No matter what sector or specialty, our focus is to drive conversation as the foundation for automation everywhere.
Key Takeaways Most AI email tools fail because they generate text without pulling real-time CRM or ERP data, causing hallucinations and manual rework. Contact centers handle 500–3,000+ emails daily yet resolve only 14% via self-service on average. Krista delivers measurable ROI by discovering intent with native ML, orchestrating stateful workflows, and escalating with confidence scoring. …
Give reps instant answers on what’s in stock and where. Krista checks OMS/ERP/WMS in real time, returns availability by warehouse and date, proposes fulfillment plans, reserves inventory, and creates the order. If stock is short, it suggests substitutes or splits, routes exceptions, updates CRM, and logs the audit trail.
The race to adopt AI has flooded enterprises with chatbots, copilots, and isolated agents. What began as innovation is now sprawling into disconnected tools that fail to produce real outcomes. In a recent conversation with John Michelsen and Chris Kraus, we outlined the key findings from the report “Choosing the Right Agentic Platform.” The report …
Empower your agents to resolve issues in minutes. Frustrating hold times and slow resolutions happen because agents must manually hunt for information across different systems. This use case demonstrates how an AI assistant eliminates that bottleneck. See how providing your team with instant, synthesized answers from all your applications allows them to solve complex problems …
Converting customer support insights into billable services increases margin. Yet, for a leading HCM software company, complex Salesforce.com processes were a major hurdle, leaving potential income on the table. Discover how leveraging Krista’s AI transformed their support operations into a streamlined revenue engine, enhancing agent productivity and driving growth for the company.
AI That Never Learns Many people fear having AI train on their data because they don’t want to lose proprietary data in public LLMs. So they say, “I don’t want AI training on my data.” But that’s exactly what they want—they just don’t realize what they’re saying. What they mean is they don’t want to give up …
The question for PE firms is no longer whether to adopt generative AI, but how. AI can make portfolio companies more efficient and sharpen their competitive edge on much shorter timelines than ever possible before. For many portcos, building AI solutions in-house might feel like the logical choice. It promises full control, customization, and can …
Data analytics and the realm of artificial intelligence hold immense power for businesses, but unlocking their full potential can be complex. Power BI, a leading business intelligence tool, excels at gathering data from various systems, visualizing it, and creating insightful reports. But that’s it. You still need to make decisions and execute them based on …
Embracing technological change via automation and artificial intelligence (AI) is no longer optional; it’s a necessity. Delaying AI use in your company can hinder progress and put you farther behind your competitors. However, embracing AI adoption is not without its apprehensions. Your concerns about unknown outcomes and hallucinations are valid but are easily overcome with …
Generative AI vs Predictors and Categorizers Generative AI is hot and has ignited our imaginations. However, it’s important to highlight that there are other AI capabilities, like predictors and categorizers, that can produce significantly more value, particularly in enterprise settings. But, these capabilities aren’t new; they have been around for quite some time and have …
Companies evaluating AI want the most accurate machine learning models (ML) to predict or summarize business outcomes. However, many times achieving high levels of accuracy and confidence inflates expenses and erodes value versus adding to it. In this episode, Luther and I discuss what is and what is not AI, evaluating ML model accuracy against …
A North American eCommerce store transformed its operations by leveraging AI-driven automation. Read how Krista decreased operational costs, reduced resolution times, and boosts customer satisfaction.
