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Home/Blog
From the blog

Ideas & playbooks for AI-first teams

Guides, case studies and automation playbooks to help your business get more from AI.

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Case study July 20, 2026

Filling 24% more off-peak rooms with demand-based offers

Personalised offers to past guests during low-occupancy windows lifted revenue without discounting peak inventory.

Case study July 20, 2026

Handling 83% of guest enquiries before they reach the front desk

A guest service agent answered booking, amenity and local questions across channels, freeing staff for in-person hospitality.

Case study July 20, 2026

Shop-floor knowledge on demand for a shift-based workforce

Operators got instant answers on procedures and changeovers, reducing errors and dependence on senior staff.

Case study July 20, 2026

Automating supplier communication across 240 vendors

Purchase order confirmations, delay chasing and quality feedback were automated, freeing procurement for strategic work.

Case study July 20, 2026

Production planning that absorbs demand swings without overtime

Demand forecasting and capacity modelling smoothed production schedules, cutting premium overtime and missed delivery dates.

Case study July 20, 2026

Predictive maintenance across 180 machines cut downtime 41%

Condition monitoring replaced fixed-interval servicing, reducing unplanned stoppages and unnecessary maintenance.

Case study July 20, 2026

Catching defects earlier and cutting scrap by 29%

Automated visual inspection on the line identified defects at source rather than at final QC, reducing scrap and rework.

Case study July 20, 2026

Turning release notes and docs into a same-day process

Documentation and release notes drafted from commits and tickets, ending the perpetual lag behind shipped features.

Case study July 20, 2026

Keeping RevOps data clean across 60,000 CRM records

Duplicate detection and enrichment restored trust in pipeline reporting for a fast-growing sales organisation.

Case study July 20, 2026

Generating regression test coverage for a legacy codebase

Automated test generation gave a team confidence to refactor code that had gone untouched for years.

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