.webp)
Requiring human approval on every AI decision is safe but slow. Removing it everywhere is fast but risky. The right threshold sits in between, and it's not fixed.
.svg)
Most organizations think they're further along in AI maturity than they actually are. Here's a four-level model for honestly assessing where you sit today.
The build-versus-buy question for AI agents isn't really about cost. It's about how much of your workflow is genuinely unique, and how much just looks that way.
The individual steps in most automated workflows work fine in isolation. The failures show up in the gaps between them, where nobody owns the transition.
Most AI agent pilots stall because teams pick the wrong problems to automate first. Here's a simple three-filter test for finding the use cases worth building.
How we built a lead enrichment, scoring, and nurturing engine, a phone number spam-detection system for outbound calling, and a redesigned, conversion-optimized landing page for a global CX and BPO provider.
