AMSS AI insights
Clear thinking for
systems that must work.
Decision-focused notes for leaders planning customer service, sales, and internal operations AI—without inflated claims or one-size-fits-all advice.
Latest thinking
Six questions worth answering before you build.
Each article is designed to improve a real implementation decision—not simply explain a trend.
Which workflow should become your first AI pilot?
A useful framework for weighing volume, business value, knowledge quality, risk, and measurable outcomes.
Your documents are not automatically an AI knowledge base
Why ownership, freshness, exceptions, access, and source hierarchy matter before content reaches an agent.
Test the uncomfortable questions before customers do
Build a scenario set that covers uncertainty, conflicting policies, sensitive requests, and human takeover.
What a credible support AI pilot should prove
Focus on answer quality, containment, handoff success, resolution time, and knowledge gaps—not message volume alone.
Lead qualification AI needs routing discipline
A lead agent is only useful when qualification rules, CRM ownership, scheduling, and exceptions are explicit.
Define the pilot scorecard before launch
Choose a small set of quality, operational, customer, and business measures the team can review consistently.
Turn reading into a decision
Assess the workflow while the questions are fresh.
The free AI Lab turns readiness, knowledge, risk, and measurement questions into a structured planning artifact.
Open the AMSS AI Lab ↗