The compliance AI agent quickly went viral across the organization, and it inspired teams to automate other key workflows.

From One Agent to an Ecosystem: A Suite of AI Agents for Legal Teams

The Problem: Bottlenecks in Legal Workflows

The legal team realized that it was facing increasing demands to review, organize, and guide a growing volume of documents and policies. Contract analysis was slow and resource-intensive, making it difficult to consistently extract key terms and identify risks. Moreover, legal content lacked structure, and employees across departments struggled to quickly find clear answers to compliance questions such as procurement rules or data-sharing policies. These challenges created bottlenecks that slowed decision-making across the organization.

The Solution: An AI Agent Suite for Legal Needs

To address these issues, the team began building a suite of legal-focused AI agents. The first was a contract analyzer that leveraged multiple LLMs to automatically extract key terms, assess liability, and surface potential risks—quickly proving its value and unlocking further legal innovation. Next, they deployed an AI agent to categorize legal content by type (sales, support, privacy, or financing), making documentation easier to search and manage. Finally, they launched a legal guideline chatbot, powered by internal policies and accessible through Slack, enabling employees to ask direct compliance questions and receive instant, consistent answers. Together, these agents streamline legal workflows, dramatically reduce bottlenecks, and scale expertise across the organization.

An HR AI Agent to Save 1500+ Hours Per Month 

The Problem: Manual Childcare Reimbursement Overload

HR teams at the bank were processing more than 7,000 childcare reimbursement requests each month. Each request required employees to submit receipts that HR staff would manually review, cross-check against employee eligibility, and then approve. The process was slow, taking up to four hours per reimbursement, leaving employees waiting long periods for refunds and draining thousands of staff hours monthly.

The Solution: Automated Reimbursement With AI

The bank deployed an AI agent to fully automate this workflow. Employees now upload receipts, which are scanned using Optical Character Recognition (OCR) to extract text. That information is cross-referenced against the employee database in Google Drive and the internal reimbursement policies using multiple LLMs. 

Processing refunds used to take the HR team approximately 4 hours. StackAI got it down to 1.2 seconds, meaning this agent saves over 1500 hours per month.