For energy companies, navigating the complex world of FERC reporting is a critical, yet often daunting, task. The question of how to best manage this process—whether through dedicated software or expert consulting services—is a major decision that impacts efficiency, accuracy, and cost. While both options have their merits, a closer look reveals that the right choice often depends on a company’s specific needs and a clear understanding of the evolving regulatory landscape.
The Rise of Technology: The Case for FERC Reporting Software
The days of manual data entry, endless spreadsheets, and the risk of human error are becoming a thing of the past. Recent industry news, such as the increased focus on digital submissions and data transparency, highlights the growing importance of technology in regulatory compliance. This is where dedicated FERC reporting software shines.
Advantages of Software:
- Automation and Efficiency: Software like IRIS CARBON® automates key reporting tasks, including XBRL tagging, data validation, and roll-forwards. This eliminates the tedious, time-consuming process of manual data entry and reduces the risk of errors. Imagine saving countless hours each quarter by simply letting the platform handle the heavy lifting.
- Accuracy and Data Integrity: With built-in validation rules and checks, reporting software ensures that your filings are accurate and compliant with the latest FERC taxonomy. This is crucial for avoiding costly penalties and an audit-ready trail.
Automation in finance is no longer just about saving costs – it’s about transforming your finance function into a strategic powerhouse. In the first episode of RegTech Talks, a webinar series by IRIS CARBON, Aakanksha Swaminathan and Medha Ganti spoke about why automation shouldn’t be conflated with AI and how the former plays a pivotal role in the world of financial reporting that runs on compliance, cost savings and correctness.
This blog is a breakdown of the webinar hosted on 11 September 2025, and in case you missed joining us live, read on to discover:
- How to embrace automation strategically through small, trust-building steps
- The real difference between automation and AI
- The areas where automation can come handy in finance
- Why most AI projects stall
- How to define an order of priority to implement automation in your business
From Manual Cars to Self-Driving Finance: The Journey of Automation
Consider this: You’ve been driving a manual car all your life.
The arch of the steering set in a mishmash of deep-seated analog meters that makes you feel in control, the gear stick that has the thrum of the engine, and the slow release of the clutch pedal that sets the car in motion. You’re used to these mechanics – the push, the release, the roar. You can probably do this in your sleep – not that you should. But that’s the power of muscle memory – it feels effortless.
But overnight, you take the leap of faith and switch to a fully automatic car. No preparation, no training, a completely impulsive upgrade – and just like that, you find yourself at the driver’s seat sans everything you associated driving with. The steering, clutch, and gear – all gone. Replaced by wide touchscreen panels, swanky buttons, and a sunroof so wide you’d wonder if the car’s roof is missing.
Embracing automation, too, can feel just as overwhelming for finance teams, especially when they’re not ready for that transition. Jumping straight from spreadsheets to AI-powered digital twins is a recipe for failure. The smarter approach is incremental: automating high-friction tasks first, building adoption, and scaling up once trust is established.
“Don’t aim for a giant leap, aim for steady, trust-building steps.”
Aakanksha Swaminathan
Functional Expert – IRIS CARBON®
Automation vs AI: Execution vs Intelligence
Automation and AI are often lumped together, but they’re not the same. Automation is all about rules and setting a logic, and the system executes it consistently every time. AI and machine learning, on the other hand, don’t just execute; they learn. They recognize patterns in data, adapt with experience, and make complex decisions. We drew a clear line between the two:
| Automation = ExecutionIt follows rules and gets repeatable tasks right every time (OCR invoice capture, PO matching, reconciliations). | AI = IntelligenceIt learns from patterns, reasons with data, and makes predictions (fraud detection, churn forecasting, anomaly spotting). |
The question finance leaders need to ask isn’t “Should we use AI?” but “Do we need efficiency, or do we need intelligence?”
Medha Ganti
Functional Expert – IRIS CARBON®
High-Impact Areas for Finance Automation
Not all finance processes are equal candidates for automation. But some areas consume so much time and effort that the payoff is impossible to ignore.
Take Accounts Payable (AP). Finance teams lose the equivalent of 65 working days a year on AP tasks alone. Even more concerning, nearly one in three finance leaders say AP directly slows down business growth. That’s not just inefficiency; it’s a drain on strategy, innovation, and the team’s ability to focus on what really drives value. Automating high-friction processes like AP isn’t about cutting costs; it’s about reclaiming time for smarter decisions.
