Stories in AI/ML

Two AI-powered solutions were developed to automate academic tasks: Question Paper Generation System Answer sheet Evaluation Platform These systems were designed to reduce manual workload, improve accuracy, and offer customization for educators, streamlining academic workflows with AI integration.

A machinery manufacturer struggled with users navigating extensive help documentation for operating complex control panels. A Generative AI-based chatbot was created to deliver intelligent, context-aware assistance directly to end users.

An AI-powered video intelligence solution that automates the extraction of high-value moments from long-form content and converts them into short, platform-ready reels. By leveraging speech recognition, NLP, and video analysis, the system enables scalable content repurposing with minimal manual intervention. 

In our experience, not every data need fits neatly into a dashboard or report. There are times when someone just wants a quick answer—maybe it’s a yearly forecast, a one-off analysis, or a spontaneous question that comes up during a meeting. Building a report for these rare or ad hoc queries often doesn't make sense. It takes time, resources, and by the time it's ready, the moment might have passed. This is where we saw an opportunity. Instead of relying solely on traditional reporting tools, we introduced a solution powered by Natural Language Processing (NLP) and AI/ML. The idea was simple: let people ask questions in plain language and get answers—without needing a new report, custom UI, or deep technical knowledge. Whether the data lives in a simple table or a complex backend with multiple relationships, the system figures it out and responds in real time. This approach has helped us bridge the gap between technical complexity and business agility—giving users a much more natural way to work with data.

A leading medical insurance firm was grappling with the overwhelming volume of documents being submitted by hospitals daily. These included patient invoices, discharge summaries, diagnostic reports, prescriptions, and other supporting materials. The manual process of reviewing these documents and generating a consolidated summary to be shared back with the respective hospitals was time-consuming, error-prone, and resource-intensive. In response to this bottleneck, our team developed and implemented a robust AI/ML-based document processing and summarization solution. The goal was to automate the ingestion, understanding, and summarization of a variety of structured and unstructured medical documents.

An insurance company processing cashless claims faced delays due to large volumes of documents—medical reports, invoices, and summaries. An AI automation solution was implemented to streamline document handling, improve accuracy, and reduce processing time.

Organizations relying on static reports often struggle with flexibility and response speed. To empower business users, a Natural Language Processing (NLP)-powered self-service analytics layer was built, allowing users to type plain-English questions and get instant data insights.

A global call center required a data-driven approach to evaluate agent performance and understand customer sentiment. Manual reviews were inconsistent and time-consuming. An AI-powered sentiment analytics system was developed to automate evaluation using call transcripts.

A chemical manufacturing firm required a safe, accurate, and timely method to monitor its boilers and equipment. Manual inspections were time-consuming and risky. A drone-based predictive maintenance system powered by AI image analysis was implemented.

HR departments often face a high volume of repetitive queries related to policies, benefits, and compliance. To improve efficiency, an AI-powered HR Assistant chatbot was deployed to automate responses and streamline HR interactions.

An education technology company offering multiple courses online wanted to simplify how students accessed course information. To improve student engagement, an AI chatbot was built to provide real-time, personalized course recommendations based on user queries.

A business consulting firm specializing in guiding aspiring entrepreneurs sought to enhance its digital advisory capabilities. The objective was to provide real-time, scalable business guidance to website visitors without increasing dependency on human consultants. To address this, an AI-powered conversational bot was developed that enables users to interact through voice and receive responses via speech, enhanced with a live avatar interface. The solution was embedded within the client’s website, allowing users to explore business opportunities and receive structured startup guidance interactively.

An AI-powered Copilot Studio agent was developed to streamline CRM data entry and record management processes. The objective was to assist users in accurately filling CRM records by providing real-time guidance based on organizational guidelines and live customer data. The agent was integrated with the client’s CRM system and trained on internal guideline documents, enabling it to deliver contextual recommendations while users created or updated records.

A US-based corporate law firm was spending more than 30 hours every week manually reviewing vendor and partnership contracts. Associates were extracting clauses, flagging risks, and comparing language against internal templates by hand. The process was inconsistent, created bottlenecks before every procurement and M&A cycle, and had already led to missed liability clauses resulting in costly disputes. Inkey Solutions built a four-agent AI pipeline that automated the entire review process end to end, reducing per-contract review time to under 45 minutes with full clause coverage on every document.

An AI-powered Podcast & Meeting Intelligence Platform was developed to transform unstructured audio content into actionable insights for media and enterprise use cases. The platform automates the entire lifecycle of audio processing - from transcription to insight extraction - enabling organizations to efficiently manage and utilize their recorded knowledge assets.

In modern organizations, HR departments often face a high volume of repetitive queries related to company policies, benefits, leave applications, and compliance. To streamline HR operations and improve response efficiency, an AI-powered HR Assistant chatbot was developed. This chatbot leverages advanced AI technologies to provide instant, accurate, and consistent responses to employee queries, reducing the workload on HR teams. It is available 24/7