A version of this piece was first published in Voluntary Benefits Voice, the monthly publication of Voluntary Advantage.

In Part 1 of this post, we noted that "customization creates snowflakes." That no company can scale while they’re also trying to manage the snowfall.

And that there are 3 key trends across the benefits world within which AI is expressing, shall we say... differently?

First-the leverage-point for systems is moving from “who controls the data” to “how sophisticated and flexible is the configuration?”

Second-decision support (DS) is migrating beyond the O/E window.

Third-software is starting to act, not just inform.

And we looked at how those trends are the VB world. Standardize to configuration, with true customization needs to be scoped and charged separately for, and you’ll have a documented, manageable engine where the client-specific nuances don’t live only in the brains of the account team!

Let's move on to token budgeting, and then wrap up.

What is this actually costing us?
The enterprise conversation about AI is shifting from “is this useful?” to “where is it actually worth the money?” The token is becoming the operative cost unit, and the uncomfortable part is that a rising AI bill can mean real work is getting done - or it can mean the system is thrashing: re-reading context an assistant should already remember, retrying, or reaching for a frontier model on a task that doesn't need graduate-level compute. Anyone who's re-explained the same background to a chatbot for the fourth time has felt a version of this firsthand. At enterprise scale, that kind of friction tends to show up eventually as a real, and rising, line item.

For point solutions, that shift is likely to surface less as a pricing question and more as a reliability one.

Staying visible - and relevant
Part 1 raised the risk of a point solution becoming invisible to an AI-driven engagement layer that can't see or compare it. Part 2 raises something adjacent: even once it's been integrated, if API calls time out, or if context needs to be re-developed or re-explained, it his both costs and the user experience. Expensive dependencies tend to eventually get engineered around, regardless of how good the underlying solution is.

This connects to the carrier-driven standardization noted in Part 1 as well. As carriers and platforms raise the baseline for what “agent-ready” looks like across the stack, a point solution's own integration quality becomes more visible by comparison — a clean, well-documented, low-latency integration starts to look notably different next to one that still requires a manual handoff.

The practical implication seems to be treating an API and integration layer as a cost surface worth attention in its own right, not just a technical checkbox. A point solution that an orchestrating assistant can call cheaply and reliably is quietly becoming part of the competitive picture — even though no employer or consultant / broker is likely to ask about it directly. They're more likely to simply notice which point solution keeps showing up in the recommendation, and which one doesn't, without necessarily being able to say why.

The last word
None of this changes what made a point solution valuable in the first place. It does suggest that being fast, cheap, and reliable to call is becoming part of that value, whether or not it shows up anywhere in the pitch deck.

~ Mark Head

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