Azure AI Foundry Implementation Company in Dublin

QServices is a remote-first software consultancy that builds Azure AI Foundry applications for companies in Dublin. We are not based in Ireland, but we serve Tech, FinTech, and Pharma clients across Leinster with GMT morning overlap each day.

What Dublin buyers typically need from Azure AI Foundry implementation

Dublin sits at the intersection of European tech investment and strict regulatory oversight. Companies here face a specific set of demands when scoping an Azure AI Foundry project:

• FinTech compliance tooling: Automated decision systems that satisfy Central Bank of Ireland operational risk requirements and EU GDPR data-processing obligations. Explainability is not optional in regulated financial services.
• Pharma document intelligence: Retrieval-augmented generation over clinical documentation, trial data, and regulatory submissions, with full audit trails that satisfy EU regulatory expectations.
• Tech product AI features: SaaS companies embedding AI search, copilot assistants, or automated workflows into existing Azure-hosted products, often with multi-tenant data isolation requirements.
• Evaluation and observability from day one: Azure AI Foundry's built-in evaluation harness matters here because Irish financial regulators and the European AI Act expect accountability on AI-driven decisions.
• EU data residency: GDPR requires personal data to stay within the EU. Azure's West Europe and North Europe regions cover this. We configure all deployments to match your data residency obligations and document the data flows under GDPR Article 30.

The Central Bank of Ireland has published guidance on operational resilience and third-party technology arrangements. Any AI system touching customer financial data needs a clear governance record. Our Human-in-the-Loop (HITL) model provides that record at every stage, from prompt design through production monitoring.

How we work with Dublin clients

Our team is based in India (IST, UTC+5:30). Dublin operates on GMT. That gives us a four to five hour overlap window each morning before noon GMT, which covers daily standups, design reviews, and ad hoc calls during the Irish business day. In the summer months, when Ireland moves to IST (UTC+1), the overlap window shifts slightly but remains workable.

A typical engagement runs like this: weekly video standups on Teams or Zoom, async updates in a shared Slack or Teams channel, code reviews on GitHub with documented pull request comments, and a product demo every two weeks against a shared staging environment. Your team can test directly before each sprint closes rather than waiting for a release.

On-site visits to Dublin are available for major milestone reviews if your project requires in-person sessions. For most clients, the written-first approach works well. Sprint plans, architecture decisions, security controls, and deployment runbooks are all documented in writing before we build anything. You are never dependent on a phone call to understand what was decided.

We bill in USD. Invoices are straightforward. Currency conversion to EUR is managed on your side.

Relevant work in similar markets

We do not have a published case study from a Dublin-based client. Our closest relevant work is with SaaS and enterprise software companies in regulated environments, which maps directly to Dublin's Tech and FinTech sectors. Both projects below used Azure AI Foundry as a core component.

For an IT services company, we built an AI Project Management assistant on Azure AI Foundry and Azure AI Search, integrated with Azure DevOps, MS Teams, and Microsoft Graph API. The system automated meeting transcript capture, backlog creation with Fibonacci story points, and sprint velocity dashboards in Power BI. This replaced manual note-taking and task allocation entirely. The same pattern applies to any Dublin tech company with Azure DevOps and Teams in place.

For an enterprise software company, we built a knowledge management bot using Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, and GPT-4o. It handles document-specific queries and general knowledge questions from a single assistant. Dublin FinTech and Pharma teams with large internal policy and compliance document libraries face the same challenge this project solved.

What Azure AI Foundry costs for a typical Dublin project

Our rates are in USD. A typical Azure AI Foundry engagement for a Dublin company falls in these ranges:

• Small scope ($25,000 to $40,000): Proof of concept, one use case, Azure OpenAI and Azure AI Search integration, basic evaluation setup. 8 to 12 weeks. Suitable for a single internal tool or a scoped copilot feature.
• Medium scope ($40,000 to $80,000): Production-ready application with evaluation harness, one or two system integrations, GDPR-aligned data handling and logging. 10 to 16 weeks.
• Large scope ($80,000 to $120,000): Multi-use-case platform, full observability, compliance documentation, multiple Azure service integrations. 14 to 20 weeks.

For FinTech or Pharma projects with Central Bank of Ireland or GDPR compliance scope, add 15 to 25 percent for regulatory overhead. Each non-trivial system integration adds $3,000 to $12,000. A production-grade evaluation harness adds $5,000 to $15,000 if not already in scope. Azure consumption costs are separate and depend on usage volume; we flag this early in scoping because underestimating Azure costs at scale is one of the common mistakes on Foundry projects.

See our full Azure AI Foundry cost guide for a detailed breakdown by project type.

How to start working with us

Three steps:

1. Discovery call (30 minutes): We review your use case, existing Azure setup, and compliance requirements. This call is free and has no obligation.
2. Scoping document: We produce a written scope with timeline, team size, and cost range within 3 to 5 business days after the call.
3. Project start: Once scope is agreed and a contract is signed, we begin sprint planning and kick off within two weeks.

Use the form below to book a discovery call. We reply within one business day, GMT time.

Can you work with Dublin companies remotely?

Yes. We work with Irish clients entirely remotely. Our team overlaps with GMT mornings from approximately 8:30 AM to 1:00 PM Dublin time, which covers standups, live reviews, and real-time decisions during your working day. We use Teams or Slack for communication, GitHub for version control and code review, and shared staging environments for demos and testing.

For GDPR compliance, we configure Azure AI Foundry deployments in EU-resident regions (West Europe or North Europe) and document data flows as required under GDPR Article 30. Personal data does not leave the EU unless your use case requires it and a lawful basis for transfer is in place. For clients subject to Central Bank of Ireland oversight, we include HITL governance documentation as a standard project deliverable.