This Week in Accounting AI

Fresh off the Wiss Labs Bourbon & Bookkeeping event, Paul Peterson and Matt Barbieri unpack the three biggest questions a room full of CFOs, controllers, and founders brought to the table: How do AI agents handle audit trails? What about hallucinations? And the one everyone wants to ask — are accountants about to lose their jobs? Plus, why the new "intelligent layer" running over the ERP is making context the most valuable asset in accounting.

Fresh off the BDO Annual Conference and meetings in San Francisco, Paul Peterson and Matt Barbieri get real about what's actually happening with AI adoption in accounting, and what's not. Drawing on candid feedback from Wiss staff who piloted AI tools through busy season, they dispel two big myths: that AI means fewer accountants, and that AI tools can be distributed like traditional software.
In this episode:
Why "max your tokens" mandates are killing AI adoption
The hidden cost of implementation that VCs and founders keep missing
Why mandated AI is the case most easily headed for failure
How accounting is shifting from a back office to a front office function
A direct message to startups and VCs: stop treating this like a SaaS rollout
A candid, unrehearsed conversation about why the profession has been undervalued, and why the path forward requires real partnership between accountants, founders, and investors.

For 30 years, ERPs have been built for operations, and the general ledger got bolted on as an afterthought. Paul Peterson and Matt Barbieri argue that's exactly why so many finance leaders say "the accounting blows", and why it was never an accountant problem in the first place.
Fresh off Rillet Recon 2026, Matt shares what he saw in the room: a community that feels more like an apprenticeship than a conference, a live moment where 100 Claude licenses got handed out on the spot to attendees who'd never logged in, and an AI adoption gap in finance that's now an either-or, with very few in the middle.
From there, Paul and Matt dig into the harder questions. Why are companies hiring FP&A teams to do work their accountants are already trained to do? When a growing company outgrows QuickBooks, what's the right way to evaluate an ERP, without starting with the tool? And what does it actually look like to put accounting back at the center of the system, instead of bolted on at the end?
A candid conversation about what's broken in accounting systems, what Rillet is getting right, and what every finance leader should be asking before their next system decision.

Paul Peterson and Matt Barbieri make the case that offshoring is a bandaid, not a fix, and that CFOs evaluating accounting partners need to stop asking "how cheap?" and start asking "how are you building intelligence on my business?" They unpack why context is the new competitive advantage in the AI era, why tribal knowledge is the real moat, and the specific questions every CFO should be asking before signing with a firm, from data security to deliverables to who actually owns the knowledge being built.
Source: https://paulpetersonwiss.substack.com/p/title-why-does-accounting-have-to

Tax season is over. The real work is just beginning.
In this episode, Paul Peterson and Matt Barbieri pull back the curtain on what actually happens inside an accounting firm during busy season, and why, despite billions spent on software and a wave of AI optimism, this year was harder than the last. They get honest about the hidden costs of AI adoption, why offshoring is a band-aid not a fix, and why the most valuable thing an accountant holds isn't a tax return, it's context.Source:
https://paulpetersonwiss.substack.com/p/title-why-does-accounting-have-to

After 25 years in the trenches together, Paul and Matt get candid about something most firm leaders won't say out loud: accounting has been a soul-crushing profession, and it didn't have to be. Sparked by a piece Paul wrote on the industry's broken culture, this episode unpacks why talented, hardworking accountants have spent careers feeling like they're failing, even when they're not. From the 340,000 accountants who left during COVID to the structural silos that still define most firms today, Paul and Matt trace the roots of the equilibrium problem, too much complexity, too little tooling, and a culture that rewards knowledge hoarding over collaboration. Then they turn to what's changing: why AI won't replace accountants but will finally give them the tools to match their ambition, why context and judgment will become the profession's highest-value currency, and why Wiss is betting big on a different kind of future. This one hits different.
Source: 
ttps://paulpetersonwiss.substack.com/p/title-why-does-accounting-have-to

In this solo episode, Wiss CEO Paul Peterson gets candid about a question he recently put in writing: why does accounting sometimes feel soulless? Paul draws on real responses from accounting professionals and sobering industry stats to make the case that the profession has a deeper problem than a talent shortage.
340,000 people left the field during COVID
CPA exam sittings hit a 20-year low in 2022
50% of accountants under 30 say they regret their career choice
Using the Tribal Leadership framework, Paul walks through the five stages of organizational culture and challenges accounting leaders to honestly assess where they stand, and why getting to Stage Four isn't just a culture play, it's a prerequisite for successful AI adoption. He also speaks directly to the people living through the transition right now: doing their jobs the old way while simultaneously piloting new AI tools.
This one's a rallying cry for anyone who got into accounting because they wanted to make a difference and is still waiting for the profession to catch up.
Sources:
https://paulpetersonwiss.substack.com/p/title-why-does-accounting-have-tohttps://www.triballeadership.net/

Paul Peterson and Matt Barbieri break down the costly mistake venture-backed founders keep making — hiring a CFO before the fundamentals are in place, then watching the org chart balloon from the top down. They unpack the traditional finance build, why it creates mismatched roles and bloated headcount, and why that model becomes even harder to unwind once a company is locked in. The conversation shifts to what a smarter alternative looks like: partnering with a co-sourcing firm that can scale up or down with the business, bring AI-powered workflows to the areas that matter most — AP, AR, revenue — and give your head of finance the tools and intelligence they need to operate as a true strategic partner, not a glorified bookkeeper.

This week, Paul Peterson and Matt Barbieri break down two buzzworthy a16z articles asking the questions everyone in finance is thinking: will AI kill Excel? And what happens to your ERP? Spoiler...neither is going anywhere. Instead, Paul and Matt make the case for an AI layer that works around your existing systems, eliminating the Excel workarounds that have quietly become your source of truth. Matt shares how he uses Claude in Excel daily, why even the most die-hard spreadsheet maven doesn't need to memorize formulas anymore, and how Wiss used AI to finally get HubSpot and their revenue data speaking the same language.The takeaway? Don't wait for your system of record to catch up. Find the pain, get a small win, and build from there, because every week you wait, a competitor isn't.Ready to find your small win? Visit wiss.com to learn how Wiss is helping companies cut through the noise and put AI to work where it matters most.
Sources:
Will AI Kill Spreadsheets? — a16z Speedrun
Why the World Still Runs on SAP — Andreessen Horowitz
a16z: The Hardest Enterprise Software, and the Greatest Opportunity in AI

AI tools are advancing fast, but is your accounting team actually ready to use them? In this episode, Paul Peterson and Matt Barbieri dig into one of the most overlooked obstacles to successful AI adoption: tribal knowledge. Those undocumented, person-dependent workflows that live in people's heads (and endless Excel files) can make or break an AI implementation. They discuss why switching to an AI-native accounting stack isn't enough on its own, how to identify and address the real pain points before bringing in new tools, and what the "see it, fix it" approach looks like in practice. They also share an honest take on how they're using Claude and other LLMs day-to-day, and why every accountant should be experimenting right now.
Is your firm ready for what's next? Visit wiss.com to explore how Wiss is helping accounting teams cut through the complexity and build an AI strategy that actually works.