Why AI is not a bubble, it's a trend

Why Gen AI matters isn’t about technology. It’s about your customers. Too often, conversations around AI get stuck on buzzwords automation, cost savings, efficiency. But if you’re a business leader, here’s the real lens to look through: Your customers’ expectations have changed. They want faster responses. More personalized experiences. Instant solutions. And Gen AI is the only way to deliver that at scale. Think about it: In retail, Gen AI doesn’t just optimize inventory:-it helps you predict what your customer will want before they know it. In manufacturing, it doesn’t just streamline processes:-it accelerates innovation cycles so competitors don’t beat you to market. In services, it doesn’t just reduce manual effort:-it enables human like support 24/7 that builds stronger trust. The impact isn’t internal, it’s external. It’s not about how much work AI saves your teams, but how much more value your customers feel. And in the end, customers don’t care if you’re using Gen AI. They care that your competitor is, and they’re getting a better experience because of it. The real risk? Not falling behind technology. It’s falling behind your customers. #GenAI #CustomerExperience #BusinessGrowth #Innovation #Signiancetechnolgies #AWS #AWSGENAI

It’s time for Revenue-Side AI. Over the past two years, companies have poured billions into artificial intelligence - yet the payoff has been disappointing. Recent studies from MIT, Fortune, and The Financial Brand all point to the same sobering fact: 95% of enterprises have seen zero measurable return on their AI investments. “Operational AI” has delivered operational efficiencies - automating back-office processes, optimizing call centers, and reducing software testing costs. But CRO’s and CEOs aren’t celebrating. Because cutting costs doesn’t create growth. See more.....https://lnkd.in/eSMQHUMC #ValueSelling #AI #RevenueGrowth #CFO #CRO #SalesLeadership #LeveragePoint #DigitalTransformation #SaaS #B2B

Why Gen AI matters isn’t about technology. It’s about your customers. Too often, conversations around AI get stuck on buzzwords automation, cost savings, efficiency. But if you’re a business leader, here’s the real lens to look through: Your customers’ expectations have changed. They want faster responses. More personalized experiences. Instant solutions. And Gen AI is the only way to deliver that at scale. Think about it: In retail, Gen AI doesn’t just optimize inventory:- it helps you predict what your customer will want before they know it. In manufacturing, it doesn’t just streamline processes:-it accelerates innovation cycles so competitors don’t beat you to market. In services, it doesn’t just reduce manual effort:-it enables human like support 24/7 that builds stronger trust. The impact isn’t internal, it’s external. It’s not about how much work AI saves your teams, but how much more value your customers feel. And in the end, customers don’t care if you’re using Gen AI. They care that your competitor is, and they’re getting a better experience because of it. The real risk? Not falling behind technology. It’s falling behind your customers. #GenAI #CustomerExperience #BusinessGrowth #Innovation #Signiancetechnologies #AWS #AWSGENAI

🎯 Two Truths and a Lie: SaaS AI Edition Our team has been analyzing the wild claims floating around about AI in SaaS, and frankly, some of them are... questionable. Can you spot the lie? Statement A: AI-native companies will be worth more than any traditional SaaS company ever has been (according to recent industry predictions) Statement B: AI can now detect lies with 95% accuracy just by analyzing vocal patterns in a simple game of "Two Truths and a Lie." Statement C: 87% of SaaS companies have fully replaced their customer support teams with AI chatbots Here's what our research uncovered: The truth? Statements A and B are actually real developments we're seeing. AI-native valuations are skyrocketing, and speech analysis technology has become incredibly sophisticated. But Statement C? Complete fiction. While AI is transforming customer support, the most successful SaaS companies are using AI to augment human teams, not replace them entirely. The magic happens when AI handles routine queries while humans tackle complex, relationship-building conversations. The real insight: The companies winning with AI aren't the ones replacing humans, they're the ones finding the perfect human-AI balance. What's your take? Are you seeing AI replace or enhance human roles in your industry? #SaaS #ArtificialIntelligence #TechTrends #CustomerSupport #AITransformation

How I helped a SaaS startup find its killer AI without bloating the product 🔥 A founder hit me up like “we need AI everywhere.” Chatbots, predictions, dashboards — the whole shiny wishlist. But let’s be real… most SaaS products don’t need 10 random AI features. They just need the one thing that actually fixes the biggest pain. So instead of coding straight away we asked simple stuff: - what do users complain about the most - where do they waste hours - what would actually make them go “damn, this feels smart” Turns out their customers were burning time writing SQL all day. So we built one clean AI layer that turned plain English into SQL. Suddenly, everyone could query data in seconds. Retention shot up. Sales got easier. Users felt the product leveled up overnight. And all the other “cool AI ideas”? Not even needed. The takeaway → you don’t need AI everywhere. Just nail the one feature that makes your users’ life 10x easier. So what’s that one killer AI feature for your product?

