Why metadata and process context are the missing link between agent intent and agent action, and why Elements.cloud is the only tool built to bridge that gap. Agents are Brilliant Goldfish AI agents are extraordinarily capable. They reason, synthesise, take action, and work at a speed and scale no human team can match. But they…
Context Engineering explained In my previous blog, I explored the concept of Context Engineering and how it is making AI Agents more reliable and, therefore, able to perform complex tasks. With Context Engineering curating the right level of contextual information for AI Agents based on an end-to-end process, we can see how we can make…
Why is it that your existing employees initially outperform the new rockstar that you’ve just hired? And why do you have a period of onboarding before a new hire gets up to speed? Institutional knowledge. The new rockstar knows how to do the job. That’s why you hired them. But they need time to understand…
Agentforce represents a new way of working: a model that allows enterprises to scale intelligence across their Salesforce ecosystem. Across multiple sessions at Dreamforce and Agentforce World Tour, Salesforce leaders and partners echoed what has long been central to our approach at Elements.cloud: design comes first. Architecting your agents is critical to achieving reliable outcomes.…
AI agents and autonomous agents are revolutionising enterprise automation. For most companies, the challenge isn’t building them, it’s knowing where they will actually make an impact. At Elements.cloud, we’ve found that the fastest way to unlock value from Agentforce starts with one simple flow: Org → Blueprint → Business Outcome. This is the journey we’ve…
Deploying agents at scale requires a proven, repeatable approach with a strong level of governance. This includes version control of agent metadata and underlying action metadata, setting review cycles based on risk, and continuously monitoring agent performance. With the foundations in place, organizations can confidently navigate the three key phases of the AI agent lifecycle.…
For many companies, the journey from a customer reporting an issue to a development team fixing a bug is often a chaotic and inefficient process. It’s a journey filled with manual steps, miscommunication, and delays that can frustrate both employees and customers alike. At Elements Cloud, we confronted this very challenge within our own “Case-to-Bug”…
How jobs get delivered is changing The rise of AI has ushered in a new era for businesses, providing the opportunity to fundamentally transform operations and creating opportunities for innovation. This shift emphasizes a new conception of AI as ‘digital labor’, where organizations redesign processes to leverage AI’s strengths as a pseudo-employee rather than a…
What’s the problem? Implementing AI agents can seem daunting and organizations struggle to understand the best use cases. The challenge is picking a use case that has a strong ROI and can make an impact. But it also needs to contribute to an overall end-to-end process. There is no point implementing an agent in one…
Salesforce is putting its future on AI Agents, and the ecosystem is feeling the disruption. While it might be tempting to dismiss this new technology as not yet ready, doing so would be a big mistake. Agents are here to stay, and understanding how to build them reliably is key to success. So, how do…
Introduction For over 25 years, we’ve been championing the battle of rigorous analysis, business process mapping, metadata management, and documentation. While a small number of customers shared our vision, we were largely ignored, left shouting our warnings into the void. Most saw documentation as a low priority, building complex Salesforce Orgs that became “black boxes”…
The rapid rise of AI agents is poised to redefine business productivity, from automating customer service to optimizing supply chains. For many organizations, however, this exciting future hits a wall of internal complexity, especially within their Salesforce environments. You simply can’t build a reliable, AI-driven enterprise on an undocumented foundation. The solution? An Operational Graph. What…
The rise of AI agents is more than just a technological advancement; it’s a fundamental shift in how businesses can operate, and for the first time, scale is no longer an inherent defense. Startups, with their agility and a fresh “agentic-first” perspective, are uniquely positioned to disrupt established incumbents. By designing their core business processes…
The rise of AI has brought with it a wave of excitement and, for many, a degree of uncertainty. For Salesforce Admins, the question isn’t if AI will impact their roles, but how they can leverage it effectively. Building reliable AI Agents is a game-changer, offering the potential for monumental gains in productivity and customer…
TL;DR In this recent webinar, Vala Afshar, Chief Digital Evangelist at Salesforce, emphasizes the crucial role of a unified AI agent strategy in achieving an autonomous enterprise. “The superpowers of AI and autonomous business will elude you unless you can map your process in real-time. Identify where you need to have AI agents implemented, and…
