiment analysis &Web scraping Document Digitization GiS Application for Asset Tracking Product &pricing data analytics and Work-order Execution HTA&evidence library INSURANCE ENGINEERING/UTILITY HEALTHCARE BANKING RETAIL INDUSTRYAGNOSTIC Remote KYC Procure to Pay process APAutomation Cheque Clearing VAT&Excise Filing Order Fall-Out Management Document Digitization QR&Barcode extraction Social Media management Loan Processing Order processing&Payment Ticket Management A/c Stmt.Generation &Dispatch Reconciliation. MISDashboard Account ClosureProcess Bank Reconciliation MIS dashboard No Code Design Studio Data Insight Action Cognitive Layer Cognitive Layer GI Documents Sociais Databases Website Structured Unstructured Big Data DMS Businss Rule Reconcilation X Applications Emails Portals Streaming Ciasaification Worktiow INSIGHTS Dat Enrtohmant API Connsotore Alert s Nootiont Bos,Uter.DM DATASOURCE DATALAKE Extract Store ACTIONS Extract Store Insights Action BBB DMS No Code Analytical Studio Role and Permission Management Multi-System Integration OCRi based extraction Document Cataloguing Role based MIS Reports Queue and SLA Management Text Classification,Image Unstructured data Analytical Dashboards Pre & Re-training Modules Structured data store Automated Alerts & Notification Exception and Error Handling Segmentation &Object Detection Face Detection and Matching Cloud storage options Orchestrator Data export Customers -- Representative List AIQoD Empcwcring En:crprises TATA savex S8 COMMUNICATIONS TECHNOLOGIES T PKC PANDORA ldeas to TATA g il Impacts WAZUN COUNCIL TATA POWER Dignitol Delphi-TVS Liberty S/CO Technologies Roche Insurance Es1995 CITY UNION BANK 3 KIRTANE 7 PANDIT CUB Access OUR AWARDS & ACHIEVEMENTS amazon INTEL KPMG LogiX (tics smbhav AIBUILDERS CLARION MEMBER CALLS.0 Top 15 Top 34 (Jan Top 250 (April Proud Partner of Winner (June Finalists (June 2022 ) 2022 ) Intel AI Builder (May 2022 ) 2021 ) (~500 (~2500 2022 ) (~1000 participants) participants) participants) A I QoD Empowering Enterprises Intelligent Document Processing (IDP) Document Processing with Gen AI AIQoD Empcwcring En:crprises Our GenAl Capabilities - 0000 AIQoD Gen AI Fusion: Our GenAI, blends AI, ML and NLP for intelligent data extraction and processing. Versatile Document t Handling: Effortlessly processes invoices, POs, contracts, and BGV documents. Customized Data Extraction: Capability to adapt diverse document formats, ensuring precise extraction. Efficiency and Scalability: Reduces processing time, minimizes errors, and scales seamlessly to IDP - Image Processing AIQoD Empcwcring En:crprises Image Deskew: Images sometime scanned a little crooked which results in errors while data extraction. INVOICE SAMPLE LOGU Image auto-rotation: Images sometime are scanned in a ecsiun different direction (vertical or landscape mode) which results in SWRtLn errors while data extraction. Image restoration: Hard Copies loose quality or the images are scanned noisy which is not readable by system. i Image cleanup: Hard Copies have stamps or other distortions on the data that has to be extracted which results in errors or inaccuracy due to data hidden behind the stamp. 10.000 Algorithms to removes large speckles from a document: Images have spots or patch of colors in it which makes it unreadable by system. 10.000 Remove positive and negative spots, smoothing edges: Images having bends or spots become difficult for bot to read. IDP -Differentiator AIQoD Empcwcring En:crprises Accuracy and training time. Multiple Sources & Formats V Reconciliation e.g. duplicates, Pre - Training Multi-Lingual Invoices PO Matching, Accuracy using Re - Training Higher Accuracy using inbuilt line level items, etc. V Real-time Dashboards, Reports ML based Tesseract Engine / Automated Validation using line and Exception Queues with and unique ML based data level extraction inbuilt Training Module interpreter using 90+ V Pre-training using historical parameters data within days Standardization across V Business Rule Validations geographies like Currency, Lookups, e.g. Vendors, Decimals, Date formats V Quality of document e.g. over/under payments Document Splitter to extract V Correlation-based data Watermarks, comments and specific pages from multi page annotations. standardization document set IDP - Capabilities AIQoD Empcwering En:crprises Documents Types Handled by AIQoD: Title Features PoA/Pol Documents Al-Powered OCR, AI, and ML algorithms to extract data from various Data document types to eliminate manual data entry. Application/KYC Forms Extraction NLP to understand meaning and context for interpretation and Contracts and Agreements to summarize verbose content. Image Image de-skew, auto-rotation, restoration, clean-up, algorithms