3 Strategies for Delivering Enterprise AI at Scale

In today's digital workplace, enterprises often face challenges related to fragmentation and inefficiency. In a survey done by Unily, 34% of employees reported feeling overwhelmed by too many apps and tools. This digital friction hinders employee’s ability to work efficiently leading to both cognitive overload and a frustrating employee experience.  

One effective solution to address these challenges is with the assistance of AI technology. But implementing enterprise AI at scale is not necessarily an easy process. It requires not only governance and security protocols but also employee buy-in and dedicated resources to implement.

AI can help address inefficiencies and modernize the digital workplace – as long as it’s implemented in meaningful ways. 56% of employees reported they would use AI... if it were better integrated into workflows. This speaks to a broader challenge with workplace technology, which is often implemented in silos or without employee-centric design. Ensuring that technology is utilized effectively starts with designing use cases that enhance the existing workflows that employees struggle with. In contrast, many organizations implement systems that simply become yet another thing for employees to manage in an already overwhelmed digital ecosystem. 

Here are three ways organizations can effectively deliver enterprise AI at scale to enhance their digital workplace:

1. Unified AI Assistant

2. Integrations with Existing Workflows

3. No-Code & Low-Code Builders

Let's explore each of these in more detail.

1. Unified AI Assistant

Implementing a unified AI assistant to centralize various tools and applications can significantly reduce fragmentation within the digital workplace. With an AI assistant, organizations can streamline workflows, automate repetitive tasks, and deliver information to employees, ultimately enhancing decision-making, productivity, and efficiency by bringing what employees need directly to them within the flow of work.

2. Integrations with Existing Workflows

34% of employees expressed feeling overwhelmed by the multitude of apps and tools at work. To address this, it is crucial for workplaces to integrate AI seamlessly into existing workflows. While it seems nearly every software has its own version of an AI Assistant, these often come with a premium price tag and may be limited in licensed use to specific users or departments. In contrast, platform-agnostic AI Assistants can achieve seamless integration by embedding AI capabilities into everyday applications and surfacing them in a unified interface. Employees can leverage an AI Assistant to find information and perform tasks without having to switch between multiple platforms, creating a more cohesive and streamlined work experience.

3. No-Code & Low-Code Builders

Easy to use and quick to deploy, implementing AI with a platform that offers a no-code or low-code solution provides enterprises with the ability to start realizing ROI without the costly, resource-intensive alternative of custom pro-code development. With a solution that enables the building workflows using a no-code/low-code builder, organizations can not only deliver AI agents faster, but they can also more easily manage AI governance with a single location to ensure use cases of varying complexity meet AI policies.

51% of employees want to see AI used to simplify the digital workplace. By leveraging AI technologies in the form of an AI Assistant, organizations can deploy workflows that help employees find information, view notifications, and take action across systems all in one place. Whether your AI Assistant lives on the company intranet, in communications portals like Microsoft Teams, or through a web browser, it provides employees with a simplified digital experience that not only reduces the cognitive burden on employees but also enhances decision-making processes and overall employee experience. 

By adopting these strategies and leveraging AI assistants, enterprises can overcome the challenges of a fragmented digital workplace, address employee concerns regarding tool overload, and create a more efficient and productive work environment driven by intelligent automation and seamless integration of AI technologies. 

Learn more about how Workgrid can support you with your AI goals with a personalized demo.