Why automating a process doesn't mean you've improved it.
Discover how the "yes reflex" in AI approvals can lead to costly mistakes and why structural safeguards are essential for safe AI integration.
Two-thirds of the work was research and planning. The actual production - recording, rendering, packaging - was under 20 minutes.
This is the pattern AI unlocks everywhere: expertise becomes the bottleneck in a good way. You're not blocked by production capacity. You're blocked only by the quality of your thinking.
For fifteen years, go-to-market has operated on a brutal tradeoff: you can have scale, or you can have relevance. Not both. AI breaks that tradeoff... and the companies recognizing it aren't reorganizing around cost reduction. They're building capabilities that didn't exist three years ago. This is what that looks like at the top of the funnel.
The first step in any AI implementation is data. This is the core truth we bring to every client engagement. AI inherently needs data to succeed-it can't forecast your close rates until it knows your current close rate. It can't tell if 90-day-old deals are dead if you're not accurately tracking open and close dates. It needs this fuel to do its magic.
If you really want to understand how a company works, don’t look at the org chart - look at how people talk. Every meeting, every misfire, every “wait, that’s…
This week, our work on our AI focused on a dual objective: advancing the core architecture of our AI-driven meeting intelligence platform while simultaneously…
Discover how a simple AI prompt can reduce hallucinations and transform your approach to AI governance for better business impact.
We shipped work that turns conversations into durable outcomes faster, cheaper, and with clearer audit trails. The headline this week is simple - smaller…
Discover how to effectively choose and adapt prompting frameworks to enhance your AI outputs, ensuring clarity and precision for every task.