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AI-Powered Low-Code Generative AI Application Platform
Created
Reference Number
TO175496
Summary

While generative AI presents significant opportunities for productivity gains and innovation, many organisations face challenges in adoption due to limited AI expertise, complex system integration requirements, and concerns around security and governance.

This technology is an enterprise-grade, low-code/no-code generative AI application platform that enables organisations to rapidly design, deploy, and manage customised AI-powered applications without extensive software development or machine learning expertise. The platform supports multi-agent AI orchestration, integrates with a wide range of pretrained and proprietary models, and offers flexible deployment options including secure cloud, private cloud, and on-premise environments.

By abstracting the complexity of AI development and providing built-in governance, monitoring, and workflow orchestration capabilities, the platform allows organisations to accelerate AI adoption while maintaining control, security, and compliance.

Workflow Status
Published
Feature Specification

Low-Code AI Application Builder

Enables rapid creation of AI-powered applications such as conversational agents, intelligent assistants, automated report generators, and document processing tools without writing code.

Multi-Agent Workflow Orchestration

Supports the design and coordination of multiple AI agents to automate complex, multi-step business processes (e.g. information retrieval, validation, analysis, and response generation).

Model-Agnostic Architecture

Allows users to access a curated library of pretrained models or integrate proprietary and third-party models via APIs, providing flexibility and avoiding vendor lock-in.

Flexible & Secure Deployment

Supports deployment across public cloud, private cloud, or on-premise environments, with enterprise-grade security controls, access management, and data protection.

Monitoring, Analytics & Governance

Provides real-time visibility into AI usage, performance, and behaviour, enabling optimisation, auditability, and responsible AI governance.

CMS Author
Jiang Yumin
Page Sub Title
Low-Code Generative AI Platform for Rapid Enterprise Application Development with Built-In Governance and Multi-Agent Orchestration
Owner Country Name
Data source
prod