Banking - Statements, Balance Sheets, P&L, etc. Processing to remove large speckles, remove positive and negative spots, Employment - Service Letters, Pay Slips, etc. and smoothing edges to make the image suitable for efficient OCR and best accuracy. Taxation - Forms, Tax Returns, etc. Intelligent ML algorithms along with document tagging to classify Healthcare - Medical Study, Lab Reports, etc. Document documents based on the content. Insurance - Forms, Policies, Declarations, etc. Classification Platform also uses document splitting, data masking in sensitive documents, document renaming for document Billing - Invoices, Purchase Orders, GRN, etc. classification. Logistics - BoL, PoD, Shipping Instructions, etc. Automated Al along with an in-built rule engine to automatically validate Data extracted data e.g. checking for inconsistencies or errors, Drawings - Engineering, Electrical, Civil, etc. Validation reducing the need for manual data validation. Automated Pre-training and Re-training to train custom machine learning 8 Training models with historical data within days Pr Models Document Sourc s Prediction/ ML algorithms to predict future trends based on historical data, Data AI/ML Output e Extraction Forecasting such as predicting fallout trends or identifying potential fraud, IDP Model Extended IDP Capabilities with GenAI AIQoD Empcwcring Encrprises Our Intelligent Document Processing (IDP) capabilities have been significantly enhanced with the Generative Al (GenAl). This powerful combination improves the efficiency and accuracy of our document processing solutions, providing advanced data extraction, and context-aware processing. The use cases for both IDP and GenAI document processing remain the same, ensuring seamless and intelligent handling of tasks such as s automated invoice processing, contract analysis, and customer r onboarding. With these enhancements, our IDP solution delivers greater A I QoD Empowering Enterprises Use Cases Procure to Pay - Summary AIQoD Enpuvet Eniepta Invoice Processing Operations Key Challenges Human Intervention Invoices received as a Batch-wise sorting is causes the accuracy to Multi-step complex data soft copy are printed fall and the time taken to done that doesn't add and then scanned for extraction process be more than industry any value data extraction standard Manual Upload in ERP No way to track Invoice Manual Review to cross- or financial systems, related information in reference with Vendor where it is checked real-time against Scanned Invoice Our Solution 18 Application Dashboard, File Extraction Advanced Image Seamless Integrator bot will Counter and through Multiple Processing Data Extraction Validation of upload data on Custom Detailed Channels, viz., Automatically with Rule Engine Invoice vs PO vs ERP or financial Reports to Emails, corrects images, to extract invoice data GRN sytems and manage Designated folders pdfs and validate it operations Solution Workflow - P2P Suppliers/ AIQoD Vendors Eipuvti Enepla Vendor/Supplier Selection Delivery Managers Warehouse Delivery Managers VR PO Invoice KAKAAKAR 1 Suppliers Delivery PR Invoice 2W Reconciliation between PO& : Note Quality Experts 3W Reconciliation Between PO,Invoice & Delivery Note Delivery Note KAM A IQoD Customer Customer PR Cring Entarl 8 3 Case Study - Procure to Pay Region - MEA We have implemented Gen Al based solution for invoice data extraction in both Arabic and English languages and Reconciliation for a government entity in the Middle East. High Level Solution Invoice retrieval from various sources, pdf splitting. .: Header & item level field extraction using OCRi module modeled with AI/ML algorithms. 60+ Business rules validation and data enrichment from Oracle ERP application. : API Based integration with Oracle ERP application. Notifications and Real-time dashboards for timely insights and actions. Automated workflows for efficient handling of exceptions. Key Takeaways EmpoweringEnterprises 3 EV 95% 85% 90% 100% 65% Accuracy Straight through Time Savings Customer Cost savings processing satisfaction Data > Insight > Action Case Study - Contract Digitization Region - APAC We have Implemented DigiLegal at Leading IT & Communication Tech company in accessibility, and improve overall efficiency in legal processes. APAC to digitizing Legal Document and streamline document management, enhance SMART CONTRACT High Level Solution . AIQoD Contract Digitization solution based on Gen Al addresses the issue of tracking and monitoring specific clauses, risks, contingencies, renewals, etc. for huge volumes of contracts by extracting data in a machine-readable format. More than 120 parameters extracted and stored for data analysis. 