ai casestudy

AI

Introduction

From Challenge to Transformation

Each case study presents a verified client engagement  the challenge defined, the DOT framework applied, and the outcomes quantified. Spanning Financial Services, Manufacturing, Healthcare, Technology,Energy, and Aviation, our Intelligence Loop Discover, Optimise, Transform, converts complexity into AI-powered competitive advantage.

Built on Agentic AI, Designed for Intelligent Enterprise Automation

Custom Solutions

Results Delivered

  • High accuracy in predicting equipment failures
  • Significant reduction in unplanned downtime
  • Lower maintenance costs and optimized resource allocation
  • Improved operational efficiency and equipment performance
  • Scalable solution supporting future digital expansion

Al-Driven Predictive Analysis

About:

A global manufacturing conglomerate sought to minimize downtime and maintenance costs by predicting equipment failures before they occurred. The goal was t o move from reactive t o proactive maintenance through automation and Al

Project Overview :

Frequent unplanned downtime and inefficient data usage were impacting productivity and decision-making. with a volume of 80,000 invoices per month (#10% and 1,000+ vendors registered on MSETU submitting retro invoices in different formats and templates. To address these issues, the enterprise partnered with DT-CoE t o develop an Al-powered predictive maintenance system capable of analyzing historical data, detecting anomalies, and forecasting potential failures in real time.

What we did :

  • Deployed machine learning models t o predict failures based on historical and external data.
  • Applied data analytics t o identify hidden patterns and performance trends.
  • Built interactive dashboards for real-time visibility and decision-making.
  • Automated data retrieval from multiple sources t o reduce manual effort.
  • Implemented anomaly detection and timestamp reconciliation for accurate insights.

Results Delivered

  • Enhanced safety awareness and user engagement across 30,000+ employees
  • Real-time query resolution with up to 98% response accuracy.
  • Analyzed 1M+ safety records across three years.
  • Reduced manual analysis time by 70%.
  • Scalable and secure on-premise deployment with Azure integration

Al-Powered ESG Assistant for Enhanced Safety and Compliance

About:

A leading manufacturing enterprise adopted DOT's Generative Al-powered ESG Assistant to automate safety query handling, improve awareness of safety protocols, and ensure proactive compliance across its operations.

Project Overview :

The organization sought to enhance workplace safety and operational efficiency and operational efficiency across 30,000+ employees through Al-driven automation, through Al-driven automation. The manual process of accessing and understanding safety standards led to fragmented communication and low awareness. DOT deployed an Al ESG Assistant trained on internal safety documentation, enabling employees to instantly access relevant policies, procedures, and safety insights across multiple communication channels-promoting a culture of safety and compliance

What we did :

  • Developed an AI ESG Assistant trained on 40+ safety documents.
  • Enabled multi-channel access through WhatsApp, Teams, and Web chat.
  • Integrated with HRMS (SSO) for seamless user authentication.
  • Implemented NLP and Generative Al for contextual and multilingual responses.
  • Created analytics dashboards for tracking user engagement and query patterns.
  • Configured escalation management for complex or unresolved queries.

Customer Service

Results Delivered

  • Faster decision-making through realtime insight generation.
  • Improved forecast accuracy with Alpowered analysis
  • Significant reduction in manual data processing time
  • Better business performance through data-driven strategy execution
  • Enhanced visibility into market trends and customer sentiment

Empowering Data-Driven Decisions with the DOT AI

About:

A global telecommunications enterprise wanted to transform its marketing operations by automating data analysis and improving decision-making speed across regions.

Project Overview :

Manual data collection from multiple sources-social media, news, and machine logs-made it difficult to generate timely insights or predict market trends. The enterprise adopted the DOT Al Marketing Analyst to automate data aggregation, analysis, and forecasting for smarter, faster business decisions.

What we did :

  • Automated data collection and analysis from multiple channels, including social media, mobile, and machine logs.
  • Enabled real-time analytics dashboards for trend monitoring and performance tracking.
  • Deployed Al-driven forecasting using SWOT and sentiment analysis.
  • Streamlined marketing decision-making through automated insight generation and reporting.
  • Enhanced the execution of data-driven strategies across global teams.

Finance

Results Delivered

  • 96% accuracy in data extraction.
  • 1000+ person-days saved per month.
  • 100,000+ invoices processed monthly.
  • Live in 8 weeks
  • Enhanced vendor relationships with a more transparent, streamlined AP process.
  • Zero manual errors with real-time monitoring and automation.

A Leading Manufacturing Conglomerate Transforms Its Accounts

About:

A leading automotive manufacturing company that produces SUVs, EVs, pick-ups, large commercial vehicles, small commercial vehicles, and small utility vehicles.

Project Overview :

The company was facing challenges in its Accounts Payable (AP) process, which involved manual data entry, invoice processing, and vendor servicing across 6000+ suppliers, processing 100,000+ invoices monthly. The process was time-consuming, error-prone, and inefficient, leading to poor vendor experiences and reduced productivity.

