Sakal Robo System

Agentic AI Solutions

Our AI Assistant Capabilities

At Sakal Robo System, we build intelligent AI assistants and copilots that transform how teams interact with data, documents, and enterprise systems. 

By combining deep expertise in software engineering and generative AI, we help organizations move from manual reporting and document reviews to conversational, insight-driven automation — powered by both custom Python-based solutions and low-code tools like Microsoft Copilot Studio. 

Natural Language Reporting App

Our AI Projects

Bringing Intelligence to Engineering and Business Workflows

Document AI Assistant

Our Document AI tool enables users to interact directly with their documents — extracting, summarizing, and interpreting complex content in natural language. 

Key Features 

  • Upload and analyze PDF documents through a secure web interface. 
  • Ask context-aware questions and receive precise answers grounded in document content. 
  • Generate summaries and key insights for faster understanding of technical, contractual, or procedural data. 
  • Built-in context boundary protection ensures the assistant only responds to information within the uploaded file, maintaining accuracy and security. 

Business Impact 

  • Saves time: Cuts document review time from hours to minutes. 
  • Faster decision making: Helps teams quickly identify relevant terms, risks, or requirements in lengthy technical or legal documents. 

Natural Language Reporting (NLR) Agent

Our NLR Agent converts everyday questions into data-driven insights — generating and summarizing operational or production reports on demand. 

Key Features 

  • Understands natural-language queries like 
    – “How many leaves are pending for the design team?” or            – “Who took leave during the Christmas month?” 
  • Automatically converts queries into optimized SQL statements, executes them against live databases, and formats results for easy interpretation. 

Technical Foundation 

  • Python-based APIs with LangChain orchestration. 
  • RAG architecture using Milvus vector database for efficient retrieval.
  • Deployed in a hybrid setup — cloud-hosted reporting agent integrated with existing SaaS apps, and local deployment for document processing. 

Business Impact 

  • Reduce dependency: it reduces manual report preparation and SQL query dependency. 
  • Quick Analysis: it enables faster, self-service analytics for non-technical users. 
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Copilot Studio Integration

We extend our in-house AI agent capabilities into Microsoft Copilot Studio, enabling clients to build domain-specific copilots quickly and securely. 
Our team has developed copilots that integrate with SharePoint and Teams, connecting to enterprise data and enabling conversational access to documents and dashboards. 

What We Deliver 

  • Design and configuration of custom copilots using Copilot Studio. 
  • Integration with data sources such as SharePoint, SQL databases, and Power Automate workflows. 

Business Impact 

  • Accelerated AI adoption: Enables teams to build copilots in weeks instead of months using low-code tools. 
  • Improved productivity: Employees can interact with business data through natural language, reducing dependency on manual report generation. 
  • Enhanced collaboration: Copilots embedded within Teams and SharePoint streamline access to information directly within daily workflows. 
  • Enterprise-grade governance: Built with Microsoft ecosystem tools, ensuring compliance, access control, and data security for sensitive operations. 

Architecture Overview

Our AI solutions combine modular components that can scale from proof-of-concept to production. This architecture supports both on-premise and cloud deployments, offering flexibility for data governance, integration, and security

Modular AI Solution Architecture

Security & Governance

  • Role-based access control

    It ensures only authorized users access reporting or analytics features.

  • Data Security

    Data remains confined within each deployment environment (local or cloud).

  • Content Isolation

    Sensitive content is handled with context isolation — ensuring the assistant never responds outside its intended dataset.

Business Impact

  • Accelerate Decision-making

    AI agents surface answers instantly from structured and unstructured data.

  • Reduce Manual Effort

    Automated data retrieval and document summarization save hours of repetitive work.

  • Improve Accuracy

    Context-bound responses eliminate irrelevant or incorrect outputs.

  • Enable Scalability

    Hybrid architecture supports both local testing and enterprise deployment.

Future Roadmap

  • Expansion of Copilot Studio solutions for broader enterprise integration. 
  • Multi-model support using open-source and proprietary LLMs. 
  • Continued focus on AI in engineering and manufacturing domains, where contextual understanding and precision are critical. 

Why Choose Sakal Robo System Services

  • Proven expertise in engineering and automation software, now extended to AI-driven assistants. 
  • Experience in custom AI development (Python, LangChain, RAG) and low-code solutions (Copilot Studio). 
  • Balanced focus on technical depth, security, and business value. 
  • Agile teams capable of building tailored AI solutions that integrate seamlessly with your existing systems. 

Explore how AI agents can accelerate your operations.

Whether through custom-coded assistants or low-code copilots, Sakal IT Services helps you bring intelligent automation to your business.