How to Evaluate an AI Vendor in 30 Minutes
A vendor-agnostic checklist for AI vendor calls and RFPs — fast, practical, and aimed at the gap between revolutionary-sounding features and real results.
A vendor-agnostic checklist for AI vendor calls and RFPs — fast, practical, and aimed at the gap between revolutionary-sounding features and real results.
Vendor AI agents redistribute complexity onto buyer teams. Research shows 45% fail expectations. What senior martech leaders should evaluate instead.
Agency founder details a company-wide AI mandate, the near-miss backlash and productivity dip, and fixes needed to make 'use it or else' adoption stick.
Context rot degrades the rules, segments, and data feeding your AI systems. The ownership model and audit cadence that catch it before outputs go wrong.
Marketing stacks built for transactions train teams to treat customers as pipeline events. How to rewire systems and metrics toward retention and expansion.
Marketing-IT friction is structural, not interpersonal. Partnership models that realign authority and responsibility fix what alignment workshops can't.
Most martech stacks deliver competitive value from just 20% of capabilities. Why implementation energy flows to the commodity 80% — and how to close the gap.
The single view of the customer is a vendor promise that collapses under real-world complexity. Purpose-built data views for specific decisions work better.
Your martech stack underperforms because your organization never built the capability to run it. Training won't fix structural barriers. Here's what will.