From pilots to products

Stop experimenting.
Start implementing AI.

Businesses have long anticipated the transformative power of AI, but many organisations have been stuck in a cycle of pilot projects, hesitant to fully commit due to unclear risks and costs. Too many AI projects languish in pilot purgatory, never reaching rollout stage.

The landscape is rapidly changing: DeepSeek started a race to lower the costs of running AI, while the EU AI Act provided some regulatory clarity. With staff ploughing ahead with adoption, the risk balance reverses, as unauthorised “Shadow IT” weakens organisational defences.

It is clear that businesses need to accelerate AI adoption, by shifting stance from experimentation (focus on the tech) to implementation (focus on the use case).

First, forget the tech

It might be a paradox to start with something you need to forget, but the hype is holding you back. To keep it short, AI is now merely a development stack. Via Azure AI Foundry, your Dev team have all they need to execute, support and help you stay compliant. Moving swiftly on.

Launch these AI use cases in weeks, See ROI in months

Ideal for Marketing and Customer Service teams – these projects are safe, scoped and ready to go.

AI Content Copilot

Automate knowledge curation and content updates using internal data.

Outcome: More content, less grind.

Optimise for AI bots

Shape how bots (like Chatgpt) represent your brand across conversations.

Outcome: Better visibility, better message control.

Personalised user journeys

Deliver truly dynamic content paths based on real user behaviour.

Outcome: Higher engagement, deeper relevance.

Natural Language Search

Help users ask questions and get clear answers from your content.

Outcome: Faster answers, fewer drop-offs.

Conversion-point agents

Replace static forms with helpful AI agents that book calls and answer pricing.

Outcome: Better UX, better conversion.