AI Agent Development Company in Dublin

QServices is not headquartered in Dublin, but we work with Dublin clients across Tech, FinTech, and Pharma on remote AI agent development engagements, with 3 to 4 hours of GMT morning overlap every day. We are a remote-first software consultancy serving Irish businesses that need production AI agents with human-in-the-loop guardrails.

What Dublin buyers typically need from AI agent development

Dublin's regulated industries shape what companies actually ask us to build. The project types we see most often from this city fall into four categories:

• FinTech compliance automation: Agents that process transactions, flag anomalies, and produce audit trails that satisfy Central Bank of Ireland oversight requirements.
• Pharma document workflows: Agents that classify, route, and summarise regulatory submissions or clinical documents, keeping a human reviewer in the loop at every critical decision point.
• Internal productivity agents for Tech companies: Project management bots, support triage agents, and meeting-to-backlog automations for software teams.
• EU GDPR-aware data handling: Every agent we build for EU clients is scoped against GDPR Article 22 on automated decision-making and Central Bank of Ireland guidelines for AI in financial services.

The Central Bank of Ireland's Consumer Protection Code shapes how financial AI agents must present information and escalate to humans. We design human-in-the-loop checkpoints for these requirements at the start of a project, not after the first compliance review catches a gap.

How we work with Dublin clients

Our engineering team is in India (IST, UTC+5:30). Dublin is GMT, which puts a 5.5-hour gap between our standard working hours. In practice, our engineers start early to cover GMT mornings: we are available from 9:00 AM to 12:30 PM GMT for live calls, code reviews, and sprint demos.

Our standard engagement model for Dublin clients includes:

• Weekly video standups on Microsoft Teams or Slack, whichever you already use
• Async updates posted to a shared channel before your working day starts
• Pull request reviews with same-day turnaround during the morning overlap window
• Sprint demos every two weeks, recorded for stakeholders who cannot join live

On-site visits to Dublin are possible for milestone reviews, subject to agreed travel costs. Most clients find the async-first model works without them, but we will travel if the project needs it.

Relevant work in similar markets

We do not have a current Dublin client to name here. What we can point to is work in industries that directly match Dublin's primary sectors.

For a wealth management and legacy planning platform, we built an AI investment chatbot using Microsoft Copilot Studio and the Nasdaq API. The agent delivers ML-powered stock predictions, investment recommendations based on user amount, and legacy sharing with nominees and charity management in one interface. This is directly relevant to Dublin's FinTech sector.

For an IT services company, we built an AI project management bot that captures meeting transcripts via Fireflies.ai, creates Azure DevOps backlog items with Fibonacci story points, and surfaces sprint velocity dashboards in Power BI, replacing manual task allocation. This maps to Dublin's Tech sector.

Both projects used Azure AI Foundry, Power Automate, and Microsoft Copilot Studio, the same stack we bring to a Dublin engagement.

What AI agent development costs for a typical Dublin project

Our pricing is in USD. EUR conversion happens at the rate on invoice date. A typical Dublin engagement falls in one of these brackets:

• Small scope ($15,000–$40,000): Single-purpose agent (document triage, FAQ bot, meeting-to-backlog), one or two integrations, HITL review layer, 6–8 weeks to production.
• Medium scope ($40,000–$85,000): Multi-step agent with 2–4 system integrations, production evaluation harness, compliance review, 8–12 weeks.
• Regulatory overhead: Add 15–25% if the project falls under GDPR Article 22 automated decision-making rules or Central Bank of Ireland compliance scope. This covers the additional HITL design work and documentation that regulated projects require.

See the full breakdown on our AI agent development cost page.

How to start working with us

Starting a project takes three steps:

1. Discovery call (30 min): We ask about your use case, current systems, and compliance constraints. You get a plain-English view of what is and is not feasible for your timeline and budget.
2. Scoping document: We write a one-page scope covering deliverables, integrations, timeline, and cost range. No commitment required at this stage.
3. Project start: Once scope is agreed, we set up the shared workspace, assign the team, and begin sprint one within five business days.

Can you work with Dublin companies remotely?

Yes. All of our client engagements are remote. Dublin is GMT; our team is IST (UTC+5:30), giving you 3–4 hours of live overlap each morning. We use Microsoft Teams or Slack depending on your preference.

For data residency, we deploy on Azure EU regions (West Europe or North Europe) for all EU client data to satisfy EU GDPR requirements. For Dublin FinTech projects, we design HITL checkpoints aligned with Central Bank of Ireland guidelines before any code is written. If your project involves automated financial decisions, we scope GDPR Article 22 compliance into the design phase, not the sign-off phase.

If you are evaluating providers by industry, see our AI agent development for FinTech page for more detail on how we approach regulated financial workflows.