For some time, no-code and low-code development platforms have embedded artificial intelligence (AI) to work alongside developers. As identified earlier this year in our Top Low-Code Trends of 2025, it’s clear that AI-enabled low-code platforms not only boost developer productivity but also empower non-traditional developers to tackle advanced functionality.
But what about the end-user? How can AI enhance their productivity?
What was once considered highly technical is now widely used by everyday users. Ever wonder how Netflix or Spotify know exactly what you want to watch or listen to next? How often you ask Siri, Alexa, or Google to play music, check the weather, set reminders, or use autocorrect and voice-to-text to simplify messaging.
Tools like ChatGPT are used to draft emails, summarize documents, brainstorm ideas, or explain complex topic – helping people save time, get unstuck, and solve problems.
Now, users want these same “self-service” capabilities inside the enterprise applications they use every day.
Next-gen low-code platforms, like DAZZM, make it easy for developers to quickly create AI-powered low-code enterprise applications that enhance the end-user experience. From smart chat-style bots to content generation and task recommendations, AI-powered apps can transform both internal operations and customer-facing portals.
With AI influencing every aspect of business, let’s explore how AI-enhanced business solutions drive measurable business outcomes.
Create AI-Powered Low-Code Enterprise Applications Faster and Easier
DAZZM’s low-code enterprise application creation platform allows developers to quickly embed generative AI features that feel natural to end-users and directly support business goals. Whether it’s a ChatGPT-style assistant within your business solution or AI features connected to enterprise data, apps can go beyond “simple bots” to deliver real business impact in seconds.
What makes this powerful isn’t just the speed of development—it’s the ability to tailor AI exactly to your business context. Unlike external AI tools that deliver generic answers, DAZZM allows IT teams to design AI-driven tools that are fully embedded, secure, and customized to the way employees and customers actively use the app.
Here’s how DAZZM makes it possible:
- Complete AI-powered low-code toolbox with a drag-and-drop environment to integrate functions.
- Rapid prototyping and deployment with low-code speed.
- Developers focus on solving business challenges, not coding AI features or complex integrations.
- AI is fully embedded within the application and customized to your environment.
- Internal data stays secure—no need to rely on external AI tools.
- Up and running in hours.
Users gain advanced AI functionality—like natural language chat, task recommendations, or automatic summaries—without ever leaving their business application, resulting in boosted adoption, productivity, and overall business outcomes.
Security and Governance in AI-Enhanced Enterprise Application Development
AI adoption is accelerating rapidly in the workplace. Yext reports that 43% of people use AI tools daily, with 75% using them more today than a year ago. Gallup found that AI use at work has nearly doubled in just two years, jumping from 21% to 40%. And with tools like ChatGPT and Copilot becoming mainstream, surveys show that as many as 86% of employees now say they use AI in their jobs.
For IT leaders, this surge raises serious concerns around data security, privacy, and compliance. While many organizations have drafted AI usage policies, the reality is that employees often turn to external tools—risking sensitive information being exposed to third-party platforms.
That’s why AI-powered low-code apps are not only essential for driving outcomes but also critical for ensuring security, with embed AI capabilities directly within applications, ensuring:
- Data stays “inside” the organization (securely hosted in the cloud) with no third-party exposure or external AI prompts.
- Compliance and governance controls are built in — every AI function is auditable and traceable.
- Security is enterprise-grade. For DAZZM, proprietary data is securely hosted in Canada under a strict data governance framework.
- Sensitive workflows remain protected — for example, an AI chatbot that handles HR queries can provide instant answers to employees without ever exposing confidential HR policies or records externally.
By delivering AI-powered features directly in enterprise apps, DAZZM helps IT leaders strike a balance between innovation and control, enabling employees to benefit from generative AI while keeping the business secure and compliant.
