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  • 2 min read

    Living in the Future

    All management teams want to position their company to weather the ups and downs of a business cycle without compromising its ability to thrive. The key to that goal is optimizing profit targets. While all organizations generally apply some effort to profit optimization initiatives, I have found that when those attempts fall short, it is because they lack a strong framework for establishing the right targets or a strategy for executing on their goals. Establishing this kind of framework is all the more important when economic trends are gloomy. A potential recession can cast doubt on expected revenue growth and cash flows. Inflationary pressures push wages, material costs, and operating expenses upward, eroding profitability unless they are swiftly countered with price increases or other offsetting levers. Step 1: Define Optimal Profitability and Establish Targets As Yogi Berra famously said, you have got to be very careful if you do not know where you are going, because you might not get there. Once you untangle this advice, it applies to all strategic planning. When dealing with profit optimization, it is critical that management does not engage in initiatives that deliver short-term improvements at the expense of long-term strategic objectives. You have got to be very careful if you do not know where you are going because you might not get there. Frequently, I see management teams set goals without knowing the true potential of their business. Traditionally, you would analyze your historical data in order to estimate future profitability targets — however, that can shortchange your organization. Step 2: Identify Levers to Optimize Profitability Regarding the income statement, I like to take a top-down approach to identifying operating levers so that revenue is the first item under review. The guiding questions during this stage of the process should be: What revenue factors contribute most significantly to EBITDA margins? Which of these factors does management have the most control over? Which of these factors can help management differentiate the business and establish a competitive advantage?

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  • 1 min read

    What Is an AI Agent and How Does It Work?

    Artificial intelligence is no longer just about answering questions. A new generation of AI systems — called agents — can plan, decide, and act on their own to complete complex tasks. But what exactly is an AI agent, and how is it different from the AI tools you may already be using? The basic idea An AI agent is a software system that perceives its environment, processes information, and takes actions to achieve a specific goal, often without a human having to guide every step. Unlike a chatbot that responds to a single prompt, an agent can break a task into steps, execute each one, evaluate the result, and adjust its approach along the way. Why it matters now Three things changed at once: models got good enough to plan, tools became callable from a conversation, and the systems around them learned to keep a record. Together they turn a clever answer into finished work.

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    • Product Updates
  • 1 min read

    What Is an AI Agent and How Does It Work?

    Artificial intelligence is no longer just about answering questions. A new generation of AI systems — called agents — can plan, decide, and act on their own to complete complex tasks. But what exactly is an AI agent, and how is it different from the AI tools you may already be using? The basic idea An AI agent is a software system that perceives its environment, processes information, and takes actions to achieve a specific goal, often without a human having to guide every step. Unlike a chatbot that responds to a single prompt, an agent can break a task into steps, execute each one, evaluate the result, and adjust its approach along the way. Why it matters now Three things changed at once: models got good enough to plan, tools became callable from a conversation, and the systems around them learned to keep a record. Together they turn a clever answer into finished work.

    • AI Agents
    • Introduction
  • 1 min read

    What Is an AI Agent and How Does It Work?

    Artificial intelligence is no longer just about answering questions. A new generation of AI systems — called agents — can plan, decide, and act on their own to complete complex tasks. But what exactly is an AI agent, and how is it different from the AI tools you may already be using? The basic idea An AI agent is a software system that perceives its environment, processes information, and takes actions to achieve a specific goal, often without a human having to guide every step. Unlike a chatbot that responds to a single prompt, an agent can break a task into steps, execute each one, evaluate the result, and adjust its approach along the way. Why it matters now Three things changed at once: models got good enough to plan, tools became callable from a conversation, and the systems around them learned to keep a record. Together they turn a clever answer into finished work.

    • Use Cases
    • Product Updates
  • 1 min read

    What Is an AI Agent and How Does It Work?

    Artificial intelligence is no longer just about answering questions. A new generation of AI systems — called agents — can plan, decide, and act on their own to complete complex tasks. But what exactly is an AI agent, and how is it different from the AI tools you may already be using? The basic idea An AI agent is a software system that perceives its environment, processes information, and takes actions to achieve a specific goal, often without a human having to guide every step. Unlike a chatbot that responds to a single prompt, an agent can break a task into steps, execute each one, evaluate the result, and adjust its approach along the way. Why it matters now Three things changed at once: models got good enough to plan, tools became callable from a conversation, and the systems around them learned to keep a record. Together they turn a clever answer into finished work.

    • AI Agents
    • Introduction
  • 1 min read

    What Is an AI Agent and How Does It Work?

    Artificial intelligence is no longer just about answering questions. A new generation of AI systems — called agents — can plan, decide, and act on their own to complete complex tasks. But what exactly is an AI agent, and how is it different from the AI tools you may already be using? The basic idea An AI agent is a software system that perceives its environment, processes information, and takes actions to achieve a specific goal, often without a human having to guide every step. Unlike a chatbot that responds to a single prompt, an agent can break a task into steps, execute each one, evaluate the result, and adjust its approach along the way. Why it matters now Three things changed at once: models got good enough to plan, tools became callable from a conversation, and the systems around them learned to keep a record. Together they turn a clever answer into finished work.

    • Use Cases
    • Product Updates