Part 1: ToggleNow’s Vision for Orchestrated Automation and Agentic AI

Reading time: 3 mins

Meet the Authors

Key Takeaways

⇨ Agentic AI brings intelligence beyond traditional SAP GRC automation, allowing systems to interpret requests and act with contextual awareness.

⇨ Generative AI knowledge alone is insufficient; specialized GRC agents are essential for handling compliance requests and resolving authorization errors with minimal manual oversight.

⇨ Digybot transforms GRC into an accessible, user-driven experience, streamlining daily work by enabling users to engage directly with intelligent agents for faster outcomes.

As SAP customers grapple with rising complexity in governance, risk, and compliance (GRC), automation strategies are quickly evolving. Traditional Robotic Process Automation (RPA) and scripted automations are proving insufficient as enterprises look for more intelligence and adaptability in their systems.

Against this backdrop, Raghu Boddu, CEO of ToggleNow, discusses how his company shifted from orchestrated automation to agentic AI. He explains the inspiration for Digybot, ToggleNow’s AI-driven assistant, and why specialized agents are becoming critical for simplifying SAP GRC.

Can you share a bit about ToggleNow’s current AI vision and strategy? What was the original inspiration behind creating Digybot?

Explore related questions

ToggleNow’s focus is on automation. Even before artificial intelligence (AI), we were implementing many solutions, which we call orchestrated automation, using available resources within SAP, like ABAP-based automations . ToggleNow primarily concentrates on SAP GRC, and we delivered nearly 60 to 70 automations between 2018 and 2020.

That really helped us understand what kinds of automation we can deliver. After implementing orchestrated automation, we started using RPA bots—robotic automation solutions available in the market. Then, with the introduction of AI, we realized we could add many more capabilities instead of just doing point-to-point automation. The biggest limitation we have in orchestrated or RPA-based automation is that they just do what you program them to do. They don’t have intelligence.

How did this evolution lead to your focus on AI?

When everyone started talking about LLMs, we thought: why can’t we actually use this in the GRC space? Many users don’t know how to access GRC, or companies invest a lot in training users every day on how to use GRC.

We aim to create a simplified version of GRC where users can just talk to the agent or the bot and get their work done—without the need for extensive training or understanding the technical side of SAP. Our goal is to keep it straightforward, and that was the inspiration behind developing the Digybot product.

How do you define agentic AI and what does it mean specifically in the SAP and GRC context?

We initially started this as a generative AI solution. We aimed to provide information and training such as  “What is the purpose of this transaction code?” or “How is there a risk between two transaction codes?” We intended to develop that kind of LLM;create a generative AI that offers extensive content on SAP security and GRC.

However, we realized that all this information is already available with OpenAI, ChatGPT, or other GPTs in the market. So, we decided to develop something highly relevant and specific to SAP GRC.

That’s where we examined the data available to us regarding the types of requests from end users and how our support agents respond to them, including the time they spend on responses and what actions are needed. Then, we began developing our own agents to handle various SAP GRC-related requests for users.

Agentic AI isn’t specific to SAP GRC—it’s a general AI that acts as an agent to help you understand and respond to your queries. It provides intelligence and accurate information. They’re like a coworker or digital worker assisting you.

Can you explain how these agents work together?

They’re purpose-built agents. For example, I have one agent dedicated to creating GRC requests. I also have another agent that provides reports, and a third agent that performs specific tasks like analyzing SU53 authorization errors and recommend the right role.

We developed individual agents and then offered our customers the option to pick, combine, and customize them into one called Digybot. It’s a choose-your-own approach where customers select from a list of available agents, add them all together, and create a single agent called Digybot. Afterwards, they can integrate it with Teams, Slack, or Google Chat and start using it.

What This Means for SAPinsiders

Agentic AI brings intelligence beyond traditional SAP GRC automation. Instead of relying on rigid scripts, executives can now expect systems that interpret requests and act with contextual awareness.

Generative AI knowledge alone is no longer enough. Professionals will increasingly depend on specialized GRC agents that handle compliance requests, resolve authorization errors, and deliver reports with minimal manual oversight.

Digybot turns GRC into an accessible, user-driven experience. Your daily work shifts from navigating transactions to simply engaging with intelligent agents that reduce complexity and deliver faster outcomes.

More Resources

See All Related Content