The intelligence infrastructurefor your organisation
SmartSpace is the intelligence infrastructure for your organisation. Your systems and data already hold real value, but AI needs them connected and in context to be useful. Built natively inside Azure, SmartSpace provides that governed foundation, so you can put AI to work across workflows, automation, reporting and decision support, without rebuilding the architecture underneath.
Connected systems and context
One reusable foundation for AI across the organisation
Governance built into the architecture
Enterprise controls that enable scale, not restrict it
Why not just stitch AI tools together?
Assembling separate AI tools leaves you rebuilding integrations, permissions and governance for every project. SmartSpace provides one reusable architecture inside Azure, so each new AI capability starts from a foundation that already exists.
Azure-native deployment
SmartSpace runs entirely inside your own Azure tenant. Your data, your AI models and every capability you build stay within the boundary you own, govern and control.
Connected systems
AI is only useful when it can reach the right information. SmartSpace connects files, databases, content stores and line-of-business systems, so every capability works with real, current business data.
Preserved business context
Connecting systems is not enough. SmartSpace defines how systems, content and business context relate to each other, giving AI the context it needs to produce accurate, trustworthy results.
Reusable architecture
Every integration, relationship and governance pattern you establish is reused by the next capability. Nothing is rebuilt from scratch, so each new AI use case is faster to deliver.
Built to scale
The same architecture supports one AI capability or many. Expanding across teams and business functions does not require re-engineering the platform underneath.
Governance by design
Entra ID, RBAC, audit logging and compliance-aligned controls are built into the architecture. Governance is what lets you deploy AI to more teams safely, not a barrier that slows it down.
A connected operating model, not a set of tools
Infrastructure, Workspaces and Flows are three layers of one connected model. Each has a distinct responsibility: Infrastructure provides the foundation, Workspaces package it into capabilities, and Flows coordinate those capabilities into processes.
Establishes the shared Azure foundation
Infrastructure is the shared foundation, deployed inside your Azure tenant. It connects your business systems, hosts your AI model access, and provides the governance, identity and access controls every capability depends on. Establish it once, and everything built afterwards inherits the same connectivity, security and trust.
- Deployed inside your Azure tenant from day one
- Azure OpenAI and Azure AI Foundry model access
- Data connectors for files, databases and line-of-business systems
- Entra ID, RBAC and audit logging at the platform layer
Package connected systems and AI into reusable capabilities
Workspaces turn the shared foundation into practical AI capabilities. Each one packages the relevant systems, business context, AI services and interfaces into a governed capability your teams can actually use. Business teams get a working AI capability without a separate build, and the same trusted foundation stays consistent across every function.
- Packages connected systems, AI services and interfaces together
- Scoped to a specific business context and audience
- Governed access and interface configured per capability
- Reuses the shared foundation instead of rebuilding it
Coordinate capabilities into governed business processes
Flows connect multiple capabilities into repeatable, multi-step business processes. They run on the same connected systems and governed data as the workspaces they orchestrate, so every step stays consistent and controlled. This is where AI moves from answering questions to running coordinated operational processes end to end.
- Multi-step processes built on the same governed foundation
- Consistent governance and data access across every step
- Repeatable automation at organisational scale
- Extends operational reach without new infrastructure
Stop rebuilding the same foundation
Most AI projects rebuild the same integrations, permissions, governance and configuration every time. SmartSpace lets you build that foundation once. Every new capability reuses it, cutting engineering effort and delivering AI to the business faster.
Establish the foundation
Connect your first business systems, define the relevant data relationships and set up governance inside your Azure environment. Every capability that follows relies on this.
Deploy the first AI capability
Configure a workspace around a specific business need. The foundation is already in place, so your team defines scope and access and puts a working capability in front of the right people.
Automate with Flows
Extend the capability into repeatable, multi-step processes. AI moves from answering questions to running coordinated operational work consistently at scale.
Reuse across the organisation
Each new capability reuses the same integrations, relationships and governance. You stop rebuilding architecture for every project and start delivering AI faster each time.
Connect once. Reuse many times. Every new capability inherits the connected systems, business context and governance already in place, so your team builds on the foundation instead of rebuilding it.
Built on infrastructure you already trust
Why Azure matters: your data and AI never leave the environment your teams already understand and your security function already governs. SmartSpace runs natively inside your tenant, integrating with Azure OpenAI, Azure AI Foundry, Entra ID and Azure Storage. You keep ownership, identity, security and operational control, rather than handing your data and AI to another vendor's cloud.
SmartSpace is available on the Azure Marketplace and supports procurement through existing Microsoft agreements, with co-sell routes for organisations that want to buy through their existing Microsoft commercial relationship.
Azure-native deployment
Inside your tenant from day one
Entra ID integration
SSO and role-based access control
Azure Marketplace
Procure through your existing agreement
Azure OpenAI
Model access via Azure AI Foundry
How do you scale AI safely?
Governance is built into SmartSpace from deployment, not bolted on afterwards. That means you can expand AI to new teams, departments and business functions without recreating security and compliance for every deployment, keeping consistent ownership and control as you grow.
Your Azure environment
SmartSpace runs inside your Azure tenant. Your data, your AI models and every capability built on them stay within the boundary you already govern.
Customer-controlled access
Entra ID, RBAC and configurable data permissions are enforced at every layer. Who can access each AI capability is always determined by your organisation.
Governance that enables scale
Audit logging, compliance-aligned controls and access governance are built in from deployment. You deploy AI to new teams without recreating security and compliance each time.
Consistent across every team
The same connectivity, context and governance that support the first capability support every one that follows. Expanding to new functions needs no re-architecture.
A structured path to your first governed AI capability
Kickstart is a guided engagement that gets you to a real, governed AI capability with confidence. SmartSpace specialists work with your team to connect systems, establish governance and configure the first workspace inside your Azure environment. You finish with a working operational capability, not a proof of concept.
The foundation established in Kickstart is reusable. Every capability you build afterwards starts from it, so your first project also sets up everything that follows.
Connect
Connect the relevant systems, define data relationships and establish governance inside your Azure tenant.
Configure
Build your first AI capability around a real business need, with scope, context and access set for the right audience.
Deploy
Put a governed, connected AI capability into your Azure environment. Operational in weeks, not months.
Reuse
Validate the outcome, then build the next capability on the same foundation instead of starting over.
Ready to establish your AI platform foundation?
Talk to our team about building the reusable, governed foundation for AI inside Azure. Connect your systems, preserve business context and deploy AI you can scale with confidence.