Move AI prototypes into secure production.
AI prototypes or AI PoCs are easy to build. The real challenge is to make them secure, governed, scalable and reliable for hundreds or thousands of users. We help companies move their AI solutions from prototype to production successfully, whether it needs to be integrated with existing systems, scaled for a large user base, or made compliant with regulatory requirements.
AI implementation in a secure and governed way
Most companies already have AI ideas, Copilot or Claude experiements, internal chatbots or prototypes. But Microsoft-centric organisations that need production confidence, another AI demo is not enough.
Peruzzi helps organisations move from AI prototypes to production-ready solutions by addressing security, governance, scalability, and reliability challenges.
It's not just a prototype. It's a production-ready solution.
The goal is to measurably improve how your team operates. With a production-ready AI solution, you can achieve greater efficiency, accuracy, and scalability while ensuring compliance and governance.
AI isn't the hard part - getting it to production is.
We deliver production-ready AI solutions that are secure, scalable, and built for long-term success.
Azure-native identity & permissions
Entra ID and RBAC preserve organisational access controls.
Human-in-the-loop workflows
AI prepares and recommends while humans remain accountable.
Monitoring & incident paths
Logs, alerts and escalation processes are designed before go-live.
Maintainable after handover
Documentation and knowledge transfer reduce vendor dependence.
Built for the difficult part of enterprise AI
You do not need another generic AI consultancy. You need a partner that can take responsibility for getting the system live.
Azure-native
Built inside your existing Microsoft ecosystem.
Production focused
Designed for real users, operation and support.
No knowledge lock-in
Documentation, runbooks and knowledge transfer included.
Human controlled
AI assists while accountable decisions stay with people.
From opportunity to production
Start with a defined scope, known entry point and an explicit decision at the end.
AI Readiness Assessment
From £6,500
A structured assessment of your use case, data, architecture, security, governance and operating model.
✓ Production-readiness gaps identified
✓ Architecture and data risks mapped
✓ Governance requirements clarified
✓ Stop / prepare / pilot / production recommendation
Pilot or PoC
From £19,500
Validate one workflow against agreed technical and business success criteria.
✓ One measurable KPI
✓ Governance and compliance controls
✓ Human review where required
✓ Defined go / no-go production decision
Move AI prototypes to production
Legal technology
Legal AI PoC to production in 10 days
The client had already built a legal workflow automatisation AI prototype in Azure, but it couldn't fulfill its role as a complete Data subject Access Request workflow.
We designed and delivered a complete DSAR process that automated request intake, AI-assisted classification, workflow management and response generation
Benefits
- Delivered the product in a few weeks.
- Reduced manual inbox triage by 40-60% during testing.
- Produced draft responses in seconds and created a clear path to MVP.
FAQ
We already have an AI prototype. Can you productionise it?
Yes! First, we assess where your prototype capabilities, gaps and limitations lie. Then, we evaluate the architecture, data, identity, monitoring, cost control and operational readiness. Finally, we start with the business workflows, data sources, governance requirements and risks that matter most.
Is this just an OpenAI wrapper?
No. OpenAI might be a part of our solution, but we use many other AI technologies and approaches, such as AI Search, AI Foundry, Entra ID, Key Vault, Azure Monitor, ot Microsoft Fabric, Data Factory and Power BI.
What happens after the system goes live? Do we become dependent on Peruzzi?
No. We ensure that your team is fully trained, documentation is provided, and operational processes are established so that you can independently manage and extend the system. Our goal is to empower your organisation rather than create dependency.
How long will AI implementation take?
The duration of AI implementation varies depending on the complexity of the project, the readiness of your data and infrastructure, and the scope of the solution. Typically, initial implementations can take anywhere from a few weeks to several months, with ongoing iterations and improvements thereafter.