Tur.ai - Power Your Business Processes with AI Automation

Excited to share that our CEO, Ievgen Miasushkin, will be speaking at Kyiv AI & BigData Day 2024 on the topic: "Harnessing the Power of AI: Real-World Success Stories from Heineken, PON, and DTEK"! 🚀 🚀🚀 Join us in Kyiv on November 2nd, where Ievgen will dive into how AI is driving business process transformation and delivering real impact at scale for global brands like Heineken, PON, and DTEK. 🌍 Don’t miss out on the chance to learn how AI is reshaping industries and unlocking incredible results. #KyivAI #BigDataDay2024 #AI #Automation #SuccessStories #TurAI

Why CFOs Aren't Seeing Enough ROI on Automation Initiatives Many CFOs face challenges in realizing ROI from their automation investments. Here are the key reasons why: 👉 Incomplete Automation Scope: CFOs often focus on automating just routine, repetitive tasks, which leads to marginal gains. According to McKinsey, while 40% of finance activities can be automated, organizations often limit automation to narrow, transactional processes. Expanding automation beyond routine tasks to more dynamic processes—without needing technical expertise is crucial. 👉Underutilizing AI Capabilities: Many automation tools only address surface-level tasks, but advanced Gen AI can handle complex workflows, make decisions, and optimize processes in real-time. 👉Resistance to Change: Organizational reluctance to adopt new technologies and the lack of necessary skills can stall progress.  By integrating AI-driven solutions into both simple and complex workflows, CFOs can unlock far greater returns on their automation initiatives. Is your automation strategy maximizing its potential? #GenAi #Automation #AI

CIO Top 3 Challenges Scaling RPA Initiatives Across the Enterprise As companies continue to invest in RPA (Robotic Process Automation) to boost productivity and streamline processes, many CIOs encounter significant hurdles when trying to scale these initiatives across the enterprise. Here are the top three challenges they face: 📍 Lack of Integration Across Tools and Systems  One of the biggest challenges CIOs face is ensuring seamless integration between RPA and other automation technologies like AI, ML, and process mining. RPA solutions must operate efficiently within diverse IT environments, but the lack of interoperability often causes delays and inefficiencies. In our experience, success is achieved by selecting platforms designed for scalability and seamless integration with existing infrastructure, ensuring no disruptions as automation expands. 📍Workforce Skills and Alignment  Scaling RPA isn’t just about technology—it’s also about having the right people and processes in place. While many organizations struggle with a shortage of skilled professionals, we’ve found that enhancing automation tools with intuitive interfaces and prebuilt solutions can reduce the dependency on specialized talent. Additionally, empowering internal teams to take ownership of automation projects helps align both IT and business goals, driving results more efficiently. 📍Operational Complexity and Governance  As RPA scales across departments, governance becomes increasingly complex. Managing automated processes, maintaining compliance, and avoiding process failures require robust governance models. By implementing structured frameworks for governance and risk management early on, it becomes possible to scale RPA without introducing unnecessary risk or operational friction. Tackling these challenges requires a strategic blend of technology, experience, and governance. How is your organization addressing these hurdles as you scale RPA? #AI #RPA #GenAI

New Breed of Hyperautomation Solutions: Wave 2 – Empowering Business Owners to Own Workflows 👇 Wave 2 of hyperautomation is transforming workflow management, giving business owners new level of understanding and control over operations. AI capabilities to   - Understand the context  - Decide on possible outcomes based on data  - Do the sophisticated tasks  Will create a way for new breed of general automation platforms who will integrate these capabilities into workflows. This shift will change the efficiency game for enterprises, delivering quick and substantial improvements in both top-line and bottom-line at every corporate vertical or industry they will be applied. 👨💻 With a help of AI-Copilots they will interact with using the natural language, they themselves will automate workflows without technical expertise, reducing reliance on IT or external consultants.  This shift focuses on aligning automation with business goals, enabling faster innovation and driving digital transformation. Ultimately, Wave 2 puts the power of workflow management directly in the hands of business users.😉 #AI #RPA #Automation

Can GenAI Run Your Business Operations Behind the Scenes? 🤔 Think of GenAI not just as a tool but as your behind-the-scenes power player. According to a Gartner report, 55% of companies that have deployed AI are already using it to manage complex workflows. By 2026, 90% of enterprises are expected to integrate AI for workflow automation, proving how reliable and indispensable AI has become. The stereotype that AI is immature no longer holds up. Generative AI has evolved from a helpful assistant into a robust, stable tool capable of executing entire workflows, with minimal human oversight. This is possible because of advancements in machine learning models, which allow AI to understand context, make real-time decisions based on data, and execute complex tasks more effectively than ever before. Today, AI means less time spent on repetitive tasks and more focus on innovation and strategy. 💪 By automating key workflows, businesses can save a minimum of one day per week for each employee, eliminate errors, and achieve greater lead time efficiency simultaneously. The future isn’t just about brute-forcing team effectiveness with automation — it’s about smarter, automated systems that allow your team to focus on what truly matters. Join the conversation: What task would you automate first with GenAI? 👇 #GenAI #RPA #Automation

