Filed

TL;DR

AI Tax Preparer: Automates client data extraction, preparation, and review for tax returns.
Boosts Efficiency: Enables firms to process up to 3x more returns by reducing manual effort and prep time.
Ideal for CPAs: Designed specifically for accounting and CPA firms to scale capacity and streamline workflows.

What is Filed

Filed is an AI-powered tax preparation platform designed for accounting and CPA firms. It solves the core problem of manual, time-consuming tax preparation by automating the entire workflow, from client data extraction to generating review-ready returns. The tool functions as an AI tax preparer, accurately extracting and organizing data from client uploads, applying the firm's specific logic and templates, and integrating with existing tax software. This allows tax professionals to significantly increase their capacity, reduce preparation time, and focus on high-value review and advisory services instead of manual data entry.

Key Features

Automated Data Extraction: The AI accurately and securely extracts client data from uploaded documents, turning raw information into structured, review-ready returns and eliminating manual entry.
Firm-Specific Logic Application: Filed learns your firm's unique workflows, applying your specific preferences, templates, and prior-year logic to prepare returns with speed and consistency.
Integrated Review & Validation: The platform includes built-in checks that apply review logic, automatically flag anomalies, and surface important items, allowing your team to focus on final review rather than manual checks.
Seamless Software Integration: Filed is designed to work within your existing technology stack, delivering completed returns directly into your current tax software without disrupting established processes.
Enterprise-Grade Security: With SOC2 compliance, 7216 compliance, and regular penetration testing, Filed ensures that sensitive client tax data is protected with robust, industry-standard security measures.
Collaborative Workflows: The platform supports clean handoffs and multi-role workflows with role-based permissions, facilitating secure collaboration between in-house and offshore teams.

Who is Filed for?

CPA Firms: Firms of all sizes looking to automate tax preparation and increase efficiency during tax season.
High-Volume Tax Preparers: Professionals or firms that handle a large number of returns (e.g., over 2,000 a year) and need to scale their capacity.
Accounting Teams with Offshore Staff: Firms that utilize offshore teams can use Filed to standardize processes and maintain control over quality.
Managing Partners: Firm leaders aiming to reduce manual labor, cut down on staffing costs, and focus their teams on higher-value advisory services.

Key Use Cases & Applications

Scaling Tax Season Capacity: Process a significantly higher volume of tax returns during peak seasons without hiring additional temporary staff.
Automating Repetitive Data Entry: Eliminate the manual task of typing in data from W-2s and other client documents, freeing up preparers for more complex work.
Standardizing Preparation Quality: Apply consistent firm-wide rules, templates, and logic to every return, improving accuracy and reducing errors.
Streamlining Offshore Collaboration: Provide offshore teams with a secure, integrated platform that maintains firm standards and control over the final product.
Reducing Senior Reviewer Burden: Allow senior staff and CPAs to move from re-doing returns to true reviewing, focusing on anomalies flagged by the AI and complex advisory tasks.

Pros

Drastically Reduces Prep Time: Firms report processing up to 3x more returns without adding staff.
Learns Firm Preferences: The AI adapts to your firm's specific logic, templates, and prior-year data, improving with each season.
Seamless Integration: Works directly with existing tax software stacks, minimizing workflow disruption.
High Security Standards: SOC2 and 7216 compliant, ensuring sensitive client data is protected without extra paperwork.
Built-in Review Checks: Automatically flags anomalies and potential errors, streamlining the senior review process.

Cons

Opaque Pricing: Pricing details are not available on the website, requiring potential customers to contact the company for a quote.
Early Access Program: Full access is currently limited to a 'Design Partner program,' which may indicate the product is still in a developmental phase and not yet generally available.
Potential Onboarding Time: Integrating the system and training it on a firm's specific logic and preferences may require an initial time investment from the team.

Pricing Info

Pricing is not publicly available, You need to contact them.

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FAQs

How does Filed handle unique or complex tax situations?

Filed is designed to learn and apply your firm's specific logic and templates. For anomalies or unrecognized situations, it flags the issue for human review, ensuring a professional is always in control of complex cases.

Is my firm's client data used to train AI models for other customers?

No. According to its security policy, Filed offers 'zero training on your data.' The platform is SOC2 compliant, ensuring your sensitive client information is kept private and secure.

What tax software does Filed integrate with?

The website states that Filed integrates with your existing workflow and delivers returns directly into your tax software. While specific names are not listed, it is designed to work with standard professional tax software.

How does Filed ensure the accuracy of the data it processes?

Filed uses advanced AI for data extraction and has built-in validation checks to flag potential errors and anomalies. The system is continuously audited by human CPAs to improve performance, with the final review always conducted by a human professional to ensure accuracy.

What does being part of the 'Design Partner program' entail?

The Design Partner program allows firms to get early access to Filed. This typically involves working closely with the Filed team to provide feedback and help shape the product's development, while benefiting from its AI capabilities before a wider public launch.

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