Here’s a thought experiment. You ask ChatGPT to write you a research summary. It comes back 70% accurate. You tweak a few paragraphs, fix some facts, and you’re good to go. Now imagine that same 70% accuracy rate applied to your general ledger, audit workpapers, or financial statements.
As Mark Hickman, Sage’s Managing Director for North America, puts it bluntly, “You go to jail for that.”
That line from Episode 34 of The Unofficial Sage Intacct Podcast cuts straight to a tension every CFO, controller, and accounting professional grappling with AI needs to understand. The technology promising the biggest efficiency gains in a generation operates in a profession where approximate answers are a liability.
Hosts Doug Lewis, Matt Lescault, and Emily Madere sat down with Mark for their second annual Sage Future conference preview episode. Mark oversees Sage’s largest and fastest-growing region. He’s watched the Intacct acquisition grow more than 10x over the past 11 years. He’s in front of customers and partners constantly.
When he talks about what finance leaders say about AI, it’s field intelligence from someone who’s been in tech for nearly 25 years and has seen every major shift from dial-up internet to cloud computing.
He argues that while every corner of technology races to bolt on AI capabilities, accounting demands a fundamentally different approach built on trust, traceability, and human control. And the companies best positioned to deliver that are the established platforms sitting on vast reservoirs of trusted data.
Accounting AI Can’t Be a Black Box
Strip away all the marketing noise around artificial intelligence and you land on a simple question: where did that number come from?
In most industries, that question is nice-to-have. In accounting, it’s everything. And it’s why Mark frames Sage’s entire AI strategy around three pillars: trust, control, and accountability.
“When you type into ChatGPT, write me an essay on this or write me a paper on this, it can be 70% right and you can tweak it,” Mark explains. “You can’t be 70% right in accounting.”
- Trust means AI outputs can’t disappear into a black box. Sage built what Mark calls a “trust label.” It’s a mechanism that lets users click into any AI-generated output and trace exactly where the data came from and how AI reached the conclusion. Think of it as an audit trail for the AI itself.
- Control means humans stay in charge. “Accounting is different,” Mark emphasizes. “We can’t just have AI running everything behind the scenes. We need humans to control that AI and deliver what they need from those outputs.” The AI changes day-to-day workflows, but it assists rather than drives.
- Accountability means everything is traceable. “We don’t want some large language model that somebody’s just pumping stuff into. It’s coming back. You have no idea where it came from, how that data was trained. Is it hallucinating? Is it not hallucinating? You need to be able to trust that that AI is credible, and you’re going to be able to use it in your accounting when you produce that to the auditors.”
Emily pushed Mark on a question many Intacct users ask: what about these new solutions flooding the market that claim to be “AI first”?
Mark’s response was diplomatic but pointed. New organizations saying “we’re AI native” and driving innovation are “good things for our industry.” But “how do you train AI? You train AI with data. We have a lot of data.”
Beyond raw data, Sage just kicked off what Mark calls its “Agentic AI marketplace.” This is a framework where partners build specialized AI agents that work across the broader Sage ecosystem. “We’re building hundreds and hundreds of agents that will be available to our customers,” he notes. The company is taking a platform approach where domain expertise gets layered onto trusted financial infrastructure.
The Adoption Paradox: Faster Than Cloud, Slower Than the Hype
Mark brings perspective from his 25 years in tech. He remembers when the internet arrived on dial-up connections that took five minutes to load. He watched the cloud evolve from radical concept to default infrastructure. Now he’s seeing AI reshape everything again.
“People thought it was going to move much quicker than it actually is,” he observes. “Adoption in these things is way more complicated than actually delivering the tech for it.”
In each major tech shift, people overestimate adoption speed. “The cloud is still being adopted in some places,” Mark points out.
The hosts brought up a perfect example of the hype-reality disconnect. Allbirds, a shoe company, rebranded itself as an AI organization and watched its stock rocket 600% in a single trading session before promptly crashing. “It’s reminiscent a little bit of the dot-com boom,” Mark says, “where people had a website and therefore their business was worth billions. And then everybody figured out they didn’t actually have a business case.”
