Are You Aware That BOTs Can Manage Your SAP GRC User Access Reviews(UAR)?
AI driven automation in GRC. The User Access Review functionality is built into SAP GRC Access Control and it's great for smaller companies with only a couple of thousands of users. What if you need to perform this for 40,000+ people?

Managing multiple managers and completing the activity within time is a tricky task. Periodic follow-ups and working on weekly reports is not only a time-consuming activity but also a cumbersome one.

#ToggleNow developed an automated BOT that will send periodic reminders when a request is not closed within the specific SLA, and rules to automatically handle tasks such as escalating it to the next level manager, auto reviewing the request, and updating the status, and so on are implemented with BOTs.

If we could reduce the UAR timelines from months to weeks, that would be a tremendous help. Isn't it?

AI driven automation in GRC will help you to streamline business processes and reduce costs. We can build one for you too!

ToggleNow – The GRC automation experts

ToggleNow Software Solutions Pvt Ltd, Santosh Nasine, Kritika Kadam, Sindhu Sowmitri

Raghu Boddu
Meet Raghu Boddu an expert in SAP Security and Governance, Risk, and Compliance (GRC). With over 20+ years of experience in the field, Raghu has a deep understanding of the nuances and complexities of SAP systems and how to keep them secure. Raghu has worked with various clients across different industries, helping them implement effective security and GRC strategies to protect their sensitive data and meet regulatory compliance requirements. Raghu is a respected thought leader in the SAP security and GRC community, regularly sharing insights and best practices through presentations and publications. Whether you're looking to improve the security of your SAP system or ensure compliance with relevant regulations, Raghu can provide the guidance and expertise you need to succeed.

Read more:

https://togglenow.com/automation-stories/ai-driven-automation-in-grc/

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Why Businesses Are Embracing AI-Powered Customer Support
Support teams are under pressure. As businesses scale, so does ticket volume, but hiring more agents isn’t always sustainable. That’s where AI steps in. With a well-designed AI chatbot, your team can reduce repetitive questions, resolve tickets faster, and focus human agents on high-priority or complex issues.
AiSentr’s platform makes this even more accessible. With no-code setup, teams can launch and train support chatbots using natural language and existing documentation. You don’t need developers, APIs, or expensive integrations — you just connect your tools, define your goals, and the AI handles the rest.
The result is faster support, fewer errors, and a better experience for everyone involved.
AI Chatbots vs Traditional Chatbots: What’s the Difference?
Traditional chatbots are limited. They rely on fixed paths, rule-based logic, and keyword matching. When a user steps outside the script, these bots break down. They’re useful for FAQs or basic lead capture, but they can’t handle the complexity of real conversations.
AI-powered support chatbots, on the other hand, are dynamic. They learn from past interactions, use real-time data, and adapt their responses based on the context. They can reference account information, summarize past conversations, and take intelligent action without manual input.
This makes them far more effective for real-world customer service scenarios — especially when integrated across platforms like Slack, Gmail, WhatsApp, Microsoft Teams, or Outlook.
What Makes a Great AI Chatbot for Customer Service?
The best AI chatbots do more than talk — they deliver outcomes. AiSentr’s platform allows users to connect their chatbot to live data sources like Notion, SharePoint, Google Drive, Salesforce, or HubSpot. That means the bot can actually retrieve a document, check a support history, or populate a CRM field — all from within a single chat thread.
It’s not just about conversation. It’s about action, context, and continuous improvement. These are the features that separate a simple chatbot from a true AI customer support assistant.
When your chatbot understands unstructured data, handles follow-ups, and resolves issues independently, you’ve got a system that’s adding real value to your support pipeline.
No-Code AI Means Anyone Can Build One
In the past, launching a support chatbot required engineering teams, third-party consultants, and custom integrations. Now, thanks to platforms like AiSentr, teams can launch AI-powered support agents with no code at all.
You can create an AI chatbot that responds to Gmail messages, accesses SharePoint docs, integrates with Slack, and pushes updates to HubSpot — without a single line of code. You just set the intent, connect your data, and define the behavior using natural language.
This unlocks automation for non-technical teams, making it easier for operations managers, customer success leads, or founders to create and manage smart support flows.
Real-World Use Cases of AI Support Chatbots
Businesses are using AiSentr to power real results in customer support. Some use AI agents to automatically answer product questions pulled from a knowledge base. Others use bots to guide customers through troubleshooting steps, using past support logs to personalize responses. Some even use the AI to triage incoming tickets, assign urgency, and route them to the right agent — cutting resolution time in half.

