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The Dual Impact of Agentic AI

The Dual Impact of Agentic AI | PhenomeCloud
The Dual Impact of Agentic AI | PhenomeCloud

 

 

The-Dual-Impact-of-Agentic-AI

 

What is Agentic AI?

Agentic AI refers to AI systems designed to operate with autonomy by learning and adapting to achieve predefined goals. Unlike traditional AI, agentic AI interacts with its environment, makes decisions, and carries out multi-step workflows independently. This adaptable nature enables it to optimize business functions for maximum productivity and satisfaction.

Transforming Both Customer and Employee Experience

Here’s how Agentic AI delivers benefits across various business functions:

1. Customer Service

Agentic AI systems vastly improve the speed, consistency, and accuracy of customer interactions, elevating customer satisfaction while reducing employee workload.

Benefits for Customers:

Proactive Responses: AI agents anticipate customer needs and address them before they become issues. For instance, an agent can detect a potential delivery delay and notify the customer with updates and compensation offers.

24/7 Support: Customers receive instant help, even outside traditional working hours, improving accessibility and convenience.

Benefits for Employees:

Less Repetition, More Focus: Human customer service agents are freed from answering FAQs or solving routine queries, allowing them to focus on meaningful, complex customer concerns.

Integrated help: AI systems like Ema company’s chatbots retrieve real-time data from disparate systems, supplying human employees with accurate information to enhance their responses.

Case Study:

Ema, an AI startup, has developed active virtual assistants that integrate with multiple databases to resolve queries dynamically. This solution reduces issue resolution time for customers, while cutting repetitive workloads for employees.

2. Human Resources

The talent acquisition and management process are highly labor-intensive parts of any business. Agentic AI is reshaping every stage of HR, enhancing the experience for prospective candidates, existing staff, and HR teams alike.

Benefits for Candidates (Customers):

Objective Hiring Process: AI reduces bias during the candidate screening process, offering fairer hiring opportunities.

Personalized Onboarding: AI agents dynamically plan onboarding schedules, tailoring training based on the candidate’s background and the job’s requirements.

Benefits for HR Teams:

Streamlined Recruitment: Agentic systems like IBM Watson Recruitment have automated resume parsing, candidate scoring, and interview scheduling, expediting the hiring process.

Engagement Insights: Analyzing sentiment in employee feedback, agentic AI identifies early disengagement risks and recommends interventions.

Example:

Banks like Citi use AI-driven agents that not only screen candidates rapidly, but also conduct predictive assessments to match applicants with the company’s culture, saving HR teams’ valuable time.

3. Data Analysis

Employees often face data overload, while customers feel the negative impact of decisions made using outdated or incorrect information. Agentic AI solves both challenges simultaneously by analyzing and organizing massive datasets for better use.

Benefits for Customers:

Accurate Recommendations: Agentic systems sift through customer data to tailor personalized product suggestions or services.

Rapid Problem-Solving: Customers get faster and more accurate resolutions driven by agentic systems that analyze their history in seconds.

Benefits for Employees:

Simplified Data Workflows: Employees spend less time manually compiling reports or running analyses. For example, sales teams can use insights generated instantly by agentic systems.

Trustworthy Insights: By eliminating human errors in data analysis, Agentic AI ensures employees have accurate, high-quality data to make decisions.

Case Study:

Salesforce’s Agent Force Sales Coach helps sales teams analyze customer sentiments and provide targeted recommendations, enabling employees to better align with customer needs.

4. Supply Chain Management

Supply chains are highly complex ecosystems that benefit immensely from the autonomous, data-driven decision-making powers of agentic AI.

Benefits for Customers:

Reliable Deliveries: By preemptively adjusting supply chain workflows to prevent delays, agentic AI ensures customers receive products on time.

Sustainability: Optimized routes and operations reduce waste and emissions, aligning with eco-conscious customer values.

Benefits for Employees:

Effortless Operations Tracking Warehouse managers get real-time updates and can address issues proactively.

Energy Optimization Data-driven insights help maintain optimal use of resources, reducing unnecessary expenditures.

Example:

FedEx uses agentic AI to map real-time transportation routes, giving employees insights on delays and ensuring seamless delivery schedules.

5. Marketing

Agentic AI provides marketers with advanced tools to create personalized campaigns while simplifying employee workflows.

Benefits for Customers:

Tailored Experiences: AI systems analyze browsing and purchase behavior to recommend relevant products and offers, enhancing the overall shopping experience.

Active Engagement: Customers feel valued when AI provides timely reminders and messages based on their activity patterns.

Benefits for Employees:

Faster Campaign Management: AI-powered agents like Jasper streamline content writing and campaign delivery, allowing marketers to develop strategies faster.

Actionable Analytics: Demographic and behavioral insights guide employee efforts to focus on high-performing channels.

Example:

E-commerce giant Amazon uses agentic AI to customize product recommendations for customers while automating backend tasks for employees, ensuring that marketing campaigns are both timely and efficient.

Dual Benefits Highlighted

The dynamic power of agentic AI lies in how it harmonizes the needs of both employees and customers:

For Employees: Time-consuming, repetitive tasks are automated, freeing up headspace for strategic and impactful work.

For Customers: Personalized, prompt, and active experiences foster trust, loyalty, and satisfaction.

Overcoming Challenges

One challenge with agentic AI is ensuring transparency in decision-making, particularly in high-stakes environments like healthcare or finance. For businesses to implement agentic AI successfully, the focus should be on:

Explain ability: Enabling employees and customers to understand how decisions are made.

Human Oversight: Setting clear boundaries between tasks AI can handle autonomously versus those requiring human intervention.

SMART Goals: Defining specific, measurable, achievable, relevant, and time-bound objectives for agentic AI systems ensures they benefit all stakeholders effectively.

The Future is Agentic

Agentic AI has already proven its potential to create harmonious relationships between employees and customers across departments like HR, customer service, and supply chain management. Its autonomy and ability to adapt bring efficiency to workflows while delivering top-tier experiences to end-users.

By leveraging agentic AI, your business can gain happier customers, more empowered employees, and a significant competitive edge.

Are you interested in integrating Agentic AI into your workflows?

Let’s talk about how you can start with a small project and build out as you gain experience. Reach out to our AI team.

Phenom eCloud is a comprehensive technology solutions provider committed to empowering businesses to overcome challenges, enhance their workforce capabilities, and achieve superior outcomes.

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