Urgent.News

What's breaking now, across thousands of outlets.

AI

What leaders should be asking potential AI partners

The past three years have been filled with promises that AI will reinvent how companies do business. Countless AI innovations have entered the marketplace from simple tools that automate tasks like research, data management, and reporting, to platforms that help companies aggregate data in preparation for AI applications. Expectations for higher margins, reduced labor, and increased shareholder…

What leaders should be asking potential AI partners

Over the past three years, AI has been touted as a transformative force in business. As companies invest billions in AI solutions, they are realizing that the technology can improve specific workflows within departments but struggle to deliver strategic advantages across the entire organization. To better align AI investments with enterprise goals, a new approach to evaluating and assessing AI tools has emerged.

This new process emphasizes the importance of industry-specific context, customization, and accuracy in AI solutions. When assessing potential AI partners, C-suite leaders should inquire about industry alignment, such as integrations with vertical platforms, custom AI tools, compliance with industry standards, and customizable reporting on industry-specific KPIs.

For industries like retail, AI solutions tailored to address supply chain challenges, such as detecting early risks that could impact inventory levels, are essential. Additionally, the demand for AI customization, with a focus on AI agents, connectivity, and reporting, has increased. Buyers should define their business goals, KPIs, existing data and platforms, and identify areas where current systems fall short.

A reliable supplier should be able to demonstrate a "build as you buy" approach, where customization can be demonstrated during the sales meeting. Another key aspect to consider is the accuracy of AI-generated data and analysis, which should align precisely with buyer KPIs. Lastly, the emergence of AI agents that can analyze data across departments, recommend solutions, and take automated actions with human guidance can help overcome silos and inefficiencies within large organizations.

By adopting a more active role in AI buying decisions and asking the right questions, leaders can ensure that AI investments yield strategic value across the organization, delivering better outcomes for end users.

Written by urgent.news from Fast Company's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at fastcompany.com →

More in AI

More from Thursday 17 September →