How to turn AI pilots into connected transformation

At Redwood Software, we believe automation should start with people. Our CPO Charles Crouchman recently shared with Forbes that the most valuable AI use cases are those that give employees time back — by automating repetitive, manual work so they can focus on innovation and creativity. It’s not about technology for technology’s sake — it’s about enabling people to do their best work. Read Charles’s insights in Forbes below. 👇 #AI #Automation #RedwoodSoftware

At Redwood Software, we believe automation should start with people. Our CPO Charles Crouchman recently shared with Forbes that the most valuable AI use cases are those that give employees time back — by automating repetitive, manual work so they can focus on innovation and creativity. It’s not about technology for technology’s sake — it’s about enabling people to do their best work. Read Charles’s insights in Forbes below. 👇 #AI #Automation #RedwoodSoftware

At Redwood Software, we believe automation should start with people. Our CPO Charles Crouchman recently shared with Forbes that the most valuable AI use cases are those that give employees time back — by automating repetitive, manual work so they can focus on innovation and creativity. It’s not about technology for technology’s sake — it’s about enabling people to do their best work. Read Charles’s insights in Forbes below. 👇 #AI #Automation #RedwoodSoftware

“Smart Doesn’t Mean Autonomous—It Means Accountable” A smart workflow that recognizes when to pause, ask, or escalate is one that’s built for long-term success. That is where Human-in-the-Loop AI fits, not as a backup plan, but as a foundational principle. https://bit.ly/45YlVjd

🤖 Before adopting AI, start with the right question: "What problem are we trying to solve?" Are you aiming to free up employees’ time or reduce manual errors? Start small and strategic with tasks like documentation, triaging issues, or writing scripts. As Redwood Software CPO Charles Crouchman told Forbes, “Let AI handle the repetitive work so your teams can focus on innovation.” Read more: https://okt.to/UkJP91 #AI #Automation #Innovation

Redwood is leading the charge with AI, but does every process need AI? 🤔 Determine which processes can be best supported in our Forbes article:

Understand the imperative for AI automation in today's competitive landscape and why delaying adoption can put your business at a significant disadvantage.

After working with a range of AI tools this year, one thing kept standing out: AI isn’t something new, it’s simply the next step in how we’ve been using technology for decades. If your business has ever used workflow tools, dashboards, or chatbots, you’ve already been working with the building blocks of AI. The difference now? Those same systems are learning, adapting, and improving with every interaction. I want to simplify and break down how traditional business tools have evolved into AI-powered systems, from automation to smart automation, from reporting to predictive insights, from data entry to intelligent management. And most importantly, I want to share why the rules of automation are to relevant: - Clean data still drives smart decisions. - Process still defines success. - Human oversight still ensures trust. AI’s true value isn’t in replacing peoplem, it’s in enhancing our capacity and capability. Treat it like hype, and you’ll miss the point. Treat it like evolution, and you’ll find opportunity. 👇 Read the full article here: #AI #Automation #Leadership #BusinessTransformation #DigitalStrategy #OrderAndChaos

🤖👩🏻💻 AI agents are changing how systems think, act, and connect across entire organizations but... how do they work exactly? 🤔 In our latest blog, we break down the core architecture behind agentic AI, where agents “live” within business systems, and how they create measurable value when properly integrated. 👉🏻 https://lnkd.in/gsbBPi7y #agenticAI #AIagents #AItransformation #digitaltransformation

In our last post, we introduced the idea that every business sits somewhere on the AI readiness journey. Many are still exploring what AI means for their operations and how to take the first practical step. For AI-curious businesses, understanding the technology landscape is the best place to begin. A common misconception is that progress comes from building or accessing a single, large-scale AI model. In reality, the most effective shift in enterprise AI is already happening. The move from monolithic models to modular, task-based AI agents is transforming how organisations work. McKinsey’s 2024 AI State of the Economy report found that organisations using modular AI architectures achieve 20 to 30 per cent higher process automation rates than those relying on generic models. Modular systems are built for precision. Each agent performs a specific business function such as customer service, insight extraction, or compliance review, allowing measurable efficiency and faster improvement cycles. We see this transformation across industries. Clients begin with a single private agent trained on their own data, then expand into connected systems once they see the impact. Modular deployment provides control, transparency, and clear ROI while keeping data private and secure. It also avoids the cost and risk of moving all data into one opaque, centralised model. For businesses still in the AI-curious stage, the key takeaway is that AI readiness is not about size or scale, but rather about structure. Starting with modular agents enables learning, experimentation, and measurable success from the outset. The next post in this series will explore why the era of static chatbots is coming to an end and how the new wave of enterprise automation relies on autonomous, integrated AI agents.