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Knowledge Hub That Think. Workflows That Work Smarter.

The rise of agentic AI has redefined how businesses operate—marking a new era of intelligent task execution, proactive decision-making, and contextualized automation. With Microsoft Copilot-powered AI agents, enterprises can move beyond traditional chatbots and rigid workflows toward role-based, self-orchestrating digital assistants that learn, adapt, and deliver measurable impact. From banking and education to manufacturing and retail, organizations are embedding agents across departments—driving productivity, reducing costs, and transforming customer experiences at scale.

How Knowledge Hub Transform Work by Role & Industry

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How AI Agents Transform Work by Role & Industry

Why VTS AI Agents?

Financial management and accounting

Produce receipts and track payments with ease using the built-in features of multiple currencies .

Customization and Control

  • Create role-specific agents for sales, service, finance, and HR
  • Supplement GenAI with curated topics for controlled responses
  • Publish in 20+ languages with one-click deployment

Multi-Agent Collaboration and Governance

  • Copilot Studio supports:
    • Agent2Agent protocol for multi-agent interoperability across clouds and frameworks
    • Enterprise-scale governance with built-in analytics, monitoring, and security controls
    • This is critical for scaling AI responsibly across departments.

Supply chain, manufacturing, and operations

Optimize your manufacturing process from production to delivery of the product.

Data Grounding and Retrieval

  • Chat over enterprise knowledge using files, websites, Dataverse, and third-party apps
  • Use retrieval-augmented generation (RAG) with semantic indexing and Power Automate flows to reduce hallucinations and improve accuracy

Enterprise-Grade Integration

  • Copilot Studio is deeply embedded in the Microsoft ecosystem:
    • Seamless integration with Microsoft 365, Dynamics 365, Power Platform, and Azure AI
    • Agents can be deployed across SharePoint, Teams, Outlook, websites, and line-of-business apps

Low-Code, End-to-End Agent Lifecycle

  • Copilot Studio offers a complete SaaS-based lifecycle:
    • Design, build, publish, monitor, and improve agents from a single pane
  • Supports natural language development, GUI-based workflows, and pre-built connectors
    for backend integration

Enterprise-Grade Data Security & Compliance

  • Built on Azure, inheriting its multi-layered security, compliance certifications, and zero-trust architecture.
  • Data residency and sovereignty controls allow organizations to choose where their data is stored and processed.

C-243, Sector – 63, Noida,
Uttar Pradesh – 201307

A KPMC Group of Company

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    Got questions about Agentic AI? Check out our FAQs for best answers

    Agentic AI refers to autonomous systems that can perform tasks, make decisions, and interact with their environment without constant human intervention. Unlike traditional AI, which follows predefined rules, Agentic AI can set goals, adapt, and learn from context

    Unlike traditional AI and chatbots that wait for user input, Agentic AI is proactive and driven by goals. It is capable of:

    • Starting tasks independently
    • Working with multiple agents
    • Improving through feedback
    • Integrating with various systems and data sources

    Agentic AI delivers autonomous, goal-driven capabilities across key business functions:

    Higher Education

    • AI-driven admissions processing
    • Career advisory agents
    • Student engagement bots

    Sales & Marketing

    • Autonomous sales agents
    • ML-based lead scoring
    • Geotargeted marketing automation

    Operations

    • Predictive asset maintenance
    • Cognitive document management
    • ESG compliance analytics

    Customer Experience

    • Context-aware response engines
    • Automated follow-up systems
    • Qualification workflows

    Agentic AI systems usually integrate:

    • Generative AI models (Azure OpenAI, Ollama)
    • Orchestration frameworks (Power Automate, LangChain)
    • Enterprise knowledge stores (Dataverse, SharePoint)
    • User interface layers (React Native, Copilot Studio)

    Benefits of Agentic AI:

    • Efficiency: Removes routine work
    • Scalability: Expands automatically as usage grows
    • Better CX: Provides quicker and more intelligent support

    When deployed through platforms like Microsoft Copilot Studio:

    • Data governance is protected — customer data is excluded from model training and is isolated within the tenant
    • Security and compliance features such as role-based access control, audit trail logging, and adherence to major regulatory standards (GDPR, ISO, HIPAA) are provided out of the box

    Absolutely. Agentic AI supports a wide range of domain-specific workflows:

    Education

    • Automated onboarding pipelines
    • Self-service registration bots

    Retail

    • Intelligent lead routing
    • Conversational call center agents

    Construction

    • AI-driven document comparison
    • Semantic summaries
    • Compliance checks

    Finance

    • Automated procurement cycles
    • AI-led risk analysis models

    Core competencies for building Agentic AI solutions:

    • Proficiency with orchestration frameworks like LangChain and LlamaIndex for building agent workflows
    • Hands-on experience with model providers such as Azure OpenAI, Hugging Face, or similar LLM platforms
    • Strong grounding in workflow automation, natural language processing, and designing intuitive UI/UX for agent interactions

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