AI in Action: Real-World Scenarios

The Challenge

A mid-sized logistics company processes 200+ shipping orders daily across email, phone, and a web portal. Staff manually re-type order details into the ERP, leading to frequent errors, delayed dispatches, and overtime costs. Peak seasons create a bottleneck that slows the entire operation.

The Solution

• AI agent that reads incoming order emails, extracts structured data (addresses, weights, SKUs), and validates against product catalog
• Automated ERP entry with human-in-the-loop review for flagged anomalies
• Daily summary dashboard showing processed vs. flagged orders

Tools & Stack

Built to integrate with the company's existing email and ERP systems.

The Challenge

A 40-person law firm has hundreds of internal policies, contract templates, and procedural documents spread across shared drives. Junior associates spend hours searching for the right clause or precedent. Senior partners answer the same procedural questions repeatedly.

The Solution

• RAG-powered knowledge assistant trained on 500+ internal documents with source citations
• Conversational interface deployed on the firm's intranet
• Access controls ensuring confidential documents are only surfaced to authorized roles

Tools & Stack

Self-hosted to meet data sovereignty and client confidentiality requirements.

The Challenge

An e-commerce company with 50K monthly visitors generates leads through gated content and newsletter signups, but the sales team wastes hours qualifying low-intent contacts. Content production is slow, limiting their ability to run campaigns at scale.

The Solution

• Lead scoring system that analyzes behavior, source, and engagement to prioritize contacts automatically
• AI content pipeline generating product descriptions, email sequences, and social posts from product data
• Automated handoff of qualified leads to CRM with enriched profiles

Tools & Stack

Integrated with the company's existing CRM and email marketing platform.

The Challenge

A 120-employee manufacturing company uses AI-based quality inspection on its production line but has no documentation, risk assessment, or governance framework. With the EU AI Act timelines approaching, leadership needs clarity on their obligations and a plan to become compliant.

The Solution

• 2-week AI readiness sprint mapping all AI systems in use, data flows, and risk profiles
• EU AI Act gap analysis with risk classification for each system
• Compliance roadmap with prioritized actions, documentation templates, and a staff training plan

Deliverables

Strategic advisory engagement producing actionable documentation, not code.