Real results, real businesses

AI that works in the real world.

From a retail brand in the UK cutting support costs in half, to a logistics firm in Australia optimising 10,000 daily routes. This is what the work actually looks like on the ground.

8+ Countries served
4 Service areas
100% Bespoke builds
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AI Chatbots & Assistants
2 case studies
🇬🇧 United Kingdom Retail

24/7 AI support bot that cut ticket volume by 62%

Challenge A mid-sized UK retailer was handling 4,000+ monthly support tickets. Response times were 48+ hours and customer satisfaction was falling.
Solution We deployed a GPT-4 powered assistant trained on their product catalogue, returns policy, and order management system. It went live on both their website and WhatsApp.
Outcome Support tickets dropped by 62%. First-response time went from 48 hours to under 30 seconds. Customer satisfaction scores improved by 28 points.
🇦🇪 United Arab Emirates Hospitality

Multilingual AI concierge for a Dubai hotel group

Challenge A luxury hotel group in Dubai served guests from 40+ countries. Front desk staff were overwhelmed with repetitive requests in multiple languages.
Solution We built a multilingual concierge bot covering English, Arabic, French, German, Russian, and Mandarin, handling everything from room requests to local recommendations and booking management.
Outcome 85% of guest queries resolved without human involvement. Front desk team refocused on high-value interactions. Guest satisfaction scores up 19%.
AI Integration with Existing Software
2 case studies
🇩🇪 Germany Manufacturing

AI-powered demand forecasting inside SAP ERP

Challenge A Bavarian parts manufacturer was struggling with excess stock (€2M tied up) and frequent stockouts. Their SAP ERP had no predictive layer.
Solution We integrated a time-series forecasting model directly into their existing SAP workflow. It reads five years of order history and surfaces restocking recommendations inside the interfaces the team already uses every day.
Outcome Inventory holding costs dropped 34%. Stockout incidents reduced by 71%. The procurement team picked it up within days with no retraining needed.
🇦🇺 Australia Logistics

Route optimisation AI integrated with fleet management

Challenge A Sydney-based logistics company was planning 10,000+ daily delivery routes manually. Fuel costs were rising and on-time rates had dipped below 80%.
Solution We integrated an AI routing engine with their existing fleet management software, optimising routes in real-time using live traffic, weather, and vehicle capacity data.
Outcome Fuel costs dropped 22%. On-time delivery rate climbed from 79% to 96%. Routes are replanned automatically when conditions change. Nobody needs to touch it.
Custom AI Model Development
2 case studies
🇺🇸 United States Fintech

Real-time fraud detection model for a US payments platform

Challenge A US-based payments startup was losing $400K per quarter to card fraud. Their existing rule-based detection system had too many false positives and was blocking real customers in the process.
Solution We trained a custom gradient-boosted model on 3 years of transaction data, fine-tuned on their specific fraud patterns, with sub-100ms scoring via a lightweight inference API.
Outcome Fraud losses dropped by 78%. The false positive rate fell by 61%, meaning far fewer legitimate customers getting blocked. The model retrains itself weekly on new data automatically.
🇮🇳 India Healthcare

NLP model for clinical note summarisation

Challenge A Bangalore hospital network had doctors spending 35% of every shift on clinical documentation: dictating, reviewing, and summarising patient notes. That is time that should be with patients.
Solution We built a fine-tuned medical NLP model that transcribes consultations and generates structured clinical summaries, integrated directly with their existing EMR system and reviewable by doctors in seconds.
Outcome Documentation time dropped from 35% to under 8% of each shift. Doctors report seeing two to three more patients per day. Senior clinicians validated summary accuracy at 97%.
AI Automation & Workflow
2 case studies
🇨🇦 Canada Real Estate

Automated lease document extraction and review

Challenge A Toronto property management firm was processing over 500 lease agreements per month manually. Paralegal review was costing $180K a year and adding two to three weeks of delay to every deal.
Solution We built an IDP pipeline that extracts key clauses, flags non-standard terms, and populates their property management system. Each document now takes one paralegal under 10 minutes to review and sign off.
Outcome Document review time reduced by 87%. Annual paralegal costs cut by $140K. Processing backlog eliminated within 2 weeks of go-live.
🇳🇱 Netherlands E-commerce

AI-generated performance reports replacing weekly analyst work

Challenge An Amsterdam e-commerce brand had a data analyst spending 60% of their week pulling the same reports from Shopify, Google Analytics, and Meta Ads, just to answer the same questions every Monday morning.
Solution We built an automated reporting pipeline that aggregates all data sources, generates a plain-English performance summary with key insights, and delivers it to Slack every Monday at 8am.
Outcome The analyst reclaimed 24 hours a week. Reports now arrive three hours earlier than before and contain more useful insight. Zero ongoing manual effort.

Built in the UK. Working worldwide.

We work with clients across every time zone. Whether you are in London or Sydney or anywhere in between, the process is exactly the same: a proper conversation, a clear plan, and a solution that actually gets built and shipped.

🇬🇧 United Kingdom 🇦🇪 Middle East 🇪🇺 Europe 🇺🇸 North America 🇦🇺 Asia Pacific 🌍 And growing
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Every single one of these projects started with a 30-minute call and one honest question: where is this business losing time, money, or customers? Let us find that answer together.

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