BRINGING AI INTO YOUR CORE BUSINESS SYSTEMS
Deploy Claude at enterprise scale with a partner of Anthropic's CPN
Deploy Claude at enterprise scale with a partner in the Claude Partner Network.
Bring foundation models into your tech and product teams with support from Novity.
As organisations move beyond proofs of concept and AI pilots, the focus shifts to secure, governed solutions that plug into real business systems and data.
As a certified member of the Claude Partner Network, Novity helps organizations pick the right software. They build engineering teams' skills and safely deploy AI agents in production.
Integrated engineering for your business-critical projects
We work with software companies, start-ups, and digital teams. We help everyone from small businesses to large companies with complex projects.
Our engineers help development teams learn skills with Anthropic models. They also adapt software design for AI integration and create strong software solutions.
Clients' Experiences
Technology and product leaders trust us because our teams work closely with theirs and fit into their day-to-day work.
The tools and technologies we use alongside Claude
Deploying AI pipelines and autonomous agents within existing business systems needs more than foundation models. Integrating Claude into production also needs a wider software engineering stack.
Our AI specialists and software engineers use backend tools such as Python and Node.js to implement business logic. We also work with vector databases so models can access useful context.
For deployment, we use secure cloud services like AWS, Google Cloud, and Azure. We also use DevOps tools such as Docker, Kubernetes, and GitLab or GitHub CI/CD pipelines. Together, these technologies support monitoring, secure secret handling and the scale of AI agents in production.
About Anthropic's CPN.
The Claude Partner Network is how Anthropic works with firms that put Claude into production for customers. The Services Track honors partners who create a certified delivery team. It also rewards those who deliver Claude use cases for clients and show their 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 partner in technology and AI, Novity combines consulting and software engineering skills. We turn large language models into practical solutions that are ready for production.
Our experience in product development, data management, Quality Assurance and DevOps helps us work inside your existing technology environment. We take your source code, applications, APIs, business rules and security needs into account. Our certified engineers work closely with the teams responsible for building and deploying the solution.
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 use.
We focus on the best technology for your long-term business needs. We choose our design approach based on the use case and needed autonomy. This applies whether we integrate Claude Code into workflows, build a data pipeline, or configure a complex AI agent. We do not base our choices on 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
We tested and refined our expertise internally before client rollout.
Our approach to integrating Claude into your organisation
Strategy
This includes the tasks AI will perform. It also covers how much independence AI should have.
Additionally, it addresses the human supervision needed and the resources required.
The goal is a clear operational scope and a rollout plan aligned with your business needs.
Context
We then shape the context Claude needs to read requests, apply business rules and produce reliable results.
This prep helps reduce misreads and improves the consistency of AI outputs.
Architecture
We set up access to enterprise data, identity management, secure MCP links, orchestration and access controls.
The design fits the complexity of each use case, its volume and its regulatory needs.
Build
They configure the instructions, tools and workflows Claude needs to carry out each step of a process.
Throughout development, we make sure the agents stay within the agreed conditions and limits.
Run
The governance framework includes security measures, such as protection against prompt injection and human oversight.
We also monitor performance and train your teams to manage and use AI models over time.
Our technical expertise in deploying Claude at scale
Integrating Claude into an enterprise environment requires a coordinated engineering approach. Our engineers create and manage reliable AI systems. We modernize your IT infrastructure and adapt AI 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 takes more than prompts. Our mix of AI, engineering teams and systems design helps clients modernize and scale.
Our article on evolving tech and product roles in the age of AI shows why this mix matters for successful AI deployment.
AI Modernisation
Moving beyond legacy systems through automation.
We use AI and agent workflows to speed up legacy software upgrades. This cuts compliance risk and lowers maintenance cost.
Intelligence Artificielle
Strategic planning and tailored AI solutions.
We support CTOs, CIOs and CPOs with practical AI decisions, from data review to secure production deployment.
Data
Building a foundation for innovation and scale
We help organisations structure and
We help organisations structure and manage data, building a solid base for large language models.
Technology Ops
System performance and security
Our DevOps approach focuses on resilience, security and scale so your tech can handle change and peak demand.
Multidisciplinary expertise for your AI projects
Frequently asked questions about Caude integration and Enterprise AI
It formally recognises Novity’s technical expertise, confirming our engineers have passed Anthropic’s required training and certifications. For clients, this proves we can integrate Claude securely and effectively into live production environments.
We help businesses move past the trial phase and safely deploy Claude-powered agents into live workflows. Our certified specialists pair deep technical know-how with commercial insight to ensure your AI projects deliver measurable value.
A Forward Deployed Engineer embeds directly within your team to review existing systems, tailor AI models to your exact needs, and oversee rollout. They bridge the gap between off-the-shelf foundation models and your day-to-day IT setup.
Since AI now handles routine coding, basic task-based outsourcing is obsolete. The priority has shifted to building and maintaining sophisticated data systems, which requires engineers who work alongside internal teams and understand your business goals.
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 baked in from the start. We set up isolated cloud environments and use the Model Context Protocol (MCP) to safely govern database access. Your proprietary code and sensitive data are never used to train public models.
It confirms an engineer’s ability to build complex AI systems, covering secure retrieval-augmented generation (RAG), the Claude Agent SDK, multi-agent orchestration, and prompt engineering. Novity’s team holds this certification as part of our Certified Partner status.
