The AI conversation has moved from capability to consequence. Something keeps coming up in our conversations with customers, partners, and teams: AI is getting easier to try but harder to trust at scale.
The demos are better. The agents are more capable. The use cases are clearer. But once AI starts touching real workflows, the questions change fast. What should it be allowed to do? What should it never do? What will it cost when usage grows? Who owns the outcome when it acts?
This is the shift on our minds: going from experimenting with AI to building systems the business can actually stand behind.
In Progress
Six months in, AI is entering its production reality
Travis Rehl’s midyear read is clear: the teams pulling ahead are not chasing the smartest model. They’re solving for cost, correctness, and trust.
In Practice
Scaling smarter on AWS while keeping costs and confidence in check.
Growth takes more than cloud capacity. It takes a partner who can help balance cost, scalability, and operational confidence as the business keeps moving.
AI Unplugged Podcast
AI can collapse days of work into minutes, but speed only helps if people can trust what they’re seeing, understand what shaped it, and stay aligned as decisions accelerate.
That’s the tension behind Episode 14 of AI Unplugged: AI Trust, Global Politics & Agentic Delivery.
In Action
Automation vs Agentic AI
If AI is only drafting, summarizing, routing, or flagging, it may be speeding up fragments of work while leaving the real bottleneck untouched. Read why agentic AI matters when the goal is not more activity, but helping work move safely toward done.
In Person
Giving back to the Rochester Community
InnoWeek is a dedicated week for the Innovative team to step out of the day-to-day and reconnect around what matters.This year our InnoWeek Community Hour was really two hours. Because when the team shows up, they show up fully. We turned our energy toward House of Mercy and R Community Bikes.SIGN UP TODAY
