AI is redefining what is possible in application development. What once required hours of translating business requirements into user stories, data models, and application structures can now begin with a conversation. Developers can describe what they want to build, refine their ideas through natural language prompts, and use AI to rapidly create the foundational elements of an application, turning business intent into working solutions faster than ever before.
With BizFlow M AI, that experience is built directly into the BizFlow M development environment. Developers remain in control while AI helps eliminate repetitive work, accelerate development, and dramatically shorten the path from idea to enterprise-ready application.
Introducing BizFlow M AI: a brand-new AI-assisted development experience available in BizFlow M26. Designed to help teams move seamlessly from business intent to functional, deployable applications, BizFlow M AI brings a new level of speed, intelligence, and efficiency to application development.
Every enterprise application begins with a business need. It might be a new approval process, an employee request system, a complex permitting workflow, or another solution that coordinates people, information, and operational decisions. The people closest to that need typically understand the desired outcome and functional requirements. The challenge has always been translating that business vision into the technical components required to make it work.
Traditionally, that translation requires extensive requirements documentation, user stories, acceptance criteria, process flows, data models, database schemas, and custom code, all before a complete solution begins to take shape. Low-code platforms made development significantly more accessible, but much of the work required to transform an idea into a complete application remained manual.
BizFlow M today simplifies this process further by eliminating manual coding and complex deployment tasks. However, developers still need to design process diagrams, create data models, build forms, and assemble those individual components into a deployable application.
With M26, BizFlow M AI introduces a fundamentally different starting point: a conversation.
Instead of beginning with individual technical components, users simply describe the business solution they want to create in natural language. BizFlow M AI interprets that intent, applies embedded best practices to help shape the solution, and generates the underlying architectural models needed to bring it to life.
We call this conversational development. Rather than requiring users to manually translate business requirements into every technical component of an application, BizFlow M AI helps perform that translation as a natural part of the development experience, dramatically reducing the distance between an idea and a working solution.
Beyond accelerating everyday development tasks, BizFlow M AI fundamentally changes how teams learn and adopt the platform. Acting as an interactive advisor, it provides real-time guidance and helps users translate natural language descriptions into proven application patterns directly within the development experience.
This significantly reduces the traditional learning curve, enabling business analysts and new developers to quickly understand BizFlow M capabilities, build with confidence, and move from platform onboarding to working solutions faster than ever before.
At the heart of the BizFlow M AI experience is an AppTalk, an interactive session where a business idea progressively takes shape as an application. Each AppTalk brings together the ongoing conversation between the user and the AI Assistant, the models generated along the way, and the solution’s progression through the development lifecycle.
Getting started is as simple as describing what you want to build in natural language. From that initial description, BizFlow M AI generates a primary process model that users can immediately review and refine. From there, they can continue the conversation, request specific changes, and iteratively shape the solution before moving to the next stage.
But an AppTalk goes far beyond a single prompt that generates a rigid, finished application. BizFlow M AI uses a structured, progressive approach that guides the solution through Process, Data Entities, Forms, Completion, and Publishing. Each stage builds on the decisions and models confirmed in the stage before it.
The process model establishes the foundation, defining the activities, participants, and overall flow of work. Once confirmed, BizFlow M AI uses that process as context to generate the Data Entities needed to support the solution. Together, the process and data models then provide the foundation for generating user Forms.
With each step, BizFlow M AI gains richer context and a deeper understanding of the application being built. Rather than attempting to generate an entire enterprise solution from a single prompt, AppTalk progressively transforms business intent into a structured, refined, and deployable application while keeping the user actively involved throughout the development process.
BizFlow M AI is deliberately designed to keep people in control. At every stage of development, users review and confirm AI-generated content before the solution moves forward. They can continuously interact with the AI Assistant to modify, refine, and shape the output, ensuring the application reflects their requirements rather than simply accepting the AI’s initial interpretation.
Behind the scenes, BizFlow M AI maintains a clear separation between the initial AI Model, the standardized Foundation Model, and the final Product Model created for the target BizFlow environment. This multi-layered architecture gives the AI Assistant the flexibility to generate and recommend solution patterns while ensuring those recommendations are translated into the structured, governed models required by BizFlow M.
The result is a development experience that combines the speed of AI with the control and precision required for enterprise applications. The AI Assistant handles much of the initial modeling and configuration work, while users remain responsible for what gets built, how it evolves, and when each stage is ready to move forward.
For experienced BizFlow developers, this means spending significantly less time creating foundational application structures and more time focused on the specialized integrations, configurations, and user experiences that make each solution unique.
For business analysts and newer developers, BizFlow M AI provides a far more accessible entry point into application development. They can begin with what they already know, the business requirement, and use natural language to progressively build sophisticated applications without needing to understand every underlying technical implementation detail or write code.
BizFlow M AI goes beyond generating individual models by introducing native platform orchestration. Enterprise applications rarely exist as a single component. They bring together processes, data, forms, and application logic across multiple areas of the platform. Traditionally, developers have had to work within each of these tools individually, creating and connecting each component piece by piece.
BizFlow M AI brings that work together into a single, coordinated development experience. As an AppTalk progresses, the AI Assistant sequentially generates the process, data, and form models needed to support the solution, carrying context forward at every stage. Developers no longer need to start each component from scratch or repeatedly move between tools to translate the same business requirements into different technical models.
This is a critical distinction between BizFlow M AI and external AI assistants that simply generate code, text, or recommendations. BizFlow M AI does not just suggest how an application could be built. It creates models designed to become native components of the BizFlow M platform.
Once each stage is reviewed and confirmed, the generated Foundation Models can be published directly into BizFlow M for final configuration and deployment. Data Entities and Forms become native AppDev assets that can be registered as a BPS Application, while the generated process becomes a formal BPS Process Definition.
The result is a connected, end-to-end enterprise application that moves seamlessly from an AppTalk conversation into the existing BizFlow M ecosystem.
BizFlow M has always evolved around a simple goal: making it easier to turn complex business requirements into powerful enterprise applications. With BizFlow M AI, that vision takes a major step forward.
Conversational development introduces an entirely new way to build. Instead of requiring users to translate business ideas into every underlying technical component, BizFlow M AI helps bridge the gap between intent and implementation. It guides solutions from an initial conversation through structured models and ultimately into the BizFlow M platform.
For experienced developers, that means accelerating the path from requirement to solution and spending more time on the work that makes applications unique. For new developers, it means becoming productive on the platform faster. For business analysts, it creates a more direct path from understanding a business challenge to actively shaping the solution.
BizFlow M AI brings the speed and accessibility of generative AI together with the structure, governance, and enterprise power of BizFlow M. It transforms not just how quickly applications are built, but who can participate in building them.
