Agentic AI isn’t just another buzzword. It changes what automation can do by helping you manage outcomes, not just isolated tasks.
As a finance leader, you know automation can take work off your team's plate. But the next evolution isn't just about doing tasks faster. It's about reaching outcomes and building systems designed to get there. If you're still spending time on any of the following, that bigger picture can feel out of reach:
If you lead finance at a nonprofit, you may feel this even more acutely. Think about your annual IRS Form 990 filing. Or, if you're in professional services, think about your billing cycle. Reviewing outstanding invoices, checking client agreements and sending collection reminders can take on a life of its own. For some teams, it can turn into a months-long grind layered on top of everything else you already manage. It’s not that your team is incapable. It’s that the work can be endless, repetitive and hard to scale.
Most AI for business tools can take steps off your plate – that is, until something changes, like a new format or detail that doesn’t fit the rule.
Agentic AI is starting to change that. This kind of automation is less about running a single task and more about reaching an end-to-end outcome, with you still in control. Unlike traditional automation that follows predefined rules, agentic systems can interpret context, evaluate options and adapt workflows while staying within defined governance boundaries.
Agentic AI doesn’t run without oversight, though. It’s structured, supervised automation that works within the boundaries you set for it. But to trust it, you first need to understand what it actually is and how it differs from the tools you may already use.
The language around automation is getting noisier, and “agentic AI” is the latest term to join the conversation. But what exactly is it, and how is it different from the tools you may already use? Simply put, agentic AI is built to reach an outcome, not just run a task.
Traditional automation works best when the rules stay the same. You set them, and they repeat the same steps every time. That works well until there’s a new file format or unusual data the system wasn’t designed to handle. Then the automation may break, and your team will need to jump in to fix it.
Generative AI acts more like a thought partner. It can help you draft, summarize, brainstorm and organize information. It’s useful, but it doesn’t run a process end-to-end.
Agentic AI is the next step. Think of it as software that can understand what you’re trying to accomplish, map the steps, take actions across systems and adjust when something changes. It still follows workflows and rules, but it adds language understanding and learning to handle variation and keep moving toward the outcome. For instance, if your goal is to consolidate reporting or prepare information for review, you can design agentic AI to manage the process from start to finish, not just one piece of it.
For finance leaders, this only works if you can trust it, and that doesn’t come from technology alone. It comes from how the system is designed and governed — using clear rules, reliable data and built-in guardrails — so it operates safely, follows required policies and delivers predictable results at scale.
That is where controls come in. You want clean, standardized data mappings so the system pulls the right information. You want a full audit trail so you can see what it did and why. You want anomaly detection and human validation in the loop. For example, if the system sees three identical invoices on the same day for the same amount, it should flag them for review instead of pushing them through.
Agentic AI delivers the biggest payoff when your organization has real complexity, such as high transaction volume, multiple entities, compliance-heavy work or data spread across systems. If you regularly pull information from different places just to close the books, build reports or explain results, agentic AI may be worth a closer look.
Nonprofits are a good example. Finance can spend most of its time on reporting, compliance and data gathering, leaving only a small slice for strategic work. If you feel like you’re always in the weeds, you don’t need more hustle from your team. Instead, you need a better way to handle routine work so your staff can focus on what moves the mission ahead.
The next question isn’t “can we automate this?” It’s “what are we trying to accomplish?” You may be trying to give your team breathing room, reduce constant firefighting and stop spending so much time on exceptions. Agentic AI can help shift that work away from manual processing and toward oversight, review and better decisions. That shift starts with clear communication from leadership and transparency about what you’re doing and why.
You’ll also feel the fit when delays pile up in predictable places, such as approval latency. If invoices sit in queues, transactions get miscoded, grant reporting gets delayed and your team has to hunt through multiple sources because the data is incomplete, you lose time and confidence. Those delays create real consequences, including slower decisions, weaker cash flow forecasting, missed deadlines and – in nonprofits – missed funding opportunities.
If your main concerns are accuracy and loss of control, that doesn’t rule out agentic AI. Instead, it tells you what to ask for: clear audit trails, human review checkpoints, testing and user acceptance, and an implementation approach that’s honest about what’s realistic and what’s not. Many organizations also start with readiness work, like data loss prevention policies and properly permissioned SharePoint sites, before they turn anything on.
If you’re thinking about where to start, you don’t need a comprehensive transformation plan. Start with one problem that shows up frequently and steals time from your team, such as work that is high volume, repetitive and full of exceptions. Transaction coding is a good example. Instead of relying on rigid rules and then cleaning up the mess later, an agent can learn patterns in your transactions and vendors, suggest coding based on prior behavior and flag unusual spending so you can focus on what actually needs review.
Take a professional services firm, for example. If you spend days chasing time entry, fixing coding issues, resolving invoice questions and managing write-offs, start with billing and revenue workflows. Agentic AI can help flag missing or unusual time, route exceptions for review and assemble a cleaner billing package faster.
Organization-wide use of AI in professional services has almost doubled to 40% in 2026 compared to 22% in 2025 according to Thomson Reuters. In 2026, an estimated 15% of these organizations have adopted some type of agentic AI and another 53% are actively planning for or considering agentic AI tools.
Reconciliations are another area of focus for agentic AI. When your team has to normalize statements, enter data and track down discrepancies, the work becomes draining. In one nonprofit foundation we advised, automating investment statement reconciliation delivered meaningful time savings, and the finance leader said they had never seen their accounting manager so happy at work.
Accounts payable can also make an impact because the results are easy to measure. In a school we worked with, we implemented an end-to-end AP solution that handled about 97% of invoices without manual touch. The team stepped in only for exceptions, and the time spent per invoice dropped from roughly 30 minutes plus approval delay to less than five minutes for the invoices they actually had to review.
As you pilot, keep your expectations grounded. Your goal isn’t to automate everything. It’s to free up time and reduce friction so you can move faster with better information.
For a family office, a practical goal is freeing up time for initiative work. When routine finance tasks stop consuming your week, you can spend more time evaluating opportunities, like a potential move into real estate, that align with the family’s priorities.
Using Sage Intacct cloud accounting software, our AI and automation experts have helped leading family offices cut month-end close cycles by 15-20 hours per month with automated reporting. Tax digital workers are able to produce hundreds of return packages in under an hour, speeding up compliance.
If reporting requests feel like a scavenger hunt across systems, you know the cost: delays, rework and surprises when the data isn’t clean. When the process runs more smoothly, you get more timely reporting, faster close cycles and better visibility into budget and spend. That visibility can help you make decisions with less guesswork.
Start small, prove value, then expand. That’s how to get the benefits without buying into the hype.
Agentic AI isn’t about replacing people. It’s about helping your team spend less time on repetitive processing and more time on the work that moves the organization forward. If delays, manual cleanup and fragmented data are slowing reporting and decision-making, it may be time to take a closer look at what agentic AI can do. Learn how Armanino’s AI Consulting Services team helps organizations evaluate fit, start small and scale adoption with the right governance in place.
Unlock the benefits of total visibility and streamlined workflows. Contact our Sage Intacct experts today to learn how to start driving innovation for your organization.