0101 Tracking and Monitoring of Contracts was time consuming and manual effort. 0011 AIQoD Key Takeaways Empowering Enterprises Increase in quality to 85+% Increase in Business Throughput, accuracy. timely renewals and manage risk and exposure. L More than 100K contracts with average size of 25 pages processed every year. Simplicity in the process of tracking Automated workflows for efficient and taking timely business handling of exceptions. decisions. Case Study - Bank MiS/Compliance Dashboard Region - India High Level Solution Data Extractor Bots to capture information from any source, typically from a core banking system Data available from multiple branches and Head office Report Configurator to create reports represented with Bar Chart, Pie Chart or Tabular Format Download in Excel or CSV Counter Report, Dashboard Report, Department Report Dashboards available to stakeholders within branch, head office or government officials based on security guidelines issued by bank Key Takeaways A IQoD 343.48 35318 G 343.48 ? 447.25 Empowering Enterprises 170.72 326 37542 478 TCEI t09 . 100% efforts saved as real time data is available without any manual collection, sorting and summarization. .: Short time for taking business decisions based on data . Dashboards available based on role of an employee in bank with high level of data security I Solution Workflow - MiS A IQoD Enpo nieptaa Solution can receive data from multiples sources & load/save data to Mid Level Senior Level Government multiple sources Bank Operations Regulators/RCS Management Management Officials Bank Hierarchy can be defined (e.g. National->State -> District) along with ETL Layer roles & access controls CBS/other Extract Transform Load: Extract data Excel/CSV Systems from CBS & additional systems, EIS Data Store transform & present in required report form i Print Report Studio can general dashboard 8 Reporting Engine & counter reports User Loan Report Customized Counter Department Store ATM Transaction Reports Dashboard Reports Reports Card Usage Reports AUME bered Predictve Customer Service Reports D Ming cablis Analtics anuaiai ols Management Reports Email Access 1. Top 10 branches by MIS Heports Procen Bots RiView Fiow DMS Managemert Asset Security Muii Dece/MumSem Rule Engine Nticatiun Bot Ofline Version 2. Profit Trend Conpatieitty Concession Request Automation A IQoD E High Level Solution Automated Missing Information Detection: Scans concession reports and identifies missing information submitted by vendors. Automated Vendor Communication: Automatically sends emails to vendors requesting missing details. Data Extraction: Extracts details from supporting documents (using OCR) and fills them into the concession request form. Reduced Manual Work: Eliminates the need for manual checking of reports and data entry. Streamlined Workflow: Adds complete reports to a queue for further downstream processing. 0 Key Takeaways 16 5 11 10 Faster Processing: Reduces overall processing time for concession Coumot Tihmi dnERN Mang grocesont Wedor requests. tequests Improved Accuracy: Minimizes manual errors by automating data extraction and population. 8 34 TrCoersan Reduced Manual Effort: Frees up employees from tedious tasks for Hegest Concession Request Automation - Workflow A IQoD Empaverin Cntartsss Scenario1: Concession Response Mail sent to Customer Task moves to Request Mail Form Vendor about sends missing Downstream from Vendor Checked for incomplete Information System Completion information Scenario 2: Complete Supporting Form sent to Documents to be Queue stored in Forum Pass Automation Bank Reconciliation AIQoD Enop High Level Solution Automated Login & Download: Bots can log in to internet banking, select period, download bank statement (Excel format). Intelligent Matching: System reads transaction details, matches with accounting ledger entries using machine learning. Keyword Mapping: Allows users to define keywords for matching transactions with potentially different terminology between bank statements and ledgers. Threshold-based Matching: Considers minor discrepancies (e.g., currency exchange) within a user-defined limit. Learning & Improvement: Machine learning helps the system learn from mappings and improve future matching accuracy, potentially eliminating manual intervention. Key Takeaways Enhanced Accuracy and Speed: Automation ensures 100% accurate reconciliation, eliminating manual errors and significantly speeding up the process. Continuous Learning and Improvement: The system's machine learning capabilities enhance its performance over time, reducing the need for user involvement in the mapping process. Scalability: The solution can handle reconciliation for multiple bank accounts and ledger entries across various Bank