AI can surface insights. Turning them into action at scale requires a different foundation. Here’s why most deployments stall, and what an Intelligence Substrate actually is.
01 / Latest Blogs
01 / Latest Blogs
AI can surface insights. Turning them into action at scale requires a different foundation. Here’s why most deployments stall, and what an Intelligence Substrate actually is.
NPS has been the gold standard for measuring client satisfaction and overall relationship health for years. Now, however, it’s time to rethink just how heavily we rely on NPS as a predictor of client relationships continuing and growing.
More AI signals don’t automatically mean better decisions — not if the system around them hasn’t changed. Here’s why most AI deployments in professional services create an overload loop instead of the productivity gains teams were promised.
AI disruption is a convenient scapegoat for NRR compression, but the firms winning right now aren’t waiting for the market to stabilize. They’re doing what Ford did in 2008: facing the data with brutal honesty and fixing what’s actually broken.
Discover the power of using AI to become a learning organization that enhances intelligence and decision-making across teams in this post from Mohan Rao.
Promoting your best technicians into client-facing roles is a professional services tradition. It’s also the single greatest threat to NRR. The skills that make someone exceptional at the work rarely transfer to navigating the commercial relationship around it.
02 / Highlighted Posts
AI can surface insights. Turning them into action at scale requires a different foundation. Here’s why most deployments stall, and what an Intelligence Substrate actually is.
NPS has been the gold standard for measuring client satisfaction and overall relationship health for years. Now, however, it’s time to rethink just how heavily we rely on NPS as a predictor of client relationships continuing and growing.
More AI signals don’t automatically mean better decisions — not if the system around them hasn’t changed. Here’s why most AI deployments in professional services create an overload loop instead of the productivity gains teams were promised.
