Your AI agents deserve a probation period
This week, We Lead Out had a visible presence at both the Salesforce World Tour and the Agentforce technical workshop. For someone who prefers quiet building to crowded rooms, it was confronting. But what I found was a series of thoughtful, energising conversations with people who see the same cracks in the system that we do — and who want better. Being in the room matters.
Sales and Marketing in the Age of Hyperpersonalisation
AI is shifting sales and marketing from static campaigns to dynamic, self-improving systems. Hyperpersonalisation, agent-led prospecting, and feedback-loop-driven messaging are becoming the new standard. Services leaders must evolve their GTM models or risk becoming irrelevant.
Being In the Room
This week, We Lead Out had a visible presence at both the Salesforce World Tour and the Agentforce technical workshop. For someone who prefers quiet building to crowded rooms, it was confronting. But what I found was a series of thoughtful, energising conversations with people who see the same cracks in the system that we do — and who want better. Being in the room matters.
The Fit-Gap Fallacy: More than a checklist
Forget the feature checklist. A good fit-gap shows where the real risks are—technical, cultural, and commercial. Here’s how to run one that drives action.
Track Your Prompts Like Code
As your agent matures, its prompt logic risks becoming invisible and unmanageable. This post shares a delivery-tested method to keep prompts versioned, testable and traceable so your team can debug and evolve AI behaviour with confidence.
Managing What Doesn’t Breathe: AI in the Org Chart
AI agents are reshaping how work gets done. Leaders must prepare for org charts that include digital labour—with metrics, management practices, and delivery models to match. Firms that treat agents as first-class team members will gain a structural edge.
Waking Up My Network Changed Everything
When we started We Lead Out, I made a conscious decision to stop letting my network go dormant. What started as a growth tactic turned into something much more powerful: a mindset shift about relationships, trust, and sharing ideas with the people you rate.
Start with Sharpness
You’ve mapped the now, now it’s time to shape the next. This post dives into how to design a future state that’s not just visionary, but practical. From defining business capabilities to aligning people, data, and tech, we walk through the key steps that actually lead to sustainable transformation. No jargon, just strategy that works.
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.
Scaling AI in 2025: What Happens After the Pilot Works
AI pilots are great, but they’re not the destination. This week’s Future Now post is all about what comes next. From strategy alignment to system integration and workforce design, we break down how to scale AI across the enterprise without losing momentum or trust.
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.
Designing the Future State: Where Strategy Meets Imagination
You’ve mapped the now, now it’s time to shape the next. This post dives into how to design a future state that’s not just visionary, but practical. From defining business capabilities to aligning people, data, and tech, we walk through the key steps that actually lead to sustainable transformation. No jargon, just strategy that works.
Where AI Is Already Paying Off: 2025 Use Cases You Should Be Piloting Now
AI isn’t coming, it’s already delivering real results across Australian businesses. From smarter sales outreach to behind-the-scenes automation, this post highlights five practical use cases where AI is quietly making work faster, smoother, and (dare we say?) more fun. If you're wondering where to start in 2025, these are the pilots worth running.
Why We Built an AI-Native Consultancy from Day One
At We Lead Out, we didn’t retrofit AI into a legacy model—we built around it from the start. In this post, co-founder Christopher Nugent shares why we chose to create an AI-native consultancy from day one, what that really means in practice, and how it’s helping clients move faster, reduce costs, and unlock better outcomes. This is a behind-the-scenes look at a new kind of consulting firm—one designed for the AI era.
Strategy Series: Mapping the Now Before Designing the New
Before you can transform a business, let alone apply AI, you need to understand how it works today.
Not how it's supposed to work. Not what’s written in the process manuals. But how your teams get things done, where decisions are made, and how value is created and delivered.
This is where every successful transformation starts: with a clear-eyed, shared understanding of the current state of your operating model.
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.
Why the Time to Act on AI Is Now: The Environmental Forces Creating a Strategic Imperative
The rapid rise of generative AI and agentic automation is reshaping the strategic landscape for businesses across Australia. What was once a fringe capability is now a mainstream force. One that demands board-level attention. This post sets the stage for our 8-part series, exploring the key environmental insights that drive the need for immediate action. From sales to service, strategy to execution, we’ll unpack what’s working, what’s coming, and how to prepare.
AI Won’t Replace Your Team. But It Will Change How You Work.
There’s a lot of noise about AI replacing jobs. One model per person. One agent per role.
But in reality, that’s not how the change is happening.
At We Lead Out, the right starting point is your operating model. You need to decompose what people do and ask where AI can step in to support, rather than replace.
It’s not about removing roles. It’s about helping your people focus on higher-value work, while AI agents handle the repetitive, rules-based stuff.
The Cost of Choosing the Wrong AI Model in Agentforce
Choosing the right AI model is not just a technical decision, it shapes your speed, cost, and outcomes. Here's how we map models to jobs in Agentforce and avoid common delivery pitfalls.