#ai_productivity

loveholidays, a European online travel agent processing 60 trillion package combinations daily, has deployed OpenAI's Codex to democratise software development across its organisation. Product managers, designers, and commercial teams now contribute directly to codebases without routing requests through engineering queues. The company created Search Playground, enabling non-engineers to prototype customer experiences; over ten new search experiences have been built this way, with at least three now live. Behind the scenes, Codex guides employees through data platform and infrastructure changes by encoding specialist best practices, raising successful AI-assisted changes from 58% to 93% and increasing platform changes fourfold per support request. Across loveholidays, AI-assisted code changes have risen from 7% to 79% in a year, deployments increased 73%, and engineering headcount remained flat. The company has realised measurable business value: the Data Engineering team reduced cloud storage costs by £36,000 annually and cut data-processing waste by approximately £100,000 per year. loveholidays frames this shift as building "general intelligence for travel"—making specialist expertise and development capability available across the business so the boundary between idea-holders and builders dissolves.

loveholidays, a European online travel agent processing 60 trillion package combinations daily, has deployed OpenAI's Codex to democratise software development across its organisation. Product managers, designers, and commercial teams now contribute directly to codebases without routing requests through engineering queues. The company created Search Playground, enabling non-engineers to prototype customer experiences; over ten new search experiences have been built this way, with at least three now live. Behind the scenes, Codex guides employees through data platform and infrastructure changes by encoding specialist best practices, raising successful AI-assisted changes from 58% to 93% and increasing platform changes fourfold per support request. Across loveholidays, AI-assisted code changes have risen from 7% to 79% in a year, deployments increased 73%, and engineering headcount remained flat. The company has realised measurable business value: the Data Engineering team reduced cloud storage costs by £36,000 annually and cut data-processing waste by approximately £100,000 per year. loveholidays frames this shift as building "general intelligence for travel"—making specialist expertise and development capability available across the business so the boundary between idea-holders and builders dissolves.

Stampli, a procure-to-pay platform, launched its Deep Finance product in six weeks using ChatGPT Work and Codex to automate marketing production tasks. The product marketing team compressed an estimated 243 hours of work into 77 hours—a 68% reduction—while maintaining full human review of customer-facing materials. The tools helped create blog series, launch emails, webinar decks, social creative, animations, and sales enablement assets. Beyond the launch, Stampli built a daily system that automatically gathers product context from internal systems and meeting notes to keep marketing materials current, enabling the small team to produce hundreds of content pieces weekly instead of a few. The automation freed the team to focus on strategy and advising leadership rather than reconstructing context. Stampli now plans to apply this AI-supported workflow across more products and go-to-market programs.

Stampli, a procure-to-pay platform, launched its Deep Finance product in six weeks using ChatGPT Work and Codex to automate marketing production tasks. The product marketing team compressed an estimated 243 hours of work into 77 hours—a 68% reduction—while maintaining full human review of customer-facing materials. The tools helped create blog series, launch emails, webinar decks, social creative, animations, and sales enablement assets. Beyond the launch, Stampli built a daily system that automatically gathers product context from internal systems and meeting notes to keep marketing materials current, enabling the small team to produce hundreds of content pieces weekly instead of a few. The automation freed the team to focus on strategy and advising leadership rather than reconstructing context. Stampli now plans to apply this AI-supported workflow across more products and go-to-market programs.