Azure AI Foundry Implementation Company in Dublin

QServices is an Azure AI Foundry implementation company serving Dublin clients remotely. We are not headquartered in Dublin, but we work with Irish businesses in Tech, FinTech, and Pharma on remote engagements with four hours of GMT morning overlap daily.

What Dublin buyers typically need from Azure AI Foundry

Dublin's position as the EU headquarters for many US technology companies, combined with its regulated FinTech sector and active pharma industry, shapes what Azure AI Foundry projects actually look like here. The platform is not just a wrapper around Azure OpenAI; it adds model evaluation, prompt flow management, and observability that regulated sectors require.

Common project types across Dublin's primary industries:

• FinTech (regulated under the Central Bank of Ireland and EU GDPR): AI assistants for compliance document processing, automated KYC and AML screening workflows, and audit trail generation that satisfies both GDPR data minimisation requirements and Central Bank reporting obligations.
• Tech and SaaS companies: Internal knowledge management systems, AI-assisted DevOps tooling, and customer-facing intelligent search products built on Azure AI Search and GPT-4o deployed through Foundry.
• Pharma: Document extraction and summarisation for clinical trial and regulatory submissions, with data-residency requirements that keep processing within the EU under GDPR Article 46 transfer mechanisms.

GDPR is the baseline for every engagement we run with Irish clients. If your organisation also falls under DORA (Digital Operational Resilience Act), which applies to financial entities operating in the EU from January 2025, we structure Foundry deployments to support ICT risk reporting and incident response logging. The Central Bank of Ireland publishes specific operational resilience guidance that we review at project kickoff for any FinTech client.

How we work with Dublin clients

Our team is based in India (IST, UTC+5:30). Dublin operates on GMT, which gives us a daily working overlap of roughly 9:00 AM to 1:00 PM Dublin time (2:30 PM to 6:30 PM IST). That four-hour window covers standups, design reviews, and live demos without either side starting at an unusual hour. No 6:00 AM calls, no midnight hand-offs.

In practice, a typical engagement runs like this:

• Daily async updates posted by 9:00 AM Dublin time, covering what shipped the previous day and what is in progress that day.
• Weekly video standups via Microsoft Teams or Slack to review sprint output, surface blockers, and reprioritise.
• Bi-weekly milestone demos with your product owner and any compliance or security stakeholders who need to sign off.
• Pull request reviews on every code change, with documentation maintained in a shared Teams channel or Confluence space your team owns.

We do not have a Dublin office and we do not present one as a selling point. For clients where a face-to-face milestone review is important, we can arrange a visit for project kickoffs or major delivery gates; that cost is agreed upfront and is not a surprise addition.

Relevant work in similar markets

Neither of our completed Azure AI Foundry case studies is from an Irish-headquartered client. Both are from the SaaS and enterprise software sector, which overlaps with Dublin's tech industry. We name that honestly rather than stretch the match.

For an enterprise software company, we built a unified AI assistant using Microsoft Copilot Studio, Azure AI Foundry, Azure AI Search, and GPT-4o. The system handled both document-specific queries and broader general knowledge questions from a single interface, replacing separate search tools with one governed AI layer.

For an IT services company, we built the Smart PM assistant: an Azure AI Foundry integration with Azure DevOps and Microsoft Teams that automated meeting transcript capture, created backlog items with Fibonacci story points, and delivered real-time sprint velocity dashboards in Power BI, replacing manual note capture entirely.

Both projects share the retrieval architecture and evaluation harness that Dublin's regulated buyers need. The Azure AI Search layer, model evaluation setup, and audit logging patterns transfer directly to FinTech and Pharma deployments where GDPR and Central Bank compliance are non-negotiable. If you want a reference call with a client from either engagement, we can arrange that.

What Azure AI Foundry costs for a typical Dublin project

Azure AI Foundry projects with us are priced in USD and typically fall between $25,000 and $120,000 depending on scope. Here is how that maps to typical project sizes:

• Small scope ($25,000–$40,000): A focused AI assistant or single-workflow automation. Roughly 8 weeks, 200–400 hours. Covers Foundry setup, one model deployment, basic evaluation harness.
• Medium scope ($40,000–$80,000): Multi-agent systems or full knowledge management platforms. 10–14 weeks. Includes production-grade evaluation, Azure AI Search integration, and user acceptance testing.
• Large scope ($80,000–$120,000): Enterprise platform deployments with multiple system integrations, compliance documentation, and team handoff. 14–16 weeks.

EU GDPR compliance scope adds roughly 15–25% to the base estimate, covering data flow documentation, lawful basis mapping, and processor agreement review. Engagements subject to Central Bank of Ireland oversight may also require a third-party compliance review, which adds $5,000–$20,000. Azure consumption costs are separate and scale with usage volume; underestimating Azure spend at production scale is one of the three most common problems we see in Foundry projects, and we address it explicitly at the scoping stage.

See our full cost breakdown at Azure AI Foundry pricing. All invoicing is in USD; currency conversion is your responsibility.

How to start working with us

1. Discovery call (30–45 minutes): We learn about your current Azure environment, the problem you are solving, and your compliance context including GDPR scope and any Central Bank of Ireland obligations.
2. Scoping document: Within five business days, we send a written scope covering architecture, timeline, team composition, and cost range. No vague estimates.
3. Project start: Once scope is agreed and a deposit is received, we set up the collaboration environment (Teams or Slack, Azure DevOps or Jira, shared repo) and begin the first sprint.

Use the contact form below to book a discovery call. We respond within one business day, scheduling within the GMT morning overlap window.

Do you work with Dublin companies remotely?

Yes. All our Dublin engagements are fully remote. The daily GMT-IST overlap runs from 9:00 AM to 1:00 PM Dublin time, which is enough for standups, demos, and unblocking decisions without unusual hours on either side. Communication runs on Microsoft Teams or Slack; project tracking uses Azure DevOps boards or Jira.

For EU clients, we deploy Azure AI Foundry workloads in Azure EU regions, specifically West Europe (Amsterdam) or North Europe (Dublin), to keep data processing within the EU and satisfy GDPR data-residency requirements. We document processing bases and data flows at project kickoff as standard. The Data Protection Commission of Ireland is the lead supervisory authority for GDPR in Ireland, and we design deployments with its published guidance in scope.