Joget has expanded its White Label offering with new agentic AI capabilities aimed at helping system integrators (SIs) and independent software vendors (ISVs) deliver fully branded enterprise AI applications without developing their own AI platforms. The upgrade integrates Joget Intelligence—including AI Composer and AI Agent Builder—into the company’s low-code platform, allowing partners to build AI-powered business applications while retaining customer ownership, branding, and service revenue.
Enterprise demand for artificial intelligence is shifting beyond experimentation toward production-ready business applications, placing increasing pressure on technology partners to deliver AI capabilities quickly. Against this backdrop, enterprise application platform provider Joget has upgraded its White Label solution, enabling system integrators (SIs) and independent software vendors (ISVs) to offer branded enterprise AI platforms built on Joget’s agentic AI architecture.
The announcement reflects a broader shift in the enterprise software market, where consulting firms, software vendors, and digital transformation partners are looking for faster ways to deploy AI-powered workflows without investing years in developing proprietary AI infrastructure.
Rather than building an AI platform from scratch—or reselling third-party products under another company’s brand—partners using Joget’s White Label solution can deliver AI-powered enterprise applications under their own identity while leveraging Joget’s underlying technology.
According to Raveesh Dewan, CEO of Joget, enterprise customers increasingly expect implementation partners to provide production-ready AI solutions rather than high-level AI consulting. He said many solution providers are losing opportunities because they lack an enterprise-grade AI platform despite having the technical expertise to deliver customized business solutions.
Agentic AI Moves Into Enterprise Application Development
The upgraded platform introduces Joget Intelligence as a native capability within the White Label offering.
The release includes AI Composer, a conversational application development engine that enables users to generate business applications, forms, workflows, and approval processes using natural language prompts. Unlike traditional low-code development tools that still require significant manual configuration, AI Composer is designed to translate business requirements into governed enterprise applications while maintaining auditability and workflow controls.
The platform also adds AI Agent Builder, allowing organizations to embed autonomous AI agents into enterprise applications. These agents can automate operational activities such as workflow routing, approvals, validation, escalations, and notifications while maintaining activity logs that support governance and compliance requirements.
Together, these capabilities position Joget within the rapidly expanding market for agentic AI, where autonomous software agents increasingly perform business processes with limited human intervention.
White Label Strategy Targets Technology Partners
The enhanced White Label program addresses a common challenge facing technology service providers.
Many SIs and ISVs have strong industry expertise but lack the resources required to build enterprise AI platforms capable of supporting modern application development, orchestration, governance, and model integration.
Joget’s platform allows partners to maintain complete branding while outsourcing platform maintenance, updates, and core infrastructure to Joget. The offering also includes access to the Joget Marketplace, enterprise security capabilities, compliance features, and Bring Your Own Key (BYOK) support, enabling customers to select their preferred large language model (LLM) provider.
BYOK has become increasingly important for enterprise AI deployments because organizations often require flexibility to use models from providers such as Microsoft Azure OpenAI, Google, Amazon Web Services (AWS), Anthropic, or other AI platforms based on regulatory, cost, or data residency requirements.
Enterprise AI Platforms Become a Competitive Differentiator
The announcement reflects broader trends reshaping enterprise software development.
According to Gartner, by 2028 a significant share of enterprise software engineering activities will incorporate generative AI-assisted development, reducing application delivery times while expanding automation capabilities. Meanwhile, IDC expects worldwide spending on AI-centric systems to continue growing at double-digit rates as organizations prioritize intelligent automation and AI-powered business processes.
These market dynamics are driving increased demand for platforms that combine low-code development, workflow automation, AI orchestration, and governance into a unified environment.
Joget’s latest release positions the company alongside a growing ecosystem of enterprise AI platform providers that increasingly compete with offerings from Microsoft Power Platform, Salesforce, ServiceNow, Appian, and OutSystems. While those vendors emphasize integrated enterprise ecosystems, Joget differentiates its offering through open-source architecture, white-label deployment, and partner-centric branding.
Enterprise Adoption Focuses on Operational Workflows
Joget says its platform already supports production deployments across industries including insurance, healthcare, manufacturing, and government.
Common enterprise use cases include contract digitization, customer onboarding, procurement automation, legacy application modernization, workflow orchestration, and document management.
The addition of native AI composition and autonomous agents expands these capabilities by enabling organizations to automate increasingly complex business processes without requiring extensive custom software development.
For technology partners, the upgraded White Label solution represents more than a branding enhancement. As enterprise customers accelerate AI adoption, the ability to deliver production-ready AI applications under their own identity could become an important competitive advantage in a market where platform ownership, customer relationships, and recurring services increasingly determine long-term growth.
Market Landscape
Enterprise AI platforms are evolving beyond chatbots and copilots toward agentic AI systems capable of executing workflows, orchestrating business processes, and integrating with enterprise applications. Low-code development platforms are increasingly embedding generative AI to accelerate application delivery while maintaining governance and compliance.
According to Gartner, AI-assisted software engineering is becoming a mainstream enterprise capability, while IDC forecasts sustained growth in enterprise AI investments as organizations automate core business operations. This trend is driving competition among platform providers including Microsoft, Salesforce, ServiceNow, Appian, OutSystems, and emerging AI-native vendors offering low-code automation with embedded AI.
Top Insights
- Joget has expanded its White Label platform with native agentic AI capabilities, enabling SIs and ISVs to deliver branded enterprise AI applications without building proprietary AI infrastructure.
- The release introduces AI Composer and AI Agent Builder, allowing organizations to create conversational workflows and autonomous business agents with governance and auditability built in.
- Bring Your Own Key (BYOK) support enables enterprises to integrate preferred AI models from providers such as Microsoft, Google, AWS, or Anthropic while maintaining deployment flexibility.
- Growing enterprise demand for AI-powered workflow automation is increasing pressure on solution providers to deliver production-ready platforms rather than standalone AI consulting services.
- White-label AI platforms are emerging as a strategic option for technology partners seeking to retain customer ownership, brand identity, and recurring service revenue in the AI economy.
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