Standardized service is getting cheaper. Expectations are rising.
Agencies and nonprofits are using AI to handle more cases with fewer people. People will measure institutions by whether they felt seen.
“The cost of standardized service will fall, and the public’s expectation of being treated as an individual will rise. Trust will go to institutions that use AI to see people more clearly, not to process them faster.”
Glenn Llopis’s projection from Conviction Over Code, Volume 2 of The Conviction Papers (2026). A projection, not a research finding.
The difference between the two columns is rarely the budget or the technology. It is whether the people delivering the service are allowed to see the person in front of them.
AI can make either column cheaper. Leaders decide which one it serves.
Public and mission-driven institutions standardize for good reasons: fairness, accountability, limited budgets. The cost shows up when the people being served, and the people serving them, stop feeling like individuals.
We work with public and mission-driven leaders, their boards and the staff and volunteers who do the work.
The institutions that earn trust will be the ones whose own people feel known first.
GLLG’s methodology has been applied with leaders in corporations, health systems and universities. Measured results from that work:
Full results are on the Proof page.
Do the people you serve feel known?
Tell us where you are seeing the gap, and we will start there.
Developing individual leaders rather than a whole organization? Cohorts and coaching are offered through Conviction Institute.
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