Name: LLM Action Call Back
Start: 2024-08-14T13:10:00Z
End: 2024-08-14T13:10:01.000Z
Location: BrightTALK
Rating: 0

Boost.ai specializes in enterprise-grade conversational artificial intelligence (AI). Inventor of the world’s most scalable conversational AI platform, boost.ai empowers enterprises to automate customer service and internal support channels, enhance human efficiency and drive revenue with proprietary self-learning AI and a no-code solution that’s quick to deploy, easy to learn and highly scalable.

Able to handle unlimited intents while consistently maintaining resolution rates of above 90 percent, virtual agents developed on boost.ai’s platform are used by companies like Telenor, DNB, Tryg, and MSUFCU to successfully automate thousands of interactions daily.

Boost.ai is headquartered in Stavanger, Norway, with offices in Boston, Oslo, London and Stockholm and Copenhagen.

In this special episode of "Behind the Bots," we invite you to meet some of the incredible individuals who have championed the adoption of conversational AI within their organizations.

They share their personal journeys, the strategic challenges they faced, and how they leveraged boost.ai's virtual agents to drive remarkable outcomes. 

A highlight from the episode is Santander's proactive approach during a recent remediation process. By empowering their Virtual Agent, Sandrine, they resolved approximately 15,000 unique inquiries, translating to significant labor savings.

Behind the Bots - Part 1

How can advanced conversation intelligence elevate operational efficiency and redefine the customer service landscape in your organization?

Discover the transformative journey of Sandy, Atlanticus' innovative chatbot, in our upcoming webinar. Join us to explore the remarkable capabilities and potential of conversation intelligence to elevate customer engagement and streamline operations.

In this session you will learn:
- Discover the challenges that drove Atlanticus to adopt a chatbot solution and the key factors behind their decision. Unearth strategies for evaluating and implementing leading technologies to drive significant improvements across your organization.
- Explore the key metrics that guided Sandy's success, providing a blueprint for enhancing customer satisfaction and operational efficiency with technology.
- Gain actionable insights on optimizing performance through rigorous quality assurance for exceptional service.
- Learn how Sandy surpassed its goals by autonomously managing 50% or more of chat interactions.

Register today to explore the endless possibilities of combining customer-centric strategies with cutting-edge technology!

Beyond the Bot: Real-World Results from Conversation Intelligence

Introducing AI-powered CX Insights: Actionable insights that will transform enterprise CX

We’re excited to announce AI-powered hashtag CX Insights, our newest set of features designed to give enterprises clearer visibility into customer interactions and improve CX in real-time. Here’s what makes it a game changer for enterprises in any industry:

-AI Review: Automatically analyzes every customer conversation, ensuring consistent, in-depth reviews without the need for manual effort.  
-Actionable Metrics: An improved approach to tracking and categorizing conversation outcomes, providing clearer reasoning as to how and why interactions were automated or handed off to a human. This feature moves the needle, empowering enterprises to go beyond basic measurements like containment and completion rates.
-Conversation Insights: A fresh set of visuals that display detailed CX metrics and trends over time, helping you continuously refine and enhance customer outcomes. Ready to unlock deeper insights into your customer interactions?

Ready to unlock deeper insights into your customer interactions?

Introducing AI-Powered CX Insight

Generative AI is revolutionizing customer service, but 80% of CEOs find that its inherent risks and uncertainty make it difficult to employ quickly.

However, what if there was an innovative approach that paired the power of GenAI with the safety and control best practices of traditional Conversational AI to enable an accelerated time to market? You don’t have to wonder any longer because the answer is here with Generative Action. Join boost.ai CTO, Rasmus Hauch, Co-founder and CCO, Henry Iversen, product researcher, Nena Van As and senior solutions consultant, Jens Steno as they overview and demo what makes our Generative Action technology so revolutionary.

This webinar reviews:
- The growing importance of Generative AI in customer service.
- The four pillars that define and control Generative Action.
- How this technology enables controlled and secure behavior.
- Use cases for Generative Action across different industries.

