CFO Executive Roundtable
Chicago
Midwest finance leaders gathered to cut through the AI hype and get direct answers on what is actually working inside the close cycle, the ERP stack, and FP&A.
- Date: February 19, 2026
- Location: Chicago, IL
- Format: In person executive roundtable focused on AI in the close cycle, ERP data strategy, and the modernization of FP&A for Midwest enterprise companies
- Audience: CFOs, VP Finance, Controllers, Finance Directors, and FP&A Leaders from mid market and enterprise companies across the Midwest
- Hosted by: ChatFin
Midwest finance leaders tend to be direct. At the February 19th roundtable in Chicago, they were. The conversation skipped past vendor positioning and early stage AI promises and went straight to the question that every CFO in the room was actually carrying: which parts of the finance function are ready for AI right now, and where does the sequencing need to start?
What emerged was a ground level view of AI adoption in enterprise finance. The real wins, the real stalls, and the specific reasons why some teams are moving faster than their peers. The Midwest context mattered. Many of the companies represented are in manufacturing, distribution, and industrial services sectors where ERP systems are deeply embedded and where any AI deployment has to prove itself against existing processes, not alongside them.
The Question That Opened the Room
The facilitator opened with something most CFOs had never been asked directly in a group setting: if you could eliminate one recurring finance task that consumes the most senior time without creating any strategic value, what would it be?
The answers came quickly and landed in three clusters: manual reconciliation that takes days to complete and hours to defend; month end variance commentary that requires assembling the same data from five different places every single cycle; and board reporting that gets rebuilt from scratch each quarter because the underlying data connections are not stable enough to trust automation.
Those three answers shaped the entire afternoon. The Chicago roundtable became less of a discussion about AI in the abstract and more of a working session around those three specific problem areas and what it actually takes to eliminate them.
We are not short on talented analysts. We are short on time for them to do the work that actually requires their talent.
VP Finance, Midwest Distribution Company · Chicago Roundtable, February 2026That statement reflected something every leader in the room recognized. The capacity problem in finance is not a headcount problem. It is a leverage problem. The right people are spending the wrong proportion of their time on tasks that AI can handle, which means the judgment calls that actually require senior expertise are getting compressed into whatever time is left over.
What the Chicago Conversation Surfaced
Five distinct themes emerged from the February 19th session, each driven by real challenges that attendees brought to the table rather than pre set agenda items.
Patterns from the Leaders Furthest Along
The most instructive part of the February 19th session came from the three leaders in the room who were 12 to 18 months ahead of their peers in AI deployment. Their experiences had more in common than their different industries, ERP environments, and company sizes might suggest.
All three had started with a single, painful, well defined problem rather than a comprehensive AI strategy. All three had insisted on connecting their AI tools directly to live ERP data rather than working from exports or data warehouse copies, specifically because the data freshness was critical to building internal trust in the outputs. And all three had spent as much time on internal communication as they had on the technical deployment, particularly around making clear to their finance teams that the goal was to eliminate the tedious work, not the people doing it.
The common outcome across all three was a finance team that had capacity for the first time in years. Analysts doing analysis, controllers focusing on judgment calls, and CFOs spending more time with the CEO and the board than with the reconciliation schedule.
There is a pattern emerging among Midwest enterprise finance teams: they are pragmatic in a way that produces better AI adoption outcomes. They insist on proven results before broad deployment. They want to see the AI work against their actual data, in their actual ERP, on their actual close cycle before they commit.
That skepticism, applied correctly, produces better implementations. The Midwest companies at the Chicago roundtable that are furthest along in AI adoption are not the ones who moved fastest. They are the ones who insisted on a narrow, high quality proof of concept before scaling and then moved decisively once it delivered.
The AI tools that earn trust in a Midwest manufacturing finance team tend to earn it durably. That discipline is producing some of the most successful deployments we have seen across any market.
Who Was in the Room
The Chicago roundtable brought together senior finance leaders from mid market and enterprise companies headquartered across Illinois, Wisconsin, Indiana, and Michigan. Sectors included manufacturing, distribution, logistics, professional services, and industrial technology.
How ChatFin Fits the Midwest Enterprise
The Chicago conversation gave ChatFin a useful test. Midwest enterprise CFOs ask harder technical questions than most about data residency, audit trails, ERP compatibility, and what exactly the AI is doing when it touches a financial record. Those questions are the right ones, and they are questions that ChatFin is built to answer concretely.
The platform connects natively to the ERP environments most common in the Midwest enterprise including JD Edwards, SAP Business One, Dynamics 365, NetSuite, and Acumatica and runs as an AI layer directly on top of the data that already exists there. No data migration, no middleware, no parallel system to maintain. The AI operates on the live ERP environment, which means the outputs are current and the audit trail is intact.
Next Steps from Chicago
Several attendees from the February 19th session followed up within two weeks to request a direct technical review, specifically how ChatFin would connect to their ERP environment and what the first proof of concept would measure against their own financial data.
If you are a CFO, Controller, or Finance Director at a Midwest company and want to continue the conversation, the ChatFin team offers a working session structured around your specific ERP, your current close timeline, and the highest friction problem in your finance function right now.
No fictional scenarios. No slide decks built around a company that does not look like yours. Thirty minutes against your actual data.