An insight you still have to act on yourself isn't help — it's homework. On RevOps Unboxed, Spotlight.ai's Lolita Trachtengerts makes the case for AI that acts instead of just reporting — from copilot vs. autopilot to the three moves any RevOps leader can make right now.

Most sales forecasts are optimistic guesses, defended monthly and missed quarterly. Here is how AI forecasts from evidence instead of opinion, and why the data layer matters more than the model.

Why value engineering teams cap at 20% deal coverage, why more headcount won't fix it, and what changes when artisans become architects.

In cybersecurity, technical buyers face non-technical CFOs. Prateek Goel of Wiz on how value teams arm champions to win the rooms sellers never sit in.

Salesforce Headless 360 exposed the entire platform as APIs, MCP tools, and CLI commands — the body of the agentic enterprise. The decision-making brain on top of it is a separate problem, and the one Spotlight.ai has been solving for two years.

Most CRM data is wrong before the pipeline review starts. Here's why — and how AI revenue intelligence fixes it at the source.

Bottom-up forecasting is more accurate than top-down — but only when the underlying deal data is complete and current. AI makes that possible.

Conversational intelligence tells you about the call. Revenue intelligence tells you about the deal. Most companies bought the wrong one.

Pipeline coverage ratio only works when it's calculated on qualified pipeline. Most companies are measuring the wrong number.

The Spotlight.ai Knowledge Graph is now available through our MCP integration — so you can connect it directly to the tools your team already works in and see what atomic signal analysis actually looks like in practice. Not a demo environment. Not a sandbox. Your deals, your data, your sales motion — run against 40 million signals built on real enterprise selling experience. The checkbox says you're covered. The brain knows whether you are. 👉 Try the Spotlight.ai MCP

The moment data enters your CRM, it starts becoming inaccurate. This is the mechanism behind bad pipeline data — and why discipline-based hygiene programs never solve it permanently.

91% of companies missed quota in 2023. More technology didn't fix it. This analysis identifies the four structural root causes and what organizations that close the gap actually do differently.

Revenue intelligence has been over-marketed. Here is an honest breakdown of what these platforms do well, where the capability gap still lives, and what autonomous execution actually adds.

Analytics reports what happened last quarter. Intelligence tells you which deal in today's pipeline is about to stall. Most revenue stacks only do one.

Top-down forecasting starts with a target. Bottom-up starts with evidence. Here's how to build forecasts from deal-level qualification data — and why it produces materially better accuracy.

Forecasting tools have gotten better. Forecast accuracy hasn't kept pace. The constraint isn't the model — it's the quality of the signals feeding it. Here's how evidence-based qualification signals outperform rep intuition in predicting deal outcomes.

Sales data hygiene is treated like an IT maintenance problem. The consequences of bad data — missed forecasts, wasted resources, inaccurate coaching — are a revenue strategy problem. Here's the reframe that changes how high-performing organizations approach it.

Pipeline reports look precise. The data behind them is almost always not. Here's how rep optimism, stage inflation, and stale data corrupt your pipeline reports — and the operational changes that fix the problem at the source.

Unvalidated pipeline data produces missed forecasts, wasted resources, and closed lost deals that should have been disqualified weeks earlier. Here's how to identify and stop the revenue leak hiding in your pipeline data.

Your sales process isn't a project. It's a product. In this episode of In the Spotlight, Roi Carmel and Yuval Yeret explore why most change initiatives fail in sales orgs, what product development teaches us about adoption, and how leaders can build and operate their teams at the same time.