Generative AI and hyperautomation: Turn your ideas into solutions

Generative AI and hyperautomation (workflow, RPA, BPM, AI, no-code) usher in a new era for companies seeking greater speed, efficiency, and security. It’s no longer just about automating repetitive tasks—it’s about turning ideas into functional business applications, powered by artificial intelligence. This approach enables the creation, modeling, securing, and orchestration of all processes, while integrating the most demanding compliance standards.

AI-powered application generation allows business teams to bring their needs to life without relying on traditional coding. Every workflow, form, business rule, or dashboard can be generated, adapted, and connected in a visual environment. Workflow, BPM, and RPA modeling thus takes place within a secure, intelligent framework, fully compatible with modern architectures, including serverless architecture.

Intelligent automation goes even further: it anticipates events, optimizes flows, and considers business context in every process. With AI-driven identity management, permissions and access are automatically adjusted based on roles, activity, or detected risks. This combination of monitoring, orchestration, and governance forms the foundation of Hyperautomation 2.0, focused on responsiveness and personalization.

This vision is part of a broader hyperautomation (workflow orchestration, BPM, RPA, AI, no-code) strategy, uniting AI, automation, and agility in a single, unified framework.

Generative AI and hyperautomation (workflow, RPA, BPM, AI, no-code) provide companies with unprecedented capabilities for data processing, flow synchronization, and IT flow supervision. Every process becomes scalable, every scenario automatable, and every incident foreseeable. This approach breaks down system silos, standardizes interactions, and connects business applications to both internal and external data sources.

Business process automation becomes cognitive. By combining AI-powered risk prediction tools with continuous process improvement, the platform guides decisions and suggests corrective actions. Exception handling is also automated through adaptive automation, which detects deviations from standard scenarios and dynamically adjusts the rules.

The approach also unifies data security and privacy with AI. Access rights are reviewed in real time based on detected behavior. Permission orchestration follows a contextual trust model, where every action is tracked and analyzed. Application orchestration ensures consistency across modules, whether internal or from third-party partners.

This dynamic is powered by the integration of AI connectors and process automation, which makes it possible to connect all types of AI services to the platform—without specific development.

Integrating generative AI and hyperautomation (workflow, RPA, BPM, AI, no-code) means turning artificial intelligence into a true engine of transformation—not just a complementary tool. Every business process can now be reimagined, optimized, and autonomously managed. This capability relies on AI integration into development, enabling the platform to understand business intent and automatically generate coherent application components.

This approach reaches its full potential in critical use cases such as automated regulatory compliance, orchestration of sensitive processes, or dynamic access management in hybrid environments. Every action is documented, every access point is verified, and every step is optimized. External AI and security further enhance this ongoing adaptability to internal and external risks.

The platform fits within a continuous digital innovation platform designed to be extensible, modular, and scalable. It enables tailored AI and machine learning integration and supports accelerated digital transformation for all types of organizations—whether in finance, industry, services, or the public sector.

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Generative AI and hyperautomation (workflow, RPA, BPM, AI, no-code) are not only transforming technology—they are redefining how organizations adapt to change. By making technology accessible, visual, and automated, this approach breaks down silos and streamlines processes across business teams, IT departments, and external partners. Dynamic access management, for example, becomes a lever for agility: it adjusts automatically based on roles, projects, or data flows.

The platform enables seamless process orchestration across all parts of the organization, while ensuring automated regulatory compliance. It delivers proactive management of permissions, user lifecycle, and data security. This compliance automation prevents human error while offering complete, traceable reporting for internal or external audits.

The intelligence built into the platform also enables AI-driven risk prediction. By analyzing historical data, user behavior, and data flows, the system can alert managers to unusual deviations or emerging vulnerabilities. This represents a new approach to intelligent cybersecurity, combining AI and cybersecurity in an operational, transparent framework.

Finally, integrating these technologies into a BOAT (Business Orchestration and Automation Technologies) model ensures full convergence of automation, governance, and continuous innovation. Every component—application, process, permission, or data—becomes orchestrable, observable, and adaptable. This is what allows companies not only to transform rapidly, but to remain flexible in the face of future changes.