The evolution of micro SaaS is deeply connected to how well it embraces new tech. Businesses that thoughtfully add AI, while keeping ethics and security in mind, will lead the next phase of digital change. They'll create products that are not only smarter but also more effective and focused on the customer. It won't always be easy, but the potential benefits of using AI in micro SaaS are huge. #MicroSaaS #AI #futureoftech #digitaltransformation

Håkan Apell’s summary of the #AWS guide is an excellent playbook for deploying Agentic AI within the current paradigm. The focus on "autonomous decision-making," "workflow optimization," and "multimillion-dollar efficiencies" is the logical endpoint of a bounded-sum ecosystem—one designed to compete, extract, and optimize within known limits. But there is a profound, unstated risk: Unleashing a hyper-efficient, agentic intelligence into a brittle, bounded-sum system doesn't make it resilient; it makes it dangerously efficient at its own game until it crashes. An agent optimized solely for shareholder value or operational efficiency in a zero-sum market will execute that mandate with a speed and complexity we can no longer control. It will create feedback loops of optimization that strip out redundancy, externalize costs, and amplify systemic risk, making the entire structure more fragile. The true transformation, therefore, isn't just in adopting Agentic AI, but in redeploying it. The most critical "agentic" task we can assign is not to optimize the old game, but to help us design and test the new one. We need agents that can model unbounded-sum outcomes. Agents that don't just execute a business process, but can simulate the second- and third-order effects of a decision on community capacity, environmental regeneration, and long-term systemic health. The choice isn't whether to build agentic systems. It's what game we instruct them to play. Do we use them to win a race to the bottom, or to help us build a foundation that elevates everyone? The "winning organizations" won't be those that simply automate fastest. They will be the ones whose agents are the first to successfully hedge against the bounded-sum crash by prototyping the unbounded-sum future. #AgenticAI #UnboundedSum #SystemsThinking #AI #Risk #Innovation

AI That Moves the Metrics Reducing support costs    AI isn’t just about features. It can cut your support costs in half. Example → A SaaS client deployed an AI-powered support bot.  Within 90 days:  42% fewer repetitive tickets.  Average response time cut from 12 hours to under 1 hour.  Support team reallocated to high-value client issues.  This wasn’t about replacing humans it was about scaling humans.  When measured against support costs, AI often pays for itself in months.    Could your support team benefit from AI-assisted resolution? #Ai #AgentAi #AiforSaaS #CustomLLM #findapro

The future of SaaS is rooted in strategic partnerships fueled by agentic AI. Cultivating collaborative models and emphasizing value-driven selling will empower organizations to excel in this transformative era. Learn more. https://ow.ly/17rm30sPPtx #EYCanada #ShapeTheFutureWithConfidence

🤖 The AI Revolution isn't just coming - it's reshaping how we do business RIGHT NOW. According to Walmart's CEO, "AI is literally going to change every job." And the evidence is mounting: • Microsoft is completely reinventing its structure around AI • OpenAI is disrupting the SaaS industry with direct competition to giants like HubSpot and Salesforce • Major tech companies are restructuring their sales divisions to prepare for the AI wave What's fascinating is how this shift is forcing companies into a critical decision: partner with AI pioneers or compete against them. As Business Insider reports, this isn't just about automation - it's about fundamental business transformation. For those in sales and business development, the message is clear: adapting to AI isn't optional. Companies that integrate AI are seeing faster deal closures and higher conversion rates. The question isn't whether to embrace AI, but how quickly you can adapt your skills to work alongside it. What's your strategy for staying ahead of this AI transformation? Are you partnering with AI or competing against it? #ArtificialIntelligence #BusinessTransformation #FutureOfWork #TechInnovation #DigitalTransformation