BRINGING AI INTO YOUR CORE BUSINESS SYSTEMS
Deploy Claude at enterprise scale with Anthropic Partner
Bring foundation models into your technology and product teams with support from Novity.
As organisations move beyond proofs of concept and isolated AI pilots, the focus is shifting towards secure, governed solutions integrated with existing business systems and data.
As a certified member of the Claude Partner Network, Novity helps organisations design the right software architecture, develop their engineering teams' skills and deploy AI agents securely in production.


The tools and technologies we use alongside Claude
Deploying AI pipelines and autonomous agents within existing business systems requires more than foundation models. Integrating Claude into production environments involves a broader software engineering ecosystem.
Our AI specialists and software engineers use backend technologies such as Python and Node.js to implement business logic. We also work with vector databases to provide models with access to relevant contextual information.
For deployment, we rely on secure cloud infrastructure, including AWS, Google Cloud and Azure, alongside DevOps tools such as Docker, Kubernetes and GitLab or GitHub CI/CD pipelines. Together, these technologies support observability, secure secrets management and the scalability of AI agents in production.
About Anthropic's CPN.
The Claude Partner Network is how Anthropic works with the firms that put Claude into production for customers. The Services Track recognizes partners for building a certified delivery team, delivering Claude use cases for clients, and proving the work through public customer references. Partners advance through Certified, Select, Preferred, and Global Premier tiers.
Discover how Novity achieved Certified status in the Claude Partner Network in our latest blog post.




Our Commitment:
Expertise tested on
our own infrastructure
Deploying AI requires close alignment between business strategy and technical execution. As a trusted technology and AI partner, Novity brings together consulting, software architecture and engineering expertise to turn the capabilities of large language models (LLMs) into practical, production-ready solutions.
Our experience in product development, data management, Quality Assurance (QA) and DevOps enables us to work within your existing technology environment. We take into account your source code, applications, APIs, business rules and security requirements. Our certified engineers work closely with the teams responsible for developing and deploying the recommended solutions.
Our teams' CCA-F certification reinforces this hands-on approach. By connecting strategy, software architecture and delivery, we help bridge the gap between technical recommendations and their practical implementation.
We focus on choosing the most effective technology to meet your business needs over the long term. Whether integrating Claude Code into your development workflows, building a data pipeline or configuring a complex autonomous AI agent, we select the architectural approach based on the intended use case and the level of autonomy required, rather than following trends.
How Can We Support your Claude AI deployment?
AI Deployment in numbers
Partnership
Official recognition within the Anthropic ecosystem.
Deployment
Practical AI applications across the software development lifecycle.
Trust
Experience supporting complex business and technical environments.
Clients supported with AI architecture, implementation and delivery projects.
Certification
Technical expertise recognised by the creators of the AI models.
Adoption
Testing and developing our expertise internally before deploying solutions for clients.
Our approach to integrating Claude into your organisation
Strategy
This involves defining the tasks AI will handle, the appropriate level of autonomy, the human oversight required and the resources needed.
The aim is to establish a clear operational scope and a deployment roadmap aligned with your business needs.
Context
We then structure the context Claude needs to understand requests, apply the right business rules and produce reliable results.
This preparation helps reduce the risk of misinterpretation and improves the consistency of AI-generated outputs.
Architecture
We configure access to enterprise data, identity management, secure connections through the Model Context Protocol (MCP), orchestration mechanisms and access controls.
The architecture is tailored to the complexity of each use case, processing volumes and regulatory requirements.
Build
They configure the instructions, software tools and workflows Claude needs to carry out each stage of a process.
Throughout development, we ensure that the agents operate within the conditions and boundaries agreed with your technical teams.
Run
Security measures, including protection against prompt injection, and human oversight are built into the governance framework.
We also implement monitoring to track performance and train your teams to manage and use AI models effectively over time.
Our technical expertise in deploying Claude at scale
Integrating Claude into an enterprise environment requires a coordinated engineering approach. Our engineers design, deploy and manage reliable AI systems to modernise your IT infrastructure and adapt AI capabilities to complex business processes.
Multi-Agent orchestration with Claude
Impact
Deploying Claude Code at scale
Impact
Test automation
Impact
Security, compliance and AI FinOps
Impact
Adapting Claude to Complex Business Environments
Claude supports business functions where reliable AI reasoning is just as important as task automation.
Finance
Healthcare
Retail
HR & Training
Media & Marketing
Services B2B
Our technology expertise behind business transformation
Integrating foundation models into enterprise environments requires more than interacting with AI through prompts. Explore the technical expertise we bring together to help our clients modernise and scale their systems.
Our article on [evolving tech and product roles in the age of AI] highlights why combining these complementary skills is essential for successful AI deployment.
AI Modernisation
Moving beyond legacy systems through automation.
We use AI and agent-based workflows to accelerate the modernisation of legacy software systems. This approach helps reduce compliance risks and lower maintenance costs.
Intelligence Artificielle
Strategic planning and tailored AI solutions.
We support CTOs, CIOs and CPOs in making informed AI decisions and developing solutions suited to their business needs, from data assessment to secure production deployment.
Data
Building a foundation for innovation and scale
We help organisations structure and
manage their data, creating a reliable foundation for integrating and orchestrating large language models (LLMs).
Technology Ops
System performance and security
Our DevOps approach focuses on system resilience, security and infrastructure scalability, helping your technology environment adapt to changing requirements and periods of high demand.
Multidisciplinary expertise for your AI projects
Frequently asked questions about Caude integration and Enterprise AI
Certified status in the Claude Partner Network formally recognises Novity's technical expertise. It confirms that our engineering teams have completed the relevant training and obtained the certifications required by Anthropic. For our clients, this demonstrates our ability to integrate Claude securely and effectively into real-world production environments.
Choosing the right AI partner requires proven experience and recognised technical expertise. At Novity, we help organisations move beyond AI experimentation by integrating Claude into their engineering workflows and deploying AI agents securely in production. Our certified specialists combine technical expertise with an understanding of your business challenges to ensure AI solutions align with your strategic and financial objectives.
A Forward Deployed Engineer works directly within the client's operational environment. They assess existing infrastructure, adapt AI technologies to specific business and technical requirements, and coordinate production deployment. Their role is to bridge the gap between generic foundation models and the practical requirements of your existing IT systems.
As AI becomes capable of generating routine code, simply outsourcing development tasks is no longer enough. The focus is shifting towards designing and managing complex data systems. This requires engineers who work closely with internal teams and understand business processes, rather than external developers working in isolation.
Novity operates a hybrid delivery model designed to provide operational flexibility. We combine strategic consulting with the expertise of our dedicated software development and AI architecture teams and secure infrastructure across our three locations.
This approach strengthens operational resilience and enables us to bring together the right technical expertise to support your project's requirements.
The result: near-zero turnover and stable profiles that preserve your project knowledge.
Security is built into the software architecture from the outset, following a security-by-design approach. Novity's specialists configure isolated cloud environments and use the Model Context Protocol (MCP) to control access to enterprise databases. Sensitive business data and proprietary source code are not used to train publicly available AI models.
You stay in control of your roadmap, with zero administrative burden on your side.
The Claude Certified Architect – Foundations (CCA-F) certification validates the technical skills required to design complex AI architectures.
It covers secure Retrieval-Augmented Generation (RAG), tool development using the Claude Agent SDK, multi-agent orchestration and prompt engineering techniques for producing predictable, reliable outputs.
Novity's engineers have achieved this certification, supporting our status as a Certified Partner in Anthropic's Claude Partner Network.







