Case Studies

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.

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

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.

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

The operator ran unstaffed centres across several countries. Incident data already existed in a maintenance platform, supplier portals and spreadsheets, and was fully traceable, but nobody could see it in one place. A failed door after hours meant either paying for a guard or leaving units exposed, and a lift out of service meant customers could not move their boxes.

We designed an AI-powered workflow that:

• Connected the maintenance platform, supplier portals and spreadsheets into one normalised base
• Defined the KPIs per asset with the operations team: door availability, lift uptime, repair time
• Surfaced only the incidents past threshold, each one routed to a named owner
• Added automated monthly reporting and a chatbot for questions like which centres have sat open over 48 hours