Not in a boardroom. Not from a whiteboard.
From real operations, real problems, and a decision to stop accepting them.
BIGGS AI was founded by a multi-location operator running businesses across the Dallas–Fort Worth metroplex. The problem wasn't unique to any one industry — but the willingness to solve it properly was.
After years of watching talented staff struggle under call volume, customers slipping through the cracks, schedules with preventable gaps, and manual processes that couldn't scale — the decision was made to stop complaining and start building.
We chose to prove it first in one of the most demanding environments there is: multi-location healthcare. Strict compliance requirements, high call volume, complex scheduling, and zero tolerance for error. If the platform could perform there, it could perform anywhere.
It did. What started as an internal platform across five active locations became something bigger — an intelligent operating system now being commercialized for any business that runs on communication, serves customers over the phone, and can't afford to miss an opportunity.
If your business has a phone number and customers on the other end of it — BIGGS AI was built for you.
"We didn't build BIGGS AI to compete with other AI companies. We built it to stop losing customers to a voicemail."
Dr. Matthew Schindlbeck · Co-Founder, BIGGS AI
Every feature in BIGGS AI exists because we experienced the problem it solves. Not in theory — in daily operations across multiple locations. These aren't hypothetical pain points. They're the reason this platform exists.
Call volume outpaced staff capacity. Customers were calling, not getting through, and going somewhere else. Every missed call was a missed customer — and nobody had a solution that actually worked at scale. That became Avery.
Lapsed customers, unfilled slots, missed follow-ups — the revenue was there, but nobody had the bandwidth to go get it. Manual outreach didn't scale. Automation without intelligence didn't convert. That became Sara.
Multiple locations, no single view. Problems surfaced at month-end instead of the moment they happened. Every decision was a guess based on outdated information. We needed real-time intelligence. That became Ledger.
Every decision starts with one question: does this make a multi-location operator's life measurably better? Not simpler for us to build — better for them to run. If the answer isn't clearly yes, it doesn't get built.
AI that answers faster means nothing if the caller feels like they're talking to a robot. We hold Avery to the standard of the best human receptionist you've ever met — because that's the only standard that protects your brand.
We don't market features we haven't validated. BIGGS AI was live across multiple locations before it was offered commercially. The proof of concept isn't a pitch deck — it's a call log with 70,000+ entries.
We started in healthcare because it's one of the most demanding operational environments in existence. That made the platform stronger, more compliant, and more reliable for every other industry we serve.
To give every business the intelligence to never miss a call, never lose a customer, and never leave revenue on the table — regardless of industry, size, or scale.
Book a personalized demo and we'll show you exactly how BIGGS AI would operate inside your business — your workflows, your customers, your growth goals.