Can AI breathe new life into IBM i?
AI Assistants are the future.
Futurize the way you interact with your applications with Profound Logic.
AI offers endless possibilities, but how does it relate to IBM i? We have asked ourselves the same question here at Profound Logic.
We are committed to keeping your business lightyears ahead of the competition, which is why we have been testing the limits of AI and exploring its ability to add value to real world enterprise applications.
AI Assistants are the future.
Profound AI is not just a tool
With Profound AI, you can enhance your legacy applications with natural language AI assistants in just 3 steps.
Features
Customization at Its Core:
Design AI assistants that align perfectly with your internal processes and workflows.
Advanced Natural Language Processing:
Use cutting-edge NLP technology ensures your assistants understand and respond to queries in a natural, conversational manner.
Effortless Integration:
Seamlessly integrate AI assistants into your existing applications, whether they're on the web or mobile platforms.
Scalability for Success:
As your business grows, Profound AI grows with you, supporting an increasing number of interactions and complexities.
Insightful Analytics:
Track the performance of your AI assistants and gain valuable insights into user interactions through our comprehensive logs.
Why Profound AI?
- Boost Productivity: Automate routine tasks and provide instant support, allowing your team to focus on higher-value activities.
- Enhance User Experience: Offer a more intuitive and engaging way for employees and customers to interact with your applications.
- Innovate with Confidence: Stay at the forefront of technological advancements with our state-of-the-art AI platform.
- Cost Efficiency: Reduce operational expenses by streamlining processes and automating support with AI assistants.
How Profound AI can help with your IBM i Applications
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Automation of Routine Tasks:
AI assistants can automate repetitive tasks such as data entry, report generation, and system monitoring, freeing up valuable time for IT staff and users to focus on more strategic activities. -
Enhanced User Experience:
AI assistants can provide a more intuitive and interactive way for users to interact with IBM i applications. For example, users can use natural language queries to retrieve data or execute commands, improving usability and accessibility. -
Improved Customer Service:
For businesses using IBM i for customer-facing applications, AI assistants can offer 24/7 customer support, quickly responding to inquiries, providing product information, and resolving common issues. -
Data Analysis and Insights:
AI assistants can analyze large volumes of data stored in IBM i systems, providing insights and recommendations to support decision-making. For example, they can identify trends, predict outcomes, and suggest optimizations. -
Integration with Modern Technologies:
AI assistants can serve as a bridge between legacy IBM i applications and modern technologies, enabling seamless integration with web services, cloud platforms, and other external systems. -
Comprehensive Logs:
AI assistants can monitor system performance and health, alerting administrators to potential issues before they become critical. They can also suggest optimizations and best practices for system maintenance. -
Enhanced Security:
AI assistants can assist in fraud detection and flagging suspicious activity. -
Streamlined Workflow Management:
AI assistants can help manage workflows and processes, coordinating tasks between different IBM i applications and ensuring that processes run smoothly and efficiently. -
Cost Savings:
By automating tasks, providing insights, and optimizing processes, AI assistants can help businesses reduce operational costs and improve overall efficiency.
Overall, integrating AI assistants with IBM i systems can modernize and enhance the capabilities of these robust platforms, providing significant value to businesses and users alike.
Here are just a few examples of what becomes possible when you connect AI to your IBM i applications.
Operational efficiency improvements:
For example: Imagine AI being able to listen to audible inventory counts and log the data in real-time.
Faster Insights:
Imagine asking your application directly "Which raw materials are we having the hardest time keeping in stock this quarter?" And getting an accurate answer in seconds.
Reduced learning curves:
Imagine new team members being able to add value faster by enabling them to speak naturally to your internal applications.
We discovered that there are three problems IT teams need to solve in order to connect AI with their internal applications.
- Integration: A new integration needs to be built in order to connect IBM i applications directly with large language models.
- Interface: A secure chat interface needs to be developed and added to the integration.
- Interpretation: The LLM needs to be context trained on your business and data.
The good news is, we are able to do all of this for you!
- Integrate: We built a custom integration that works with all of our frameworks and tools. Any of our current customers can take advantage of this integration now.
- Interface: We discovered that our IBM i green screen transformation tools were easily adaptable to become phenomenal chat interfaces with the LLMs.
- Interpret: Our team has discovered a prompt engineering pathway that can be followed to generate the best results with IBM i and AI together.
Because this is done with our frameworks and processes, it is natively secure, stable, and scalable.
If you would like to explore these benefits for your company, fill out the form below to apply to our AI / IBM i accelerator program.
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