AI for Customer Success: What an Agent Can Actually Do (and What It Needs to Do It Right)
Four capabilities, what each one requires from your data, and the test that tells you whether you can act on the output. TL;DR An AI ...
Four capabilities, what each one requires from your data, and the test that tells you whether you can act on the output. TL;DR An AI ...
“Why can’t you do this without the Databox MCP? Because you’re not going to get it. I tried it. It doesn’t work.” — Rick Kranz, ...
Automated briefs earn their keep by preserving judgment quality at the moment a decision has to happen. They don’t just save time; they surface patterns ...
Every tool in your stack now has AI inside it. The questions that move your P&L live between them. TL;DR Almost every tool in your ...
The pipeline is in the CRM. The forecast isn’t. TL;DR Your AI tool is connected to Salesforce. You ask: “What’s our realistic Closed-won revenue for ...
TL;DR Ask a Marketing Lead how the quarterly plan actually gets built. Not the strategy, the mechanics. The answer, in most teams, is a spreadsheet: ...
Shopify’s MCP servers give Claude real command of your store, from storefront conversations to bulk product updates. Analytics is the one job they were never ...
TL;DR The AI-analytics category has one operating assumption: AI’s job is to do more of what humans currently do. Adoption is measured by delegation surface. ...
Services firms run on a specific financial rhythm that traditional business dashboards were not built for. Revenue is lumpy because invoices land when clients pay ...