Circuitry.ai - Pioneering the Future of AI-Powered Business
Circuitry.ai, a groundbreaking startup on a mission to empower people and organizations to make intelligent decisions and achieve optimal outcomes.
When implementing an enterprise AI solution in your business, should you build or buy? We look at the pros and cons so you can decide what is best for you.
AI isn't just a technological advancement; it's a strategic imperative for manufacturing companies that want to survive and thrive. Industry analysts predict that companies will increase spending on AI software to $300 billion by 2027. But when it comes to implementing AI in your business, is it better to build or buy?
We'll discuss the pros and cons of building or buying an AI application so you can make an informed decision that best suits your needs.
How can manufacturing companies use AI?
By harnessing the power of AI-driven insights, marketing, sales, and service leaders in manufacturing companies can get a deeper understanding of customer behavior and intent. AI enables predictive analytics, allowing sales and marketing teams to anticipate customer needs, optimize pricing strategies, and deliver personalized experiences that drive engagement and loyalty. Some benefits of implementing AI are:
There are two ways to start using AI in your company:
Before choosing to build or buy AI software, it's important to evaluate the decision based on several critical factors to ensure that your choice matches your strategic goals.
By carefully weighing these factors, you can make an informed choice in your AI investment strategy.
Let's look at building an AI application first. It'll be different for every business, but generally, you'll need a dedicated team, upfront capital, computational resources, and a long-term support and maintenance plan. Let's look at the pros and cons of building an in-house AI solution:
A prebuilt AI solution, or AI as a Service (AIaaS), is a ready-to-use AI platform provided by a vendor. These AI solutions offer pre-trained models and tools that you can integrate into your applications or workflows. Let's look at the pros and cons of buying a prebuilt AI solution:
Now that we've discussed the difference between build and buy, which is right for your business?
Building your AI allows you to design the model how you want, with the features and functionalities that best suit your needs. You'll also be able to personalize your AI model as you see fit.
For example, let’s look at a supply chain organization. This organization already had a generative AI department and the budget to build an AI from scratch. The organization needed a custom AI solution with specific features to support its business objectives. The organization also preferred to retain full control over development, data, and intellectual property. In this scenario, building an AI would be a good choice.
Buying an enterprise AI as a service solution allows you to bypass the development wait time and access AI tools immediately at a much lower cost. You'll be able to use AI-powered tools without worrying about the overhead of an AI infrastructure or allocating resources for its ongoing maintenance.
For example, an equipment manufacturer needed a conversational AI solution to help them with long customer service wait times and impersonal interactions that were affecting customer satisfaction. By integrating conversational AI into its workflows, the manufacturer could quickly offer personalized, AI-powered support. In this scenario, buying an AI solution would be a good choice.
The choice to build or buy an AI solution will depend on your company's unique needs and strategic goals. In most cases, we recommend buying an AI solution. This method is the most cost-effective, provides immediate access to AI-powered tools, and requires no development or maintenance.
What if you want an ultra-personalized AI solution designed just for you but don’t want to spend a fortune building an AI solution? That’s where Circuitry.ai comes in.
We are a first-of-its-kind Enterprise AI as a Service (AIaaS) company focused on building intelligent business applications to optimize sales and service outcomes for manufacturers. Our innovative Data-Driven Decision Intelligence Models (3DMs) help you analyze, augment, and automate decisions, resulting in better outcomes for your business and customers.
What makes us different from other AIaaS solutions?
Training large teams and updating product collateral frequently can be time-consuming and costly. Contact us today, and we can show you how Product AIdvisor, powered by Gen AI, will improve your sales team's productivity with customer interactions, drafting proposals, and crafting email responses.
Circuitry.ai, a groundbreaking startup on a mission to empower people and organizations to make intelligent decisions and achieve optimal outcomes.
Accelerate service technician training with Gen AI to reduce costs, improve efficiency, and onboard your service team quicker.
The shift from Software as a Service (SaaS) to Enterprise AI as a Service (EAIaaS) is expected to be a transformational journey powered by AI.
Be the first to know about new decision intelligence insights to understand and engineer how AI-powered decisions are made and how outcomes are evaluated, managed, and improved.