Artificial intelligence (AI) and its subsets, such as agentic AI, have been making their way around the workplace, healthcare, education, academia, and other areas. With demand only increasing, numerous providers of agentic AI solutions and tools continue to emerge. This makes it challenging for many companies to find the right business partner.

As companies hunt for agentic AI solution providers, there are specific essential considerations that need to be kept in mind. Not only can the search process take time, but delays could also result as companies are liable to fall behind their competition. In addition, the solution provider must have adequate, secure, and working product offerings. Otherwise, companies risk their reputation, security, and the privacy of their clients and data. In this article, we will discuss several factors that companies need to keep in mind when searching for an agentic AI solution.

Expertise and experience

Experience and expertise are some of the main pillars that companies need to consider when searching for an agentic AI solutions provider. Consider providers with a proven track record of delivering effective, working, and successful results.

A provider that has multiple working solutions and tools for your industry is usually the best choice. This is because such a provider will offer more value to your organization and will have a deeper understanding of business requirements and the challenges encountered. For example, supporting medical writers with a solution that automates clinical study reports (CSR) is of greater value when combined with a tool that automates the generation of Tables, Listings, and Figures (TLFs). This is because TLFs are needed to create CSRs, making the combined value of the solutions more significant to the medical writing teams.

In addition, you need to consider the team behind these products, from data scientists to software engineers, and the other stakeholders necessary to design, develop, and deploy effective and working agentic AI solutions that meet your business needs.

Technology stack

An expansive tech stack is yet another critical factor to ponder when searching for an agentic AI solutions provider. Why is this important? Well, because you need to ensure that your provider can handle the data that you throw at them. For example, PyTorch and TensorFlow are among the most commonly used frameworks to develop agentic AI tools. Your IT team could require one of these to be used under the hood for various reasons, so it’s important to know and involve them in the decision.

In addition to the above, as a company, you need to understand the provider’s expertise in cloud-based technologies, like Amazon Web Services (AWS) and other cloud providers. This part is vital to know how flexible and scalable they can be.

Customization and flexibility

Agentic AI solutions are not one-size-fits-all because every business sector and company has its own unique needs. Therefore, it is also critical to partner with a provider that offers customized solutions that can be tailored per your business demands. In other words, a provider with flexible solutions and tools that can be seamlessly integrated across multiple functions or subfunctions in the same department, yet offer unique value in every area. For example, a medical writing team at a company could have a general outline for a patient narrative, yet the way it is written is unique per therapeutic area. This is where the power of flexibility and customization can be realized.

In addition to the above, solutions integration capacity is another strong consideration. This is why, when choosing a provider, it’s essential to check whether their solutions can be integrated with your existing systems and processes.

Scalability

As businesses continue to grow, their needs change and evolve. Therefore, when partnering with an agentic AI solutions provider, you need to ensure that their offerings are scalable across your organization and that their products are suitable to fuel and drive your company’s growth in the process. For example, if an agentic AI solution deals with data to create reports or various types of content, you need to make sure that it can handle an ever-increasing amount of data because information size and complexity increase as your organization scales. If the solution fails you as you grow, it will have cost you time, money, and possible reputation damage.

Cost and pricing

This is one of the most essential factors that play a role when choosing an agentic AI solution provider. Seek a provider with a transparent and solid cost structure that can meaningfully reduce your operational costs. Also, check the type of the pricing model, whether it is a pay-per-use or a subscription-based model. When performing cost comparisons, also consider whether the price of training is included or not, as this is an important aspect if you want to utilize the solution effectively.

Customer Support

This is another crucial point, especially in the post-purchasing period. Check if the support team has solid experience in addressing client issues. Also, weigh if the customer success program can help you if you confront any known challenges you might face.

Industry reputation

The provider’s industry reputation should also be researched. When doing your homework, try to check their website, blog, and other places, which can help you form an opinion about the company and its products. Who do they collaborate with? Are any of their clients or partner companies notable? Are any of their clients in the same industry as you? These are all great questions to be thinking about as you look around.

Continuous improvement

As your organization evolves, it should continuously improve. As the field of agentic AI sees rapid significant milestones across a short period of time, it will become even more paramount to find providers who continuously improve and update their own solutions to match and exceed the best industry standards. You can assess these aspects by evaluating the provider’s commitment to research and development, which can ensure that they stay ahead of the curve.

Ethical and regulatory considerations

Ethical and regulatory considerations should also play a role when selecting a suitable agentic AI solution provider. Ensure that the provider has a solid ethical foundation and is committed to responsible AI development. Read their mission statement. Check with the BBB for any complaints. Make sure they follow the latest regulatory requirements set forth by governing bodies (like the European Parliament’s new AI rules). Working with ethical companies is a given.

Narrativa: your go to company

At Narrativa, we offer a plethora of agentic AI and related options to help supercharge your business. We host our own platform, which gives our clients multiple benefits, such as ease of use, flexibility, customizability, and privacy. It is designed so that non-programmers can use it, as it requires no coding experience.

The industries we serve and in which we have a depth of experience include Life Sciences, Finance, Marketing, Entertainment, and more. Our customers are established names in their respective fields such as Dow Jones, The Wall Street Journal, Microsoft, TCS, Asphalion, The Leukemia & Lymphoma Society, and Rett Syndrome Research Trust (RSRT), to name a few.