What is Agentic AI?

Agentic AI is a network of smart AI agents that can handle tasks from start to finish across different business applications. These agents can learn, adapt, and get better over time, much like a human worker. Unlike traditional AI models that mostly gather information or create simple documents, Agentic AI can take action on its own with minimal help from humans, managing complex tasks and making decisions as needed.

Let’s look at how Agentic AI is used in real business situations.

Example 1 - Responding to an RFP

Big companies often spend a lot of time and effort responding to Requests for Proposals (RFPs). This process usually requires many employees and can take days or even weeks. This makes RFP responses a great candidate for automation. Here’s how Agentic AI compares to traditional AI models:

• Traditional AI Approach:
  • Input a query and upload a few previous RFPs.
  • Manually gather and enter customer details.
  • Generate a draft with the AI model.
  • Employees then spend hours refining the draft to fit the customer’s needs.
• Agentic AI Approach:
  • Import thousands of past RFPs and product information by connecting to internal databases.
  • Pull and customize details from the customer’s website.
  • Use natural language instructions to create all parts of the proposal, including pricing and terms of service.
  • Continuously improve each proposal with feedback from humans.

You can learn more about how Agentic AI is transforming proposal writing for large enterprise customers across the globe in this Youtube video

Example 2 - Building an assistant for prior authorization in healthcare

A common challenge faced in healthcare is the problem of prior authorization. Prior authorization is a process used in healthcare where a healthcare provider must obtain approval from a health insurance company before prescribing a specific medication, treatment, or service to ensure it will be covered under the patient's insurance plan. The main purpose of prior authorization is to control costs, ensure that the treatment is medically necessary, and to prevent overuse or misuse of certain treatments.

Agentic AI can help streamline this process by enabling users to access information about 1000s of drugs across 100s of exceptions. This can be done through a prior authorization chat assistant where users can simply ask if a certain medication can be prescribed to a particular patient. Lets’ look at how Agentic AI would solve this problem compared to a traditional LLM

• Traditional LLM Approach (<10% accuracy)
  • Input necessary drug policies as pdfs
  • Manually create and upload a rule book that explains the conditions under which a drug can be prescribed
  • Manually verify if these policies/studies have been updated since the knowledge base was last revised.
  • Repeat the entire process for each new user input
• Agentic AI Approach (>90% accuracy)
  • Connect to internal DB to access drug policies. Augment that information by connecting to public URLs to update the database
  • The agent will create a rule validation playbook and apply that to each new use case
  • Humans can share feedback to the agent which will learn and improve
  • The more user inputs, the better the system gets.

See how the agentic approach to solving this problem looks like in this video

Examples of Agentic AI being used in enterprises today

Agentic AI is already creating impact in large enterprises across the world. In a study by McKinsey, Agentic AI was expected to increase automation by at least 20-30% across industries.

From industry giants like Pepsi to innovative newcomers like Moneyview, Agentic AI is quickly becoming a key player in business automation. Here are some examples of how Agentic AI can significantly boost productivity:

• Claims Processing: A major Dutch insurance company achieved up to 90% automation in claim processing with Agentic AI.
• Resume Screening: PepsiCo used AI agents to dramatically speed up their resume screening process.
• Paralegal Assistance: A top immigration services provider is using Agentic AI to help paralegals save time by answering employee queries more efficiently.
• Customer Support: Companies like TrueLayer and Moneyview are leveraging Agentic AI to resolve complex support tickets in multiple languages.

The flexibility of Agentic AI means it can address 100s of use cases across departments and industries. Find some more examples here

Read How Ema Helped Envoy Global:

Envoy Global, a global immigration services provider, faced growing demands to manage the workforce needs of over 1,500 companies. Struggling with lengthy response times, they sought a solution to streamline their legal and support processes. Ema's AI Customer Support Assistant was chosen to automate ticket responses. After seamless integration, it resolved over 50% of support tickets, cutting the workload by 70-80%. This freed up Envoy's legal teams to focus on complex cases, showcasing the efficiency and scalability of Agentic AI.​ Read more!

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