AnswerRocket

🎙️ New Episode: AI, Actually - Ep. 8 Is 2025 the “the year of the agent” or are we actually at the beginning of “the decade of the agent”? In our latest episode, Pete Reilly sits down with Jim Johnson, Alon Goren, and Michael Finley to unpack that claim and explore what it means for enterprises right now. The conversation covers: ✅ Where agents are driving ROI today ✅ Why enterprises can’t afford to “wait” for perfect AI ✅ How modular, adaptable architectures keep organizations flexible for what’s next AI is a growing continuum of value, and those who start now will lead the decade ahead. 🎧 Watch or listen to the episode here: https://lnkd.in/dsKa_Bqm #AIAgents #AIActually #EnterpriseAI #AIStrategy #AgenticAI

🧠 As AI agents gain autonomy and start communicating directly through protocols like MCP, A2A, and ACP, a new class of cybersecurity threats is emerging: agent breaches. In his latest TechRadar piece, Andrew Sweet, our VP of Enterprise AI Solution explores how agentic AI challenges traditional security frameworks and what enterprises must do to maintain control in this fast-evolving landscape. Learn how to protect your organization in the multi-agent era with actionable steps for securing model access, monitoring behavior, and building guardrails that evolve with your agents. Read the full article here: https://lnkd.in/g9y-zHsB #AgenticAI #Cybersecurity #AIEnterprise #AIArchitecture #AISecurity

🎯 Good agent design starts with understanding the user. Building effective AI agents requires an understanding of how people actually work. In this clip from AI, Actually, Nicole Kosky explains why successful agent design starts with empathy and observation. Before you build, you need to see how users analyze problems, the workflows they rely on, and how they navigate decisions day to day. The best AI agents fit seamlessly into those existing patterns, serving up answers naturally, and letting users explore in ways that already make sense to them. #AIActually #AIAgentDesign #AIUserExperience #AIWorkflows #EnterpriseAI

🚀 From implementation to operations: what it really takes to bring AI agents to life. In our last episode of AI, Actually, the team dove deep into what happens after you build an AI agent. This is often the part that’s overlooked. From aligning stakeholders and managing user adoption to maintaining agents in production, these conversations reveal the mindset, skills, and structure needed to make AI truly work inside the enterprise. 💡 Featuring insights from Jim Johnson, Michael Finley, Nicole Kosky, and Reilly Carroll. Watch the episode and explore the full conversation here if you missed it: https://lnkd.in/eHxtquRS #AIActually #EnterpriseAI #AIAdoption #AIAgents #AIImplementation

🏗️ Transforming Bid Strategy with AI-Powered Intelligence As a 110-year-old construction company, success for Western Specialty Contractors depended on smarter, faster bid decisions. But traditional processes relied on gut instinct. Wasting time on low probability opportunities and putting profit margins at risk. With AI-powered bid intelligence, the company achieved: ✅ 75%+ win-loss prediction accuracy ✅ Protected margins amid volatile costs ✅ Reduced time wasted on low-value bids Their custom AI system leverages internal and external data to forecast win probability and integrate scoring directly into Salesforce workflows. By pairing human expertise with AI-driven insights, this contractor redefined how data informs every pursuit, turning bid strategy into a competitive advantage. Read the full case study here 👉 https://lnkd.in/g9zVBnBV #EnterpriseAI #AIDrivenDecisions #ConstructionTech #AIinBusiness #AIInnovation

Before users get hands on with an AI agent, getting useful example questions from them is difficult. But once they finally try it, everything changes. As Reilly Carroll explains in our latest AI, Actually episode, this is when the real learning begins: 💡 Suddenly, users surface dozens of new, unexpected use cases. 💡 Teams realize how much post-deployment management truly matters. 💡 The agent encounters behaviors and thinking patterns it’s never seen before. You can’t design for usage patterns you haven’t observed yet, and that’s why agentic operations are critical to long-term success. 🎥 Watch the clip below. #AIAgents #AIUserTesting #AgentOperations #AIActually #EnterpriseAI

AI is transforming agriculture from the soil to the supply chain. Modern farming depends on precision, adaptability, and sustainability. We partner with agricultural organizations to design and deploy custom agentic AI solutions that drive resource efficiency, improve forecasting, and strengthen environmental compliance. 🚜 Supply Chain & Market Intelligence: Optimize logistics and pricing strategies with real-time insights. 🌍 Sustainability & Compliance: Automate environmental monitoring and reporting with trusted AI frameworks. 🌱 Precision Farming & Crop Management: Turn field data into smarter planting, irrigation, and harvest decisions. AI helps agricultural leaders transform data into actionable intelligence, driving productivity today while building a more sustainable future. Learn more: https://lnkd.in/gTJnJx6A #Agriculture #AIinFarming #PrecisionAgriculture #Sustainability #AITransformation #EnterpriseAI

Check out the October edition of the Rocket Report for all the news, events and new content from AnswerRocket 🚀

Enterprise AI needs to be adopted and maintained. As Pete Reilly, our COO, explains, this is where many organizations hit a mindset wall. Traditional software can be implemented and left alone. AI systems? They evolve. They drift. They demand continuous monitoring, updates, and optimization. This ongoing “care and feeding” is part of the shift toward thinking of AI as a living system. One that learns, adapts, and improves with proper stewardship. AI success is a sustained discipline. #EnterpriseAI #AITransformation #AIAdoption #AIActually #AIMaintenance

🚀 New Episode of AI, Actually, hosted this week by Jim Johnson! Jim leads an incredible discussion with Michael Finley, Nicole Kosky, and Reilly Carroll about what it really takes to bring AI agents to life inside the enterprise. 💡 Episode Highlights: - Why OpenAI’s latest announcements mark a shift into the agentic age, but not necessarily a revolution. - How forward-deployed teams are making agent implementations successful by starting small and iterating fast. - The importance of aligning business stakeholders, managing “agentic operations,” and building trust through early wins. As Jim puts it: “The moment clients start thinking of agents as digital employees, everything clicks and the ideas start flowing.” 🎧 Watch or listen to the full conversation: https://lnkd.in/eHxtquRS #AIActually #AIAgents #EnterpriseAI #AgenticAI #AITransformation #BusinessAI #AIImplementation