Run like a company twice your size

Daloy streamlines the messy, manual work behind your business — and puts practical AI to work where it pays off — so things run smoothly whether or not you're in the room.

Sound familiar?

If your business runs on you holding it all together, this is for you

You didn't build this to be the bottleneck. But somewhere along the way, everything started routing through you. You know the feeling if:

  • The same questions land on your desk ten times a day
  • Things slip through the cracks because nobody owned the follow-up
  • Every location, team, or hire does it a little differently
  • You're doing work by hand that you know a machine should be doing
  • You can't take a real week off without the wheels wobbling

That's not a talent problem. It's an operations problem — and it's fixable.

What Daloy fixes

Less depends on you. More gets done.

Stop being the bottleneck

Work that used to wait on you starts moving on its own. Clearer ownership, cleaner handoffs, fewer fires to put out.

Get everyone running the same play

Consistent ways of working across people, teams, and locations — so quality doesn't drop just because you weren't watching.

Put AI on the boring stuff

Practical assistants and automations that take repetitive work off your team's plate — measured in hours saved, not buzzwords.

Outcomes

The kind of results Daloy goes after

Representative outcomes from the work Daloy does. Real, named client results will live here as engagements complete.

Month-end close: 12 days → 3 days

A multi-location operator standardized one way of closing the books and automated the reconciliation grunt work.

New-hire ramp: 6 weeks → 2 weeks

A services firm documented its core workflows and stood up an AI onboarding assistant, so new people stopped depending on a few key people to get going.

~15 hours a week of manual reporting, gone

A Private Equity-backed company replaced hand-built reports with an AI reporting assistant — freeing the team for work that actually moves the number.

Jeff Lontoc, founder of Daloy

Who's behind Daloy

Enterprise-grade thinking. Small-business reality.

Daloy is led by Jeff Lontoc, who spent 20+ years helping large organizations run better at Deloitte, PricewaterhouseCoopers, and Guidehouse - and has personally built the kind of working AI systems most consultants only talk about.

He's also a founder and operator himself, which means he looks at your business from your side of the table — not from behind a slide deck.

"Most 'AI advice' stops at the slideshow. Daloy goes in, fixes what slows you down, and makes sure it sticks."

Who it's for

Built for businesses that have outgrown their systems

Daloy works best with operators who are past the scrappy stage and feeling the strain of growth.

Multi-location operators

tired of every site doing things differently

Professional services firms

where too much depends on a few key people

Private Equity-backed companies

tightening up operations before the next growth push

Founders

who've quietly become the bottleneck in their own business

If your business is growing faster than your systems can keep up, you're in the right place.

What changes

What it looks like when operations actually work

  • Work moves without waiting on you
  • New hires get productive in days, not weeks
  • Nothing important slips because everyone knows who owns what
  • Repetitive tasks run automatically in the background
  • You can step away and trust the business keeps running

Why Daloy

Practical, not theoretical

Daloy isn't about chasing AI trends or adding complexity. It's about how your business actually runs — and removing the friction that's quietly costing you time, money, and capacity.

Outcome-first, not hype-first
We implement — we don't just recommend
AI used where it earns its place, nowhere it doesn't
Built around your business, not a template

Daloy means flow — because that's what good operations should feel like.

Get started

Let's make your business run smoother — starting with one conversation

If the work feels heavier than it should, things keep slipping, or you want to know where AI could actually help, that's exactly where we start.