Published: Jun 30, 2025
NCS AgentCanvas: Design, build, deploy production ready agentic AI workflows - rapidly
Enterprise automation is evolving. While Generative AI has revolutionised content creation and how we interact with information [1], Agentic AI is poised to redefine enterprise decision-making and execution. These systems go beyond providing insights - they monitor environments, orchestrate multi-step workflows and execute real-world actions independently. Organisations that embrace this shift early will gain a decisive edge in agility and performance, while those who delay may struggle to keep pace.
NCS is already leading the way by demonstrating Agentic AI capabilities for traffic incident management for transport operations, improving compliance management for contact centres and video search and summarisation for public safety [1,2,3,4]. These systems autonomously detect incidents via real-time sensor data, select optimal recommendations and response plans, and trigger actions such as activating incident response teams and alerting the public — all with minimal human intervention. These examples demonstrate the real-world impact of Agentic AI, streamlining operations, reducing response times and enhancing public safety. Yet, transforming this excitement into tangible enterprise value at scale comes with challenges. [2,5]
Why enterprise adoption is complex
Most organisations face significant hurdles before deploying their first AI agent in production:
| Challenge | In practice |
| Skills gap | SMEs understand workflows; ML engineers code — bridging this gap slows projects. |
|
Infrastructure complexity |
Hybrid environments (on-prem GPUs, multi-cloud, edge devices) demand portable, consistent deployment. |
|
Compliance demands |
Agents must respect data-sovereignty, RBAC policies, and industry-specific audit standards. |
|
Testing bottlenecks |
Small changes frequently disrupt agent performance; manual tests are too slow. |
| Limited observability | Deployed agents require tracing, cost control, hallucination detection, and rollback mechanisms not typically available out-of-the-box. |
As a result, projects stall, delaying time-to-value from weeks to quarters.
Introducing NCS AgentCanvas
Figure 1. NCS AgentCanvas
NCS AgentCanvas is a blueprint-driven platform that rapidly transforms the needs of business SMEs into deployment-ready AI agents. By standardising design patterns, automating infrastructure provisioning and embedding continuous validation, it solves adoption complexities. Key characteristics of NCS AgentCanvas are:
- Domain-Optimised Templates – Adapting agents to specific business scenarios through intuitive low-code interactions enabled by sector-specific blueprints that encode workflow logic, regulatory constraints and telemetry monitoring, thus significantly reducing custom development.
- Framework Abstraction – Unifies diverse agent frameworks (e.g., LangChain, CrewAI) under one configuration schema, reducing technical debt and complexity.
- NVIDIA AI Enterprise Acceleration – Containerised NVIDIA NIM endpoints deliver GPU-optimised inference, auto-scaling through Kubernetes-native autoscalers. Leveraging NVIDIA AI Blueprints, the platform simplifies complex workflows and supports NVIDIA NeMo Agent Toolkit for agent profiling, optimisation and robust production performance tuning [6].
- Easy Deployment Anywhere – Agent bundles remain infrastructure-agnostic; identical Helm releases deploy seamlessly on-premise (e.g., NVIDIA DGX clusters) and in cloud environments (AWS, GCP, Azure).
- Continuous Evaluation Loop – Configuration changes automatically trigger comprehensive test suites, metrics dashboards and regression checks, shortening validation cycles and maintaining continuous deployment confidence.
As Agentic AI sprints toward mainstream adoption, NCS AgentCanvas combines deep industry know-how, comprehensive system characteristics and intuitive tooling — overcoming complexity, accelerating deployments and turning market excitement into tangible enterprise value.
NVIDIA NIM offers secure, high-performance AI inference across cloud, data centre and workstation environments with support for leading open models including NVIDIA Nemotron — enabling scalable, reliable deployment with industry-standard APIs. NCS has leveraged NVIDIA AI Enterprise to develop the above NCS AgentCanvas offering as part of their platform services.
References:
[1] Innovating customer support: NCS generative AI enhancements for the Singapore Ministry of Manpower’s contact centre, https://www.ncs.co/en-sg/knowledge-centre/articles/innovating-customer-support-ncs-generative-ai-enhancements-for-the-singapore-ministry-of-manpower-contact-center/
[2] AI everywhere, skin deep, https://www.ncs.co/en-sg/make-tomorrow/everything-ai-transforming-business-and-communities/technology-trends-and-ai-adoption/
[3] GenAI solutions for contact centre operations, https://www.ncs.co/en-sg/make-tomorrow/everything-ai-transforming-business-and-communities/generative-ai-solutions-for-contact-centre-operations/
[4] NCS KAI Video Search and Summarisation Platform, https://www.ncs.co/en-sg/knowledge-centre/articles/ncs-kai-video-search-and-summarisation-platform/
[5] Governance for Generative AI, https://www.ncs.co/en-sg/make-tomorrow/everything-ai-transforming-business-and-communities/generative-ai-governance-framework/
[6] NVIDIA AI Enterprise, https://www.nvidia.com/en-sg/data-center/products/ai-enterprise/