use case

Power of Attorney Document Processing Automation

Business Challenge

Processing Power of Attorney (POA) documents is one of the most complex and error-prone administrative tasks in wealth management. These documents differ across jurisdictions, contain dense legal language, and require multiple layers of verification to ensure compliance and fiduciary integrity.

Additional challenges included:

Daily receipt of between 1,000- 1,500 POA submissions from clients, attorneys, and advisors in a wide range of formats (PDFs, scans, handwritten forms).
Manual review by operations and compliance teams to confirm signatures, notarization, completeness, and state-specific legal requirements.
High variability between state requirements, powers granted, and signing conventions leading to inconsistent reviews and processing delays.
Compliance risk from incorrectly processed or expired POAs that could lead to unauthorized transactions, financial and regulatory exposure.

Case Study Video

Fisent BizAI Solution

Fisent BizAI, an Applied GenAI Process Automation solution, was introduced into the firm’s POA workflow to automate document triage, reconciliation, validation, and structured data extraction. Fisent-enabled AI capabilities have since become a core component of the operating process.

Key implementation elements:

BizAI ingests and classifies POA documents, automatically determining whether they are in “good order” by checking for required signatures, notary seals, completeness, and legibility.

Cross-checks principal and agent names against client records to ensure consistency and detect potential mismatches or fraud.

Applies state-specific rules and interpretive models to identify and extract the powers granted (e.g., buy/sell authority, gifting, delegation, arbitration).

BizAI evaluates every POA against all applicable state-specific legal and authorization requirements — ensuring consistent, compliant decisions at scale.

Evaluates notarization requirements and the document’s conformance with jurisdictional standards before passing data downstream.

Extracted information is returned as structured data to the firm’s account management and workflow systems, enabling faster, auditable decisioning.

Business Outcomes

KPI's

Before Automation

With BizAI

Monthly POA Workload

Labour-intensive manual processing with scalability constraints

~12,000 - 15,000 cases supported per month

Average Cycle Time

5-6 days

70% Reduction in cycle time

Operator Productivity

~50 POA packages/per day

+ 33% per operator/per day

Data Accuracy

Manual Triage, Reconciliation and Business Rule Review

Triage 99%+ AI Accuracy, Reconciliation 95->100% AI Accuracy

Straight-Through Processing Capability

n/a

~67% of all AI-eligible cases, 50%+ of ALL cases

Risk and Compliance

Reactive and Manual

Real-time detection and routing

Key Benefits

Improved Compliance: Automatic validation against state-specific requirements significantly reduces regulatory and fiduciary risk.

Operational Efficiency: POA processing time reduced by over 70%, freeing staff for higher-value client and advisory work.

Data Reliability: Structured, validated output improves the accuracy of downstream account management systems.

Scalability: BizAI’s adaptable model handles continuous volume growth without additional headcount.

Transparency: Every automated decision is logged and explainable, ensuring audit readiness.

Conclusion

By deploying Fisent BizAI, this leading wealth management firm transformed a high-risk, labor-intensive compliance process into an automated, auditable workflow.

BizAI’s Applied GenAI capabilities not only achieved over 95% accuracy in POA validation and data extraction but also created a scalable foundation for automating other document-driven processes such as account opening, trust documentation, and beneficiary updates.

From Bottlenecks to Business Outcomes

BizAI Automates Human-Dependent Tasks

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