What we did :

  • Enabled template-free invoice data extraction from multiple formats (PDF, JPEG).
  • Built a consolidated view for vendors to validate extracted fields.
  • Automated real-time process verification and validation of invoices.
  • Implemented auto-entry of validated data into the ERP for ASN generation.
  • Enabled automated status updates for vendors to track invoice progress.
  • Added omnichannel integration (web and mobile) for approvals and process.
  • Capture Good Delivery Note and validate and input into ERP

HR

Results Delivered

  • 56% reduction in time spent on HR requests and queries.
  • 90% increase in employee engagement with HR.
  • 22% improvement in overall HR efficiency and response time.
  • Faster access to company policies and reports, enhancing employee satisfaction.

Revolutionizing HR Operations with Al Automation

About:

One of the world's largest IT services enterprises was struggling to manage employee support and HR operations efficiently. The HR department sperit excessive time on routine tasks like attendance tracking, policy clarifications, and query handling.

Project Overview :

The HR team faced challenges in managing high volumes of employee queries, claims, and policy requests. With no centralized, interactive system, response times were slow, and manual processes caused delays in leave and attendance management, policy sharing, and reporting.
To address these inefficiencies, the company deployed the DOTAI HR Operations Executive - an Al-powered digital assistant designed to automate HR support, streamline processes, and enhance employee experience

What we did :

  • Enabled chat-based HR query resolution for policies, attendance, leave, holidays, grievances, and talent management.
  • Introduced smart digital forms to automate employee requests and internal transactions.
  • Integrated with MIS engine for instant report generation and analytics.
  • Automated KYC updates to ensure compliance and prevent fraud.
  • Provided real-time performance insights through continuous analytics.
  • Implemented auto-assigned queues for every transaction to improve turnaround and reliability.

Results Delivered

  • 70% reduction in onboarding turnaround time.
  • 60% less manual HR effort and improved process visibility.
  • 98% straight-through accuracy in document processing.
  • Monthly onboarding volume: 1,500-2,500 joiners.
  • Enhanced candidate experience through instant and personalized support.
  • Omnichannel onboarding automation aligning with InCred's digital vision.

Employee Onboarding Assistant for a Leading Financial Enterprise

About:

A leading manufacturing enterprise needed a faster, more unified way for employees to access HR systems, policies, and support. Manual handling of queries around travel, compliance, and benefits was slowing productivity.

What we did :

  • Integrated 40+ policy documents and systems like SAP SuccessFactors, BMC Remedy, and Freshdesk
  • Automated ticket creation and category allocation via Al bots
  • Enabled self-service access for policies, travel, payroll, and claims
  • Connected 45 APIs for seamless transactions
  • Delivered access across desktop, mobile, and MS Teams
  • Provided dashboards for real-time HR analytics

Marketing

Results Delivered

  • 3,000+ invoices processed monthly with minimal manual intervention.
  • 60% reduction in manual processing time per invoice.
  • 90%+ extraction accuracy even for low-quality data inputs.
  • 30–40% reduction in AP operational costs.
  • Faster vendor payments and improved supplier relationships.
  • 40% finance capacity redirected from transactional tasks to analytics.

Revolutionizing Accounts Payable for a Leading FMCG Enterprise with AI Automation

About:

A leading Fast-Moving Consumer Goods (FMCG) enterprise, operating at scale with thousands of invoices processed every month across its nationwide supply chain.

Project Overview :

The company’s Accounts Payable (AP) operations were under severe strain due to unreliable OCR performance on dot-matrix invoices, lack of audit trails, multi-channel chaos (email, Excel, web uploads), and frequent manual tax calculation errors. Vendor payment delays led to disputes, creating friction with suppliers and compliance risks.Handling 3,000+ invoices processed monthly manually was a major challenge, causing delays and errors. To modernize operations, the company partnered with Neil – the AI Accounts Payable Executive to transform its AP process end-to-end.

What we did :

  • Smarter Invoice Handling: Managed dot-matrix invoices via structured Excel and unified Gmail + web uploads.
  • Automated Tax & Error Checks: Auto-split IGST, fixed errors, and allowed partial Excel processing.
  • Seamless ERP Integration: Sent validated data directly to the company’s portal through APIs.
  • AI Support & Training: Added AI assistant for FAQs and trained warehouse teams for adoption.
  • Full Audit Control: Linked every data point back to its source document for compliance.

Results Delivered

  • 95% reduction in service costs.
  • Query resolution time cut from 48 hours to seconds.
  • Tickets reduced from 38 to 2 per 1,000 transactions.
  • Round-the-clock intelligent support with zero manual intervention.
  • Handling volumes over 700,000 daily transactions.

Revolutionizing Customer Support with AI: A Journey to Efficiency and Excellence

About:

A leading payments platform transformed its customer service operations with DOT Al-powered automation-achieving faster query resolutions, lower costs, and improved customer satisfaction.

Project Overview :

Handling over 700,000 daily transactions led to high query volumes and 20,000+ support tickets per day. The customer service process was manual and dependent on outsourced teams, causing delays and inefficiencies. DOT deployed an Al Customer Care Executive that automated responses, integrated with existing systems, and delivered logical, personalized support in real time

What we did :

  • Deployed an Al Customer Care Executive powered b DOT's cognitive automation.
  • Integrated Al with databases for real-time query resolution.
  • Automated ticket creation, categorization, and escalation.
  • Enabled multi-channel support across app and email.
  • Replaced manual and outsourced processes with in-house Al automation.