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Capabilities

Intelligent Workflows &
Process Automation

We design, train, and build custom AI models, document processing engines, and automated workflow pipelines that eliminate operational friction and slash hours of manual work.

Attendance Engine FEMA AI Citation Form FC PPT Compiler Form FLA
Up to 90%
Time Saved
-70%
Operational Cost
100%
Citation Accuracy

Active Automations & Case Studies

Lightweight HR & Employee Attendance Engine

HR Automation

The Challenge

Hiring dedicated HR staff or paying expensive recurring licenses for bulky employee management (ERP) software is cost-prohibitive for growing small businesses who just need to track attendance, work hours, and leaves.

The Solution

We deployed a lightweight, localized server tracking attendance and hours using existing communication apps and security cameras, feeding data into an interactive glassmorphic dashboard.

Technical Execution & Architecture

  • Integrated with the WhatsApp Business API to allow employees to easily submit leave requests and punch-in via coordinates or messaging.
  • Designed camera feeds using lightweight facial detection algorithms to automatically track log-in and log-out stamps in real time.
  • Aggregated leaves, daily logs, and work hours in an interactive server dashboard, reducing administrative software costs by 70%.
WhatsApp API Facial Recognition APIs Attendance Dashboard SQLite Engine Cost Saved: 70%

FEMA Laws AI Citation Tool

AI Integration

The Challenge

Foreign Exchange Management Act (FEMA) laws are vast, complex, and update frequently. Legal professionals, auditors, and CA firms waste massive amounts of research time navigating through lakhs of pages of legal documentation for every new client query or compliance case.

The Solution

We developed an autonomous, self-learning, and self-updating FEMA Laws AI agent. By parsing regulatory updates in real time, the tool builds a linked semantic graph, providing professionals with precise legal advice accompanied by strict, verifiable citations.

Technical Execution & Architecture

  • Utilized LLMs integrated with a semantic Retrieval-Augmented Generation (RAG) pipeline to query complex foreign exchange laws.
  • Leveraged Obsidian's linking structure to build a framework connecting different acts, circulars, and notifications, establishing clear context.
  • Programmed the AI to trace its logic and answer professionals with precise citations (Act, Section, Rule, Notification number), reducing research time by 70%.
LLMs Obsidian Framework RAG Pipeline NLP Semantic Graph Research Reduction: 70%

FEMA Form FC Automation Tool

Form Processing

The Challenge

Filing Foreign Collaboration (Form FC) compliance reports involves manually transcribing client case files, banking advisories, and foreign transaction histories. This is highly repetitive, takes hours per client, and is subject to filing errors.

The Solution

We created an intelligent Form FC pre-filler. The tool reads unstructured client documentation, identifies relevant transaction details, extracts the legally required values, and auto-generates the Form FC submission file.

Technical Execution & Architecture

  • Designed an automated parser that processes historical filled forms to learn formatting patterns and data mapping criteria.
  • Integrated a legal parsing engine that extracts transaction values, bank codes, and company details directly from client case uploads.
  • Automatically maps data fields into Form FC structures, saving 80% of manual processing time. The professional only reviews and rectifies details.
Form Parsing OCR Document Reading FEMA RAG Linking Python Processing Time Saved: 80%

Corporate PPT Design Compiler

Layout Compiler

The Challenge

Creating professional, structured presentations (like board decks or financial summaries) is tedious and time-consuming. Standard AI chatbots fail to output presentations in exact corporate templates, breaking layouts, color rules, and font hierarchies.

The Solution

We engineered a dedicated layout compiler that takes text content, maps it to pre-defined corporate layout parameters, and generates fully designed, pixel-perfect PowerPoint presentations in seconds.

Technical Execution & Architecture

  • Coded a structural presentation generator using `python-pptx`, enforcing absolute slide dimensions, margins, and placement coordinates.
  • Trained layout mapping rules to align text summaries, tables, and bullet points into strict grid structures.
  • Reduces slide creation time by 90%, allowing corporate teams to focus entirely on reviewing and editing content rather than moving text boxes.
Python-pptx Grid Mapping Engine Layout Standards Enforcement Time Saved: 90%

FEMA Form FLA Compiler

Asset Compiler

The Challenge

Compiling the annual Foreign Liabilities and Assets (FLA) report requires cross-referencing company balance sheets, liability metrics, and asset values, which is extremely tedious and time-consuming for corporate compliance teams.

The Solution

We adapted our Form FC pipeline to target FLA structures. The compiler aggregates liabilities, assets, and share capital metrics directly from audited financials, preparing the final compliance submission with minimal manual intervention.

Technical Execution & Architecture

  • Utilizes balance sheet data parsing models to automatically isolate liabilities, equity investments, and asset balances.
  • Cross-references asset classifications against FEMA FLA criteria to automate code mapping.
  • Saves 80% of manual compliance time, shifting the compliance officer's role to validation and sign-off.
FLA Form Compiler Financial Extraction Compliance Automation Audit Prep Friction Reduction: 80%
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