Top Software Trends for 2025: Automation, E-commerce, and More

🔧 Connect Your Business Tools to Create Your AI! 💡 Imagine a virtual assistant capable of understanding your requests, retrieving relevant information from your tools, and providing clear, precise answers. 🌐 By using APIs, AI can connect to your tools—whether it’s a CRM, ERP, or document database. It acts like an augmented team member, capable of processing large amounts of information to deliver exactly what you need. 🏦 Take a bank as an example: by connecting its AI to its business tools, it can offer clients personalized and responsive service, answering questions about accounts, loans, or investments. A significant gain in time and efficiency! 🔎 We help you implement this custom conversational AI, tailored to your tools and processes. We configure the AI to respond precisely to the needs of your clients, employees, or team. 💬 Contact us to find out how Devana can help: devana.ai

Too many CRM implementations fail because companies skip crucial AI integration steps. Here are 12 success keys that consistently show up in successful CRM + AI integrations: 1. Map your sales process before automation 2. Test AI predictions on small segments 3. Document AI decision-making paths 4. Build feedback loops for AI learning 5. Set clear KPIs for AI performance 6. Create standardized data input rules 7. Train your team on AI capabilities 8. Assign ownership of AI and data 9. Plan regular AI model updates 10. Track ROI metrics consistently 11. Start with clean data migration 12. Monitor AI-human handoffs Skip these steps, and you risk: - Data privacy issues - Inaccurate forecasting - Lost sales opportunities - Poor customer experience - Team resistance to adoption - Wasted technology investment I've learned that successful AI integration isn't about rushing to implement every feature. It's about methodically building a foundation that serves your business goals. What really counts is: - Making data-driven decisions - Creating measurable results - Building team confidence - Getting the basics right That's what drives long-term success. 💪 Struggling to get your CRM to deliver real results? Let's talk about building a strategy that works. DM me to learn how.

Remember my post from the other day about the lengthy interview/consulting session? I wanted to share some insights I feel are critical and might be valuable for others. Issues with ERP/CRM and IT process maturity, oh and leverage AI. So let's hit these. Issues with your ERP/CRM are mainly about a disconnect between business needs and what IT has built. Adoption and utilization are directly connected to your input fields, level of control/standardization and having a simplified process. If your business put in random data to complete "required" fields that don't mean much to the users you're wasting their time, or they don't understand why it's important. solve for common uses not every deviation. IT process maturity is about adoption and continuous improvement. If your teams are drifting from their original levels it's important to get the 5Ws. Similiar issues to ERP/CRM for data, and automation of processes doesn't mean 100% compliance as the goal posts move and technologies change. Go back to CSI book of ITIL if you need to understand how to drive improvements. AI, is not the end goal, it's a tool for your journey to deliver value and ROI. Use it to help where it fits as long as it meets your privacy and security controls. Don't expect transformational change unless you are ready to rebuild a lot of your core elements and numerous processes. These are just a quick rehash of a great discussion. Hope it benefits someone. Be safe on your Digital Transformation Journey.

🔎 #MIT: Only 5% of AI projects deliver real business value Everyone talks about #AI, many try, but very few succeed in turning it into tangible #business results. The Massachusetts Institute of Technology (MIT) study highlights that: ▪️95% of AI projects fail to deliver benefits ▪️in-house projects fail twice as often as those developed in partnership ▪️successful initiatives start small, focusing on high-value processes ▪️AI must be integrated into existing workflows (CRM, ERP, daily tools) ▪️the most significant returns come from back-office #automation and document management ✨ How does Omnia Platform address these challenges? ▪️We launch short and successful PoCs with clients on targeted processes (contracts, document classification, help desk) ▪️We work as a strategic partner, not just a technology provider ▪️We prove real, measurable results quickly and help scale them across the enterprise ▪️We offer a comprehensive low-code platform, with numerous components and modules (including AI), enabling employees – through classroom or on-the-job training – to accelerate and simplify the creation of native AI apps and next-generation enterprise applications 💡 With Omnia, AI stops being a risk and becomes a strategic asset: easy to adopt, secure to scale, and ready to generate real value. 👉 Effortless AI apps, limitless potential.

CRM adoption often fails in the small, everyday moments. If finding or updating records takes too long, users will default to spreadsheets or side tools. Salesforce Winter ’26 addresses this head-on with new list view enhancements and smarter AI support: 💡 Multi-column sort → work a pipeline, candidate pool, or campaign list in the order that makes sense for you 💡 Type-ahead search for fields → no more scrolling endlessly through picklists to find the right option 💡 Performance improvements → faster, smoother list loading and navigation Combined, these make list views a tool people actually want to use, not something they tolerate. But Salesforce didn’t stop there. Einstein AI now supports smarter list-level insights, helping surface key accounts, prioritise leads, and flag anomalies directly from the data you’re viewing. Why this matters for adoption: ✔️ End users save time on the basics, so updating records feels natural ✔️ Teams stay inside Salesforce instead of exporting data elsewhere ✔️ Managers get cleaner, more consistent data to drive reporting and AI Key takeaway: Adoption grows when the system makes routine tasks friction-free, and when AI helps turn everyday lists into actionable insights.