The CX Paradigm shift - Safe and controlled Generative AI

Large Language Models (LLMs) and Generative AI are poised to revolutionize customer service in the Financial Services sector. Yet, implementing these new technologies requires careful consideration to manage risks, ensure security, and maintain brand integrity. Join us in this webinar to learn how to leverage these benefits in a risk-free, privacy-compliant manner that guarantees a positive impact on customer experience (CX).

Discover the transformative potential of LLMs and Conversational AI for your customer service operations. Experts from boost.ai will guide you through practical solutions to key questions, such as ensuring accurate customer interactions, maintaining compliance with security and data protection regulations, and implementing these technologies without adding complexity to your projects.

Join experts from boost.ai and MSU Federal Credit Union for this on-demand session to gain insights directly from experienced leaders in LLMs and financial institutions.

Key Takeaways:
- Discover a proven roadmap for harnessing the power of LLMs and Generative AI in your customer service organization.
- Hear firsthand from a leading financial institution about driving successful projects and achieving immediate results with these technologies.
- Get concrete, actionable answers to your pressing questions and concerns about implementing LLMs
- Understand the potential risks and challenges of Generative AI, and learn strategies to mitigate them.

Transforming CX in financial services with generative AI

ChatGPT made a splash when it was released at the end of 2022, and now large language models (LLMs) and generative AI are poised to shake up the entire conversational AI space.

But the question remains: can these probabilistic models be harnessed to deliver on the CX expectations of enterprise organizations?

Boost.ai Founder, Lars Ropeid Selsås, and Chief Product Officer, Halvard Totland, take a deep dive into how the boost.ai platform is uniquely able to leverage LLMs like OpenAI’s GPT models to increase the efficiency and accuracy of virtual agents at scale, while streamlining AI training, enhancing human agents, and optimizing the end-user experience.

This webinar covers and demos a host of upcoming features including:

- Scalable content suggestion
- Training data generation
- Agent handover summary
- Answer re-write
- Contextual, pre-written responses
- And much more!

Conversational AI and large language models: an enterprise perspective

Intelligent self-service isn't just smart - it's essential. It’s no secret that today’s consumers expect immediate service and prefer to find solutions to common problems on their own. In fact, 69% of consumers try to solve issues independently before reaching out to a service representative.

But while self-service might seem like an easy win for businesses and consumers alike, traditional self-service platforms often fall short. That’s where AI-assisted tools enter the picture.

This webcast features a panel of experts including Elizabeth Tobey, Head of Marketing, Digital and AI at Nice, Bonnie Chase, Senior Director, Service Marketing at Coveo, and Chase Tarkenton, SVP and GM, North America at boost.ai, who will discuss how AI-assisted self-service can transform your customer experience.

Tune in now to learn about AI's role in customer experience, including triumphs, traps, real-world cases, and expert tips.

How AI-Assisted Self-Service Can Transform Your Customer Experience

Intelligent self-service isn't just smart - it's essential.

It’s no secret that today’s consumers expect immediate service and prefer to find solutions to common problems on their own. In fact, 69% of consumers try to solve issues independently before reaching out to a service representative.

While self-service might seem like an easy win for businesses and consumers alike, traditional self-service platforms often fall short. That’s where AI-assisted tools enter the picture.

Key takeaways:

- Why AI management is knowledge management
- Key elements to address before implementing genAI
- How search plus genAI delivers the best customer experiences
- AI's role in CX: triumphs, traps, real-world cases, and expert tips

How AI-assisted self-service can transform your CX

This video will explain how you can use LLM Action together with the API Connector to help customers identify the physical stores closest to them.

Watch now to learn how you can better support your customers using AI.

LLM Action Find Store Location

This video explains how you can use LLM Action to gather key details from users and leverage the API Connector to interactively estimate the potential growth of each users’ monthly savings.

Tune in now to find out how you can enable your virtual agent to create individualized savings plans for your customers.

LLM Action Savings Calculator

In this video, you’ll learn how you can leverage a large language model to help customers evaluate different solution packages and determine which one best fits their needs.

Watch now to find out how you can use AI to enhance your customer experience.

