Optimize productivity and now costs in your company thanks to AI

Although artificial intelligence has become one of the most popular topics worldwide today, there are still many companies that do not understand its magnitude.

This technology has become a very powerful tool that can significantly reduce costs, as well as offer other advantages such as increased efficiency, productivity, and decision-making processes. We review the key points of process automation and optimization with AI and analyze the positive results they can have when introduced in your business.

With all the advances that artificial intelligence has been making in recent months, AI-driven automation goes far beyond basic task automation, leveraging ML algorithms, natural language processing, and advanced statistical analysis to achieve greater adaptability to new tasks. This has made it a critical tool for competitive business benefits.

By automating routine tasks, minimizing human error, optimizing operations, and providing data-driven insights, AI enables companies to allocate resources more efficiently. As a result, this strategic implementation of AI not only reduces operating expenses but also improves overall business performance, creating a virtuous circle of efficiency and cost reduction.

One very obvious way to save costs through AI-driven automation is by reducing repetitive and routine tasks, such as accessing records, processing documents, or managing inventories. This makes AI a very powerful tool to seek competitive advantages for any business, but these are not the only advantages it offers:

• Minimizing errors with AI: Errors can not only delay the launch date of your product, but can also have a very high economic impact. But AI helps to minimize human errors and improve a company’s efficiency.
• Production improvement: Automation and optimization through AI is possible in many business areas, and production is one of them. Processes that require only a little human supervision can be automated, with the model also learning and improving.
• Improved decision making: By using AI to improve efficiency, data on customer behavior or market trends can also be analyzed, enabling more informed and data-driven business decisions.

An efficient business is not just a long-term or one-time goal, as efficiency is a continuous effort in all areas of a company. Becoming more efficient through AI systems improves customer service, generates savings, increases sales, and builds loyalty.

To achieve this level of efficiency and ROI, organizations must rely on other employees to devise, strategize, and learn how to work with AI. The use of AI is ushering in a new era of efficiency by automating repetitive tasks, analyzing large data sets to identify patterns and predict trends, optimizing complex processes, and providing information that facilitates better decision making. As a result, AI is empowering the work of employees, allowing them to focus on strategic and creative work and eliminating potential bottlenecks.

We have entered the era of AI agents, which are proactive and work autonomously to complete tasks on behalf of the user, as well as being able to strategize and evaluate an assigned objective.

These agents and co-pilots can use AI capabilities to receive instructions, break down the tasks needed to complete them, execute them, and get results.

As such, they are also a key tool when it comes to increasing productivity in a company. But to achieve all of this, employees must also be properly trained, and the necessary resources must be allocated to support new products.

The most efficient way to achieve this is by implementing AI capabilities in areas such as strategy execution, creative processes, workflow management, healthcare, human resources, manufacturing, sales, finance, and retail.

AI is driving organizations into the future, as well as improving employee efficiency, but this can only work when all parties involved are open to change and to embracing artificial intelligence as an ally and not an enemy.

There is no magic formula that applies to all companies equally when it comes to effectively implementing an artificial intelligence strategy, but there are some tips that will help you do so:

1. Identify key areas for optimization: Start with a thorough assessment of operations to identify inefficiencies and tasks that AI can optimize.
2. Automate repetitive processes: As mentioned above, AI-based automation minimizes labor costs by managing routine tasks, allowing employees to focus on strategic, high-value activities.
3. Optimize data usage: Reducing redundant or irrelevant data during AI model training and inference reduces computational costs without compromising accuracy. In addition, implementing sound governance practices ensures optimal performance and cost-effectiveness.
4. Leverage cloud infrastructure: Using IaaS platforms for AI model training eliminates the need for costly hardware investments. Companies can then scale their computational resources as needed, improving flexibility and ROI.
5. Collaborate with AI experts: Seeking AI partners or outsourcing development can be a cost-effective alternative to hiring an in-house team. This approach ensures expert advice and minimizes long-term operational expenses.
6. Monitor total cost of ownership (TCO): periodically assessing the TCO of AI deployments, including infrastructure, maintenance, and scalability cost,s can help companies manage expenses effectively, in addition to maximizing the value of the technology.

At Plain Concepts, we help you design your strategy, protect your environment, choose the best solutions, close technology and data gaps, and establish rigorous oversight that achieves accountable AI. You can achieve rapid productivity gains and build the foundation for new business models based on hyper-personalization or continuous access to relevant data and information.

We have a team of experts who have been successfully applying this technology in numerous projects, ensuring the security of customers. We have been bringing AI to our clients for more than 10 years, and now we propose a Framework for the adoption of generative AI:

• Unlock the potential of end-to-end generative AI.
• Accelerate your AI journey with our experts.
• Understand how your data should be structured and governed.
• Explore generative AI use cases that fit your goals.
• Create a tailored plan with realistic timelines and estimates.
• Build the patterns, processes, and teams you need.
• Deploy AI solutions to support your digital transformation.