Separation model and migration plan
The right level of separation for each kind of data (shared, partitioned or dedicated), with a staged, reversible migration path.
SaaS Platform Modernisation
From a separate copy per customer to one platform that serves them all. Many SaaS products still run a separate copy for each customer, which makes every release and every AI rollout slower and more expensive. We move you to one shared platform that keeps every customer’s data strictly separate, even when AI is doing the work, with usage-based billing built in.
The problem
Why this goes wrong without the right expertise.
What we see in the field
Separate copies per customer multiply the cost of every release, migration and AI feature. A rushed move to a shared platform is worse: one missing check and an AI answers customer A with customer B’s data.
What we deliver
Concrete, merged, documented.
Everything lands in your repositories and your cloud subscriptions, with the runbooks to own it.
Customer-aware sign-in and routing
Entra ID or Azure AD B2C, custom domains, and customer identification the browser or an AI can never override.
Step-by-step modernisation
Services carved out of the existing system behind stable interfaces, without a risky big-bang rewrite.
Metering and billing
Usage tracking, plan limits and Stripe integration so pricing follows the real cost of AI usage.
Portable customer data
Per-customer export, including AI-ready knowledge bundles in open formats.
Typical stack
- ASP.NET Core
- Azure SQL elastic pools
- Azure AD B2C / Entra External ID
- Next.js
- Stripe
Proof, not slides
Where we have already done this.
FAQ Hub serves many businesses from one platform: every request is tied to one customer, from a verified key or domain, before any content, search or AI call is made.
Related insights
Go deeper.
Keeping Customer Data Separate When AI Agents Call Your Systems
Shared SaaS platforms were built for apps that only ask for their own customer's data. AI agents write their own requests. Five patterns that keep each customer's data private.
Read the article →Other services
AI Integration & Agentic Workflows
AI that works inside your rules, not around them.
Explore →Enterprise Platform Engineering & Azure Cloud Architecture
A cloud platform where the secure way is also the fast way.
Explore →Fintech & High-Compliance Software Development
Software that survives an audit as well as a traffic spike.
Explore →Talk to an expert, not a sales team.
Tell us about your stack, your constraints and where AI needs to fit. A founder replies within one working day.