Embracing Predictive Analytics in Decision-Making In this episode of The Union Chris and I discuss predictive analytics and how to use it to help you make better decisions. We explored how advanced analytics can help business process owners and IT professionals boost their decision-making prowess. The most important topic in this episode is using machine …
There’s a lot of AI buzz and businesses everywhere are feeling the pressure to integrate this exciting technology. However, amidst all the hype, there’s a need to clarify a few things. First off, AI isn’t a panacea for all business woes. It needs a foundation of sound data and processes to be effective and it’s …
About SR 11-7: Guidance on Model Risk Management SR 11-7: Guidance on Model Risk Management is a document issued by the Federal Reserve Board that provides guidance and regulatory expectations related to model risk management. The guidance defines model risk as the risk of incorrect or inappropriate model usage, incorrect model outputs, or model implementation …
Contact centers are overworked and seeking more automation Contact centers and customer support organizations are increasingly constrained as more business moves to omnichannel. Email and omnichannel message volumes increase YoY and overwhelm the staff. High turnover rates cause organizations to constantly train new and existing employees on how to appropriately respond to increasingly complex customer …
As machine learning (ML) becomes more prevalent in business and society, so does the need for accurate and dependable operations. Krista offers comprehensive machine-learning operations (MLOps) to help your business succeed with this valuable technology before your competitors do. Krista will help your organization ensure that the right ML assets are in the right place …
Call center automation has become an important aspect of many customer service organizations. Contact centers use technology like conversational AI to relieve agents of certain routine tasks, such as logging information, retrieving data, or answering emails so they can focus on more complex interactions with customers. As companies strive for efficiency and improved customer service, …
Machine learning (ML) is an enabling technology for artificial intelligence (AI), one of the fastest growing areas of technology. While numerous advancements have been made in this field over the past twenty years, there are many reasons to believe that we have only scratched the surface of this technology’s potential. The three main types of …
Begin with the eye-opening statistic that 97 percent of all mobile users want a machine learning-powered voice assistant to assist them with their inquiries. Isn’t that incredible? We are on the cusp of a new era where machines learn to think and act for themselves. And machine learning is already starting to impact our everyday …
The restaurant industry is a notoriously challenging one. Low margins and high overhead costs make it difficult for restauranteurs to turn a profit, and fierce competition can make it hard to stand out from the crowd. Add in a pandemic and the need to constantly evolve to keep up with changing trends and compete with …
Krista is like Excel How long would it take to complete your work if IT had to edit your spreadsheet when you needed changes? It’s not feasible. If every spreadsheet edit or change required a formal requirements definition, you would overwhelm your support systems with trivial requests. IT would never prioritize these requests because it …
The HFS Research Hot Vendor program annually recognizes the leading new providers of digital services across 25 industries. For 2022, HFS has selected six AI and automation vendors as the hottest of the hot. Hot Vendors: Krista Newt Global Nividous SingularityAI Working Solutions Worksoft These vendors will be competing in a “Shark Tank” style competition …
We are in an age in which computers are learning how to do more complex things than humans are able to program. The line between humans and machines is becoming more blurred as machines are doing things that were recently thought impossible. Here are some astonishing examples of machine learning in action. But before we …
As we enter a new age, there is one technology looming on the horizon that has the potential to change everything as we know it: artificial intelligence (AI). In particular, the past decade has seen a tremendous rise in both artificial intelligence (AI) and machine learning. Though they are often used interchangeably, AI and machine learning are pretty …
Most business owners are too busy to spend time gathering data and monitoring performance. They need to be able to trust that their executive dashboard is accurate and up-to-date without worrying about it. That’s where automation comes in. By automating data gathering and cleansing from multiple sources, you can create an executive summary dashboard that …
Key Takeaways 7 common cost elements for AI projects Why AI projects achieve low ROI (1.3%) and why 85% of projects fail How to decrease AI project costs and implementation timelines to increase ROI Download the eBook – “How to Decrease the Cost of AI ” Many factors go into the cost of deploying artificial …
The Power of Automation. The Brains of AI. A New Era in Process Automation. Intelligent Automation marries rules-based process automation with artificial intelligence, machine learning, and natural language processing to produce an entirely new era in process automation technology. Krista makes it human. What is intelligent automation? Intelligent Automation (IA) combines artificial intelligence (AI), machine …
John Michelsen, CPO and co-founder of Krista Software, got together with Erik Walenza, CEO of IoT One, on the Industrial IoT Spotlight Podcast. John and Erik discuss how Krista builds and integrates machine learning and apps to optimize business outcomes. Building Technology That Understands People Listen to John and Erik discuss: What was the idea …
CPO and co-founder of Krista Software, John Michelsen, recently visited with Seth Goldstein on Entrepreneur’s Enigma Podcast. Every week, host Seth Goldstein talks to different entrepreneurs about their journey… their successes and their failures. Listen to John and Seth discuss: What is Krista Software? What are the challenges of getting a patent? What are your …
A nationwide supplier saved $2 million using artificial intelligence to automate email responses. The company received an average of 25,000 inquiries via email each month, with each inquiry covering a wide range of topics that required handling from different departments.