Where Finance Is Losing Time and Focus
| Accounts Payable:72% of finance teams spend the equivalent of 520 hours per year on AP tasks. Nearly a third admit AP slows down growth. | Accounts Receivable: 67% of staff still manually key invoices into ERPs; most invoices are paid late. | Forecasting: 80% of teams take three days or more to produce a forecast. | Reporting: 2,100+ hours go into an annual report every year. Even a quarterly one eats up to 180 hours. |
We urged finance leaders to see these pain points not just as inefficiencies, but as missed opportunities. What would your team do if they got even half that time back? More analysis? Better scenario planning? Or simply more room to think strategically?
Turning Constraints into Catalysts
Finance teams often stall because automation feels overwhelming. IRIS CARBON®’s webinar introduced a scoring model to evaluate initiatives by both value drivers (time saved, error reduction, cost impact, strategic value, scalability) and implementation constraints (integration complexity, change management, user adoption).
This structured approach helps teams prioritize initiatives that deliver the fastest, most strategic wins.
Why 95% of AI Projects Fail
We didn’t sugarcoat the challenges. Most AI pilots never scale. And the reasons have little to do with technology:
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- Lack of user involvement: Adoption fails if the people closest to the work aren’t part of the design and rollout.
- Unclean data: Without reliable inputs, even the smartest AI produces poor outcomes.
- Overambition: Trying to automate everything at once almost always derails progress.
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Involve the people who do the work every step of the way, prioritize clean data, and scale gradually.
Aakanksha Swaminathan
Functional Expert – IRIS CARBON®
From Manual to Digital Twin: Where Are You on the Journey?
The automation journey mirrors the shift from driving a manual car to trusting a fully autonomous one:
- Driver Only (Manual): Spreadsheets, manual reconciliations, endless data prep.
- Assisted Driving: Basic workflow automation, report distribution, reminders.
- Partially Automated: Predictive forecasting, rolling models.
- Highly Automated: AI-driven recommendations, natural language queries, automated disclosure-ready reports.
- Fully Automated (Digital Twin): A connected model of your business enabling real-time what-if analysis and scenario planning.
The goal is to progress steadily, building confidence and capability along the way.
The Big Picture
Finance isn’t just a back-office function anymore. It sits at the crossroads of compliance, strategy, and business growth. And in this role, automation is essential.
As Aakanksha Swaminathan put it: “Automation in finance is not just about a tool. It is a strategic pillar for transformation.”
The challenge for finance leaders is to treat automation not as an IT upgrade, but as a CFO priority. Done right, automation frees finance from recording the past to actively shaping the future.
- Cost-Effectiveness: While consulting fees can be high, software offers a more predictable and often lower-cost model, especially for companies with a high volume of filings. The automation and efficiency gains can lead to significant savings on labor costs over time.
- Control and Transparency: A software solution provides your team with direct control over the entire reporting process. You have real-time visibility into the status of filings, data changes, and the ability to collaborate in a single, secure environment.
- Scalability: As your business grows and your reporting needs become more complex, a robust software platform can scale with you. It can handle increasing data volumes and new regulatory requirements without the need for a significant increase in headcount.
The Human Touch: The Case for Consulting Services
Consulting services offer a different approach, providing a team of human experts to handle your FERC reporting needs.
Advantages of Consulting:
- Expert Guidance: Consultants offer specialized knowledge and a deep understanding of complex or niche regulations. They can be invaluable for companies facing unique challenges, such as a major merger, a new project, or a FERC audit.
- Reduced Internal Burden: For companies with limited internal resources, outsourcing the entire reporting function to consultants can be a great option. It frees up your team to focus on core business activities.
- Strategic Advice: Beyond just filing, consultants can provide strategic advice on how to optimize your reporting processes, manage risk, and navigate complex regulatory changes.
The Best of Both Worlds: The Future of FERC Reporting
The choice between software and consulting doesn’t have to be an all-or-nothing decision. The most effective approach for many companies is a hybrid model, leveraging the power of technology while supplementing it with expert guidance as needed. This is the sweet spot where the efficiency of software meets the expertise of human professionals.
For example, a company might use IRIS CARBON® for its day-to-day FERC reporting, taking advantage of its automated roll-forwards, data validation, and streamlined workflow. Then, if a new, complex regulation is introduced or an audit is announced, they can engage a consultant for specialized advice without disrupting their established software-driven process. This approach is becoming more common as technology evolves. FERC is embracing digital transformation, and so are companies like yours. The right path forward is often one that combines the best of both worlds, setting you up for success now and in the future.
