Power of Attorney
After struggling with low automation accuracy and heavy manual review in loan applications, this leading European bank used Maisa to revolutionize intelligent document processing and boost customer satisfaction.
40,000
hours
recovered each year
Minutes
instead of hours
verification completed
1.2M
euros
saved after deployment in one region
Industry
Banking & Financial Services
Department
Banking & Financial Services, Retail & Commercial
The Challenge
Power of Attorney verification is one of the most critical and labor-intensive processes in financial compliance. Every document must confirm that the individual signing on behalf of an entity has the legal authority to do so. Each case involves parsing legal terminology, confirming identities, and validating authorizations under multiple regulatory frameworks.
Before Maisa, this global institution managed the process entirely by hand. More than three hundred specialists spent thousands of hours reviewing scanned PDFs of inconsistent quality, often without a text layer. They manually read handwriting, stamps, and signatures to validate against internal policies and regional laws.
This manual approach slowed client onboarding, delayed transaction approvals, and created compliance bottlenecks. Attempts to automate the process using OCR and traditional machine learning systems failed because these tools could not understand the nuance of legal language or the diversity of document formats. The result was a process that drained time, created operational risk, and limited scalability.
The Solution
Using Maisa Studio, the compliance team designed and deployed a Digital Worker capable of managing Power of Attorney verification end to end. The configuration process required no coding. The team simply described the task and rules in natural language, allowing the Digital Worker to learn and replicate their expertise.
Document Understanding
The Digital Worker reads both digital and scanned documents, even those without embedded text, ensuring complete coverage across formats and quality levels.
Embedded Expertise
It interprets legal clauses, identifies parties, and verifies authority in context. The system applies the institution’s internal compliance logic and keeps every decision traceable, enabling real-time auditing and transparency.
Learning from Every Case
With each verification, the Digital Worker strengthens its accuracy. It learns from compliance officer feedback in natural language and continuously adapts to new regulatory requirements without requiring new code or redeployment.
Smart Exception Handling
Straightforward cases are approved automatically, while complex ones are routed directly to specialists. Using Human Augmented LLM Processing, humans and the Digital Worker collaborate seamlessly, and recurring issues are resolved autonomously through its self-improving capability.
Through this collaboration, the bank achieved faster verification cycles, reduced workload for compliance professionals, and built a reliable automation framework that evolves continuously.
The Results
Massive Time Recovery
Automating Power of Attorney verification freed forty thousand hours annually, releasing thousands of days of productive capacity back to compliance teams.
Faster Client Onboarding
Verifications that once required hours now take only minutes, accelerating customer activation and transaction processing.
Continuous Compliance Readiness
The Digital Worker evolves with each execution, updating its validation methods automatically to reflect the latest regulations and legal templates.
Significant Cost Impact
Deploying the solution in a single region generated 1.2 million euros in savings, demonstrating one of the highest returns on automation in compliance operations.
Turn your business cases into automation success stories
Discover how simple it is to design, test, and scale your own Digital Workers
By completing and submitting this form, you agree that Maisa may email or call you with product updates, educational resources, and other promotional information. To learn more about how Maisa uses your information, see our Privacy Policy.
Explore other use cases
