AI Governance Consulting Company in Dublin

We are not headquartered in Dublin, but we work with Dublin clients across Tech, FinTech, and Pharma on remote engagements with four to five hours of GMT morning overlap daily. QServices is a remote-first software consultancy serving Irish businesses in regulated industries who need AI governance consulting that works in production, not just on paper.

What Dublin buyers typically need from AI governance consulting

Dublin sits at the intersection of EU financial regulation and a dense concentration of tech and pharma multinationals. That combination creates specific AI governance needs:

• EU AI Act readiness for Tech companies: Multinational tech firms with EU operations need to classify their AI systems, document risk tiers, and build conformity assessments before enforcement deadlines hit.
• Central Bank of Ireland compliance for FinTech firms: Regulated financial firms using AI in credit decisioning, fraud detection, or customer onboarding face CBI expectations around model explainability, audit trails, and human oversight. GDPR's automated decision-making rules under Articles 22 and 71 add a second layer. The Central Bank of Ireland has published guidance on model risk management that directly affects AI deployments in regulated financial services.
• GxP-adjacent AI governance for Pharma: Pharmaceutical firms applying AI to clinical data, quality systems, or supply chain decisions need validation frameworks and change-control processes that fit within existing quality management systems.
• HITL design for scaled operations: Many Dublin teams have built AI workflows where human review is required in theory but unsustainable in practice at volume. We design review workflows that people can actually keep up with.
• Evaluation harnesses and drift monitoring: Shipping an AI system is not the end. Dublin clients in financial services and pharma face ongoing regulatory scrutiny, which means you need automated evaluation that catches model drift before it becomes a compliance event.

How we work with Dublin clients

Our team is based in India (IST, UTC+5:30). Dublin operates on GMT, which means your working day starts roughly five and a half hours behind ours. In practice, your morning from 9am to around 1:30pm GMT overlaps with our afternoon, giving us four to five hours of live collaboration time each day. That is enough for daily standups, design reviews, and ad-hoc questions without either side working unsociable hours.

Here is what a typical engagement looks like:

• Weekly standups at 9:30am GMT (3pm IST), recorded for team members who cannot attend live.
• Async daily updates via Slack or Microsoft Teams by 8am GMT, so your team starts the day with visibility on progress.
• Fortnightly sprint demos via video call, with written summaries posted the same day.
• On-site visits for project kickoff or governance framework sign-off when a face-to-face session matters. We do not promise routine travel, but we can arrange it for significant milestones.

We default to Microsoft Teams for enterprise clients, which works well with Dublin's financial services and tech firms already on the Microsoft stack. All project artifacts live in a shared repository your team controls from day one.

Relevant work in similar markets

We do not have a published case study from a Dublin client. We think that is worth saying directly.

What we do have is production delivery experience in the industries that define Dublin's economy:

• FinTech: We have built AI governance frameworks for financial services clients facing regulatory oversight comparable to the CBI, including audit logging, model explainability outputs, and HITL checkpoints in credit and fraud workflows.
• Tech: We have designed evaluation harnesses and policy frameworks for software companies operating under EU data regulations, including GDPR-compliant data handling in AI pipelines.
• Pharma: We have experience with validation-adjacent AI governance in regulated product environments. Our deepest pharma delivery work is in India-based operations rather than EMA-facing regulatory programs, and we say that upfront.

If you want references from engagements in comparable regulatory contexts, we can arrange introductions under NDA. We also cover AI governance for FinTech in detail if your primary concern is financial services compliance.

What AI governance consulting costs for a typical Dublin project

Engagements are priced in USD. EUR conversion is your team's call; we do not adjust rates for currency fluctuations. Typical scope brackets:

• Small scope ($15,000-$30,000): Framework audit, gap assessment, HITL design review, and written governance policy for a single AI system. Typically 4-6 weeks.
• Medium scope ($30,000-$60,000): Full governance framework design, HITL workflow implementation, evaluation harness setup, and staff documentation. Typically 8-12 weeks.
• Larger scope ($60,000-$90,000): Multi-system governance, ongoing drift monitoring setup, compliance review preparation, and integration with existing audit processes. Typically 10-16 weeks.

Dublin clients under Central Bank of Ireland oversight or with GDPR automated-decision obligations should add 15-25% for the compliance documentation and review cycles those regimes require. An AI evaluation harness adds $5,000-$15,000 to any scope. See the full AI governance consulting pricing breakdown for detail.

How to start working with us

Three steps to get a project moving:

1. Discovery call (30 minutes): We ask about your AI systems, your regulatory context, and what governance gaps you are trying to close. No pitch, no deck.
2. Scoping document: Within five business days we send a written scope covering deliverables, timeline, and a fixed or capped price.
3. Project start: Once the scope is agreed, we start within two weeks.

Do you work with Dublin companies remotely?

Yes, and we do not have a Dublin office. Our entire model is remote-first. Dublin clients work with us the same way our other EU clients do: async communication via Slack or Teams, weekly video calls during GMT morning hours, and shared access to all project repositories and documentation from day one.

For data residency, AI governance engagements typically involve policy documents and framework design rather than processing your production data. Where we work with data samples for evaluation harness setup, we agree on handling protocols upfront and scope the work to comply with GDPR. The Data Protection Commission Ireland sets the standard we work to for any engagement involving personal data under Irish law.