Workplace Automation Integration

𝗜'𝗺 𝗵𝗲𝗮𝗿𝗶𝗻𝗴 𝘀𝘁𝗼𝗿𝗶𝗲𝘀 𝗮𝗯𝗼𝘂𝘁 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝗽𝗶𝗹𝗼𝘁 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀. Employees are NOT using it - they don't see the value or don't know how to. And I know exactly why... All fancy AI licenses are worthless because you are: 🚫 Throwing licenses at employees 🚫 Forcing top-down adoption 🚫 Assuming people will "figure it out" 🚫 Focusing only on technology The truth? Having AI isn't enough; effective adoption is key. Here's what successful companies do differently (5Es): ✅ Educate: Show AI capabilities w/ use cases & benefits ✅ Empower: Provide proper training and support ✅ Enable: Create space for experimentation ✅ Engage: Address concerns openly ✅ Execute: Implement clear adoption strategies Here's a 3-step framework that transformed our AI/RPA Automation adoption rates 👇 Start with WHY - Connect AI/Automation to business objectives - Show Organizational & personal benefits - Address replacement fears head-on Enable through HOW - Structured training programs - Hands-on workshops - Real-world use cases Support with WHAT - Clear implementation roadmap - Regular feedback sessions - Celebration of small wins Remember: Having AI isn't enough. Success lies in your people adopting it. What do you think? ---- 🎯 Follow for Agentic AI, Gen AI & RPA trends: https://lnkd.in/gFwv7QiX Repost if this helped you see the shift ♻️ #AI #innovation #technology #automation

Imagine scheduling a healthcare consultation and instantly triggering a comprehensive summary of your entire medical history, seamlessly available to your doctor. After your visit, prescriptions are automatically routed to pharmacies, and insurance claims are pre-verified and swiftly processed, creating real-time, frictionless coordination across multiple departments. Welcome to the era of agentic AI. Unlike its predecessor, which responded passively to prompts, agentic AI introduces autonomy, adaptability, and intelligence into customer service workflows, reshaping the function from the ground up. Which is now being referred to as the “gen AI paradox” The McKinsey & Company report "Seizing the Agentic AI Advantage" explains that the generative AI era has encountered a paradox. Despite 78% of companies deploying generative AI in at least one business function, more than 80% have not yet experienced a significant impact on their bottom line. The problem is that most deployments have been "horizontal" (general-purpose chatbots and copilots that provide only surface-level efficiencies). Agentic AI breaks this mold by enabling "vertical" transformation (embedding intelligence directly into complex business processes, including customer service). Unlike traditional models, agentic AI addresses the value gap by integrating advanced reasoning, autonomy, and adaptability into mission-critical workflows, fundamentally transforming how customer service is delivered and experienced. 🔹Proactive Issue Detection: Agentic AI anticipates and resolves problems like service outages or delays before customers even notice, shifting support from reactive to preemptive. 🔹Autonomous Problem Resolution: Routine issues such as refunds or reorders are handled automatically, freeing up human agents for higher-value work. 🔹Personalized Customer Interactions: Every engagement is dynamically tailored using real-time data, boosting satisfaction and enhancing deeper customer loyalty. Companies that reimagine their customer service operations around agentic AI report remarkable outcomes: 🔹Resolution times reduced by 60-90% 🔹Up to 80% of routine issues are handled without human involvement This shift elevates the human roles, transforming organizational roles: 🔹Human agents transition into overseeing complex or exceptional cases, becoming strategic managers rather than task executors. 🔹New specialized roles emerge, including agent orchestrators, prompt engineers, and human-in-the-loop designers, ensuring strategic human-AI collaboration. Agentic AI is completely rethinking how organizations operate, serve, and scale, and I am excited to see what’s next in customer service. See the full Agentic AI report on the carousel. #CustomerService #AgenticAI #DigitalTransformation #AI  

