Azure AI Foundry Consulting · UK

Expert Azure AI Foundry Consulting for UK Businesses

Build enterprise AI that connects directly to your existing Power Platform investment. Our certified Microsoft AI consultants guide you from strategy through to production, keeping your data inside your Azure tenancy at every step.

Azure CertifiedRAG PipelinesUK Data Residency

AI Strategy

Use case discovery & roadmap

RAG Pipelines

Knowledge-grounded AI

Agent Orchestration

Multi-agent AI systems

Power Platform

Native integration

What We Cover

What Our AI Foundry Consulting Covers

End-to-end AI Foundry consulting, from identifying the right use cases to deploying production-grade AI integrated with your Power Platform.

AI Strategy & Use Case Discovery

Structured workshops to identify where AI delivers the most value in your business, prioritised by impact, feasibility, and alignment with your data.

WorkshopsROI AnalysisRoadmap

Model Selection & Fine-Tuning

We select the right foundational model for your use case (GPT-4o, Phi-4, Llama) and fine-tune it on your proprietary data for domain-specific accuracy.

GPT-4oPhi-4Fine-Tuning

RAG Pipeline Architecture

Design and build Retrieval-Augmented Generation pipelines that ground AI responses in your internal documents, SharePoint content, and knowledge bases.

Vector SearchSharePointKnowledge Base

Agent Orchestration Design

Architect multi-agent AI systems where specialised agents collaborate to handle complex, multi-step business processes autonomously.

Multi-AgentOrchestrationAutomation

Power Platform Integration

Connect your AI Foundry models and agents to Power Apps, Power Automate, and Copilot Studio, so AI works within your existing tools.

Power AppsPower AutomateCopilot Studio

Responsible AI & Governance

Implement content safety, fairness evaluation, and Microsoft Purview audit trails to ensure your AI deployment meets regulatory and ethical standards.

PurviewContent SafetyCompliance

Our Approach

How Our AI Foundry Consulting Works

A structured five-stage process that moves from validating value quickly to delivering production-grade AI at scale.

01

AI Readiness Assessment

We evaluate your data landscape, Azure environment, and business processes to determine your AI readiness and identify quick wins.

02

Use Case Prioritisation

Workshops to score and rank AI opportunities by business impact, data availability, and implementation complexity.

03

Proof of Concept Build

We build a working proof of concept in 2–4 weeks to validate the approach and demonstrate measurable value before full investment.

04

Production Implementation

Full build of the production AI solution, model fine-tuning, RAG pipelines, agent orchestration, and Power Platform integration.

05

Monitoring & Iteration

Post-launch monitoring of model performance, usage analytics, and iterative improvement based on real-world feedback.

Who We Work With

Who We Help With AI Foundry Consulting

Regulated UK industries trust Azure AI Foundry because your data stays inside your own Microsoft tenancy, always.

Legal & Professional Services

Contract review and clause extraction, due diligence automation, and AI research assistants trained on firm-specific documents, with data never leaving your Azure tenancy.

Financial Services

Automated document analysis, regulatory report generation, compliance monitoring, and intelligent client onboarding under FCA requirements.

Healthcare

Clinical document summarisation, patient triage assistance, and administrative automation integrated with NHS systems and IG Toolkit data governance requirements.

Manufacturing

Quality control document analysis, predictive analytics on operational data, and AI-powered reporting integrated directly with your Power BI dashboards.

Azure AI Foundry Consulting: Frequently Asked Questions

Common questions about our Azure AI Foundry consulting services for UK businesses.

Start Your AI Project

Ready to Build Enterprise AI on Microsoft?

Book a free AI readiness assessment. We'll identify your highest-value use cases and map a clear path from proof of concept to production, inside your existing Azure environment.