The Union

In this episode, we explain how AI-powered solutions like Krista are transforming the way businesses answer unforeseen questions. Join us as we explore the challenges of handling unknown inquiries in complex workflows, the role of real-time data, and how AI can integrate dynamic systems to provide instant, accurate responses. We also discuss use cases for customer support, sales, and standard operating procedures, and provide actionable steps for implementing AI to boost efficiency and streamline operations. Whether you’re looking to fill knowledge gaps or enhance decision-making, this episode offers valuable insights on how AI can drive real business value. 

More at krista.ai

In this episode of The Union Podcast, we discuss how AI is revolutionizing document understanding and business operations. Join hosts Scott King, Chris Kraus, and John Michelsen as they explore real-world AI use cases that help businesses extract insights, automate workflows, and manage unstructured data more effectively.

They discuss:

• Three key document understanding use cases that can transform how your organization manages data
• Real-world examples of AI speeding up invoice processing and handling complex documents
• The role of NLP (Natural Language Processing) in automating workflows and improving efficiency

Whether you’re looking to streamline operations, reduce manual work, or better leverage the data within your organization, this episode provides actionable insights to get started with AI-driven document understanding.

🔔 Subscribe to The Union Podcast for more episodes on AI and business technology!

More at krista.ai

Michael Haske, CEO of Krista, shares his experiences and insights from attending the SHRM 24 conference. The event, which brought together HR professionals from around the globe, focused on major transformations in the workplace, particularly the integration of AI, the skills gap, and the need for enhanced civility. 

AI Integration in HR: A Hot Topic 

One of the central themes of the SHRM 24 conference was the role of artificial intelligence (AI) in transforming HR functions. Michael highlighted the enthusiasm and curiosity among attendees regarding AI's potential to revolutionize various HR processes. Popular use cases discussed at the conference included AI-driven talent acquisition, employee engagement, and predictive analytics to foresee employee turnover. The overarching message was clear: AI can automate repetitive tasks, freeing HR professionals to focus on strategic initiatives that enhance the employee experience. 

The Evolving Role of HR Professionals 

Traditionally, HR roles have not been heavily tech-centric. However, the integration of AI into HR functions is changing this dynamic. Michael noted that HR professionals now need to become experts in AI technologies and be involved in every AI-related conversation, especially those impacting people. Effective AI integration in HR involves using AI to enhance roles, streamline processes, and make data-driven decisions. Standardized, validated approaches to assessing and matching skills with job opportunities are also essential. 

SHRM and Krista: A Strategic Partnership 

A highlight of the conference was the announcement of a strategic partnership between SHRM and Krista to deploy AI solutions for SHRM members. Michael provided insights into this partnership, explaining how Krista was chosen as the AI vendor to build SHRM's member-facing AI engine. This AI tool aims to leverage SHRM's extensive knowledge base, accumulated over 75 years, to provide members with advanced capabilities such as document analysis, understanding, comparison, and drafting. The partnership is set to empower SHRM members with AI-driven superpowers, enhancing their efficiency and effectiveness in various HR tasks. 

Key Takeaways for HR Professionals 

The SHRM 24 conference provided insightful knowledge for HR professionals. Michael Haske emphasized several key takeaways: 

• Embrace AI: HR professionals should not shy away from AI but instead embrace it as a tool to enhance their roles and improve organizational efficiency. 
• Focus on Upskilling: With rapid technological advancements, continuous learning and development are crucial. HR professionals should prioritize upskilling and reskilling to stay relevant. 
• Be at the Forefront: HR should be involved in all AI-related decisions within the organization, ensuring that AI implementations are human-centric and aligned with organizational goals. 

The SHRM 24 conference highlighted the transformative potential of AI in HR and the importance of addressing the skills gap. With strategic partnerships like that of SHRM and Krista, the future of HR looks promising, with AI playing a central role in driving efficiency and innovation. As Michael aptly put it, "It's time for HR to have a seat at the table on an enterprise-wide basis when it comes to AI decision-making." 

More at krista.ai

Human resources are undergoing a significant transformation, thanks to advancements in AI and automation. Traditionally manual HR processes work, but many HR professionals wonder, "How can AI and automation technologies be applied to my everyday challenges?" Chris Kraus and I discuss several HR-specific AI and automation applications, offering practical insights into real-world use cases.

Challenge: Navigating Complex Policies and Regulations

How AI Can Help: AI-powered tools like Krista act as knowledgeable assistants, instantly providing accurate answers to employee questions about your company policies, benefits, and regulations. This not only saves time for HR staff but also ensures consistency and accuracy in responses.

Employee Self-Service: Empowering Employees with Information

How AI Can Help: AI-powered self-service portals allow employees to quickly access the information they need providing accurate answers and guiding them through complex processes like leave requests or benefit enrollment. This empowers employees and frees up HR staff to focus on strategic initiatives.

Candidate Experience: Attracting and Hiring Top Talent

How AI Can Help: AI-powered tools can automate job postings, applicant screening, and interview scheduling, making it easier for candidates to apply and for HR or local management to identify the best fit. Additionally, AI can help tailor the candidate experience based on individual preferences and communication channels like SMS or omnichannel.

