AI Implementation Services
What you take away
Production AI systems that are instrumented, governed, owned, and measurable, running inside your existing stack rather than as isolated pilots.
What we implement
AI inside your platforms
Activation and integration of the native AI capabilities in platforms such as HubSpot, Klaviyo, Microsoft Copilot Studio, your CMS, and Salesforce. Built into measurable workflows, with the data connected, editorial controls in place, and reporting set up.
Custom agents and AI applications
Where a platform cannot do the job, custom agents and AI applications on Azure OpenAI, AWS Bedrock, or appropriately hosted open-weight models, built with retrieval-grounded design, evaluation, logging, cost tracking, and the ability to switch the system off.
AI integrations and data connections
Connecting AI to the rest of your stack, including CRM, commerce, CMS, PIM, DAM, CDP, support, and finance, and to your AI data supply chain. This is often the difference between an isolated AI feature and a genuine AI capability.
AI in commerce
Agent-ready commerce on platforms such as commercetools, BigCommerce, and Shopify, with AI search and recommendation, product data enrichment, and personalisation grounded in real customer signals.
Agentic experiences
End-to-end build of agentic experiences, including conversational interfaces, AI-driven journeys, and multi-step automation across systems, with identity, consent, observability, and governance built in.
AI search and GEO production
Building the structured data, llms.txt, content structure, and measurement loop that help a brand stay visible in AI-driven search. We run this as a dedicated practice and also deliver it as part of a broader AI build.
How we work
Discovery
We confirm scope, success criteria, owners, governance, and the risks we need to design around. This typically takes one to two weeks.
Design and prototype
Architecture, data design, model and platform selection, and a working prototype against real data. This typically takes two to four weeks.
Build and integrate
Production build, integration with your existing systems, observability and governance controls, and a clear sign-off path. This usually takes from four weeks upwards depending on scope.
Operate
Ongoing monitoring, evaluation, model and prompt updates, cost tracking, regulatory tracking, and continuous improvement.
How we approach key decisions
Platform or custom build
We default to platforms. Where a platform’s native AI can do the job inside a measurable workflow, we use it, since you already pay for the platform and the integration is faster. A custom build on Azure OpenAI, AWS Bedrock, or open-weight models is the right choice when the workflow needs proprietary data, a specific model, or cost control that the platforms cannot provide.
Cost
Every build comes with a cost model covering model spend, infrastructure, integration, and ongoing operation, and a measurable target it needs to meet. We track model spend continuously and design for cost from the start, including model selection, caching, and regular evaluation against lower-cost options.
Data residency and sovereignty
For European clients, we default to Azure OpenAI or AWS Bedrock in EU regions, or to self-hosted open-weight models where residency requires it, and we design the data flow so personal data stays within the right jurisdiction.
Why organisations work with us
End-to-end delivery
We combine advisory, architecture, implementation, and operational support in one collaboration model. What we recommend, we are able to build and run.
Platform experience
We work across modern commerce, CMS, and martech ecosystems and understand how AI fits into real operational environments. We are a HubSpot Diamond Partner, a Klaviyo Gold Partner, a commercetools partner, and a member of the MACH Alliance.
Technology-neutral approach
We do not develop our own foundation models. This keeps our advice independent and lets us help you choose, integrate, and govern the technologies that best fit your needs.
Business-focused implementation
Our focus is on measurable outcomes, operational adoption, and long-term maintainability, rather than experimentation without clear ownership.
Collaborative approach
We work closely with your teams throughout, keeping business goals, technology decisions, and operational realities aligned.
About Novicell
Novicell is a digital consultancy that helps organisations strengthen commerce, digital experience, and operational performance.
We work across strategy, platforms, architecture, development, marketing, and data, helping organisations integrate AI into their existing business and technology environments in a practical and measurable way. Our teams combine strategic advisory with hands-on implementation.
We work with CTOs, CIOs, heads of engineering, heads of digital, and heads of operations on both advisory and implementation engagements.
Whether you are deciding between a platform-native, custom, or off-the-shelf approach, or you are ready to build, we can support you from first conversation through to delivery, governance, and ongoing operation.
Get in touch to discuss your AI implementation.
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