Which AI assistant does what?

When we think of generative AI assistants, we think of purpose-build, software-based labor that uses generative AI to simplify access to the information and automation people need to get to effective business outcomes faster.

Let's dive into the unique capabilities of three of IBM's generative AI assistants.??

What is it?

AI assistants for enterprise productivity

What problems does it help solve?

? Talent and skills shortages that impede growth by putting more pressure on existing employees

? Complex processes that decrease productivity

? Siloed information and disconnected applications that inhibit collaboration

What are three key things you can do with it?

1?? Design and build custom AI assistants that can guide business users, expert or not, through multistep self-service journeys

2?? Interact in natural language to help complete tasks,provide relevant information, and take next best actions

3?? Integrate with the apps and tools you use every day—import existing automations into the platform, build new automations, and assign tasks to the AI assistant

What are some top use cases?

HR, finance, procurement, supply chain, sales

What is it?

AI assistants for customer support

What problems does it help solve?

? Customers unable to get immediate and accurate answers from support

? High operational costs due to high call volumes, inefficient or incorrect call routing, or lengthy call durations

? Difficulty retaining experienced call center agents due to unmanageable workloads, insufficient training and lack of career development

What are three key things you can do with it?

1?? Understand the complexity of customer language to help resolve customer issues and deliver automated self-service answers and actions

2?? Integrate with essential messaging channels, contact-center-as-a-service platforms, data sources, web tools and other customer support systems

3?? Enable employees to quickly design conversations and deploy AI assistants for improving customer experiences

What are some top use cases?

Multichannel customer self-service support, personalized customer experiences, call center modernization, HR and IT helpdesk modernization

What is it?

AI coding assistants for enterprise developers

What problems does it help solve?

? IT skills shortages making it hard for development teams to keep pace with changes

? Lack of development time and resources to build automations for common IT workflows

? Developers managing thousands of applications without the time or resources to modernize them quickly and efficiently

What are three key things you can do with it?

1?? Generate syntactically correct and contextually relevant code from natural language requests

2?? Help developers review generated code and match content recommendations to originating data source before accepting

3?? Support the end-to-end application modernization lifecycle with application discovery and analysis, automated code refactoring, and high-quality transformation between languages

What are some top use cases?

Code generation for IT automation, code generation for application modernization

Learn more

For a deeper dive into each of our AI assistants, access our buyer's guide .