Microsoft Azure

Microsoft's AI offering spans several services:

Azure OpenAI Service provides access to OpenAI's models through Microsoft's infrastructure. You get GPT-4 capabilities with Azure's enterprise security, compliance certifications, and integration with other Azure services.

Cognitive Services offers pre-built AI capabilities: speech recognition, language understanding, translation, vision, and decision support. These handle common AI tasks without building custom models.

Bot Framework provides tools for building conversational agents that deploy across multiple channels including Microsoft Teams, websites, and telephony.

Azure Machine Learning supports custom model development, training, and deployment for organisations with specific requirements that pre-built services cannot address.

Azure makes sense for organisations that:

Already use Microsoft 365. You want AI integrated with Teams, SharePoint, and the way your people already work.

Have Azure infrastructure. You want AI within the same cloud environment and governance model.

Need enterprise compliance. You require strong controls and an audit-friendly posture.

Want Microsoft’s enterprise support model. You want a platform aligned to your vendor relationship and operating model.

Prefer regional control. You want to keep data and processing within specific geographic regions.

The integration benefits are real. AI that works naturally with your existing Microsoft investment is often more useful than standalone solutions.

Our Azure AI work includes:

Teams chatbots that help employees find information, complete tasks, and access internal systems without leaving their collaboration environment.

Customer service bots using Azure Bot Framework with Azure OpenAI for intelligent conversation handling and Cognitive Services for speech and language processing.

Document processing using Form Recognizer and custom models to extract information from invoices, contracts, applications, and other business documents.

Search enhancement combining Azure Cognitive Search with AI to improve how employees and customers find information.

Custom applications using Azure OpenAI Service as the intelligence layer for bespoke business applications.

Azure addresses enterprise requirements that matter for large organisations:

Security: Private networking, customer-managed keys, role-based access control, and integration with Azure Active Directory.

Compliance: Extensive certifications covering regulated industries and geographic requirements.

Scale: Infrastructure that handles enterprise workloads with appropriate performance and availability.

Governance: Tools for managing AI usage, monitoring costs, and enforcing policies across the organisation.

We help organisations get value from Azure AI, whether you are starting fresh or extending existing Azure investments.

Assessment: Understanding your requirements and how Azure AI capabilities map to your needs.

Architecture: Designing solutions that use Azure services appropriately and integrate well with your existing environment.

Implementation: Building and deploying AI applications on Azure with proper security, monitoring, and operations.

Integration: Connecting Azure AI to your business systems and data sources.

In most Azure environments, the biggest wins come from combining strong identity and access control with a clear approach to grounding and validation. That is what turns impressive demos into systems people can trust in day-to-day work.

Use these prompts to define a safe, governable architecture.

“Which use cases should we deliver first inside Teams, and what is the minimal integration set?”

“What identity, access control, and audit requirements must be met for this to be production-safe?”

“Where should we use retrieval, structured outputs, and deterministic checks to reduce errors?”