Ottimate is an AI-native accounts payable automation platform built for multi-location mid-market businesses that deal in physical goods, including restaurants, hotels, country clubs, grocery stores, senior living communities, and dental service organizations. The platform manages the invoice-to-payment lifecycle, using industry-specific AI to automate processing, improve financial visibility, and link supply costs to inventory and point-of-sale data. Pulse 2.0 interviewed Shawn Lane to learn more about Ottimate, its AI-powered accounts payable automation, and the company’s plans to expand the platform.
When asked about his background, Lane shared:
My career has been driven by a fascination with the intersection of math, technology, and customer value, finding ways to use both to solve real problems for real businesses.
Most recently, I spent six years as CEO of LivTech, a healthcare software company focused on transforming care delivery for seniors, senior living communities, hospice, and in-home health.
That experience gave me a deep appreciation for industries where the stakes are high, the margins are thin, and the people doing the work are not sitting at desks; they’re on the floor, in the kitchen, at the receiving dock.
Ottimate serves the same kinds of businesses, and the mission resonates deeply with me.
When asked about his primary responsibilities at Ottimate, Lane explained:
My primary responsibility is to drive growth and innovation at Ottimate.
We serve mid-market businesses that deal in physical goods such as restaurants, hotels, grocery stores, senior living facilities, dental offices, and country clubs.
My job is to continue pushing the product forward in ways that deliver measurable value to customers, and to make sure we’re expanding our reach into the massive market still ahead of us.
When asked about his favorite memory working for the company so far, Lane said:
It was a recent visit with a mid-market grocer who was highly skeptical of AI.
These were people who had been in the grocery business for 30 years. Their inventory data was a mess, not because they were careless, but because they had never had a reason to clean it up.
They couldn’t reliably predict what bananas, produce, or pre-packaged meals would actually cost them, and they were facing real margin pressure as a result.
Our team sat down with them and walked through the product. But more than demoing features, we demystified AI.
There’s a tendency to think of AI as either magic or a threat. We showed them it’s neither, it’s a tool.
And using it well doesn’t require deep technical expertise. It just requires defining your processes and your rules.
When we showed them they could reduce their accounting workload in-store by about 90%, I watched the moment the light went on.
You could see it on their faces: “This can make my life easier. It’s not scary. It’s going to free me up to do other things.”
That’s my best moment at the company so far.
When asked about Ottimate’s core products and features, Lane detailed:
At its core, the platform handles the full invoice-to-payment lifecycle: capturing invoices in any format, digitizing and categorizing the data with high accuracy, routing invoices through custom approval workflows, and paying vendors directly through VendorPay using virtual cards, ACH, or check.
What makes Ottimate different is the depth of our AI and the industry-specific intelligence built into it.
We don’t just automate 80% of the process; our AI reaches 99% accuracy even when data inputs are messy, which is the norm in these industries.
We also offer item-level validation, which links the cost of supply to inventory and point-of-sale data, enabling operators to make smarter decisions about what to buy, how much to pay, and how to price their goods and services.
The most recent addition is the Ottimate Copilot, which lets non-technical users interrogate their financial data in plain language, no reports to run, no support tickets to file.
Copilot opens the platform up to everyone on the team, not just the finance department.
Staff Turnover And Change Management
When asked about recent challenges in the sector and how Ottimate has addressed them, Lane explained:
The biggest challenge in our sector is staff turnover combined with change management.
You can build the best software in the world, but if the people using it can’t adopt it, or keep leaving before they’ve fully learned it, the value never lands.
In restaurants, annual turnover can run 35 to 40 percent. Healthcare is similar.
So we’re not just solving an adoption problem once; we’re solving it continuously as new faces cycle through.
The way we’ve addressed it is by simplifying implementation and investing heavily in training, not just at onboarding, but on an ongoing basis.
We see it as part of our responsibility to the customer, not a one-time task.
As long as turnover is part of these industries, we need to be ready to meet every new employee where they are.
How The Technology Has Evolved
When asked how Ottimate’s technology has evolved since launching, Lane said:
Ottimate launched AI-native, and that foundation hasn’t changed.
The original insight was this: McDonald’s knows to a fraction of a cent what a slice of cheese costs them. A mid-market restaurant down the street often has no idea whether they’re making money on a menu item.
We set out to close that gap.
The core mission has stayed the same, but the technology has broadened significantly.
We’ve expanded from restaurants into hotels, grocery stores, country clubs, senior living, and healthcare.
We’ve extended from invoice processing into spend management and payments, which lets us close the loop with vendors rather than just processing what they send us.
And with the launch of Copilot, we’ve made the platform accessible to non-technical users in a way that would have been very difficult even a few years ago.
The common thread is that the underlying AI keeps improving at handling real-world complexity like messy data, inconsistent inputs, and industry-specific edge cases.
That’s where the real evolution has happened.
When asked about some of Ottimate’s most significant milestones, Lane highlighted:
A few stand out.
Winning at Y Combinator was foundational. It gave Ottimate, then PlateIQ, the initial funding and credibility to launch and grow.
Expanding beyond restaurants into hotels, grocery stores, country clubs, and healthcare was a major inflection point.
It validated that the core technology could deliver just as much value in other industries, which led to the rebranding from PlateIQ to Ottimate, a name that better reflects the breadth of what we do.
The launch of payments was significant because it allowed us to close the loop.
Instead of just processing invoices, we can now pay vendors directly, strengthening supplier relationships and providing customers with a genuinely end-to-end AP solution.
And most recently, the release of the Ottimate Copilot has been the most exciting development for me personally.
Reporting has always been a barrier for non-technical users. You have to know what to ask and how to ask it.
Copilot lets anyone on the team interrogate their financial data in plain language.