Yesterday, I posted a conversation between two colleagues, we're calling Warren and Jamie, about the evolution of CX and AI integration. Warren argued that the emphasis on automation and efficiency is making customer interactions more impersonal. His concern is valid. And in contexts where customer experience benefits significantly from human sensitivity and understanding — areas like complex customer service issues or emotionally charged situations — it makes complete sense. Warren's perspective underscores a critical challenge: ensuring that the drive for efficiency doesn't erode the quality of human interactions that customers value. On the other side of the table, Jamie countered by highlighting the potential of AI and technology to enhance and personalize the customer experience. His argument was grounded in the belief that AI can augment human capabilities and allow for personalization at scale. This is a key factor as businesses grow — or look for growth — and customer bases diversify. Jamie suggested that AI can handle routine tasks, thereby freeing up humans to focus on interactions that require empathy and deep understanding. This would, potentially, enhance the quality of service where it truly mattered. Moreover, Jamie believes that AI can increase the surface area for frontline staff to be more empathetic and focus on the customer. It does this by doing the work of the person on the front lines, delivering it to them in real time, and in context, so they can focus on the customer. You see this in whisper coaching technology, for example. My view at the end of the day? After reflecting on this debate, both perspectives are essential. Why? They each highlight the need for a balanced approach in integrating technology with human elements in CX. So if they're both right, then the optimal strategy involves a combination of both views: leveraging technology to handle routine tasks and data-driven personalization, while reserving human expertise for areas that require empathy, judgement, and deep interpersonal skills. PS - I was Jamie in that original conversation. #customerexperience #personalization #artificialintelligence #technology #future

For businesses adopting AI, the promise of savings through role automation can mean the human cost is overlooked.    I’ve noticed plenty of optimism about AI freeing humans from repetitive jobs, but a deeper concern is also emerging: if businesses continue to rely on traditional career paths and capability frameworks, human workers may find themselves sidelined in the future of work.   Whilst the perceived benefits of AI freeing up human time for more strategic roles is attractive, the consequent rising unemployment and lack of training for young professionals is alarming. How can our people effectively make these strategic decisions in the future, if they miss out on the fundamental learning and development offered by entry-level roles?   For long-term commercial success, it is clear businesses have a responsibility to take care of their people and support employees to adapt to the future of work with AI.    🌱Grow your people by investing in reskilling programmes so your team is properly equipped with competitive capabilities to harness AI. 👥 Foster an ethos of human-AI collaboration by amplifying and nurturing the qualities that make us unique – creativity, intuition, compassion and imagination to optimise the benefits of AI augmentation rather than AI replacement. 🤝 Build trust by committing to mitigating any detrimental effects of the technology on people and society and providing transparency and safeguarding around the development and deployment of AI.    Now is the time for business leaders to consider how you are helping workers adapt in the new AI world. And for workers, is your business doing enough?

