AI Insights & Business Intelligence

925 people get the weekly letter. This week the 45 live leads and 47 open deals inside it started getting one note each, drafted by an agent from their own record and edited by a human before it sends. Here is the design, what the research predicts (a name alone lifts leads 31%; a matched message lifts purchases up to 50%), and the three measures set before the first send.

Every founder reaches for an AI pilot or a re-org first, and both fail for the same reason: the data stays scattered and the work stays undesigned. Stanford found 77% of the effort in 51 successful AI programs went into fixing exactly that, so here is the order that closes both gaps at once.

Across more than 1,000 businesses, one-on-one coaching failed for the same three reasons: no prep, no accountability, no usable record. Here is the eight-week path that removes all three, with our own six-week scoreboard showing 30 meetings, 10 preps and 29 open commitments.

A name in the subject line lifts opens 20%, and that is the floor, not the ceiling. Eight research-backed habits you can run this week on rows you already own, plus the one mistake that flips every one of them from lift to drop.

Matched messages earned up to 40% more clicks and 50% more purchases across 3.5 million people, yet most companies stop at a name field and a segment code. A five-rung ladder to place yourself on, the four ways the method fails, and an honest scoreboard of where Edge8 sits.

Two minutes before a 1-1, most founders know a feeling and a stale notes doc. Here is what Edge8's coach walks in with instead, every other week, and why the record behind it is the whole strategy.

Stanford's Enterprise AI Playbook says revenue from AI is rare and personalization that converts comes first. Dave Hajdu walks the four-step order Edge8 lived, from one owned database of 925 people to per-person messages, and says plainly which step Edge8 is on.

The week is the easy part. The return is in the 90 days after: four things to do before you arrive and four once you are home.

Stanford's Enterprise AI Playbook found escalation models delivered 71% median productivity gains against 30% for approval models, with the same tools and often the same use case. The difference is one design decision, where the human sits, and this post walks through how Edge8 runs its own blog that way, including the fact that nobody pressed Publish on it.

A pre-launch wellness startup was about to add a CRM on top of Notion, Shopify, WhatsApp and a waitlist tool. Edge8 told them not to buy it, and the reason is a rule: build one home you own, integrate every tool into it, then remove what you no longer need.

Stanford's Enterprise AI Playbook found that 77% of the hardest enterprise AI challenges were change management, data quality and process redesign, and only 6% were the vendor or platform. Dave Hajdu on why the tool is the 23%, and who inside your company has to own the rest.

Founders write the goal, the guardrails and the budget, then leave the finish line to the model, and the model stops at the most plausible point. Here is what a five-line definition of done looks like for a client plan, a research brief and a report, and three five-minute tests to run before the brief goes out.