Solving problems today involves a close collaboration of engagement, intelligence and records systems. Multiexperience horizontal platforms like Outsystems, Mendix and Microsoft PowerApps create seamless integrations between AI and intelligence in their low- code application development strategies.
Mature LCNC platforms provide studios, enterprise connector pools and continuous integration/ continuous delivery (CI/CD) deployment models. They also come bundled with functional accelerators like self-service, case management, legacy modernization, business operations and field service applications. They have experienced marketplace models that provide the flexibility to adopt solutions faster. Industry platforms for sales and service like Salesforce, SAP, Oracle and Microsoft Dynamics have an insightsdriven strategy embedded within the low-code experience. For example, the AI-powered Infosys Enterprise Service Management Café is built on top of our ServiceNow platform and has over 65 industry recipe apps for Infosys clients.
For an American multinational investment bank, Infosys enabled a multimedia conferencing asset management solution as a service powered by a platform model. It offered capabilities like real-time service management, intelligent preventive health check on resources, threat management, and JIT secured access token activation. This solution built on Infosys ServiceNow creates an experience for multiple B2C and B2E roles and integrates a wide variety of solutions.
The digital experience platform’s low-code strategies focus more on omnichannel friendliness, standardized approaches and providing connected experiences. Classic examples are digital commerce platforms like SAP Commerce, Magento, HCL Commerce, Salesforce Commerce Cloud, Shopify and Infosys SKAAVA. These eCommerce providers embrace microservices-based headless approaches to provide maximum flexibility and agility with studio models and recommendation engines. Digital content management and marketing platforms (Adobe AEM and Sitecore) follow the same low-code approach for rapid digitization, forms-based application development and template-based brand portal development.
Enterprises need a well-defined playbook on the fitment of the strategy for the application lifecycle. They must establish stronger governance, operations, security and monitoring mechanisms for the scaled deployment, as well as a collaborative development model to ease community development.
Scale and agility are two core value propositions of any LCNC strategy. A rich studio environment enables us to build applications faster and create a WYSIWYG experience.
AI-based co-development is a significant trend in multiexperience horizontal platforms. Examples of critical accelerations are in areas where the experience metadata and properties are auto-filled, development suggestions and recommendations are combined with integrated development environments (IDE), and alerts are created during development stages. We will soon see real-time semantic code analysis powered by AI and actionable recommendations, coding auto-complete models, AI-powered implementation review and more. The direct benefit will be in multiapplication factory development models where integration is needed for multiple backend systems.
Infosys delivered more than 12 reactive web and mobile apps in a period of four to five months for a Singaporean multinational telecom conglomerate. Their time to market was five times faster than previous deliveries and their cost of development was nearly three times lower.
A standardization-friendly approach that coexists with robotic pair programming models is essential for industry adoption. The critical patterns adopted by the platforms are:
The ability to extend the LCNC-generated code with open standards enables better business adaptability and builds broader acceptance and confidence among communities.
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