Most AI projects stall right after the demo, because reality hits: a security review, messy data or a team stuck in old habits. Sounds familiar? We fix it by building the strategy, the data foundation, the production systems, and the training sessions that get AI into daily use. For good.
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s360 covers AI deployment end-to-end, and we don’t disappear after go-live. Here’s how we do it, in three steps:
Through workshops, data review, and stakeholder interviews, we find out exactly where and how AI can create value for your business.
We build a prototype and test it on real data, before anyone commits a budget to the final product.
We move it into production and keep it running safely, with our team managing it for the long run.
Here are the six areas we bring together to get AI running in your business.
We turn AI strategy into a working plan: where you stand today, what to build, and how to get from pilot to production. That covers AI maturity benchmarking, prioritised use case mapping, recommendations for technology that matches your objectives, and adoption tracking to see it’s working.
Search is shifting from ten blue links to AI agents that shop, compare, and buy on a customer’s behalf, sometimes completing the purchase without a click to your site. We get your product data and checkout ready for that shift through the Universal Commerce Protocol, with you as Merchant of Record. With the s360 LLM Tracker, we continuously measure and act on the insights that can boost your revenue.
A platform only changes how a business works once people actually use it in their daily work. We build training and change management around your teams: workshops, coaching, shared prompt and skill libraries in each team, and learning tracks built around what your specific roles each need from AI.
Anthropic’s Enterprise plan gives you the security, compliance and admin controls to run Claude across the organisation, including EU data residency and zero data retention. With our Claude capabilities, we handle the rollout and security review, map your use cases to the right skills, and keep everything your teams build under proper version control.
AI inherits the quality of the data beneath it, so we start there. We build the pipelines, integrations and governance that get your data ready for AI, whether you’re on AWS, GCP, Azure or on-Premise. Then we manage the whole project end to end, from source systems to the dashboards your teams use every day.
Some marketing and commercial problems are specific enough that no off-the-shelf tool solves them. When that’s the case, we build what’s needed: custom agents, MCP servers connected to the systems you already use, feed and master data orchestration for large product catalogues. We also help you see what’s actually driving your results, so your budget goes where it works.
We are helping international brands and retailers put AI to work. Here are a few of them:
Tell us what you’re trying to solve with AI, and we will point you to the right place to start.