How Jeff Seibert Is Using AI Accounting Firm Automation to Build a 90% Automated Firm
AI is reshaping accounting, but not in the way most firms expect. In this article, Jeff Seibert explains how AI accounting firm automation and AI-native systems can automate up to 90% of bookkeeping and month-end workflows, freeing firms to focus on higher-value work. The real opportunity is not replacing accountants, but enabling firms to scale faster with better systems. Firms that adopt early will gain a significant advantage in efficiency, margins, and growth.
Key Takeaways
- AI accounting firm automation can automate up to 90% of bookkeeping and close processes
- Traditional general ledgers are limited by outdated data structures
- Most AI tools fail due to bolt-on approaches instead of built-in intelligence
- Firms adopting AI accounting firm automation gain efficiency and profitability advantages
- Automation shifts accountants from data entry to advisory work
- Systems, not tools, determine which firms scale successfully
Introduction
The accounting industry is entering a major shift.
For decades, firms have relied on traditional workflows where financial data is processed manually, reviewed in batches, and delivered weeks after the fact. But that model is starting to break down.
In a recent conversation, Jeff Seibert, co-founder and CEO of Digits and former Head of Consumer Product at Twitter, shared how AI-native systems are changing the way accounting work gets done. His perspective is not theoretical. It is based on years of building a new type of accounting platform from the ground up.
The result is a very different vision of how firms will operate in the near future.
Why Traditional Accounting Systems Are Falling Behind
One of the biggest problems Jeff identified is the gap between financial data and real-time decision-making.
While product and engineering teams operate with live dashboards and instant feedback, finance teams often wait weeks for reports.
“On the finance side, I was sitting there waiting two to three weeks for a black and white P&L.” – Jeff Seibert
This delay creates:
- Limited visibility into business performance
- Slower decision-making for clients
- Increased manual workload for accounting teams
- Frustration for both firms and business owners
The issue is not the accountants. It is the systems they rely on.
What Is an AI-Native Accounting System?
Most current tools attempt to add AI on top of existing software.
Jeff argues that approach does not go far enough.
Instead of layering automation on top, AI-native systems embed intelligence directly into the general ledger itself. This means:
- Transactions are classified using multiple layers of models
- Data is connected across systems in a meaningful way
- Reconciliation happens automatically within the platform
- Insights are generated in real time
This approach removes the need for multiple disconnected tools and reduces reliance on manual processes.
How 90% of Accounting Work Can Be Automated
One of the most striking predictions Jeff shared is how much of the accounting workflow can be automated.
By the end of 2026, he expects:
- 90% of bookkeeping to be automated
- 90% of reconciliation to be handled automatically
- 90% of schedules and workpapers to be generated by AI
- 90% of initial client reporting to be system-generated
“I think the month-end close process will be largely automated.” – Jeff Seibert
This does not mean accountants disappear. It means the nature of their work changes.
Instead of spending hours on data entry and reconciliation, firms can focus on:
- Reviewing and validating outputs
- Providing insights and recommendations
- Supporting client decision-making
Why Most AI Accounting Tools Fall Short
Not all AI tools are created equal.
Many solutions rely on large language models to classify transactions. According to Jeff, this approach has clear limitations.
- Accuracy often caps around 70%
- Systems struggle with edge cases
- Outputs require significant manual correction
Instead, more advanced systems use predictive models trained specifically for accounting workflows.
This allows for:
- Higher classification accuracy
- Better consistency across clients
- Reduced need for manual overrides
The key difference is whether AI is built into the system or simply added on top.
The Competitive Advantage of AI-Adopting Firms
As automation increases, the gap between firms will widen.
Firms that adopt AI-native systems will be able to:
- Process work faster
- Handle more clients with the same team
- Increase margins through efficiency
- Reinvest time into advisory services
Meanwhile, firms that rely on manual processes may struggle to keep up.
This creates what Jeff describes as a growing margin opportunity.
Faster firms can:
- Lower prices while maintaining profitability
- Invest more into marketing and growth
- Expand into new service lines
Over time, this shift will reshape competition across the industry.
What This Means for Scaling an Accounting Firm
The biggest takeaway is not about technology alone.
It is about systems.
As automation increases, firms need structured processes to:
- manage recurring work
- track deadlines across clients
- assign responsibilities clearly
- maintain visibility into all projects
This is where accounting workflow software becomes critical.
Without proper systems, even the best tools can create confusion instead of efficiency.
How Workflow Systems Support an AI-Driven Firm
As firms move toward automation, workflow management becomes even more important.
Structured systems allow firms to:
- Standardize processes across all clients
- Use workflow templates for accountants to ensure consistency
- Track both automated and manual tasks
- Maintain accountability across the team
Instead of reacting to work as it comes in, firms can operate with clarity and predictability.
How Jetpack Workflow Helps Firms Stay Organized
Jetpack Workflow is designed to help accounting firms manage recurring work, track deadlines, and maintain visibility across all client engagements.
With the right system in place, firms can:
- Keep all client work organized in one place
- Ensure nothing falls through the cracks
- Support team collaboration and accountability
- Scale operations without increasing chaos
As AI handles more of the execution, workflow systems ensure everything stays aligned.
Conclusion
AI is not replacing accounting firms.
It is redefining how they operate.
The firms that win will not be the ones using the most tools. They will be the ones building the best systems around those tools.
Jeff Seibert’s vision of a 90% automated firm is not about removing accountants from the process. It is about removing inefficiencies so firms can focus on higher-value work.
The opportunity is already here.
The question is whether firms are ready to act on it.
Frequently Asked Questions
What does a 90% automated accounting firm mean?
It refers to a firm where most bookkeeping, reconciliation, and reporting tasks are handled by AI systems, reducing manual work significantly.
Will AI replace accountants?
No. AI will automate repetitive tasks, allowing accountants to focus on advisory, analysis, and client relationships.
What is an AI-native accounting system?
It is a system where AI is built directly into the core platform, rather than added as a separate tool or feature.
How soon will accounting automation become mainstream?
Many experts predict major automation advancements within the next few years, especially in month-end close processes.
Why do many AI tools fail in accounting?
Because they rely on general-purpose models that lack the accuracy and structure needed for accounting workflows.
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Build a Firm That Scales with Systems, Not Stress
As automation increases, the firms that succeed will be the ones with clear workflows and structured processes. Jetpack Workflow helps you manage recurring work, standardize operations, and keep your entire team aligned as your firm grows.
Start building a system that supports your next stage of growth.