How AI-Enhanced Enterprise Apps Solve Business Challenges, While Improving the User Experience
Enterprise applications are no longer just mission-critical systems that solve complex challenges. With embedded AI, these apps don’t just process data and execute workflows—they interact intelligently with users, generate and summarize content, provide actionable insights, and even adapt to context. The result: applications that feel intuitive and helpful to the end-user, while delivering measurable impact to the business.
AI-enhanced apps are applied across industries and functions, powering both internal operations and customer-facing portals. Whether it’s natural language, sentiment analysis, or generative AI, technology transforms the way users engage with enterprise systems. And because it can support both front-end and back-end processes, it delivers value across the entire business landscape.
Here are some real-world applications:
Smart “Chatbot” Portals
Use cases include: Internal helpdesk, employee self-service, or customer support portals.
Instead of digging through FAQs or waiting on hold, users interact with a conversational, intelligent assistant. A smart portal can understand natural language questions (“How do I update my benefits?” or “Where’s my order?”), detect frustration or urgency through sentiment analysis, and instantly provide appropriate answers. This self-service experience is faster, personalized, and dramatically reduces the support burden for IT and HR teams.
For example, a new employee can access an employee portal and ask the chatbot questions related to the company, their products and services, holidays and benefits. This speeds up onboarding and gives the new employee greater control over learning without ever having to unnecessarily interact with HR.
Summarization and Document Processing
Use cases include: Email and form processing, or knowledge management.
Employees and customers are often burdened with extensive documentation and information from different sources. Instead of wading through dozens of pages of documentation, AI can automatically parse multiple documents, summarize the essentials, and highlight key information, making it easier to consume and act upon.
In a knowledge management application, AI continuously ingests new documentation—whether it’s updated policies, product manuals, or training materials—and can generate concise summaries as needed. This reduces time wasted searching for answers and accelerates learning and task completion.
Business Insights, Decisions, and Recommendations
Use cases include: Task management, project planning, or operational decision-making apps.
End-users often have too much data but not enough clarity on what to do next. AI embedded in these business apps can analyze activity history, task descriptions, or project metrics to recommend next steps, highlight bottlenecks, or even re-prioritize workloads. For example, a project manager could see suggested task sequences that improve delivery timelines, or a sales manager can get task reminders and automatically create new contacts within the database, maximizing their focus and productivity.
How to Easily Add AI Functionality to Your Low-Code Enterprise Applications
Adding AI-powered features to your enterprise application is simpler than you might think. For example, imagine you want to enhance your employee portal with an AI assistant that helps new hires quickly find answers and navigate their first days on the job.
- Start a new application environment in the DAZZM low-code platform.
- Drag and drop the AI Agent Chat from the toolbox.
- Import all necessary documentation, such as:
- Employee handbook
- Welcome guides
- Company policies and code of conduct
- Holiday and vacation schedules
- Any other relevant resources
- Create a master prompt with detailed instructions that clearly frame the AI’s behavior and expected outcomes.
- Connect to your database(s) so AI can retrieve and respond to user requests with real-time, context-specific information.
- Test the AI functionality to ensure it answers queries accurately and intuitively.
- Deploy the application—and you’re done!
No coding is required. In just a few steps, you’ve created a smart, AI-powered low-code enterprise application that delivers value to employees from day one.
Transform Enterprise Application Development with AI and Low-Code
DAZZM’s AI-enabled low-code platform makes it easy for developers to embed generative AI directly into enterprise applications—delivering smarter, more intuitive experiences for employees and customers alike. From AI-powered chatbots and content generation to task recommendations and intelligent document processing, these functionalities boost productivity, enhance decision-making and streamline operations.
What sets this apart is speed and accessibility. Developers don’t need to be AI experts or write complex integrations. With DAZZM, AI functionality can be added in hours, allowing teams to rapidly prototype, test, and deploy enterprise-grade AI functionalities.
The real value? End-users gain immediate access to intelligent tools that make their day-to-day work easier with immediate measurable business impact.
Ready to see it in action?
Explore how quickly your team can create AI-powered low-code enterprise applications with DAZZM and start transforming how employees and customers engage with your business solutions.
