How to Stop Your Agentforce Bot From Going Off Track: The Topic Locking Hack
A simple Agentforce delivery hack to keep conversations on track. Topic Locking stops your bots from drifting mid-flow, making them more reliable and customer ready.
The Readiness Layer – Scaling AI Without Breaking the Business
Agentic AI will not work without the right foundations. In this final article, we focus on operational readiness. What needs to be true before you scale agents inside Salesforce? This is where strategy meets control.
The Execution Layer – Where Autonomy Becomes Real
Execution is where Agentic AI becomes real. This article explores how Salesforce enables autonomous action using Prompt Builder, Agentforce, and the Einstein 1 Studio stack.
The Process Layer – Where Logic Meets Autonomy
Automation is not enough. Agentic AI needs structure. In this article, we unpack how the process layer—flows, orchestration, business rules—enables safe, scalable, intelligent action.
The Data Layer – Why Agentic AI Needs Context, Not Just Records
AI is only as good as the data it has access to. In this article, we dive into the essential building blocks of the data layer: identity resolution, real-time signals, and trust. Without it, agents fail.
Agentic AI: What It Is, Why It Matters, and Why Now
Agentic AI is not a buzzword. It is a new model for scaling capability inside your business. This article defines what it is, why it matters now, and how Salesforce is making it real.
The Grind and the Reward: Lessons from Gaming and Professional Growth
Repetition builds more than results — it builds agentic capabilities, mastery, and real trust. This Reflection connects gaming’s grind to how we deliver Salesforce demos and meaningful growth through daily work.
Boost User Adoption with AI-Driven Strategies
AI is the key to solving Salesforce user adoption problems, but don’t forget the power of change management. By tracking user behaviours and offering real-time, personalised support, you can ensure better engagement and faster, more effective adoption.
Rethink Roles. Lead With Agents.
Still designing around people? Flip the model. Start with the agent, and only add humans where necessary. It’s faster, leaner, and made for scale.
We Started With Ourselves: How AI Created Space for Work That Matters
We used AI to rebuild how we work, not to save costs, but to buy back time. This post shares how we automated the boring stuff inside We Lead Out, and what that freed us up to do instead.
Rethinking Testing for Generative AI: Why BDD and Confidence Matter
Generative AI doesn’t follow traditional testing rules — and that’s exactly why BDD and confidence-based validation matter. In this post, we break down how to align your team, safeguard customer trust, and get AI agents production-ready with behaviour-first design and modern QA approaches.