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Agentic AI and Augmented Workflows

Published Jan 23, 2025
AI Solutions
LLMs
Gartner insights
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ROI
Tech

CHALLENGE

Organizations are losing both ROI and competitive advantages because information remains trapped in complex, siloed systems.

Platforms like ERP, HCM, EPM, and CRM—designed to streamline operations—often create barriers due to their complexity, fragmented data, lack of real-time integration, and unintuitive interfaces. Senior leaders, including the C-suite, frequently avoid logging into these systems, forcing teams to manually extract and compile data just to retrieve essential insights. This reliance on manual workarounds slows decision-making and reduces organizational agility.

These challenges don’t just erode ROI; they also limit an organization’s ability to respond quickly to market changes, optimize operations, and gain a competitive edge. To compensate, companies often hire additional personnel to manage manual processes or cut back on support contracts to reduce expenses. However, these short-term solutions only perpetuate inefficiencies, escalate operational costs, and undermine the value of these multi-million-dollar technology investments.

Until now, organizations have relied on band-aid solutions like RPA and PaaS workflow tools to address inefficiencies and siloed systems. While these tools automate some tasks, they fail to deliver end-to-end automation. Changes easily disrupt RPA and workflow tools cannot handle non-deterministic tasks. Today's standalone AI lacks the consistency needed for reliable workflows and struggles with deterministic logic. These issues prevent both tools from addressing the core problem faced by today's enterprises, compounding inefficiencies, increasing operational costs, and leaving the full value of their technology investments unrealized.

SOLUTION

Agentic AI is designed to plan and execute tasks, solve problems, and adapt to new challenges. However, Dayos believes that AI should not operate with pure autonomy. Instead, our approach emphasizes Decision Support with Human Oversight or context-driven autonomy, where the AI presents users with potential next steps, empowering them to make informed decisions while maintaining control.

Dayos’ Augmented LLMs form the foundation of Agentic AI for the enterprise. Enhanced with retrieval, tool calling, and memory capabilities, they redefine how enterprises address manual processes, disjointed workflows, and underutilized technology in multi-million-dollar SaaS investments.

Our models enable intelligent automation and seamless integration across enterprise tools by serving as the backbone of agentic systems, delivering transformative value.

Dayos collaborates with strategic partners such as Oracle, Workday, and SAP to develop tools that work natively on their platforms. These partnerships ensure that Dayos delivers solutions perfectly aligned with the needs of our customers who use these platforms, optimizing the AI for their unique business processes and data.

Through our strategic partnerships, we combine proven methods for automating rule-based business processes with the same technologies these platforms are built on, plus our custom layer that works with multi-cloud SaaS customers. This allows us to seamlessly integrate with existing APIs and workflows. Additionally, our LLMs extend these capabilities by handling non-deterministic tasks, such as mapping unstructured data for transaction entry and presenting decisions through our Service Portal trackers, ensuring a comprehensive and intelligent automation solution.

Unlike many of our competitors, our AI alternates between text-based conversations and creating dynamic GUI forms and suggestions to ensure data for your business processes is collected with ease.

As a result, we are the first SaaS-native solution to build an AI layer on top of your entire SaaS ecosystem—and best of all, it’s all real-time. No more waiting for snapshots to be refreshed with the latest data. Because our AI is native, it works with your existing security permissions on your SaaS platform to enhance accessibility for users, including mobile devices, for best-in-class ERP and HCM solutions.

RESULT

By leveraging augmented LLMs and the power of Agentic AI, enterprises can achieve the following transformative outcomes:

  • Eliminate inefficiencies and data silos by seamlessly integrating workflows across SaaS platforms, maximizing the ROI of multi-million-dollar technology investments.

  • Automate both rule-based and non-deterministic processes, significantly reducing manual intervention, lowering operational costs, and enabling teams to focus on strategic priorities.

  • Handle diverse and unstructured data inputs with advanced contextual understanding, ensuring workflows remain flexible, resilient, and future-proof.

  • Boost employee productivity and satisfaction through intuitive, real-time interfaces that enable natural language interactions and simplify complex processes.

  • Enable real-time decision-making with up-to-date data, eliminating the need for delayed snapshots and ensuring accurate, actionable insights at every level of the organization.

  • Enhance accessibility and security by integrating natively with SaaS platform permissions, extending enterprise applications to mobile devices and new user bases.

This next-generation solution fundamentally transforms how organizations interact with their technology, achieving seamless, end-to-end automation and setting a strong foundation for the future of enterprise applications.