The AI Agent That Can Do a Partnership Tax Return — What Accountants Need to Know
Accounting startup Basis AI recently claimed their AI agent can autonomously complete partnership tax returns - a complex task that typically requires hours of staff accountant work. As firms grapple with talent shortages and margin pressures, this technology could reshape tax workflows. We analyze what's real versus hype.
Basis AI's Partnership Tax Return Claim
Accounting firms have struggled with staffing shortages and rising labor costs for years, particularly for complex tax work like partnership returns. Basis AI's recent $100 million funding round at a $1.15 billion valuation included a bold claim: their AI agent can autonomously complete partnership tax returns.
While TurboTax and similar programs have automated simple 1040 returns for years, partnership returns present unique challenges. They require balancing sheets, handling partner capital accounts, making basis calculations, and properly allocating income - tasks that typically require trained staff accountants.
Key differentiator: Basis focuses on "long horizon agents" that can run complex accounting workflows for hours or days, unlike simpler AI tools that handle discrete tasks. Their system uses OpenAI's models combined with proprietary accounting-specific training.
Impact on Accounting Firms
The potential productivity gains are staggering. Partnership returns that currently take staff accountants 8-12 hours could theoretically be reduced to manager review time only. Firms facing talent shortages might see this as a solution to scaling without proportional hiring.
However, the human element remains critical. As one industry commentator noted: "Doing a partnership tax return and doing one professionally and successfully are different claims." AI may handle routine calculations, but complex ownership structures, unusual transactions, and judgment calls will still require experienced professionals.
Staffing implications: Entry-level positions focused on basic return preparation are most at risk. Firms will increasingly value managers who can effectively supervise AI outputs and handle client relationships.
Implementation Challenges
While the technology appears promising, real-world implementation presents hurdles. Basis's website offers few details about how their system handles edge cases or integrates with existing firm workflows. The lack of public demos or case studies raises questions about current capabilities.
Adoption challenges include:
- Data quality requirements (clean client records and historical data)
- Workflow redesign to incorporate AI outputs
- Staff training on supervising and correcting AI work
- Professional liability considerations
As with any new technology, early adopters may face productivity dips during implementation before realizing the promised efficiency gains.
Current Industry Adoption
Basis claims adoption by 30% of top 25 accounting firms and 20% of top 150 firms, though "using" versus full implementation varies widely. Other players like Intuit are also investing heavily in AI tax agents, with partnerships announced with both OpenAI and Anthropic.
A Contana survey found 87% of professional services firms plan to manage AI agents as part of their workforce, with 89% of leaders believing future growth depends more on scaling AI than headcount. However, integrating AI into delivery workflows remains the biggest challenge.
Adoption curve: Early use cases focus on repetitive, rules-based tasks before tackling more complex work like partnership returns. Firms are proceeding cautiously given the high-stakes nature of tax work.
Future Outlook for Tax AI
The accounting profession stands at an inflection point. AI capabilities are doubling every seven months, and tools that seemed futuristic just a year ago are now entering practice. Partnership tax returns represent just one frontier - similar advances are occurring in audit, financial reporting, and advisory services.
Forward-looking firms should:
- Develop AI supervision competencies among managers
- Evaluate workflow redesign opportunities
- Consider new service offerings enabled by productivity gains
- Monitor the evolving regulatory landscape for AI-prepared returns
The firms that thrive will be those that view AI as augmentation rather than replacement - leveraging technology to enhance professional judgment rather than seeking to eliminate it.
Watch the Full Tutorial
For deeper analysis of Basis AI's claims and their implications for accounting firms, watch the full discussion from The Accounting Podcast (timestamp 12:45 for the Basis segment).
Key Takeaways
AI's entry into complex tax preparation marks a significant shift for the accounting profession. While full automation of partnership returns remains aspirational, the technology is advancing rapidly. Firms that strategically adopt these tools while maintaining appropriate oversight will gain competitive advantages.
In summary: Basis AI's claims, if validated, could reshape tax workflows but won't eliminate the need for experienced professionals. The future belongs to firms that combine AI efficiency with human expertise.
Frequently Asked Questions
Common questions about this topic
While Basis AI claims their agent can autonomously complete partnership tax returns, the complexity of partnership returns (with balance sheet tie-outs, basis calculations, and partner allocations) makes this a significant claim.
Current AI systems can handle simpler 1040 returns effectively, but partnership returns require more nuanced understanding. The technology appears promising but still requires human review for accuracy.
- AI excels at rules-based calculations and data entry
- Complex judgments still require professional oversight
- Error rates decrease as systems learn from corrections
According to a Contana survey, 87% of professional services firms plan to manage AI agents as part of their workforce.
Among accounting firms specifically, Basis claims adoption by 30% of top 25 firms and 20% of top 150 firms. However, "using" versus fully implementing are different - many firms may be testing the technology cautiously before full deployment.
- Larger firms lead in adoption due to resources
- Smaller firms often wait for proven solutions
- Adoption accelerating as talent shortages persist
AI is shifting job roles rather than eliminating them entirely. Entry-level positions focused on data entry and basic return preparation are most at risk.
However, experienced professionals who can review AI outputs, manage client relationships, and provide strategic advice remain in high demand. Firms are increasingly valuing professionals who can effectively leverage AI tools.
- Staff accountant roles evolving toward oversight
- New positions emerging in AI workflow design
- Client advisory services becoming more important
Currently, most AI tax preparation systems operate under human supervision. The IRS requires a human preparer to sign returns.
Basis and similar systems position themselves as tools for accountants rather than replacements. Firms should implement review protocols, maintain professional liability insurance, and ensure staff are trained to spot potential AI errors.
- Multi-layer review processes recommended
- Documentation of AI use in workpapers
- Continuous monitoring of accuracy rates
Time savings vary by task complexity. Simple 1040 returns might see 50-70% time reduction. More complex returns like partnerships may see 30-50% time savings initially.
Intuit claims some agents save 12-18 hours weekly, though these numbers may be optimistic. Real-world savings depend on workflow integration and review processes.
- Greatest savings on repetitive, rules-based tasks
- Complex returns show more modest improvements
- Implementation quality affects realized benefits
Basis pricing isn't publicly available, but similar AI accounting tools range from $50-$300 per user monthly.
Implementation costs include training, workflow adjustments, and potential productivity dips during transition. Firms should evaluate ROI based on time savings and ability to handle more clients with existing staff.
- Subscription fees plus implementation costs
- Potential for volume discounts at larger firms
- ROI typically 6-18 months for midsize firms
Basis calculations are among the most complex aspects of partnership returns. Basis AI claims their system can track partner capital accounts and handle basis adjustments automatically.
However, these calculations require accurate historical data input and may still need human verification, especially for complex ownership structures or unusual transactions.
- AI excels at consistent application of rules
- Historical data quality critical for accuracy
- Complex scenarios still require professional judgment
GrowwStacks helps accounting firms implement AI automation workflows tailored to their practice. Whether you need to integrate Basis AI with your existing systems, build custom review protocols, or automate other accounting processes, our team can design and deploy solutions that fit your firm's needs.
We offer free consultations to discuss your specific automation goals and implementation roadmap. Our experts will analyze your current workflows, identify the highest-impact automation opportunities, and develop a phased implementation plan.
- Free 30-minute consultation to assess your needs
- Custom workflow design for your firm's unique requirements
- Ongoing support and optimization after implementation
Ready to Explore AI Automation for Your Accounting Firm?
Every day you delay automation is another day of lost productivity and missed opportunities. GrowwStacks can have your firm implementing AI tax workflows within weeks - not months.