As featured at IEEE · NY Tech Week
The hardest part of AI isn't the technology. It's the human side.
Daloy founder Jeff Lontoc 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.
A 45–60 minute working conversation, not a pitch. If it's a fit, we scope a fixed-price project 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
Founder, Daloy · Panelist on Implementation & Entrepreneurship
Who's behind it
Two decades helping organizations put workforce analytics and AI to work, most recently leading enterprise AI.
The same operator who shared the IEEE panel stage with Nokia Bell Labs, Google, and IEEE Humanitarian Technologies builds the systems inside your business.
From the IEEE panel stage
Why most AI rollouts stall on the people.
At NY Tech Week, Daloy founder Jeff Lontoc 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.
Proof
What it looks like when the humans come along.
Four functions. Zero hires.
A founder-led holding company was stretched across operations, finance, product, and decision support, work that typically requires a team. We built a coordinated set of AI assistants and automations that absorbed those functions, and trained the team to run them. The founder got their week back without adding headcount, and without anyone feeling replaced.
Distributed teams. One way of working.
A growing company with teams across multiple product lines had no consistent way of operating, and the founder was the only source of truth. We implemented standardized workflows, clear role ownership, and accountability rhythms, designed with the people who do the work. Delivery became predictable and stopped depending on one person.
Production time cut by over 70%.
A high-volume process was being run manually: slow, inconsistent, and impossible to scale. We replaced it with an AI pipeline integrated directly into the workflow, then handed the controls to the team. Output accelerated, quality became consistent, and people were freed for higher-value work instead of pushed aside by the tool.
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 pays off, or how to get your team to adopt it, the Operations Review is where we start. It is a focused working session on where time, margin, and continuity are leaking, free for operating businesses with 10+ employees or 2+ locations.