BRINGING AI INTO YOUR CORE BUSINESS SYSTEMS

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Deploy Claude at enterprise scale with Anthropic Partner

Bring foundation models into your technology and product teams with support from Novity.
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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.
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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.

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Novity is certified status in the Claude Partner Network
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Integrated engineering for your business-critical projects

We work with software companies, start-ups and digital innovation teams, from SMEs to large enterprises, on complex technical projects.
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Our engineers help development teams build their skills in using Anthropic's AI models, adapt existing software architectures to support AI integration and develop robust software solutions.

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Cas client présentant la plateforme SaaS B2B d'un acteur de la Retail Tech, accompagnée par le partenaire Tech et Produit Novity
Retail Tech
B2B Software Optimisation

Consolidating a retail SaaS platform to support large-scale data integration while maintaining a reliable software architecture.

Case study
Case Study: Custom Mobility Marketplace for an Automotive Leader by Novity
Mobility
Platform Scability

Modernise software foundations for an automotive C2C marketplace and develop a C2B vertical to support scaling

Case study
Case Study: 2026 E-Invoicing Compliance for B2B Services by Novity
Services B2B
Digitalising Business Processes

Adapt existing codebase to meet new e-invoicing standards while maintaining product innovation cycles

Case study
FinTech Case Study: Building a Multi-Product Insurance Platform with Novity
Assurance
Compliance and Performance

Unifying and standardising operations across multiple insurance products while meeting the strict regulatory requirements of European insurers.

Case study
Case Study: High-Security Medical Platform for a Global Healthcare Leader with Novity
Healthcare
Data Integrity and Reliability

Advanced software engineering to safeguard healthcare data integrity and support a tailored roadmap for international expansion.

Case study

Discover how we help our clients design, develop and optimise their systems with efficiency and precision.

Our client case studies
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Looking to integrate Claude Code into your organisation?
Let’s talk

Clients experiences

Technology and product leaders trust us because our teams work closely with theirs and integrate naturally into their day-to-day operations.​

Autonomy & technical rigour
Working with Novity has been remarkably straightforward. Their teams bring a high level of expertise, and their operational follow-through is consistently rigorous. A trusted partner that combines technical excellence with a genuine commitment to our success
Client review & testimonial: Aroun Poligadu, CIO at iQera, on partnering with Novity
Aroun Poligadu
CIO - iQERA
Successful team integration
Novity's team consistently demonstrates exceptional professionalism, responsiveness, and a strong willingness to tackle new challenges. Their collaborative mindset and commitment to delivering value make them a trusted partner and a pleasure to work with.
Client review & testimonial: Christophe Dehen, CTO at Adeiz, on partnering with Novity
Christophe Dehen
CTO - ADEIZ
Understanding of business challenges
My team has been working with Novity for the past four years. Their engineers consistently stand out for their commitment, motivation, and strong technical expertise. I particularly value their ability to adapt quickly to our organisation and ways of working.
Client review & testimonial: Rudy Onfroy, CTPO at Capcar, on partnering with Novity
Rudy Onfroy
CTPO - Capcar
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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.
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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.
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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.

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React / Next.js
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Angular
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Vue.js / Nuxt.js
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Typescript
stack-java-spring-novity
Java / spring boot
stack-nodejs-nestjs-novity
Node.js / NestJS
stack-framework-symfony-laravel-novity
Symfony / Laravel
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.Net
stack-python-novity
Python
Novity engineers from the offshore company in Mauritius and Madagascar collaborating with a CTO

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.
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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.
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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.

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How Can We Support your Claude AI deployment?

Key Criteria
In-House deployment
API integrator
Novity Certified Partner
Planning and governance
Risk of uncontrolled use cases and shadow AI.
Functional scope often limited to basic API requests.
Consulting, training and ongoing support.
Technical oversight
Managed internally, with technical complexity often underestimated.
Often left to the end client.
Defined and reviewed from the design stage, with appropriate guardrails.
Technical expertise
Isolated development may lead to significant technical debt.
Basic integration of data flows.
AI agent development using Model Context Protocol (MCP).
Cost
Unpredictable, often dependent on individual initiative.
Limited knowledge transfer during code delivery.
Structured AI fluency training to support delivery.
Continuity
Greater risk of regulatory compliance gaps.
Responsibility generally transferred to the client.
Integrated into project governance from the outset.
Measuring impact (ROI)
Time-consuming and difficult to assess financially.
Return on investment can be difficult to measure.
Prioritised use cases and measurable AI agent FinOps.
Cadrage et gouvernance
North Africa / Indian Ocean Offshore
Focuses strictly on executing pre-defined specifications and scope documents.
Asian / Indian Offshore
English-speaking ecosystems presenting language barriers and favouring a task-based production approach.
Novity Engineering Model
French-speaking and bilingual FR-EN culture. Proactive integration with European business challenges.
Involvement
North Africa / Indian Ocean Offshore
À votre charge, souvent sous-estimée techniquement.
Asian / Indian Offshore
+4h30 to +5h30 time difference. Asynchronous collaboration requiring extensive oversight documentation.
Novity Engineering Model
+1h to +2h time difference. Integration of a dedicated team that adopts your agile ceremonies in real time.
Seniority Level
North Africa / Indian Ocean Offshore
Staffing built around high volumes of junior profiles requiring heavy supervision.
Asian / Indian Offshore
Model focused on massive scalability of execution resources, leading to high staff turnover.
Novity Engineering Model
Engineers with an average of 8 years of experience—90% originating from software vendors and startups.
Cost
North Africa / Indian Ocean Offshore
Volume-adjusted pricing via traditional service centres. Rising costs in North Africa approaching Western European rates.
Asian / Indian Offshore
Extremely low volume pricing, requiring a heavy internal management burden.
Novity Engineering Model
Net savings of 30% to 50% coupled with autonomous delivery. Proven model with a monthly contract renewal rate over 97%.
Continuity
North Africa / Indian Ocean Offshore
Highly competitive local market leading to frequent job-hopping between companies.
Asian / Indian Offshore
Infrastructure and legal frameworks subject to variable local contexts.
Novity Engineering Model
Secure contract under French law offering a stable legal framework, paired with high expert engagement to protect project knowledge.
Mesure de l'impact (ROI)
Déploiement en autonomie
Chronophage et très difficile à évaluer financièrement.
Intégrateur (API)
Retour sur investissement difficile à isoler.
Partenaire Certified Novity
Cas d'usage priorisés et FinOps agentique mesurable.

