Exploring the Future of AI: Insights from CS LATAM 2024

At the recent CS LATAM 2024 conference, organized by Camscat (CĂĄmara de Servicios Corporativos de Alta TecnologĂ­a) in San JosĂ©, Costa Rica, Antonio Briceno Bonilla, Beyondsoft Costa Rica Country Manager and I presented on the transformative power of AI Agents. As AI evolves, businesses must consider embracing technologies like AI Agents to stay competitive. Innovations from companies such as Microsoft and Salesforce are placing AI Agents at the forefront of their strategies, highlighting their growing importance in today’s fast-paced world.

At Beyondsoft, we’ve worked with clients to transition from Business Intelligence (BI) systems focusing on data visualization and automation, to more advanced AI technologies like Machine Learning (ML) and Deep Learning. As AI continues to evolve, the rise of Generative AI shifted the focus toward solving complex, dynamic problems and fostering human-like interactions.

From left Todd Watts explained the efficiency and effectiveness of BI, ML, and AI combined. On right, Antonio is the co-presenter of this event.

The development of AI Agents represents the culmination of this journey, combining real-time data analysis with autonomous decision-making to help you adapt and thrive in an evolving business environment.

Why Should You Care About AI Agents?

In this increasingly dynamic markets, efficiency, adaptability, and scalability are more important than ever. AI Agents will offer a significant advantage because they will:

  • Automate Manual Workflows Accurately: AI Agents connect multiple data sources and simplify high volumes of repetitive tasks, such as routine queries or processing standard requests with high accuracy. They can spot common themes, mistakes, and give recommendations with precision.
  • Improve Problem Solving: By leveraging real-time data and predictive analytics, AI Agents allow you to make smarter, faster decisions, and frees up your time to focus on strategic issues that drive growth and innovation.
  • Personalize Customer Experiences: With dynamic, real-time interaction capabilities, AI Agents provide personalized recommendations and support, increasing customer satisfaction.
  • Reduce Operational Costs: From managing supply chains to detecting fraud, AI Agents improve operations by reducing errors and speeding up processes.

In essence, AI Agents will enable businesses to do more with fewer resources, making them highly competitive in today’s environment. Companies that integrate AI Agents are equipped to adapt to new challenges and opportunities.

AI Agents as a Network of Agents

The true strength of AI Agents becomes evident when they operate as a network of agents, each performing specialized tasks in complex, multi-step workflows. This multi-agent system allows businesses to distribute processes to individual agents, enabling parallel execution and communication across departments.

In a manufacturing setting, for example:

  • One agent might handle inventory management, ensuring optimal stock levels.
  • Another agent could focus on quality control, monitoring production lines and identifying defects.
  • A third agent would fine-tune supply chain logistics, ensuring materials are delivered on time and costs are minimized.

These agents work together to fine-tune operations, reduce downtime, and increase productivity. We have helped many clients deploy AI-powered applications, AI chatbots, and networks of agents, resulting in cost savings, increased scalability, and greater flexibility in managing complex business operations.

By 2026, 25% of AI Initiatives will utilize AI agents, improving reliability and transparency by combining deep learning foundation models with knowledge graphs or other composite AI elements.

Top AI Trend: The Mandated Shift from Experiment to Execution GartnerÂź

Proven Success: Transforming Enterprise Communication with AI

A real-world example of leveraging AI Agents comes from a large electronics manufacturer that needed to overhaul its internal HR and IT workflows. Their legacy chatbot system required significant manual updates and couldn’t scale with user demand.

By integrating AI-driven early stage chatbot agents for Smart Q&A, Intelligent Content Generation, Smart Workflow Management, and Intelligent Customer Service, we improved their internal communication processes for employee interaction with HR and IT. Here are the initial results:

  • Employees are more reliant on using the early stage chatbot agents for answers and we have seen user interactions increase from 50 to over 2,500 per day.
  • Response accuracy improved to over 90% without human intervention. Our client scaled their internal support without adding more team members and significantly reduced operational costs.

Today, the system supports six new scenarios with minimal maintenance, including workflow management and IT customer service. While the solution is still fundamentally a chatbot, its enhanced ability to connect with HR and IT systems allows it to function as an early form of an AI Agent system. These agents can execute specific tasks enabling efficient automation across multiple departments and improving internal efficiency.

Getting Started with AI: A Pragmatic Approach

Successfully integrating AI Agents into a business requires a strategic, phased approach. If you have yet to experiment with AI, here are a few actionable steps to get started:

  1. Evaluate Common AI Scenarios in Your Industry
    Connect with peers and trusted advisers to understand what works and what doesn’t in AI. Discover the “aha” moments and why some of your peers are investing in them.
  2. Review Your Current Workflows and Processes
    Identify common customer dissatisfaction scenarios and pinpoint how each stage can be addressed digitally. Innovation often arises from customer dissatisfaction.
  3. Get Executive Buy-In
    Build a strong business case based on tangible outcomes and operational successes using AI and pinpoint areas where your customers will be delighted with the new improvements.
  4. Assess People and Technology Readiness
    Observe your team’s culture and technological readiness. Set clear expectations for the short-term and long-term benefits.
  5. Enhance Security and Compliance Agility
    Identify areas for improvement to strengthen your security posture, reduce risks, and stay ahead of evolving cyberattacks with AI. Schedule periodic check-ins to ensure your AI Agents are meeting your expectations.

As we discussed at CS LATAM 2024, whether you’re looking to boost efficiency in the short term or drive long-term innovation, AI Agents offer the flexibility and intelligence needed to stay ahead in a rapidly evolving world.

Next Steps

If you are ready to explore how AI Agents can transform your business, let us work together to discover how AI can support your strategic goals.

Reference

Gartner Insights, “The Top AI Trends: The Mandated Shift from Experiment to Execution”, 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.