LLM Action Select Package

How can you seamlessly switch between predefined and generative responses in the same conversation? 
While Generative AI is transformative, it doesn't fit all scenarios, especially when precise control and consistency are needed. That's where Action Hooks come in – one of the key pillars of boost.ai’s Generative Action. Action Hooks enables the virtual agent to trigger predefined action flows - so that when it matters, you'll know exactly what the virtual agent will respond.

GenAction: Action Hooks

Accelerate time to market for GenAI-powered customer experiences by leveraging a no-code setup that utilizes company knowledge and data. A combination of LLM prompt engineering and Retrieval Augmented Generation (RAG) skillfully guides the Virtual Agent toward desired responses.

Demo Highlights:
- No-code setup: Discover how easily a virtual agent can be deployed with zero coding required - simplicity and efficiency at its best!
- Instructions and knowledge: Learn how to instruct the virtual agent on how to behave and which information to use, ensuring that the responses are both accurate and relevant.
- Real-time sentiment analysis: Experience the cutting-edge capability of the virtual agent to adapt its responses based on the emotional undertones and context of the interaction - ensuring a dialogue that's not just intelligent, but empathetic and responsive.

GenAction: Knowledge and Instruction

Voice channels are crucial for organizations. They handle significant operational costs and high traffic volumes, yet often fall short in providing a satisfying caller experience.

In this video, we demonstrate an advanced automated calling system that utilizes a sophisticated blend of technologies from boost.ai. We will cover the following:

- Predefined and generative responses 
- Authentication 
- Barge-in (interrupting the virtual agent) 
- Seamless topic switching
- SMS confirmation 
- Generative Action using knowledge, action hooks, API hooks & guardrails

By combining boost.ai’s powerful tools with the thoughtful application of Large Language Models (LLMs), we’ve created a system that significantly enhances automation levels. This transformation turns the voice channel into a more efficient and user-friendly interface, delivering substantial value to customers.

Elevate voice automation with boost.ai

In today's competitive business environment, delivering exceptional customer experiences (CX) while reducing operational costs is paramount for organizations looking to stay ahead of the curve. This webinar will explore how companies can achieve this delicate balance by leveraging the power of boost.ai and large language models (LLMs), such as OpenAI's GPT-4.

Boost.ai co-founder, Henry Vaage Iversen, will be joined by Jonne Tuomela from our Technical Pre-Sales team to discuss the transformative potential of the boost.ai conversational AI platform and demo its hybrid integration of LLMs that will be available in our next software release.

The webinar will delve into the following key areas:

- The risk vs. value of generative AI
- How a hybrid LLM/NLU solution can help reduce costs and speed up implementation
- A live demo of LLM-enriched features coming to the boost.ai platform
- A 5-step business case: from zero to genuine ROI in weeks

and much more!

Enhancing CX and reducing operational costs with boost.ai & large language models

Generative AI is revolutionizing customer service, but 80% of CEOs find that its inherent risks and uncertainty make it difficult to employ quickly. However, what if there was an innovative approach that paired the power of GenAI with the safety and control best practices of traditional Conversational AI to enable an accelerated time to market? 

You don’t have to wonder any longer. In this webcast, join boost.ai CTO, Rasmus Hauch, co-founder and CCO, Henry Iversen, product researcher, Nena Van As, and senior solutions consultant, Jens Steno, as they break down how their latest tool, Generative Action, can help you take your customer service to the next level with secure and responsible AI.

Watch now to discover:

• The growing importance of Generative AI in customer service
• The four pillars that define and control Generative Action
• How this technology enables controlled and secure behavior
• Use cases for Generative Action across different industries
• And more

The CX paradigm shift: Unlock the potential of responsible generative AI

Demos

In this video, you’ll learn how you can use LLM Action to gather user contact information and send it to an API endpoint to streamline lead generation and customer service processes.

Tune in now to find out how your organization can automate customer service and strengthen your internal support channels.

LLM Action Call Back

Large Language Model

Generative AI

GenAI

Artificial Intelligence

Customer Experience

Call Center

Virtual Agent

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