AI Deployment in numbers

Partnership

Official recognition within the Anthropic ecosystem.

2026
We joined the Services Track of the Claude Partner Network as a Certified Partner.

Deployment

Practical AI applications across the software development lifecycle.

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AI use cases implemented, including code refactoring, retrieval-augmented generation (RAG), testing and documentation.

Trust

Experience supporting complex business and technical environments.​

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15

Clients supported with AI architecture, implementation and delivery projects.

Certification

Technical expertise recognised by the creators of the AI models.

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10
%
Of our engineers have achieved the Claude Certified Architect – Foundations (CCA-F) certification, demonstrating their technical expertise.

Adoption

Testing and developing our expertise internally before deploying solutions for clients.

Oct.
2025
We introduced Claude across our internal teams to test its capabilities against real-world code and development challenges before deploying solutions in client environments.

Our approach to integrating Claude into your organisation​

1

Strategy

Defining AI use cases.
We identify high-value business processes that could benefit from automation with Claude, assess their feasibility and establish success metrics.

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.
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Context

Analysing processes and Data.
We assess your existing processes, data sources, security requirements and potential system bottlenecks.

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.
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Architecture

AI Engineering and solution design.
Our architects design how Claude will integrate into your existing technology environment.

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.
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Build

Developing AI-powered automation.
Our engineers develop and integrate autonomous AI agents into your existing business processes.

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.
5

Run

Evaluation, security and governance.
We establish automated evaluations to assess response quality and detect regressions.

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.
Identify practical AI opportunities with an Anthropic Partner
Let's Discuss Your Project

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.​

AI AGENT PLATFORMS

Multi-Agent orchestration with Claude

We design internal AI agent platforms using Claude as the core execution model. Advanced integration with the Model Context Protocol (MCP) and Claude Agent SDK enables AI to connect with your existing systems.

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Impact
Building integrated architectures that can interact with your IT systems, execute autonomous workflows and securely connect to your APIs.
AI DELIVERY

Deploying Claude Code at scale

We help your technology, data and product teams integrate Claude Code into their development workflows. Beyond individual use as a coding assistant, we establish the technical environment and processes needed to adopt Claude Code across engineering teams.
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Impact
Structured code repositories, asynchronous code reviews, automated unit test generation and secure continuous integration and delivery (CI/CD).
LEGACY CODE MODERNISATION

Test automation

We help organisations modernise their IT environments by combining Claude Code's AI-powered analysis capabilities with the expertise of our senior engineers. AI helps analyse large, undocumented codebases to uncover underlying business logic.


Impact
Faster modernisation of legacy systems, reduced technical debt and shorter time to market.
IT GOVERNANCE

Security, compliance and AI FinOps

We incorporate security, regulatory compliance (EU AI Act and GDPR) and responsible AI governance into the architecture from the outset. Prompt engineering helps produce structured, consistent outputs in formats such as JSON.

Impact
Greater control over AI consumption and token usage, helping organisations manage costs while maintaining a financially sustainable approach to innovation.

Adapting Claude to Complex Business Environments

Claude supports business functions where reliable AI reasoning is just as important as task automation.​

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.
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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.

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AI Modernisation

Moving beyond legacy systems through automation.

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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.

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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

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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

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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

Software Engineer (Fullstack)
Data & AI Engineer
Product Engineer / Product Builder

Frequently asked questions about Caude integration and Enterprise AI

What does Certified status in the Claude Partner Network mean?

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.

Why choose Novity for Enterprise AI deployment?

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.

What is the role of a Forward Deployed Engineer (FDE) in an AI project?

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.

Why is Traditional IT Outsourcing evolving with AI?

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.

How does Novity’s multi-hub model, combining its European office in Paris with delivery hubs in Madagascar and Mauritius, work?

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.

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How do you ensure enterprise data security when using Claude?

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.

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What does the Claude Certified Architect – Foundations (CCA-F) Certification validate?

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.

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Ready to deploy Claude?
Speak with our CCA-F-certified specialists to assess your AI use cases, design the right architecture and equip your teams with the skills to use Claude effectively, with support from an Anthropic partner.​