From AI agent hype to practicality: Why enterprises must consider fit over flash

As we take full step in the autonomous transformation period, AI agents They change how the enterprises work and create value. How do we cut the hype with hundreds of sellers who claimed to offer “AI agents”, and how do these systems really do, and the more importantly, how should we use them?

The answer is more complicated than creating a list of the AI ​​agent’s benchmarks and create these tasks and a list of tasks that do not want. It can move faster than a jet car but is the wrong choice for travel to the grocery store.

Why should we not try to replace our work with AI agents

Each organization creates a certain value for customers, partners and employees.

This amount is part of creating a total targeted value (ie the total amount of the organization, the total amount, customers, partners and employees).

Each employee has a long list for the next day and if they could prioritize, the cost, time and effort, time and effort to be the dumping of cost, time and effort.

The easiest place to start with AI agents Looking at the work done and the resulting value. It simplifies the initial mental math, because you can already map the cost of the value that covers the same value to create the same value faster or more reliability.

There is nothing wrong with a phase in a transformation process in this exercise, but where most organizations and AI initiatives fail Given only in mind How the EU can now apply to the generated value. This narrows the majority of the brand value in the table, this narrower focuses on the narrow-based sliver and investments in the narrow coincide in the Venn diagram.

People and cars also have different strengths and weaknesses. Organizations cooperating with the work, technology and industry partners are just a value that focuses on a body and the overall cost growth is ahead of those who continue to endless automation.

Understand the AI ​​Agent Opportunities through Spar Frame

To help explain AI agents are workingWe created our spar frame: Sense, plan, law and reflect. This framework provides a natural way to understand how people achieve our goals and how AI agents work.

Slack: As we use our feelings to collect information about the world around us, AI agents collect signals from the environment. They follow triggering, collecting relevant information and watch the operating context.

Planning: After an agent collected the signal about its environment, it just jumps into the execution. As people review their choices before moving, AI agents are designed to process the information available in the context of information available to achieve their goals and achieve their goals.

Acting: The ability to move specific action is a bunch of AI agents other than simple analytical systems. To execute the tasks, coordinate multiple tools and systems to track their actions in real time and make adjustments to stay in the course.

Reflect: Perhaps the most complex ability is to learn from experience. Advanced AI agents can evaluate their performance, analyze the results and determine their approach to their approaches – their approach to the constant development period.

What makes AI agents strong is to create a system that can create complex targets with increased delicacy, which works in an integrated period of four abilities.

This intelligence capability may be contrary to existing processes several times more optimized by digital conversion. Their reconstruction can earn small short-term earnings, but can create value and explore new methods to prepare new markets and grow the exponent.

5 Steps to set up your AI Agent Strategy

Most technologists, consultants and business leaders follow a traditional approach when submitting AI (87% accounting for failure rate):

1. Create a list of problems;

or

1. Explore your data;
2. Choose a number of potential use cases;
3. To analyze the cases of use for the investment (ROI), expediency, cost, schedule;
4. Choose the bottom of their use and invest in execution.

This approach shows that the data is not working because it is understandable to be the best experience. It’s time for a new approach.

1. The map was able to present to your customers and partners, taking into account your basic powers and market regulation and geopolitical conditions of your organization.
2. Evaluate the creation of the current value of your organization.
3. Choose the best five five and market preparation opportunities to create new value for your organization.
4. Engineer AI agent solutions, Roi, analyze the feasibility study, value and schedule (repeat 3 and 4 steps if necessary).
5. Select the bottom of value events and invest in execution.

To create new value with AI

Travel to the autonomous transformation period (by creating value with more autonomous systems) is not a sprint – it is a strategic progress in combination with technological progress. Mostly determining the cost and growing ambitions, determining your organization in the period of AI agents.

Is the author of Brian Evergreen Autonomous Transformation: Create more people in the period of artificial intelligence

Pascal is the author of Boret Agentic artificial intelligence: Use AI agents to rediscover work, work and life

Teaching a new online course with AI agents with Kozyrkov Kozyrkov, Yüşayashig and Bornet Kozyrkov: An agent artificial intelligence for leaders