𝐀𝐈 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐡𝐚𝐯𝐞 𝐬𝐮𝐫𝐠𝐞𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐭𝐨𝐩 𝐨𝐟 𝐂𝐇𝐑𝐎𝐬’ 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐲 𝐥𝐢𝐬𝐭𝐬, 𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐡𝐨𝐰 𝐰𝐨𝐫𝐤 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐨𝐯𝐞𝐫 𝐭𝐡𝐞 𝐧𝐞𝐱𝐭 𝟔–𝟏𝟐 𝐦𝐨𝐧𝐭𝐡𝐬 ! 📅 Mid‑2025 snapshot: 42% of CPOs expect no change in today’s uncertain labour market over the next year — signalling short‑term caution, even as long‑term transformation opportunities loom. 📉 Low vacancy rates, shifting worker expectations, and rapid AI adoption are reshaping how organisations plan, hire, and design work. 🎯 Top workforce strategy priorities for the year ahead: ➡️ Revising organisational structures ➡️ Fostering culture & purpose ➡️ Advancing workforce AI deployment 🤖 AI opportunities: job augmentation & redesign, career development, workflow enhancement, and upskilling. ⚠️ AI risks: skill atrophy if learning doesn’t keep pace. The message is clear — the future of work will be shaped by leaders who can balance innovation with human potential, according to a new interesting research published by World Economic Forum using data from a survey of more than 130 chief people officers at global employers across regions and industries, conducted between May and June 2025. 💡 Top 3 AI opportunities in the next 6–12 months: 1️⃣ Automation of repetitive and administrative tasks 2️⃣ Career development & upskilling to prepare employees for AI‑enhanced roles 3️⃣ Embedding AI into daily workflows, making it an integral part of business processes ✅ 𝙈𝙮 𝙥𝙚𝙧𝙨𝙤𝙣𝙖𝙡 𝙫𝙞𝙚𝙬:  I believe we are entering a defining chapter for the people function based on these new findings. The role of HR — and especially the CHRO — has never been more strategic. From AI deployment and automation to addressing mental health concerns and value polarisation, today’s leaders are navigating a workplace in constant transformation. What stands out to me is that technology and humanity are no longer separate conversations — they are deeply intertwined. The organisations that will thrive are those that can embrace innovation without losing sight of the human experience. 𝑯𝒆𝒓𝒆 𝒂𝒓𝒆 𝒎𝒚 𝒓𝒆𝒄𝒐𝒎𝒎𝒆𝒏𝒅𝒂𝒕𝒊𝒐𝒏𝒔: 🌟 For Organisations: ✅ Integrate AI with purpose — focus on augmentation, not just automation, ensuring technology enhances human potential. ✅ Invest in continuous reskilling — make learning and specially AI - a cultural norm so skills evolve as fast as the market. ✅ Prioritise mental health and inclusion — embed well‑being, DEIB, and psychological safety into the fabric of work. ✅ Redesign work for agility — adapt structures, workflows, and roles to meet shifting business and employee needs. 🙏Thank you World Economic Forum researchers team for sharing these insightful findings: Adèle Jacquard Isabelle Leliaert Till Alexander Leopold 🔑 How can organisations embrace AI and automation while ensuring the human experience remains at the heart of work? #CHROLeadership #FutureOfWork #WorkforceAI #HRLeadership

In the age of AI, our most extraordinary tool isn't technological — it's human. The future of work is not just about technological skills. It's equally about the human touch. As we navigate this tech-dominated landscape, the value of emotional intelligence, creativity, and empathy only escalates. 💡 Consider this: AI can analyze data, but can it understand the nuances of team dynamics? It can automate tasks but cannot inspire a workforce or lead with compassion. We're moving toward a world where the ability to connect, understand, and inspire will become our most valuable assets. How do we hone these quintessentially human skills? 🌟 Cultivate empathy ↳ Understand diverse perspectives and foster inclusivity. 🌟 Prioritize human connection ↳ Personal interactions matter more than ever in a world of screens. 🌟 Embrace continuous learning ↳ Not just in tech but in areas that foster emotional intelligence and creativity. Let's discuss. What human skills will be most crucial in the future of work? How are you developing these skills today? #AI #HumanSkills #FutureOfWork #EmotionalIntelligence

𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝘀𝗺𝗮𝗹𝗹𝗲𝗿 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗶𝘀𝗻'𝘁 𝗮𝗯𝗼𝘂𝘁 𝘀𝗶𝘇𝗲, 𝗶𝘁'𝘀 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 We generally hear about the digital transformation and automation successes of large blue chip companies or relatively young and nimble startups. However, the middle tier, medium-sized companies, often goes unnoticed, despite their unique needs. Through a recent chat with a Procurement leader about Digital Transformation and Process Orchestration, I was reminded of a common pattern that many companies in this category share and that is that size does not determine complexity, quite the contrary. Complexity doesn't decrease due to size but is driven by industry, market and their number of SKUs. In Procurement, the number of suppliers does not correlate with the number of employees of a company but their product portfolio and so do the ESG and Sustainability reporting requirements. Procurement and Automation Technologies have to fit with a set of different criteria to provide mid-sized companies with adequate solutions offering: ▪️𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗮𝗴𝗶𝗹𝗶𝘁𝘆 𝗼𝘃𝗲𝗿 𝘀𝗰𝗮𝗹𝗲 to address the capacity gaps with flexible solutions that can be adjusted as they grow and their needs evolve. There is no need for all bells and whistles but a robust path to scale. ▪️𝗖𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀 𝗗𝗿𝗶𝘃𝗲 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 determining priorities for rapid pilots in high impact areas to manage investments and risks more effectively. Proving value before conceding large funds is essential. ▪️𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 of new technologies with existing systems, often customised to fit specific industry needs and not easily compatible. This may require tailored API's or flexible workflows. ▪️𝗦𝗸𝗶𝗹𝗹𝘀 𝗴𝗮𝗽𝘀 when it comes to deploying and managing automated systems requiring low code solutions or an outsourced service. Heavy maintenance and lengthy change request processes won't work. ▪️𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗻𝗲𝗲𝗱𝘀 of mid-sized companies may not always reflect in solutions working for large corporations. It's often not a popular Source to Pay suite you may encounter for Source to Contract but Excel, Sharepoint etc. Understanding and addressing these nuances can significantly enhance the effectiveness of digital transformation efforts in mid-sized companies. Mid-sized CPO's and Procurement leaders are under significant pressure to deliver benefits with a tangible prove of savings realisation whilst modernising the function. An undertaking which requires a different approach than for large caps. The trick for Digitalisation in mid-sized companies is not in automating existing processes but to rethink them & make the best use of limited resources while preparing for future scalability. What factors and solutions do you think work best for mid-sized businesses? #midsized #smb #kmu #digitaltransformation #automation #procurement Graph: PwC Digital Procurement 2024

As AI transforms the workplace, HR leaders are at the forefront of ensuring ethical implementation and human-centric practices. Here are critical areas we must address: a) Inclusion and Collaboration: Implement clear guidelines to ensure AI complements human roles rather than replacing them. Could you create a collaborative environment where humans and AI work synergistically? b) Bias Mitigation: Establish robust safeguards against algorithmic bias. This includes thoroughly vetting AI vendors and ensuring transparency in AI decision-making processes. c) Upskilling and Adaptation: We need to develop comprehensive training programs that empower employees to work effectively alongside AI. Let's promote a culture of continuous learning and technological adaptability. d) Ethical AI Use: Form an AI ethics committee to guide responsible AI adoption and usage across the organization. Develop and enforce clear ethical AI policies. e) Data Privacy and Security: Implement stringent data protection measures to safeguard employee information while leveraging AI benefits. Regular audits and updates to privacy policies are crucial. f) Performance Management Evolution: Rethink evaluation metrics and processes in AI-augmented workplaces to ensure fairness and accountability. g) Diversity and Inclusion: Harness AI to enhance diversity initiatives while implementing checks to prevent algorithmic discrimination. HR professionals have a unique opportunity to shape the future of work. One must proactively develop strategies that maximize AI's potential while prioritizing our workforce's well-being and growth. I'm eager to hear your thoughts: a) What challenges and innovative solutions are you encountering in your organizations regarding AI integration? b) How are you balancing technological advancement with maintaining a human-centric workplace? #FutureOfWork #AIEthics #HRTech #DigitalTransformation #EmployeeExperience #DigitalAgents #AIAgents #DigitalOrganization

I automated my entire team's workflow—and then THIS happened. Ever wonder what would happen if your team could complete a week's worth of work in a single day? Sounds like a dream, right? Well, that's exactly what we achieved. A few months back, I noticed my team was bogged down with repetitive tasks. Brilliant minds were spending hours on mundane activities. So, I decided to take a bold step. We invested in automating these tasks. The initial push was challenging: - Learning new tools - Changing long-standing processes - Overcoming resistance to change But the payoff was incredible. Results: - Productivity skyrocketed: We accomplished more in less time. - Stress levels dropped: The team felt less overwhelmed. - Innovation flourished: Free time led to creative solutions. - Employee satisfaction increased: Work became more fulfilling. The most surprising outcome? Our team cohesion strengthened. With less time on grunt work, we collaborated more on strategic projects. The takeaway? Automation isn't about replacing people. It's about freeing them to do what they do best. Embrace technology to unlock your team's true potential. Have you implemented automation in your work?