In contrast to some generic AI chatbot platforms, AiSentr gives full transparency and enterprise-level security — without adding complexity.
How to Get Started With AiSentr
Launching an AI support agent with AiSentr takes minutes. You start by connecting your communication tools — like Slack, Gmail, or WhatsApp — then link your knowledge sources and CRMs. From there, you train your agent using prompts or sample interactions.
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This means your support system gets smarter, faster, and more reliable — without the heavy lift.

Conclusion: AI Chatbots Are No Longer Optional
In 2025, an AI chatbot for customer support is more than a smart add-on — it’s a core part of your operations strategy. Customers expect fast, helpful service. Teams need scalable tools. And businesses need automation that works across platforms without sacrificing quality.
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How AI-Powered Automation Is Redefining Customer Support in 2025
The Rise of AI Chatbots in Customer Service
In 2025, customer service is no longer just about fast replies — it’s about intelligent, contextual support delivered wherever the customer is. AI-powered automation, especially through AI chatbots, is transforming how businesses manage support, scale conversations, and drive better experiences without increasing headcount.
At the heart of this shift is the AI chatbot for customer service — a smart, adaptable virtual assistant that goes far beyond scripted replies. These bots don’t just handle FAQs; they integrate with your platforms, learn from your data, and deliver consistent service across multiple touchpoints.
What Makes a Great AI Customer Support Chatbot?
Not all AI chatbots are created equal. The best AI chatbot platforms in 2025 do more than mimic conversation — they understand context, automate workflows, and improve over time. Businesses are turning to no-code chatbot builders and agentic AI platforms that require no programming knowledge but deliver high-level results.
With tools like AiSentr, even small teams can create chatbots that:
Respond intelligently on websites, apps, or messaging platforms


Pull data from CRMs like Salesforce or HubSpot


Retrieve documents from SharePoint, Notion, or Google Drive


Summarize support history and respond with context


Route complex issues to live agents


This is where customer support automation starts showing its real power — blending artificial intelligence with operational efficiency.
No-Code Platforms: Making Automation Accessible
In the past, building a chatbot meant hiring developers or integrating multiple APIs. Now, no-code AI platforms allow anyone — from customer service managers to operations leads — to build and deploy AI assistants quickly.
Using drag-and-drop logic, pre-trained models, and easy integrations, platforms like AiSentr let you connect your chatbot to:
Slack, Microsoft Teams, WhatsApp


Gmail and Outlook


CRM tools like Salesforce and HubSpot


Knowledge bases like Notion and Confluence


Unstructured data sources like Google Drive and OneDrive


This shift toward no-code design isn’t just a convenience — it’s a breakthrough in how businesses of all sizes can automate customer interactions without touching code.
Conversational AI vs Traditional Chatbots
Many companies still use basic rule-based chatbots that follow decision trees and canned responses. But the rise of conversational AI for customer service is making those tools obsolete.
Conversational AI:
Understands natural language


Maintains context across conversations


Delivers personalized support


Can complete multi-step tasks like booking, data entry, or report generation


These systems are often agentic, meaning they’re goal-oriented and capable of learning. That’s why agentic AI platforms like AiSentr are gaining popularity — they enable businesses to create AI that doesn’t just respond, but actually helps.
AI Customer Support: Real Use Cases in 2025
Here’s how companies are using AI customer support chatbots today:
E-commerce stores use AI chatbots to manage order tracking, returns, and product recommendations — reducing live agent load by up to 60%.


SaaS companies deploy bots in Slack and email to provide onboarding assistance, troubleshoot issues, and gather customer feedback.


Financial services rely on secure AI chatbots for account queries, transaction summaries, and fraud alerts.


B2B companies use chat automation to qualify leads, book demos, and escalate enterprise inquiries.


These examples show the variety and versatility of modern chatbot customer experience strategies.
Integration Is Everything
A great chatbot is only as good as the data and tools it can access. That’s why integration is key. AiSentr stands out by connecting your AI agent to the systems you already use — without custom development.


These are the pillars of a sustainable, scalable AI customer support strategy in 2025 and beyond.
Future-Proofing Your Support Stack
Customer expectations will continue to grow, and so will the complexity of handling them. By investing in AI automation tools now — particularly platforms that support conversational AI, agent-based workflows, and cross-platform support — you’re not just keeping up, you’re building resilience into your operations.
The best part? You don’t need to hire a full-time AI team to get started.

Conclusion: AI That Works for You
The future of customer support is automated, personalized, and intelligent — and thanks to no-code tools and AI agents, it’s more accessible than ever.
With platforms like AiSentr, any business can deploy an AI chatbot for customer service that saves time, scales service, and improves experience — without the usual tech complexity.
Start building your AI-powered support system today at www.aisentr.com