You might design a great agentic conversation, a killer automation, or a clever prompt, but if your instructions are ambiguous, inconsistent, or incomplete, your AI Agent will not be reliable, will hallucinate, or worse, do something wrong confidently. Trying to get it to be reliable is time-consuming, frustrating, and painful. And it could even delay…
The AI revolution has landed in your Org. But without clear instructions, your AI Agent is just guessing. AI Agents are here to stay. You can use them to transform how businesses automate work, support users, and deliver insights, but don’t be seduced by the low/no-code interfaces to build your agents. No/low-code does not equal No/low…
Introduction The world of intelligent agents is rapidly transforming how businesses operate, promising a future of enhanced efficiency and personalized interactions. We’re currently in an exciting, yet exploratory phase. While most implementations are standalone or simple, single-topic agents, and agent-to-agent communication (like standards such as MCP and A2A) are just emerging, the industry is still…
Data, Process, and the Future of AI Rebecca Wettman and Patrick from “The Crunch” recently sat down with Ian Gotts, CEO and Founder of Elements.cloud, to discuss the critical intersection of data, process, and AI in today’s rapidly evolving business landscape. While AI and data have dominated recent tech conversations, Ian emphasized a less-discussed, yet…
Step 1 – data governance not data cleanup Salesforce’s report “The One Factor That Defines AI Agent Success” cites data as the key issue. AI is only as good as the data you feed it. Bad data is their junk food. Nourish them with clean, complete, connected data. In this new era of AI and…
In the rush towards an agentic world, those who are excited about the potential seem to see everything as an agent. Some of our earliest use cases didn’t need to be, but we wanted to build them just to get the experience of creating an agent. For example: employee booking their PTO. It was a…
We’ve built AI agents but a lack of transparency into what they are doing, governance of their changes, and confidence in their results is preventing users deploying them. In a word: trust. TL;DR What if you could already deliver transparency, confidence, and trust in building agents today? How many more deployments could be achieved? How…
To announce our strategic partnership with Stretch Engage, we have invited Joachim Sundbø, Senior Salesforce Consultant, at Stretch Engage, to write a special guest article, for the Elements.cloud blog. Read on to see Joachim’s thoughts. Why better Salesforce documentation is the key to AI success As a Salesforce consultant, I tend to ask “Why?” quite…
Headline sponsor The 2-day Salesforce TDX conference is the major user conference aimed at the practitioners. This year the focus was Agentforce with over 3,000 attendees. Whilst significantly larger, Salesforce Dreamforce in September is more of a marketing event where all the different cloud announcements are made and it is far more difficult to make…
As more of the workforce becomes digital labor, who is going to manage it? Jensen Huang – CEO of Nvidia – suggested that as agents were technology, then IT should manage them. Firstly what do we mean by manage? If we draw the parallel between agents as digital labor and humans then it makes it…
AI-powered agents are becoming essential tools for businesses looking to automate workflows, enhance customer interactions, and optimize business processes. However, building effective AI agents requires more than technology—it demands a structured step approach to design, development, and governance. Enter Elements.cloud, the platform of choice for implementing Salesforce Agentforce. By leveraging Elements.cloud, teams can collaboratively design,…
Extreme ideation and AI prototyping. AI is changing the game. Fast. ? Got an idea? Talking about it isn’t enough. Build it. Test it. Improve it—at lightning speed.
The future of work is here, and it’s digital. With the rapid evolution of artificial intelligence, businesses are on the cusp of a revolutionary transformation—one driven by AI-powered “digital labor.” This new era introduces AI agents capable of performing tasks once limited to human agents or employees, offering unprecedented scalability, efficiency, and reach. As Salesforce…
The wrong debate There is a lot of discussion about whether Agentforce’s cost of $2 per conversation is too expensive. It seems to be a sticking point that people can’t get beyond. It’s being cited as the reason that agents don’t or won’t work. $2 is not an issue. It shouldn’t be the focus. We…
The integration of Artificial Intelligence (AI) into the Salesforce platform is reshaping how businesses operate, offering new opportunities for automation, efficiency, and personalized customer experiences. At the heart of this transformation is Salesforce Agentforce, an AI-powered platform that enables agents to reason, plan, and execute complex tasks autonomously. These agents go beyond traditional chatbots to…
This was a short post in Forbes that we have built on and expanded on the points raised in the post. That post looked at the potential of AI Agents and the impact on the workforce, but then it discussed what it takes to build an Agent. AI’s false promise The advances in AI models,…
