Fusion of AI with low-code/no-code platforms happening: Autonom8

Autonom8 has built a SaaS platform that allows you to truly digitize customer-facing workflows quickly.  We call these workflows customer journeys.  Digitization is not just about moving from a paper-based process to an app-based process.  A8’s platform brings together learning (ML) and Conversations (NLP) to make these journeys agile and flexible.  

Balakrishnan Kavikkal, Autonom8 Co-founder and CEO, tells us more. Excerpts from an interview: 

DQ: How does Autonom8's low-code approach empower businesses to build and deploy complex automation workflows?

Balakrishnan Kavikkal: Autonom8's low-code approach provides businesses with a framework that simplifies the creation of automation workflows, especially with its new low-code Agentic workflow builder, which further enhances user capability to build complex, adaptive workflows by minimizing the need for intricate coding skills. 

By offering drag-and-drop components, pre-built templates, and intuitive interfaces, teams can easily build and deploy automation solutions without depending heavily on software development expertise. This empowers IT and business users alike to collaborate effectively, translate business needs into functional workflows, and implement changes swiftly. As a result, projects can go live much faster, allowing enterprises to adapt more readily to evolving requirements.

Beyond just simplification, Autonom8's platform provides flexibility. Businesses can experiment, tweak, and iterate their workflows in response to operational changes, all without the drawn-out development cycles typical of traditional software projects. This enables them to remain agile, while still tackling complex processes that span multiple departments or systems.

DQ: Can you elaborate on how GenAI is integrated into Autonom8's platform, and how it adds significant value to the low-code-no-code framework?

Balakrishnan Kavikkal: Autonom8 has integrated Generative AI (GenAI) into its platform to further enhance its low-code-no-code capabilities by introducing conversational and co-pilot features. With GenAI, users can now interact with the platform using natural language commands to create, modify, and fine-tune workflows. 

The 'co-pilot' feature, for instance, acts as a virtual assistant, guiding users through customization and configuration tasks, which significantly reduces the time and technical know-how required to implement changes.

Additionally, GenAI helps in making customer interactions more intuitive by powering conversational channels, enabling enterprises to develop chatbots and automated customer support that feels more natural. These enhancements mean that complex processes can be adapted on the fly, and customizations that used to take hours or days can now be handled in minutes. 

By embedding GenAI, Autonom8 makes automation not only accessible, but also responsive to real-world needs. The introduction of the Efficient Frontier for LLMs also ensures that large language models are optimized for enterprise needs, balancing performance with cost-efficiency.

DQ: What is the need for hyper-automated workflows in the banking sector, and how does Autonom8 redefine its solutions specific to banking? How is the solution being diversified across other industries like education, healthcare, and customer service?

Balakrishnan Kavikkal: The banking sector deals with complex, heavily regulated processes that need to be fast, reliable, and secure. Hyper-automated workflows help banks tackle this complexity by integrating and streamlining operations across multiple systems—such as customer onboarding, compliance checks, risk assessments, and loan processing. 

Autonom8 specifically tailors its solutions to ensure regulatory compliance across the entire workflow. The platform allows banks to focus on providing seamless services while staying confident that all compliance standards are met automatically in the backend.

Autonom8's core approach to hyperautomation isn't limited to banking. The Low-code Agentic workflow builder plays a key role in adapting the platform for industries like healthcare, education, and customer service, providing users with the ability to easily tailor workflows to the specific needs of each sector. 

In the healthcare sector, it can be used to streamline patient onboarding, appointment scheduling, and data management—tasks that require both efficiency and adherence to data privacy regulations. 

In education, Autonom8 facilitates administrative process automation, such as student admissions and records management, enabling institutions to reduce manual workloads and improve service quality. For customer service, the platform provides integrated solutions for case management, automated responses, and proactive communication—enhancing both the speed and personalization of customer interactions.

DQ: What are the emerging trends in AI and automation that you see shaping the future of enterprise software?

Balakrishnan Kavikkal: Several trends are emerging that are likely to shape the future of enterprise software. One significant trend is the fusion of AI with low-code/no-code platforms, similar to what Autonom8 has pioneered. By integrating AI capabilities like natural language understanding and predictive analytics, these platforms allow for more personalized automation that can understand business needs in human-like ways.

Another key trend is the shift towards autonomous systems—automation that not only follows preset rules, but also learns and adapts. As more AI models are embedded into automation platforms, we expect to see a greater focus on "self-improving" workflows that can optimize themselves based on real-time data.

Data privacy and compliance are emerging as pivotal issues, pushing vendors to develop solutions that incorporate security and compliance by design. Finally, there's a growing demand for integrating disparate enterprise systems seamlessly, ensuring that front, middle, and back offices work together without silos. 

The Efficient Frontier for LLMs contributes to this by providing a structured approach to integrating language models effectively, ensuring that different systems can interact intelligently while maintaining efficiency. This trend will continue to push automation providers to offer deep integrations out-of-the-box.

DQ: What are your plans for expanding Autonom8's business solutions to other segments?

Balakrishnan Kavikkal: Autonom8 plans to continue expanding its offerings by addressing pain points in other industries that face operational inefficiencies and high compliance requirements. The idea is to take the foundational strengths of hyperautomation, and tailor them to sectors like manufacturing, retail, and logistics, where there is a strong need for integrating complex workflows across various systems.

In manufacturing, for instance, Autonom8 aims to automate supply chain processes, quality checks, and factory-floor operations to improve productivity. In the retail segment, the focus will be on automating inventory management, customer engagement, and supply logistics, providing retailers with a way to respond dynamically to demand fluctuations.

By building on the versatility of its low-code, GenAI-enhanced platform, Autonom8 is set to address broader market needs while ensuring that the solutions can be customized and scaled according to specific industry demands.