Recruiting and Tracking: Streamlining the Hiring Process

How AI Can Help: Krista orchestrates processes across different systems, automating tasks like resume screening, interview scheduling, and progress tracking. Having software run the process instead of people ensures a smooth and efficient hiring process rather than manually keeping track of all of the steps.

Employee Onboarding and Offboarding: Ensuring Smooth Transitions

How AI Can Help: Krista automates onboarding and offboarding workflows, ensuring that tasks like systems access, equipment setup, and paperwork are automated and accounted for. This improves the onboarding experience and reduces the risk of data breaches when employees leave.

Process Orchestration: Streamlining HR Operations

How AI Can Help: Krista orchestrates complex HR processes, combining multiple tasks into a streamlined workflow. For example, an employee can request vacation, and Krista automatically handles approvals, calendar updates, and notifications. This improves efficiency, reduces errors, and frees up HR staff for more strategic work.

Conclusion

AI and automation can alleviate many common bottlenecks in HR processes. Leveraging tools like Krista can help HR professionals streamline operations, enhance the employee experience, and focus on strategic initiatives that drive business growth.

Embracing AI is not just about efficiency; it's about empowering your workforce and adapting to the evolving landscape of work. As AI continues to advance, HR departments that leverage these technologies will be well-positioned to lead their organizations into the future.

Ready to explore how AI can transform your HR processes? Contact us to discover the art of the possible for your organization.

More at krista.ai

While LLMs offer undeniable benefits, integrating them into the workplace poses significant risks to company data. Here’s why:

Data Leakage: It’s easy for employees to paste confidential company information into LLM prompts inadvertently. This could include anything an employee can access: financial reports, trade secrets, customer data in text, documents, or even data in spreadsheets. 

Ownership Concerns: When company data is used to create content using LLMs, there’s a risk of losing ownership rights or control over intellectual property. Who owns the content created by LLMs? The company that provides the data or the LLM provider?

Compliance Issues: The unregulated use of LLMs can lead to costly violations of data protection regulations like GDPR, CCPA, and others. Companies have a legal obligation to protect sensitive customer and employee data, and a breach caused by mishandling information within an LLM could have serious repercussions.

Three LLM Usage Scenarios & Why You Should Be Worried

The privacy and data security risks associated with LLMs vary depending on how your employees access and utilize the models and services. Three of the most common scenarios and the specific concerns they raise include:

Scenario 1: Free GenAI/LLM Accounts

Free and readily accessible GenAI tools and LLM interfaces are great at helping employees jumpstart content or edit existing text. However, this ease of use comes at a steep price. When employees turn to these free options for work-related tasks, often for convenience or out of unfamiliarity with company policy, sensitive data is put at extreme risk.

Data Leakage at its Worst: Free LLM accounts offer minimal to no safeguards for your data. Anything pasted into these interfaces, from client emails to financial projections, is essentially out of your control.

Training Future Models: Most alarmingly, many free LLM providers openly state they use user inputs to train their models. This means your confidential company information could become part of the knowledge base of a publicly accessible AI, potentially exposed to competitors or malicious actors. 

Scenario 2: Paid Enterprise LLM Accounts

While paid enterprise accounts come with improved terms of service and stronger data protection promises, they do not guarantee absolute security.

Risk of Leakage Persists: Even with contractual assurances, there remains a risk that your data could be unintentionally exposed due to human error or vulnerabilities in the provider’s systems.

Training Concerns: Although many providers commit to not training their models on your data, there’s often no way to verify this claim independently. Your sensitive information could still be used to enhance the capabilities of LLMs, potentially benefiting your competitors.

Scenario 3: Hosting Your Own LLMs

This scenario represents the most security and control. By hosting open-source LLMs within a secure Krista tenant, you maintain absolute ownership and oversight of your data.

No Data Leaves Your Account: Your company’s information never interacts with external LLM providers, eliminating the risk of data leakage or unauthorized use.

Full Control: You have complete authority over how the LLM is configured, trained, and used, ensuring that it aligns perfectly with your organization’s specific security and compliance requirements.

Peace of Mind: This approach provides the highest reassurance that your data remains confidential, secure, and entirely within your control.
Implementing this technology within your organization is critical, and the risks associated with how you and your employees interact with LLMs vary depending on the use case.

More at krista.ai

Generative AI, with its ability to produce human-quality text, translate languages, and write different kinds of creative content, is changing the way people work. But just like any powerful technology, it's not without its vulnerabilities. In this podcast, we explore a specific threat—LLM jailbreaking—and offer guidance on how to protect your generative AI applications. 

What is LLM Jailbreaking? 

LLM vandalism refers to manipulating large language models (LLMs) to behave in unintended or harmful ways. These attacks can range from stealing the underlying model itself to injecting malicious prompts that trick the LLM into revealing sensitive information or generating harmful outputs. 

