If your product team is drowning in meetings, handoffs, and alignment decisions (the classic "Large Silo" problem), your structure is the enemy of speed. The answer is Co-Creation. We must empower small, cross-functional units by integrating AI directly into the decision-making loop. It's a collaborative force where Business and Tech Co-Define value and quality, using the AI Partner to automate the execution, testing, and deployment. This model cuts through bureaucracy to deliver Real-Time Decisions and Team Autonomy. Stop managing the overhead, and start shipping. #AgileTransformation #ProductStrategy #AIAdoption #BusinessTechAlignment
How to escape the "Large Silo" problem with Co-Creation and AI
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Opening story: I once watched a product sprint accelerate when an AI agent handled data gathering and initial triage, freeing the team to focus on insights. Latest coverage on AI, AI Agents, SaaS, and Tech from top outlets shows agents becoming practical copilots, linking apps, steering multi-step tasks, and surfacing context for better decisions. The pace is rapid, with emphasis on safety, governance, and explainability as agents scale across business workflows. SaaS platforms are embedding copilot capabilities to streamline processes, while no-code tools enable more teams to design AI-powered automations. Costs and ROI are central talks as models improve and infrastructures mature. Personal thought: these agents are not here to replace people but to extend judgment and curiosity. What part of AI agents: speed, accuracy, or governance, are you most excited to double down on in your team?
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🚀What if you could “work in public”… without being open-source? Teams building closed products usually ship in silence. But the AI era doesn’t reward secrecy — it rewards speed, transparency, and real-world usage. So instead of hiding behind NDA walls, some teams are doing the bold thing: 🔹 Shipping a beta early 🔹 Letting users break it 🔹 Iterating in real time 🔹 Going live with new models within hours (sometimes minutes) Working in public isn’t just a dev culture shift — it’s a competitive advantage. Real usage beats perfect planning every time. 🎤Speaker: Aparna Sinha, SVP of Product at Vercel 🔗Watch her full talk on “The Velocity Advantage: How AI-Native Teams Ship Products Fast and Safe” at https://lnkd.in/gPgcnkQv #ProductCon #ProductManagement #AIProductManagement
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AI workflows are not the future. They’re great for simple, repetitive tasks, but most product work doesn’t fit into that box. Product goals evolve over weeks and months. -> Churn doesn’t get solved in a day. -> Feature rollouts change based on real feedback. The truth is, workflows don’t adapt. They don’t understand the why behind what’s happening. They just follow instructions. When I spoke with product leaders, one theme kept coming up. They wanted to offload continuous, specialized work that required real context, not just automation. That’s where AI teammates come in. Teammates that understand your product, learn from your data, and keep improving their understanding over time. That's why Nexus AI agents go beyond static workflows. They watch session replays, recognize patterns, connect and surface insights across tools that actually explain what’s happening and why. That kind of clarity helps product leaders stay focused on decisions, not dashboards. We're building Nexus so founders and product leaders can 10x themselves, move fast, and stay clear. Reach out or comment "clarity" to get started with Nexus.
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AI is getting cheaper by the day and easier by the hour. The advantage isn’t the model. It’s the experience you build around it. Most teams stack tools and stall. The system beats the hustle every time. 1 Map the journey from first touch to onboarding 2 Automate follow-ups and reminders to keep momentum 3 Add human moments voice notes, quick Loom check-ins, surprise and delight Result: strangers arrive pre-framed and ready to buy. Move now or you’ll be renting customers from the builders who did. Comment "COMMUNITY" and I’ll plug you into our DreamNation circle to learn more about Automations and AI #AIForBusiness #AIAutomation #BusinessAutomation #CustomerExperience #BusinessSystems #MarketingAutomation
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AI is not replacing us - it is elevating us. Today I reflected on how automating routine tasks freed up my team to focus on creative problem solving 😊. Last quarter we tested an AI tool that reduced data entry time by 60% and strangely felt like gaining an extra teammate. Sharing this win reminds me that technology succeeds when it amplifies human strengths. Next steps include refining our prompts and boosting transparency so every stakeholder feels part of the journey. Feeling energized by how small experiments can lead to big shifts in productivity and culture 🚀. Embrace AI as a supportive partner that elevates our collective impact. Our journey continues with curiosity and agility. #AIInnovation #FutureOfWork #TechTrends #ProductivityHacks #Teamwork
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👉 Many tech teams are re-evaluating their release approach: is it better to supplement existing processes with AI helpers, or to re-engineer workflows using fully AI-native systems? Recent interviews with product leaders point to a clear split: AI-assisted teams often speed up standard tasks but may still run into deployment bottlenecks. Those who’ve gone the route of AI-native workflows are reporting shorter release cycles, higher first-attempt success, and more time for rapid feedback. 💭 How does this play out in your environment? Are you seeing gradual gains or a step change in launch velocity? #InnovationVelocity #AINative #AIAssisted #DevTeams #ReleaseSuccess #Benchmarking #Velx
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Smart framing—AI advantage won’t come from faster adoption, but from product teams that align GenAI use with true strategic differentiation.
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Most GTM plans fail not because the tech isn’t good but because the positioning isn’t clear. In a world overflowing with #AI pitches, the real winners are those who understand business pain before product features. Here’s a hot take from Prem Sankar, Business Development Manager at Cubet, on why positioning beats technology every single time. 👉 Swipe through for sharp insights that challenge how you think about AI product GTM. #LeadersHotTake #AIGTM #BusinessStrategy #SalesLeadership #AIProducts #PositioningMatters #LeadersInsights
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The Airtable Dual-Speed Model (And What It Means For Product Teams) Airtable split into two teams: Fast-thinking: AI platform, bold weekly releases Slow-thinking: Infrastructure, long-term stability bets This "dual-speed" model hedges risk. Move boldly where you can. Preserve stability where you must. But here's the uncomfortable question: What happens to employees on the "slow-thinking" team? Do they eventually get replaced by the AI-forward half? For product leaders building AI roadmaps: You can't have one speed for everyone. But you need a plan for the people caught between speeds. #ProductStrategy #OrganizationalDesign #AIAdoption
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CRE Teams + Automation 💼 Great CRE Teams Don’t Just Hustle — They Automate. Body: Top commercial teams supporting major clients all share one secret: They’ve stopped managing chaos manually. Today’s best use AI systems that never forget: 📅 Renewals trigger automatically. 📈 Market updates flow into client dashboards. 💬 Outreach runs through intelligent CRMs. 🧠 Reports write themselves overnight. It’s not replacing people — it’s amplifying talent. When tech handles the busywork, your team stays focused on strategy, service, and scale. That’s the Business Edge. #TechnologiesNOW #CommercialRealEstate #CRETeams #AI #Automation #ClientExperience #PropTech #BusinessEdge
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