But he distinguishes this moment from that bubble. “If you look at AI, it’s being driven predominantly by very large companies that are established with lots of customers and lots of money.” The recent tech stock dip “is just a reset on the adoption.”
So what are finance leaders actually saying when Mark sits across from them?
“We’re hearing this is game changing,” he reports. But it’s game changing in specific, practical ways:
- Efficiency that enables strategy. “They look at AI to help them be more efficient so they can be more strategic,” Mark explains. The role of the CFO is becoming “significantly more strategic.”
- Faster closes. “We’ve been talking for years about reducing time to close and eliminating the month-end close. AI is really going to speed that up.”
- Immediate productivity gains. “When we let customers use our agents, they’re like, ‘I’m three times more productive. I cannot believe how much faster we’re getting things done.'”
But adoption takes time. “You can’t just inject things like that into your business overnight,” Mark cautions. “It’s got to be done in a way that makes sense to your workflows and your teams and how your processes roll.”
The conservative pace of AI adoption in finance is an essential feature in a profession where errors carry legal consequences.
Beyond the AI Headlines: What Else Is Changing
Matt asked for more insight into some other things happening at Sage that might not get as much attention because of how much focus is on AI.
Mark shared several initiatives that may have immediate impact:
- Speed to market and faster implementations. “How are we going to implement faster? How are we going to get customers’ time to value reduced?” Mark asks. Matt reinforced why this matters. “If we have implementations that take three, six, eight months, we’re going to lose on that side of things.”
- Vertical and micro-vertical specialization. “Our solution addresses the needs of those businesses within those verticals, which is something we’ve always done, but we’re doubling down on that,” Mark explains.
- Strategic acquisitions filling gaps.
- Expense management. “We’re about 12 months into it and it’s done incredibly well. Overachieved all targets. Customers love it.”
- Sage HCM (payroll and HR). “It’s a great technology that’s really going to help us grow our business and deliver for our customers in a complete solution.”
Emily confirmed these acquisitions address real needs. “That was a big gap. In the past, a lot of clients asked for an expense management solution and wanted it all in one.”
What to Expect at Sage Future 2026
The Sage Future conference runs April 28-30 in San Francisco. Based on last year’s feedback, Sage restructured the entire event.
The new three-tier structure includes:
- Keynotes now feature primarily external voices. Mark will interview Scott Krug, CFO of the New York Yankees. “He closes the books and does audits just like everybody else,” Mark says. Kara Swisher will discuss AI trends.
- Super Sessions are new, product-specific deep dives.
- Breakout sessions provide the next level of detail for features that caught your attention.
Matt made an important observation: “I’ve seen a lot of clients implement Intacct and then don’t go back to reconfigure over their lifetime. They’re not getting the full feature set out of the product.” The Super Sessions directly address this education gap.
Other highlights include:
- Three embargoed announcements that Mark calls “very exciting and game changing for customers and partners”
- CPA.com as titanium sponsor, validating Sage’s positioning as “accountants who serve accountants”
- Monday night at Oracle Park (Giants stadium) and Thursday’s Sage Fest at an undisclosed “top” San Francisco venue
- Post-event content distribution through webinars for those who can’t attend
“We want people to leave understanding where we’re going as a business and how we’re supporting them,” Mark says.
The Question Every Finance Leader Should Ask
The thread running through Mark’s conversation reframes how accounting professionals should evaluate every AI pitch landing on their desk.
A 70% accuracy threshold works for drafting marketing copy, but it’s a non-starter when the output feeds financial statements and regulatory filings. That constraint reshapes everything about how we build and deploy AI in accounting.
Whether you’re a CFO weighing technology investments, a controller separating AI substance from hype, or a partner building around the Sage ecosystem, listen to the full discussion. And if you’re heading to Sage Future 2026 in San Francisco, you now know exactly what to look for.
