Use Cases

Real results from real implementations.

Legal

Law Firm — Document Intelligence & Workflow Automation

Challenge

The firm handled large volumes of contracts and case documents, relying heavily on manual review, data entry, and cross-referencing. This led to long turnaround times, inconsistent analysis, and high operational costs.

Solution

We designed an AI-powered workflow that:

  • Automatically ingests and classifies legal documents
  • Extracts key clauses, entities, and deadlines
  • Generates structured summaries for internal review
  • Feeds insights directly into the firm's case management system

Impact

  • Up to 70% reduction in document review time
  • Improved consistency and accuracy across cases
  • Lawyers focused on legal reasoning instead of manual processing
Fintech

Fintech (Payments) — Operational Automation & Reconciliation

Challenge

A payments-focused fintech processed high volumes of transactions across multiple providers. Reconciliation, reporting, and exception handling were largely manual, creating bottlenecks and operational risk.

Solution

We designed an AI-powered workflow that:

  • Automate transaction reconciliation across data sources
  • Detect anomalies and mismatches in real time
  • Generate daily and monthly operational reports
  • Support operations teams with an internal AI assistant

Impact

  • Significant reduction in manual reconciliation work
  • Faster issue detection and resolution
  • More reliable reporting for finance and compliance teams
BNPL

BNPL Platform — Risk, Operations & Internal AI Copilots

Challenge

The BNPL company faced growing operational complexity: manual risk checks, fragmented data, and time-consuming internal reporting as transaction volumes scaled.

Solution

We designed an AI-powered workflow that:

  • Consolidated customer, transaction, and risk data
  • Assisted teams with risk assessment and case reviews
  • Automated internal reporting and operational dashboards
  • Enabled faster decision-making across teams

Impact

  • Reduced operational friction as volumes scaled
  • Faster, more informed risk-related decisions
  • Improved internal visibility across operations