Why Traditional RPA Falls Short in Retail Customer Operations 🤔 Traditional Robotic Process Automation (RPA) has been useful in automating structured, rule-based tasks, but it struggles to handle the dynamic and often chaotic nature of retail customer operations. The complexities of ever-changing customer demands, varied communication channels, and unpredictable workflows often exceed the capabilities of traditional RPA. Generative AI (GenAI) is not just an enhancement but a foundational shift for the next generation of RPA. By understanding unstructured data, learning from patterns, and adapting in real time, GenAI enables automation to evolve beyond repetitive tasks, giving businesses the flexibility and intelligence to manage dynamic environments like retail. 👍 For example, McKinsey estimates that GenAI can unlock $310 billion in additional value for retail by optimizing processes such as inventory management, customer engagement, and supply chain operations. While traditional RPA automates routine tasks, GenAI empowers businesses to anticipate needs, make intelligent decisions, and deliver personalized customer experiences—transforming how operations are managed. At Tur.ai, we unite RPA with the power of GenAI, providing a more adaptive and robust solution that fits the unique challenges of retail. With GenAI, you’re not just automating workflows—you’re mastering them. 🚀 How do you think GenAI will change retail operations? #GenAI #RPA #Turai

AI’s Growing Role in Streamlining Business: A Strategic Imperative 🤔 Today's businesses face a dual challenge: protecting data through cybersecurity and enhancing efficiency with AI. As cybersecurity continues to defend, AI is proving indispensable in optimizing operations— 47% of enterprises now prioritize AI to elevate operational efficiency and customer interactions. Its capacity to automate and innovate makes AI as crucial as cybersecurity in securing competitive advantage. What innovative strategies are you employing to ensure AI complements your cybersecurity efforts and drives business growth? Share your insights!👇 Explore details on AI’s impact alongside cybersecurity in the IoT Analytics report: Top 5 Enterprise Technology Priorities - https://lnkd.in/dQcTiSJg #GenAI #AI #Turai

Hyperautomation Guide for CFO 👨💻 Hyperautomation is not a single tool, but a strategy to rapidly identify and automate both business and IT processes. It combines technologies like AI, RPA, event-driven architecture, and iPaaS to work together seamlessly. Moreover, hyperautomation is no longer a luxury but a necessity for companies to remain competitive. Why? Because it can quickly activate substantial gains in both top-line revenue and bottom-line efficiency across every corporate vertical it is applied to. CFOs need to understand this orchestrated approach for effective value activation. That's why we’ve prepared a few key tips for CFOs on where to focus when implementing hyperautomation. 👇 - Step 1: Focus on ensuring that hyperautomation projects align with business outcomes rather than just technical metrics.    - Step 2: Create a Fusion Team (cross-functional teams combining IT and business expertise)    - Step 3: Empower these teams with the right tools, processes, and metrics to ensure smooth collaboration between IT and business units.    - Step 4: ask the following key questions  How many automation initiatives are currently taking place within the organization?  What is the ROI expected from these initiatives?  How will fusion teams (cross-functional teams combining IT and business expertise) be used to drive success?  How will governance be structured to avoid inefficiencies and data security risks?    - Step 5: note that by 2025, 70% of new custom applications will involve low-code or no-code technologies, making it essential to invest in platforms that can empower non-technical staff to participate in automation initiatives. #GenAI #AI #Turai

Transforming Lead to Quote with AI Automation 🤔 Many businesses face challenges with the manual lead-to-quote process, which can be slow and error-prone, impacting customer satisfaction and operational efficiency. Automating this process can revolutionize how companies handle leads and generate quotes. Has automation transformed your lead management? Share your experiences below! 👇 #AI #GenAI #Turai

Overrated Value of Data in AI Projects 📊 Data compatibility is often cited as one of the four key adaptation barriers by McKinsey, with a staggering 24% of companies reporting their data is not compatible with the needs of AI. We may sound unpopular, perhaps even controversial, especially if you ask the technical side, but let’s talk business: ROI on automation is what matters. Nowadays, when Generative AI models can utilize available data and still deliver value, the question of data becomes more about how efficiently the process of data adaptation meets business compatibility marks. Because only when your solution is working will you discover the optimal balance between: - Transforming unstructured to structured data – a significant investment. - Allowing GenAI to absorb unstructured data – no investment. - Using multi-model approaches to clear unstructured data – minimal investment if done right. You might be surprised to find that for a vast majority of high-return investment use cases, you can still deliver strong results without massive investments. Don't let data stop your AI journey; instead, let it guide it. 💡 What is your experience with finding a fine line in data compatibility? #AI #GenAI #Tur