Over the last couple of years, enterprises have embraced trending technologies like ML, AI, and robotic process automation (RPA) to enhance their business strategy. However, given the prevalence of robotic process automation (RPA) and intelligent automation (IA) in businesses worldwide, it’s easy to confuse the two. Both technologies work wonders to reduce operational costs and …
An independent software vendor automated its DevOps toolchain with Krista and reduced its release management process from twelve to four weeks. Krista stores all communication and transactions to automate dashboarding, manage service level agreements, and automates compliance documentation.
CPO and co-founder of Krista Software, John Michelsen, recently visited with Kevin Craine on The Digital Transformation Podcast. The Digital Transformation Podcast interviews authors, best-selling thought leaders, and top-shelf executives on driving digital success. John and Kevin about: What makes automation intelligent How to transform processes to enable more thinking and less doing Citizen developer …
Irene Lyakovetsky with SaugaTalks sat down with John Michelsen, the founder, and CPO of KristaSoft, to discuss how technology can understand people. Their conversation spanned various applications of automation, AI and technology analyzed trends to create intelligent projections about skills, careers, technologies, and the interaction of human beings with AI. Their engaging conversation was peppered …
Robotic process automation (RPA) is undoubtedly one of the most disruptive technologies in recent years, but what is the future of RPA? Enterprises all over the world have implemented RPA, bots, or digital workers to take stable rule-based processes from workers and hand them over to software. It has created billions of dollars of labor …
RPA and low code application platforms jobs require just as many software development skills as custom application development. Why it matters: Business leaders will continue to become frustrated with slow delivery and innovation cycle times. The big picture: Highly technical platforms combined with scarce development resources will continue to challenge digital transformation projects. Earlier I …
By Jason Bloomberg, President, Intellyx — Part 4 of the Intellyx Intelligent Automation Series In a recent episode of Star Trek: Discovery, the crew struggled with the question of how to trust their newly sentient ship’s computer Zora. The issue of trust came to a head when Zora made a unilateral decision the crew didn’t …
A review of LinkedIn job postings for application developers found low code application platforms require just as many software development skills as custom application development. Why it matters: IT leaders seeking to democratize technology with low code citizen developer projects may not realize low code platforms still require application development skills. The big picture: Regardless …
Years ago analysts claimed RPA is dead and that integrated automation, AI, and analytics would converge. This is intelligent automation.
Chatbots lighten the burden on support staff and improve operational efficiencies, but they fall short on several counts because most only read data from a single knowledge base.
Intellyx BrainBlog by Jason English, for Krista Software Of all categories of technology, artificial intelligence (AI) has to be the most elusive to apply for productive work. No technology vendor wants to leave AI out of their solution offering, so claims of AI could represent anything from an autonomous black-box expert intelligence (if you believe …
By Jason Bloomberg, President, Intellyx — Part 2 of the Intellyx Intelligent Automation Series Low-code tools and platforms have taken the enterprise application development community by storm. They promise a simpler, more stakeholder-focused approach to building applications that free developers from routine plumbing work so they can focus on delivering business value. Low-code platforms allow …
Security analysts manually chase and research 11,000 alerts per day. 77% percent of decision-makers state manually researching these alerts negatively impacts their organizations’ ability to mitigate and prevent attacks. Automation and AI remove manual efforts to focus on higher severity alerts and threats. Forrester states the average SOC receives over 11,000 alerts a day. Many …
See how to enhance your decision making by integrating ML into your workflows and how to operationalize machine learning models into production.