We think it will fundamentally change the relationship between operators and their data.
When asked to share specific customer success stories, Lane said:
Our customers span the full range of mid-market businesses that run on physical goods and tight margins, and the results tend to follow a similar pattern: dramatic time savings, fewer errors, and visibility that operators didn’t have before.
Heritage Grocers Group operates 115 stores across six states under four banners, Cardenas Markets, El Rancho Supermercado, Tony’s Fresh Market, and Los Altos Ranch Market, and processes 75,000 invoices a month.
Before Ottimate, paper invoices were couriered from stores across the country to a centralized AP team in California, a process that could take two to three days.
Today, they process those invoices with 97% accuracy, and invoice processing time has been reduced by 50-70%.
Gen4 Dental Partners (now SGA Dental Partners) is a great example from the healthcare side.
They’re a dental service organization that grew to 103 locations in five years, with a team of just four people processing 6,000 invoices a month.
Before Ottimate, 80 percent of their AP team’s day was spent manually correcting invoice-routing errors.
Their previous system kept assigning invoices to the wrong dental practice.
Ottimate configured a centralized inbox that automatically routes every invoice to the correct location, eliminates the need for constant manual corrections, and cuts vendor analysis time from 30 to 45 minutes down to two minutes.
Month-end close used to require overtime every single month. Now it’s done within regular business hours.
And on the hospitality side, The Club at Admirals Cove, a premier private club in Jupiter, Florida, used to take up to 24 hours to process a single invoice.
With Ottimate, that’s now under five minutes.
Their finance team uses VendorPay for ACH payments, and month-end close is substantially faster than it used to be.
These stories aren’t outliers. They represent what happens when the right technology meets industries that have been underserved by generic financial tools.
When asked about funding and revenue metrics, Lane said:
Ottimate is a privately held company.
What I can share is that we are profitable, our growth has been outstanding, and we employ just under 300 people worldwide.
We think that gives a clear sense of the trajectory we’re on.
When asked about the total addressable market Ottimate is pursuing, Lane explained:
It’s an enormous market, and we’re still in the early stages of capturing it.
In the US alone, there are over one million restaurants, 65,000 hotels, 10,000 country clubs, 30,000 senior living facilities, and 150,000 dental practices.
That’s before you factor in grocery and retail.
We’re genuinely just scratching the surface.
When asked what differentiates Ottimate from its competition, Lane highlighted three areas:
The first is industry-specific domain knowledge.
We’ve spent 14 years deeply understanding the industries we serve, and those industries are not interchangeable.
The workflows of a restaurant are fundamentally different from a hotel or a grocery store. The nuances of their supplier relationships are different.
You can’t build effective software for these businesses from the outside. You have to know them from the inside.
The second is the power of our AI.
Many solutions in our space can automate 80 to 85 percent of the AP process. We reach 99 percent, even when the data coming in is messy, which it almost always is.
That gap matters more than it sounds.
When your business runs on two to eight percent margins, 85 percent automation still leaves too much manual work on the table.
It’s not enough to free up your team for higher-value tasks.
Getting from 85 to 99 requires something genuinely different, and that’s what our AI delivers.
The third is item-level validation.
In plain terms, this means we connect the cost of your supply chain all the way through to your inventory and your point of sale.
That allows operators to make better decisions about what to buy, how much to pay, where to
For any business running on thin margins, that end-to-end connection is a real competitive advantage.
When discussing Ottimate’s future goals, Lane explained:
Our overarching goal is to continue expanding into this market while delivering more and more value to each customer we serve.
The solution we have today can drive a 10x return for a customer. We want to push that further.
We keep coming back to that original Y Combinator insight: McDonald’s knows exactly what they pay for a slice of cheese. Most operators don’t.
We’re building toward a world where any mid-market business has that same level of visibility and control.
Concretely, that means expanding Copilot so operators can ask natural language questions about any part of their business, not just AP.
It means pricing optimization tools that help them make smarter decisions about their menus and products.
It means deeper integration with inventory, contracts, and control files so the data flows where it needs to go.
And there’s an agentic path we’re moving toward, the idea that in the future, you’ll be able to deploy an AI agent as an AP clerk.
Not a replacement for your team, but an intelligent assistant that handles the routine work so your people can focus on judgment calls.
We’re on the cutting edge of that direction.
There’s still significant work ahead, but that’s where we’re going.
Why AP Automation Is Difficult
When invited to discuss another topic, Lane explained:
Yes, I want to talk about why this is hard.
AP automation sounds straightforward on the surface. You process invoices.
But the reality is far more complex, and I think it’s worth being honest about that.
Here’s a real example from grocery.
A store orders 100 turkeys for Thanksgiving, roughly 10 pounds each. The truck arrives with 88 turkeys.
They range from 8.2 to 13.5 pounds. Some are Cajun, some are buttered, some are plain.
The store rejects 10 because they’re damaged.
And then the vendor changes the price, up 15 cents per pound above the contracted rate.
It’s Thanksgiving, so you need the stock. You can’t be a grocery store without turkeys.
On top of all that, there’s a special supplier form that might qualify you for a discount or coupon.
The person handling this at the receiving dock is not an accountant.
They accept the order, get a paper bill of lading with a handwritten note about the rejected turkeys, and put it on the butcher’s desk, where it may or may not survive the day intact.
Now multiply that by 50 deliveries per day across multiple locations.
That is the actual problem we’re solving.
It’s complicated, messy, and high-stakes.
And it’s why industry-specific domain knowledge matters, why AI that’s tuned to these environments matters, and why general-purpose AI tools, however powerful, can’t just step in and handle it.
This is not a problem you solve by taking a picture of a receipt on your phone.
We like hard problems.
The businesses that need this most are the ones we’re best positioned to serve.