From Chatbots to AI Agents When many executives hear the word “chatbot,” they think of rigid, frustrating scripts. And they’re right—traditional chatbots have often fallen short. But intelligent automation has evolved. Today, AI agents go far beyond chatbots: They understand context, not just keywords. They integrate with CRM, ERP, and HR systems. They can execute tasks, not just respond. They continuously learn from data and interactions. Imagine an AI agent that not only answers a customer query about order status but also: Checks the ERP system in real time Identifies a shipping delay Proactively offers solutions Updates the customer’s profile for future personalization This is no longer science fiction. Enterprises across industries are deploying such AI-driven solutions—and they are seeing measurable returns. #DezlyAI #EnterpriseAI #AIForBusiness #DigitalTransformation #AIInnovation #FutureOfWork #Automation

How to identify the right AI use case for your business The digital landscape is rapidly evolving, making the integration of new technologies crucial for business survival and growth. Staying competitive requires a proactive approach to adopting solutions that streamline operations and enhance decision-making. The latest news highlights the increasing demand for robust and adaptable technological infrastructures that can handle complex data and automate intricate processes. Businesses are recognizing that off-the-shelf solutions often fall short, necessitating more tailored approaches to meet their unique operational demands. This shift underscores a clear trend towards investing in foundational technology that supports long-term strategic objectives rather than just quick fixes.   This evolution is particularly evident in how companies are approaching their core systems, moving away from monolithic structures towards more agile and responsive frameworks. The ability to integrate new capabilities, from advanced analytics to AI-driven tools, directly impacts a company's capacity to innovate and maintain market relevance. For companies, this trend presents both a challenge and an opportunity. Failing to adapt can lead to inefficiencies, missed market opportunities, and a decline in competitiveness. Conversely, embracing strategic technological advancements can unlock significant operational efficiencies, enhance customer experiences, and provide a substantial competitive edge through data-driven insights and streamlined workflows.   How Icod Systems Can Help: To address the need for tailored operational enhancements, our custom software solutions provide automation, dashboards, and integrations perfectly suited to your unique workflows. For businesses looking to enhance their core capabilities and streamline complex processes, Cratilys, our in-house made all-in-one automation platform, offers a powerful, integrated solution. Furthermore, our technology consulting helps you craft a digitalization strategy, ensuring scalable and efficient adoption of these critical technologies. How is your organization adapting its technology strategy to these evolving demands? Share your thoughts below or connect with us to explore how these insights can transform your business operations.

AI agents are autonomous software entities that can interpret data, make decisions, and execute tasks without human intervention. In the context of CRM, these agents extend the system's capabilities beyond passive data storage into intelligent orchestration of customer interactions. They can autonomously segment leads, schedule meetings, prioritize tasks, and even draft personalized messages based on behavioral insights. Use Cases Across Industries In retail, AI agents help segment customers and personalize promotions. In education, they assist with admissions follow-ups and student support. In finance, they automate compliance checks and client onboarding. Across sectors, the value of AI-enhanced CRM is evident in faster response times, deeper insights, and stronger customer relationships. Challenges and Considerations While promising, this integration raises challenges. Data privacy, AI transparency, and integration complexity must be managed carefully. Businesses must ensure their CRM-AI ecosystem complies with regulations like GDPR, and that agents operate ethically and transparently. The Future of CRM is Autonomous As AI agents grow more sophisticated, CRM platforms will become increasingly autonomous—capable of anticipating customer needs and acting on them without manual prompts. This shift promises not only efficiency but also a new era of proactive, intelligent customer engagement. In conclusion, the marriage of CRM and AI agents is not just an upgrade—it is a paradigm shift. Organization https://lnkd.in/gHwRwBC3

The customer service landscape is undergoing a revolution. AI-powered platforms—chatbots, automation tools, analytics engines—are changing the way businesses handle customers. Processes that once needed manual effort are now streamlined by technology. For professionals above 40, this presents a challenge and an opportunity: Challenge – Traditional roles are shrinking; repetitive tasks are being automated. Opportunity – Your industry experience is priceless, but it needs to be combined with AI literacy and digital adaptability. Why upgrade now? Companies want professionals who can combine experience with modern tech. AI tools require human intelligence for strategy, empathy, and customer insight. Staying relevant ensures career growth and security in an evolving job market. Key areas to focus on: AI-driven CRM platforms and automation tools Data analytics and customer insights Digital communication and engagement strategies Final thought: AI is not the enemy—it’s a tool. But it’s replacing tasks, not people. Those who evolve will thrive; those who resist risk becoming replaceable.

Not every company can afford or needs to build the next big AI-native application to stay competitive. For many, the smarter move is to reinvest in undervalued legacy systems — and inject them with AI. Think about it: - Your ERP, CRM, or core operations platforms already run the business. - With AI layered on top, they can deliver new insights, automate decisions, and unlock hidden value. - This approach often costs less, reduces risk, and accelerates ROI compared to building from scratch. Sometimes, the path to an AI advantage isn’t reinvention — it’s reimagination of what you already have. #AI #data #GenAI #AIstrategy #Automation #AgenticAI