AI in Finance Steadies the System
I still remember teaching my kids to ride a bicycle. The first few tries were clumsy. They wobbled, they overcorrected, and sometimes they fell.
However, I didn’t just stand aside and let them figure it out entirely on their own. I held on, steadied the frame, and gave them cues. Over time, they internalized balance.
AI in finance is that stabilizer. It doesn’t replace the rider, but it helps steady the system until confidence builds.
The challenge is that not everyone has someone holding the handlebars. Many finance teams are trying to adapt to AI in finance without the guidance or support they need. The right partnership can make all the difference.
As someone who has spent decades helping companies implement ERP systems, I see AI playing that exact role for finance leaders today.
The Case for Now
We’ve all seen the headlines, but the adoption numbers are telling their own story.
According to the Stanford HAI 2025 AI Index Report, 78% of organizations reported using AI in 2024, up from 55% the prior year (Stanford HAI).
A Gartner poll from January 2024 found that nearly two-thirds of organizations are using generative AI across multiple business units, with 40% deploying it in three or more (Gartner).
That tells me this isn’t hype anymore, it’s reality.
For finance leaders, this isn’t just noise. It means artificial intelligence in accounting has moved from pilot projects to operational reality. The companies that adapt now will set the pace for the future. Those who wait risk being defined by lagging close cycles, outdated reporting, and missed opportunities.
Yet many Business Central, NAV, and GP users say they are not getting the support they need to keep up. As AI continues to advance, guidance becomes just as important as the technology itself.
How is AI Being Used in Finance and Accounting?
Automation with Intelligence
I’ve watched finance teams spend countless hours reconciling bank statements, coding invoices, and matching payments.
This scenario is a perfect example of how AI has been used in finance already. AI takes on this work with intelligence: learning patterns, flagging anomalies, and freeing staff for strategy and analysis.
But automation alone is not enough. It takes people and processes aligned around clear financial goals to realize real value from AI.
Forecasting Strategy
ERP used to be backward-looking: close the books, then report what had already happened.
Now we see AI in financial forecasting flipping the script: forecasting cash flow under multiple scenarios, highlighting liquidity risks before they become crises, and modeling the impact of delayed receivables.
Finance shifts from being historians to strategists.
With Copilot in Dynamics 365, CFOs can ask: “What are the top three risks to cash flow next quarter?” and instantly see modeled scenarios based on receivables, vendor history, and seasonal demand.
Numbers with Narratives
One of the most powerful shifts I’ve seen is the use of AI in accounting and finance, which explains the story behind the numbers. For example: “Gross margin dipped 120 basis points because material costs from supplier X rose 8%.”
That level of clarity builds trust with boards, investors, and executives who don’t live in spreadsheets.
And Inside Dynamics 365, Copilot doesn’t just report numbers; it generates plain-language explanations that finance leaders can drop directly into board decks or investor updates.
Scale and Adaptability
Growth, acquisitions, and new regulations constantly stress finance systems.
With Microsoft Dynamics 365 Business Central and Finance, Copilot (AI) adapts to your needs. Models refine themselves, workflows flex, and new data integrates faster than legacy customizations ever could.
The Orchestra Conductor
I like to picture a finance team as an orchestra. ERP is the sheet music guiding each section.
Without AI, the conductor is constantly fixing mistakes mid-performance.
With AI, it’s like having an assistant that anticipates missteps, nudges sections quietly, and ensures harmony.
The conductor can finally focus on elevating performance instead of firefighting.
What Finance Leaders Risk by Waiting
Delaying AI adoption in ERP creates real business costs:
- Operational drag: Competitors close faster and redeploy resources more quickly.
- Decision lag: You’ll still know what happened, but won’t anticipate what’s next.
- Data roadblocks: Legacy silos hinder future AI adoption.
I remind clients all the time: you’re not competing with last year’s tools. You’re competing with finance teams already powered by AI.
And while every organization moves at its own pace, those with trusted guidance can navigate change more confidently and realize benefits sooner.
GPS vs. Paper Map
Navigating a city with a paper map works until new highways open or traffic reroutes you. By then, you’re stuck.
AI-enhanced ERP is GPS with live updates. It recalculates instantly, reroutes around risks, and shows the fastest path forward.
Finance leaders who rely only on static reports will always be a step behind those who lean on AI’s recalculating engine.
What Are the Risks of Using AI in Financial Decision Making?
I’ve been in this industry long enough to know that every new technology comes with risks.
AI in finance is no different. It can unlock massive efficiency and insight, but only if you get governance and adoption right.
Here’s how I break it down for clients:
| Risk | Impact | Mitigation Strategy |
| Data Quality & Bias | Flawed forecasts and perpetuation of historical bias (e.g., vendor selection). | Establish data governance, maintain clean master data, and regularly audit models. |
| Over-Reliance on Predictions | Blind trust in AI leads to poor decisions; AI cannot predict black swan events. | Keep humans in the loop, validate outputs, and use AI as decision support, not decision replacement. |
| Transparency & Explainability | AI “black box” undermines compliance and audit readiness. | Use explainable AI, document assumptions, and embed Copilot narratives into ERP workflows. |
| Regulatory & Compliance Risks | Automated approvals/payments may conflict with laws and result in incomplete audit trails. | Align AI with GAAP/IFRS standards; maintain audit logs; and involve compliance teams early. |
| Cybersecurity & Manipulation | Expanded attack surface; fraud at machine speed if compromised. | Apply zero-trust security, segregate duties, and monitor AI-driven processes. |
| Change Management & Workforce Impact | Employees may resist AI or over-trust it, undermining adoption. | Provide training, position AI as an assistant, and enforce review policies. |
| Cost & ROI Risks | Without KPIs, AI may become a shiny object with little measurable value. | Define KPIs (e.g., close cycle time, DSO reduction); pilot them before scaling. |
Bottom line: AI success in finance isn’t automatic. It depends on discipline in data, governance, compliance, and adoption.
