Microsoft Foundry2026-09-23T15:52:01+01:00
Microsoft Foundry logo and two colleagues working

What is Microsoft Foundry?

Microsoft’s pro-code platform for AI applications and agents

Microsoft Foundry, formerly Azure AI Foundry, brings models, agent development, knowledge grounding, evaluation, safety and observability into one development platform.

It suits solutions that need custom code, bespoke orchestration, enterprise integrations, stable endpoints or deeper control over how AI behaves in production.

What we help with

From AI idea to governed production service

Many organisations can demonstrate an AI concept but struggle to turn it into a dependable service. We help make the right platform and architecture decisions, then engineer the application, agent and operating controls needed for production.

Choosing the right AI opportunity

Not every AI idea merits custom development. We assess user needs, value, risk and feasibility, then recommend the best route across Microsoft Foundry, Copilot Studio, Microsoft 365 agents and Power Platform.

Grounding AI in trusted knowledge

Useful AI depends on relevant, permission-aware knowledge. We design and implement retrieval-augmented generation, search, indexing and grounding pipelines, with evaluation criteria agreed up front.

Building agents and AI applications

Our developers build pro-code agents and AI applications, connect APIs, enterprise systems and MCP tools, and create user experiences for Microsoft 365, Teams or custom applications.

Security, safety and governance

We design and implement identity, role-based access, networking, model-use policy, content safety, data protection and audit controls. Evaluation, human oversight and release criteria are built into the lifecycle.

Operating and improving AI in production

We implement tracing, telemetry and monitoring, then help teams improve answer quality, retrieval, prompts, tools, models, permissions, latency, usage and cost through controlled releases.

Microsoft Foundry Consulting & Development

Our Microsoft Foundry services

Four connected service areas balance independent advice with engineering delivery: strategy and architecture, application and agent development, responsible AI and governance, and managed optimisation.

Microsoft Foundry Assessment

AI solution discovery and architecture assessment

A focused engagement for organisations considering or already developing AI applications and agents.

We review the use case, knowledge, integrations, security needs and operating constraints, then recommend a practical route to production.

  • Prioritised use cases and measurable success criteria
  • Recommended platform, model and grounding approach
  • Target architecture covering integrations, identity and networking
  • Responsible AI, evaluation and governance guardrails
  • Costed delivery roadmap from prototype to production

How we deliver Microsoft Foundry services

A practical route from discovery to production

Some organisations need impartial advice and a prototype; others need a production application, agent or grounding system. Established teams may need evaluation, governance or optimisation. We adapt scope, pace and rigour to the opportunity and risk.

Why Intelogy for Microsoft Foundry

The judgement to advise and engineering depth to deliver

Intelogy is a UK Microsoft Solutions Partner with capability spanning Data & AI, Digital & App Innovation, Security, Modern Work and Business Applications.

We combine strategic guidance with hands-on Azure and Microsoft platform delivery. If Foundry is not the right route, we’ll say so.

Intelogy staff + Data & AI accreditation

We’re here to help with your Microsoft Fabric Project

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Our credentials

Microsoft accreditations and partner status

Intelogy has delivered Microsoft solutions to UK organisations since 1995. Our partner designations are recertified each year by Microsoft against team skilling, customer outcomes and delivery performance.

  • Microsoft Solutions Partner for Data & AI. Annual designation covering Microsoft Fabric and the Power BI.

  • Established 1995. UK-based delivery team with three decades of Microsoft platform experience.

  • G-Cloud listed. Available for UK public sector procurement through the G-Cloud framework.

Intelogy Data & AI Azure

Featured Microsoft Foundry Case Study

Custom Copilot for Press Office solution

As Press Office Solutions’ development partner, Intelogy extended its COLIN media-management platform with a custom generative AI capability built using Microsoft Foundry. Integrated into existing workflows, COLIN Copilot uses trusted content held within each customer’s environment to draft responses to journalist enquiries, potential Q&As, press releases, statements and reactive lines, with options to tailor output for the organisation’s tone and audience. Generated content remains subject to human review and editing, helping press teams respond faster and communicate more consistently under pressure.

What we delivered:

  • Secure Azure OpenAI integration within the COLIN media management platform
  • AI-assisted responses to press enquiries, grounded in COLIN’s historical data and interactions
  • Generative Q&A to help press officers prepare for media questions
  • Automated drafting of press releases and statements in the organisation’s tone
  • Flexible model upgrades to improve performance and reduce operational costs
Frequently asked questions
When is Microsoft Foundry the right choice?2026-09-21T15:10:47+01:00

Foundry is well suited to AI applications and agents that need pro-code flexibility, model choice, bespoke orchestration, custom integrations, stable endpoints or deeper runtime control. We also assess whether Copilot Studio or another Microsoft route would be simpler.

Can Intelogy advise and build the solution?2026-09-21T15:12:24+01:00

Yes. Engagements can combine use-case discovery, architecture, model and grounding strategy, security and governance with hands-on development, integration, evaluation, deployment and support.

How do you ground AI in organisational knowledge?2026-09-21T15:13:21+01:00

We design and implement retrieval-augmented generation using approved content and data sources. The approach considers source quality, permissions, search and indexing, then measures retrieval and response quality against agreed scenarios.

How do you address AI security and governance?2026-09-21T15:14:04+01:00

We design proportionate controls covering identity, access, networking, data protection, model use, content safety, evaluation, human oversight, auditability and release management.

What happens after an AI solution goes live?2026-09-21T15:15:05+01:00

We can provide monitoring and managed optimisation across answer quality, retrieval, prompts, tools, models, permissions, latency, usage and cost, alongside controlled releases and incident support.

Contact us

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