More at krista.ai

Building your own GenAI system and app requires a deep understanding of the rapidly evolving technology and the complexities involved. It is not as simple as building traditional web or mobile apps. GenAI is constantly changing, with new models and updates being released frequently. This means that the frameworks, behaviors, and APIs used to interact with the models can change rapidly, requiring constant maintenance and upgrades. Additionally, the process of ingesting and understanding data, especially unstructured data like images and PDFs, is more complex than it seems. Assuming that maintaining the infrastructure and quality of GenAI apps is similar to your existing projects can lead to expensive costs and time-consuming maintenance cycles. Using a platform like Krista can provide the necessary tools and expertise to handle these complexities and allow businesses to focus on solving their specific business problems instead of maintaining a custom-built solution.

Takeaways

·      Building your own GenAI system and app is not as simple as building traditional web or mobile apps.

·      GenAI technology is rapidly evolving, with new models and updates being released frequently.

·      The frameworks and APIs used to interact with the models can change rapidly, requiring constant maintenance and upgrades.

·      Ingesting and understanding unstructured data, like images and PDFs, is more complex than it seems.

·      Using a platform like Krista can provide the necessary tools and expertise to handle the complexities of building GenAI apps and automations.

More at krista.ai

Key Takeaways 

• AI skepticism remains a hurdle: While interest in AI is high, doubts about accuracy, safety, and trust persist. This emphasizes the need for accurate, transparent, explainable AI models with validation and governance. 
• Focus on time savings for overworked teams: A major draw of AI is automating repetitive tasks and finding pain points. This frees up Third Party Risk Management (TPRM) teams to reduce friction with the business and tackle the increasing burden of assessments, including Nth party risk. 
• Contract risk: a critical area for AI application: AI's ability to analyze and extract data from complex contracts fills a significant gap, helping manage risks often overlooked by traditional risk management programs. 
• Earning trust in AI is key: Risk management professionals crave solutions that are accurate and reliable. AI adoption depends on providing transparency, demonstrating explainability, and building confidence through meticulous validation. 
• Strategic empowerment: AI isn't about replacing risk managers but enabling them to make proactive, informed decisions about risk. This transforms the profession and opens the door to embracing calculated risks for the organization's success. 
• The journey starts with the basics: Organizations often need help finding where to begin. Understanding how AI automates assessments and pinpointing specific pain points is the first step toward targeted solutions. 

The Shared Assessments Summit, a leading risk management conference, brought together experts to discuss the latest trends and best practices. Sam Abadir, a risk management and governance, risk & compliance (GRC) solutions specialist, and Jason Eubanks, a risk consulting manager, were among those in attendance. In this article, we explore key takeaways from the conference, focusing on how artificial intelligence (AI) and automation can transform your approach to risk management. We explain how AI-powered tools, like Krista, can automate repetitive tasks, improve knowledge accessibility, and shift the focus of risk management professionals to strategic activities. We will also explore AI's potential to unlock new ways of approaching risk. By using AI and automation, risk management professionals can streamline processes, improve efficiency, and contribute more effectively to the success of their organizations. 

More at krista.ai

AI copilots are generative AI engines that assist users in point tasks such as writing emails, summarizing customer cases, and generating code. AI copilots can be used in a variety of business functions, including marketing, customer service, and software development. However, AI copilots assist one person with one task at a time. They improve personal productivity but are not effective at transforming business processes or using more powerful AI solutions like predictors and categorizers.

Takeaways

Definition and Scope of AI Copilots

• AI copilots are identified as tools based on generative AI technology, designed to assist in various tasks by generating or completing content based on given inputs. They are differentiated from other AI applications like predictors or categorizers.

Applications and Benefits

• AI copilots can assist in coding by generating initial code drafts, helping to speed up the development process, though the generated code may require optimization for efficiency.
• In customer service, AI copilots can help draft email responses or summarize customer interactions inside of a single application.
• In legal applications, AI copilots can summarize meetings or draft documents, though it raises concerns about the skill development of junior lawyers.

Challenges and Considerations

• The proliferation of AI copilots across different platforms and tasks (e.g., coding, customer service, email management) could lead to challenges in managing, governing, and integrating these tools effectively within organizations.
• There’s a risk of over-reliance on AI, potentially reducing human oversight and quality control, especially in critical tasks.
• There are concerns about AI’s potential for misuse, such as generating inappropriate or harmful content, though it was noted that current applications are not designed to act autonomously in such a manner.

Perspectives on the Future of Work with AI Copilots

• The inevitable increase in the use of AI copilots across various job functions emphasizes the need for careful management to avoid overwhelming users.
• The potential for AI copilots to significantly reduce routine tasks and allow professionals to focus on more complex and creative aspects of their work was seen as a positive development.

Adaptation and Learning

• A learning curve is associated with effectively utilizing AI copilots, including understanding how to prompt and interact with these tools for optimal results.
• Choosing the right AI tool for specific tasks is important to prevent inefficiency and confusion.

More at krista.ai

In Third-Party Risk Management (TPRM), adopting Artificial Intelligence (AI) presents both an opportunity and a dilemma. One, if you should use AI, and second, for what tasks. I talked with TPRM experts Sam Abadir and Tom Garrubba about responses from a recent poll among approximately 1,000 risk management professionals. We reviewed the questions and responses and offered insights and opinions based on the results.

More at krista.ai