Gartner’s 2024 AI Survey reveals that 57% of CIOs are personally tasked with leading AI strategy, but the pace matters. Ambition without readiness can stall adoption.
Will AI Replace Financial Analysts in the Future?
This is the question I get most often. My answer is no, but it will replace parts of what they do.
1. What AI Can Replace
AI is already taking over repetitive, rules-based tasks that historically consumed analysts’ time:
- Data collection, cleansing, and reconciliation
- Routine variance analysis (e.g., flagging expense anomalies)
- Automated reporting and dashboards
- AI in financial forecasting based on historical data patterns
2. What AI Cannot Replace
Financial analysis is not just about crunching numbers. Analysts bring human skills that AI lacks:
- Judgment & Context: AI can’t understand regulatory nuance, market sentiment, or company politics.
- Storytelling: Turning data into a narrative for executives and boards.
- Strategic Thinking: Evaluating “what-if” scenarios beyond past data (mergers, new markets, black swan events).
- Ethics & Trust: Finance decisions often involve fairness and reputational considerations that can’t be automated.
3. Future of the Role: Augmentation, Not Replacement
- Analysts will spend less time preparing data and more time interpreting it.
- With Copilot in Microsoft Dynamics 365, I can ask:
- “What’s driving margin erosion in the Midwest region?”
- “If we delay supplier payments by 15 days, how does cash flow change?”
AI provides answers in seconds, freeing analysts to challenge assumptions, validate results, and inform strategy.
4. The Competitive Advantage
Companies that use AI as an assistant, not a replacement, will:
- Close books faster
- Make real-time decisions
- Elevate analysts to advisors
Those who try to replace analysts outright risk compliance gaps, blind spots, and poor executive decisions.
The future of AI in finance isn’t about replacement; it’s about elevation. AI will transform analysts into strategic advisors who shape the future of the business rather than just reporting on its past.
Expanding Finance’s Reach
In my experience, the benefits of AI in finance go well beyond the monthly close. AI strengthens areas like:
- Audit and Compliance: Automates audit trails and flags suspicious transactions.
- Fraud Prevention: Detects anomalies humans might miss.
- Treasury and Liquidity: Optimizes cash investment and monitors interest rate changes.
- Scenario Modeling: Runs hundreds of “what if” cases in minutes.
The impact goes well beyond efficiency. AI expands finances’ influence across the enterprise
Here’s how to begin introducing AI in accounting and finance into your workflow:
A Four-Phase Roadmap
- Foundation and Clean Data
Audit master data, unify ledgers, and establish governance. - Pilot Smart Automations
Start with invoice auto-coding, reconciliation, and anomaly detection. - Add Predictive and Narrative Layers
Introduce AI in financial forecasting and financial commentary generation.
With Microsoft Copilot, finance leaders can ask: ‘What drove margin variance last quarter?’ and receive narrative context alongside the numbers.
- Expand and Iterate
Move into scenario planning, anomaly triage, and AI-assisted journal entries.
The Human and Machine Equation
Here’s the truth: AI doesn’t replace judgment. It augments it. As finance leaders, we still set strategy, weigh context, and exercise judgment on risk.
AI removes the grunt work, freeing professionals to focus on foresight.
I like to think of finance professionals as navigators. AI is the radar that reveals hidden currents and storm fronts. We still steer the ship, but with clearer visibility.
Future Outlook: Beyond 2025
By 2026, embedded AI will be standard in most enterprise software. Finance leaders will expect ERP to provide predictive insights by default.
In Dynamics 365 Business Central and Finance, what begins as automating reconciliation will evolve into real-time financial health dashboards, continuous audit capabilities, and intelligent agents that automatically handle intercompany eliminations and consolidations.
In time, finance won’t ask, “How do I implement AI in ERP?” The question will be, “How do I lead with AI-powered finance as the norm?”
Final Word
I’ve spent my career helping companies implement and scale their ERP systems. Finance is evolving from ledger keepers to insight generators, and AI is the catalyst.
If your team is still reconciling manually or drafting commentary line by line, ask yourself: Will this scale? Can we respond faster next quarter?
AI in Microsoft Dynamics 365 Business Central provides foresight, consistency, agility, and clarity. It’s not a future nice-to-have; it’s the expectation now.
That is why having the right partner matters. At Oztera, we take a white-glove approach to helping finance teams adapt to change with confidence and purpose.
And just like teaching a child to ride a bike, the hardest part is starting. Once the stabilizer is in place, balance comes quickly.
AI in finance is that stabilizer. It doesn’t take over the ride but helps steady the handlebars until leaders are ready to pedal forward with speed and confidence.
The technology will keep evolving, but with the right support, finance leaders can stay balanced and move ahead on their own terms.
Don’t wait for competitors to define what’s possible. Begin your AI in finance journey in ERP finance today and lead from the front.
Read a related blog: AI Is Moving Fast—Catch Up with Dynamics Business Central.
About Mike Stallmann
Meet Mike Stallmann, Director of Product and Business Development, Co-founder at Oztera, and the original “Chief Geek Juggler.” With decades of ERP innovation under his belt and over 200 successful deployments, Mike’s involvement with business technology is extensive.
From wineries to agriculture and beyond, Mike and Oztera specialize in solving complex, industry-specific challenges. If you’re looking to leverage technology for growth and efficiency, our experience is your secret weapon.
For insights and actionable advice, connect with Mike on LinkedIn and discover what tech-driven business transformation looks like.