IEEE panel · NY Tech Week
The hardest part of AI isn't the technology. It's the human side.
Jeff Lontoc, now founder of Daloy, made the case on the IEEE Future of AI panel: the organizations that win with AI treat it as a leadership challenge first. We build the systems, put practical AI on the busywork, and train your team to own it, so the change actually sticks.
Start with a free 20 to 30 minute intro call. If it is a fit, we scope a paid Daloy Operations Review from there.
The panel
- When
- Thursday, June 4, 2026 · 3:00–5:00pm EDT
- Where
- IEEE NY HQ · 3 Park Ave, New York
Jeff Lontoc
Panelist on Implementation & Entrepreneurship · Listed as Guidehouse at the event, now founder of Daloy
From the IEEE panel stage
Why most AI rollouts stall on the people.
At NY Tech Week, Jeff Lontoc, now founder of Daloy, joined leaders from Nokia Bell Labs, Google, and IEEE Humanitarian Technologies to talk about where AI goes next. After two decades helping organizations put analytics and AI to work, one idea stayed with him.
The organizations that navigate AI well treat it as a leadership challenge first and a technical one second. They design the tech thoughtfully, communicate openly, and give their teams real reasons to trust the change, so people see AI as something that expands what they can do, not something done to them.
That conviction is exactly how Daloy runs every engagement. We don't drop tools on your team and leave. We build the systems, put practical AI on the repetitive work, then train your people to own and extend it. The technology lands because the humans around it were brought along.
On the record
- Moderator
- Abhimanyu Gupta, IEEE ComSoc
- Nokia Bell Labs
- Matthew Andrews
- Gautami Nadkarni
- IEEE Humanitarian Tech
- Mariela Machado
How that conviction becomes work
See it. Fix it. Own it.
The panel idea is simple in practice: bring people along, and the technology lands. Every Daloy engagement moves through the same three stages, run alongside your team so the AI is theirs by the end.
See it
We start with a focused operations review, run with the people who actually do the work. We map where time and margin leak, where the business depends on a few key people, and where AI would genuinely pay off. A working conversation, not a sales call.
Fix it
Fixed-scope projects that unblock how work moves and put practical AI on the repetitive parts. We design the change with your team in the room, so the people who use it understand it and trust it. Priced up front, scoped to deliver a clear return.
Own it
This is where the human side is won or lost. We stay embedded through rollout, then hand over the keys. Your team is trained to run and extend everything we build. The playbook and the system are theirs, and they hold without us in the room.
Illustrative scenarios
What it can look like when the humans come along.
Illustrative scenarios, not client results. Each describes a type of operating problem and how Daloy would approach it.
Multi-function work in one coordinated system.
A founder-led company is stretched across operations, finance, product, and decision support. The approach pairs AI assistants and automations with named owners, then trains the team to run them, so the tools support people rather than replace them.
Distributed teams, one way of working.
Teams across several product lines each work differently, and the founder is the only source of truth. The approach designs standard workflows, role ownership, and accountability rhythms with the people who do the work.
A manual, high-volume process.
A high-volume process runs by hand and cannot scale. The approach builds an AI step into the existing workflow, tests it on real cases, and hands the controls to the team before it scales.
Start here
Heard Jeff on the panel? Let's talk about your operation.
If AI is on your list but you are not sure where it helps execution, start with a free intro call. If there is a fit, the next step is a paid Daloy Operations Review focused on operational drag in one workflow or operating lane, typically $2,500 to $5,000 depending on scope.