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AI Strategy

4 June 2026

Why production AI fails — and how to build systems that don't

Most AI systems that fail in production don't fail because the model was bad. They fail because the surrounding system, data pipelines, monitoring, human oversight, wasn't designed for the real world. Here's what we've learned from 157+ deployments.

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Healthcare AI

12 Mar 2026

How HealthSync AI reduced patient waiting times by 40%

A deep dive into the predictive scheduling algorithms and real-time alert systems that transformed patient flow at Horizon Care Group.

Retail & Analytics

8 Nov 2025

AI-driven inventory optimisation: the RetailMind story

How we built a demand forecasting engine that cut overstock by 35% and improved shelf availability at UrbanStyle stores nationwide.

EdTech

3 Jul 2025

Personalised learning at scale: lessons from EduNova

Building adaptive learning modules that respond to individual student progress while supporting educators with real-time engagement analytics.

Logistics AI

19 Feb 2025

Route optimisation and the £2M fuel saving for SwiftMove

Inside FleetPilot AI's optimisation engine: how predictive fuel analytics and smart route planning delivered a significant efficiency boost for a national delivery fleet.

Security & AI

5 Sep 2024

Real-time threat detection: building SecureVision's alerting layer

A technical look at how we reduced false positives by 72% using a multi-model inference stack combined with human review workflows.

Platform Engineering

14 Jan 2024

Designing AI pipelines for regulated industries

Compliance, auditability, and trust aren't optional extras in regulated sectors — they're architectural requirements. Here's our framework.

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