Reconciliation - Workflow A IQoD E Reconciliation Queue/Reports Bank Reconciled and Reconciliation Statement Unreconciled Platform Queue E Adjustment A I QoD Entries Empowsring Enteprises Reconciliation Bank Statement VAT Compliance Automation - Features A I QoD Egwing Enrpria Compliance Dashboards Tax Group and Multiple TRNs Easy to use one screen dashboard to review .Enterprise Organizational Hierarchy setup VAT Filing data : Seamless Tax filing at Tax Group level for : Drill down on various parameters and at various various entities under a tax group levels Permission based user access to various Sub One click raw data download for discrepancies W Organizations & Business functions & graphical and tabular representation of data Multi System Integration VAT Filing 3 .: Multiple Integration options ranging from manual : Auto Apportionment Calculation excel upload, to auto upload using desktop utility .One click Drill down for various sections AIQoD to real time open API integration and data download for analysis Easy one time setup to get any client onboard Auto Download and Reconciliation of Egcwving n.erpriaa A fully machine learning based Invoice import data MY VAT digitization solution .Approval Flow for OTA filing data Predefined rules to autocorrect and transform : Auto upload of VAT Filing data on OTA input data through state-of-the-art Rule engine Portal Bots checking all tax law violations and analysis sent on your e-mail without human intervention. Invoicing VAT Rules Validator Different types of VAT compatible Invoices Accuracy through in built VAT Rules Invoice Upload through Excel .: Categorization of Rule violations as warnings or Credit Note/Debit Note errors Advance Receipts/Payments System Error correction options Delivery Challan VAT Rule Configurator -- Define your own rules MY VAT Proposed Flow 0 ERP A I QoD Emgcwring Enrpriaa Scan Legacy ERP Invoice System Integrations S VAT 8 Upload VAT Invoices Validatio Customer Bank Portal VAT Filing Payment Single Sign In 103 x E03 through Bank Desktop Excel Utility Upload VAT 4S : TMS : Tax Management System Key Differentiators A I QoD Egcwing EnMrpri All in one 100 % Accurate Save Cost with Bots Multi Currency Smart DMS VAT Invoicing, Smart and up to date Tax Increase your efficiency Automatic sync up of Maintain Audit Records Accounting, Compliance Validation rules to avoid by 60% by automating currency exchange rates for up to 7 years as and Filing in a single tax Penalties your entire VAT from central bank website mandated by the statute platform powered by Compliance viz. machine learning and AI download/upload of VAT Return Filing by Bots 0 Alerts Build your own MIS Accessibility Cloud and Desktop 100 % Secure Latest updates on VAT Reporting engine capable 24 * 7 accessibility and Available as a platform Secure Data Storage and law, due date reminders, of generating any new Compatibility across on cloud as well as on Backup etc report within minutes multiple devices and Iocal server installation browsers and in multiple Co- Pilot AIQoD Empcwcring En:crprises We have implemented an GenAI-based co-pilot in our platform to handle queries on tasks, policies, and invoices, enhancing efficiency, accuracy, and user satisfaction while ensuring robustness and data privacy with regular updates for optimal performance. High Level Solution Natural Language Understanding: Co-Pilot excels in understanding and generating human-like text across diverse topics, including questions, explanations, and conversations. Language translation: With "Bhashini" implementation, users can now chat about policy-related queries in their preferred language, as it facilitates accurate and contextually relevant translations, enhancing communication across linguistic preferences. Context selection: In Co-Pilot, users can specify the context they want to query about, allowing the AI to provide information and responses relevant to that particular product. Quick response: Co-Pilot delivers rapid responses, leveraging its ability to process and generate text swiftly across various topics and queries. Voice chat: Users can query through both text input and voice commands with Co-Pilot, facilitating flexible interaction based on their preferred communication mode. Cp-plot Accuracy: Co-Pilot achieves an accuracy rate of 90% in its responses TS E Data Pre-processing dapseerndet son7ee Uploading Pre-processing of files: Data OCR: Extracting text from Data ingestion: Importing files/FAQs cleaning and standardization images or scanned documents data into system Co-pilot: For Text and formats CV ML AIQOD Empowering Enterprises 1 Shaping Tomorrow's Tech Landscape Today NLP Data Insight Action GEN THANK YOU! +91 888 850 0068 bd@aiqod.com www.aiqod.com You