Digital transformation is more than a buzzword or cliche. It is a call for companies to create meaningful digital customer and employee experiences to remain relevant and continue delivering value. Today’s smartphone-enabled, digitally connected consumers and employees expect the companies they transact business with or work for to become digitally driven, not merely digitally “influenced.” …
Companies using DevOps automation are more agile. They meet business objectives more quickly and efficiently by deploying more frequent changes. But, DevOps frameworks still have too many manual steps.
In the ever-evolving threat landscape, it is not a matter of ‘if’ but rather ‘when’ a cybersecurity breach occurs. Acting swiftly and effectively can enhance an organization’s cyber resilience and restore it to its secure state. However, this isn’t easy with conventional security platforms. SOCs have too many tools. They have too many alerts. They …
Natural Language Processing (NLP) or Natural Language Understanding (NLU) is a subset of Artificial Intelligence (AI). There are many benefits when using the technology, and I am surprised at the pushback from technical people when talking about deploying it. I guess there is a difference between learning about a technology in academia and the complexity …
Have you ever been a part of a roundtable discussion that felt more like a dinner with friends? That was the atmosphere during a meeting we hosted in early March. In this session, we brought together some of the industry’s brightest automation professionals to discuss some of their challenges when it comes to intelligent automation. …
Your Current Automation Approach Is Unsustainable; Here’s How to Fix It. If you don’t see it, then maybe you aren’t there yet. Perhaps you are just starting and don’t have requests from business users to create automations across more than one system. Or maybe you see it getting out of hand and are exploring ways …
Chatbots and Conversational AI have gained immense popularity in the last few years to enable human-to-computer interaction. The technologies use natural language processing (NLP), providing an easy conduit for people to interact with computers via text or voice. According to Google Trends, search volume around “chatbots” remains consistently high as businesses realize the value that …
Over the last few years, companies have spent billions of dollars on customer relationship management, CRM, software. CRM platforms like Salesforce.com (NYSE: CRM) have realized significant growth while transforming businesses into the digital age. Salesforce alone has acquired 64 companies as its market cap increased over 500% from $36.73B in January 2015 to $196.61B in …
Companies using DevOps automation are more agile. They meet business objectives more quickly and efficiently by deploying more frequent changes. They innovate faster with smaller iterations between requirements, commitments, and deployments. They have lower failure rates and disruptions since recovery times are shorter than their peers. Iterating in smaller, more frequent steps also instills a …
Customer contact centers are investing in AI and robotic process automation to combat complexity. [1] The complexity results, in part, from migrating monolithic on-premise customer relationship management systems to cloud-based ones. Yes, moving to cloud-based systems reduces IT operating and maintenance costs, but it hasn’t achieved the envisioned ROI leaders sought. Plus, these systems weren’t …
The Industrial Revolution happened so long ago that it’s just another chapter in our long history. Yet, that was a time of massive change for humans and a time that we are mirroring today—ever heard of the fourth Industrial Revolution? Well, you’re currently living in the middle of it. Think about the last two decades …
Humans are a curious species: the willingness to make mistakes for the sake of curiosity and learning has set the stage for everything from the discovery of fire, to the Industrial Revolution, to the technological advancements that we see today. The addicting appeal of that “what if” statement has led to some of the most …
Years ago, I was enjoying a weekend with a very good friend of mine who has made a successful career for himself in the Supply Chain Management sector. We tried hard to refrain from work-related talks but somehow we ended up there. With a pizza slice still in his mouth, he said “IT’s slice keeps …
We have all heard the age-old adage: technology is supposed to make lives easier. We hope that it will make complicated processes as simple as pressing a button on your home screen, but sometimes, especially in business, this isn’t the case. Amidst the sea of tech that permeates our lives, have you ever stopped to …
It was a fine Monday morning when I strolled into my office. It seemed no different than any other typical morning at this company, and everyone seemed to be busy planning their week’s schedule. A few rumbling voices could be heard over the clacking keyboards and office chatter as the day progressed. These voices reminded …
A confession I have been delivering enterprise IT systems for over 25 years. Often, those systems required training programs, adoption teams, and change management programs. This is the norm, so I thought it was just how things ‘had to be.’ Users tried to tell me that the countless systems they had to learn–with their different …
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