AI consulting in Dublin is less about bold promises and more about how work actually gets done. Behind the scenes, there is a wide range of teams offering different approaches - some deeply technical, others more advisory, and many sitting somewhere in between. That variety matters, because no two companies arrive with the same data maturity, risk tolerance, or internal skills.

The companies covered in this article reflect that spread. Some focus on building and integrating models into existing systems. Others concentrate on strategy, governance, or getting teams ready to use AI without breaking workflows. Looking at them side by side makes it easier to see where each approach fits, what kind of engagement it implies, and which type of partner makes sense depending on the problem at hand.

 

1. OSKI

OSKI works as a software development and consulting team in a wide range of locations including Dublin, with a strong focus on structured delivery and system reliability. Our work spans cloud infrastructure, frontend development, and AI integrations, with an emphasis on how these pieces fit together in production environments. Rather than treating AI as a standalone capability, we approach it as part of broader software systems that need to be deployed, maintained, and adjusted over time.

Their AI-related work sits alongside cloud and DevOps practices, which shapes how solutions are built and operated. Machine learning, language models, and expert systems are integrated into existing platforms rather than developed in isolation. Across industries like education, logistics, retail, and energy, the focus stays on practical implementation, clear architecture, and long-term maintainability rather than experimentation for its own sake.

Key Highlights:

• Focus on well-structured software systems with long-term support in mind
• AI integrations developed as part of broader cloud and application architectures
• Experience working across multiple industries with similar operational patterns
• Emphasis on deployment, maintenance, and process stability

Services:

• AI integrations and applied machine learning
• Cloud solutions including serverless and hybrid setups
• DevOps and CI/CD implementation
• Frontend and web application development
• API integration and system management

Contacts:

• Website: oski.site
• E-mail: contact@oski.site
• LinkedIn: www.linkedin.com/company/oski-solutions
• Address: Kaupmehe tn 7, 10114 Tallinn, Estonia
• Phone: +48571282759

 

 

 

 

2. Clearlead AI

Clearlead AI approaches consulting through early-stage analysis and decision support, often engaging before any technical build begins. Work commonly starts with assessing feasibility, defining value, and clarifying risk, which reflects the uncertainty many organisations face when exploring AI adoption for the first time.

Technical services cover machine learning, large language models, data science, and natural language processing, with most projects grounded in operational use cases. Delivery tends to stay close to business processes, aligning technical choices with existing workflows and internal capabilities. Senior expertise remains involved throughout strategy definition, development, and implementation.

Key Highlights:

• Early focus on feasibility and practical value
• Applied use of AI within operational contexts
• Alignment of technical work with business constraints
• Consistent senior involvement across engagements

Services:

• AI and machine learning consulting
• Large language model and generative AI solutions
• Data science and analytics
• Natural language processing
• AI strategy and research support

Contacts:

• Website: www.clearlead.ai
• E-mail: info@clearlead.ai
• LinkedIn: www.linkedin.com/company/clearlead-ai-consulting
• Twitter: x.com/clearleadai

 

3. Ernst & Young (EY)

At EY, AI is seen as part of a larger transformation strategy. They don’t treat AI as a standalone project; instead, it’s integrated with broader operations, focusing on automation, insight generation, and improving business performance. Their approach to AI consulting goes beyond the technical, combining strategy, risk management, and systems integration to ensure a holistic solution.

What makes EY stand out is how they address the complexities of AI at scale, especially for large enterprises. The work isn’t just about deploying AI; it’s about reshaping how organisations operate, make decisions, and manage change across departments. Trust, compliance, and governance are central to their strategy, ensuring that AI adoption aligns with business goals and regulatory requirements.

Key Highlights:

• AI as part of a broader organisational transformation
• Integration of AI with risk management, compliance, and governance
• Focus on real-world, scalable solutions for large enterprises
• Deep experience working across diverse industries and functions

Services:

• AI and intelligent automation consulting
• Data transformation and strategic analytics
• Digital transformation and systems integration
• AI strategy and governance advisory
• Risk management and trust-building for AI systems

Contacts:

• Website: www.ey.com
• Instagram: www.instagram.com/ey.ireland
• LinkedIn: www.linkedin.com/company/ernstandyoung
• Twitter: x.com/EYnews
• Facebook: www.facebook.com/EY
• Address: EY Building, Harcourt Centre, Harcourt Street, Dublin 2
• Phone: +35314750555

 

4. Artellis

Artellis frames AI adoption around governance, trust, and long-term control. Consulting work focuses on readiness, strategy, and structured deployment, particularly where compliance and ethical considerations shape how systems can be used. AI is approached as a capability that requires oversight, training, and clear operating boundaries.

Rather than diving straight into development, Artellis starts with assessments of readiness and AI maturity. Their consultancy ensures that businesses are not only ready for AI but also equipped to use it responsibly. From there, they work on building intelligent agent-based workflows to automate decision-making and optimize business processes.

Key Highlights:

• AI consulting rooted in governance and responsible use
• Early focus on readiness assessments and strategic AI roadmapping
• Expertise in designing adaptive agent-based workflows
• Ethical AI design and certification programs

Services:

• AI consultancy and strategy
• AI readiness and maturity assessments
• Agent-based workflow design
• AI governance, risk, and compliance training
• Security certification for AI systems

Contacts:

• Website: www.artellis.ie
• LinkedIn: www.linkedin.com/company/artellis
• Address: Artellis Rathfarnham, Dublin 14
• Phone: 019640650

 

5. McKinsey

McKinsey delivers AI consulting through its QuantumBlack practice, where data science and engineering are combined with strategic consulting. Most work is embedded within wider transformation efforts, addressing how organisations operate, scale, and make decisions. AI is positioned as part of hybrid systems that blend automated models with human judgement.

Rather than focusing on individual use cases, projects often target foundational data platforms and operating models. Delivery is supported by internal tooling and a broad ecosystem of technology partners. This allows AI initiatives to extend across departments and evolve alongside organisational change.

Key Highlights:

• AI integrated with enterprise strategy and operations
• Focus on hybrid decision systems combining people and models
• Strong internal engineering and analytics capabilities
• Experience scaling AI across large organisations

Services:

• AI and advanced analytics consulting
• Data transformation and platform development
• Generative AI and agent-based systems
• Digital twins and simulation models
• AI-driven operating model design

Contacts:

• Website: www.mckinsey.com
• LinkedIn: www.linkedin.com/company/mckinsey
• Twitter: x.com/McKinsey
• Facebook: www.facebook.com/mckinsey
• Address: 5th floor, 2 Grand Parade, Ranelagh, Dublin 6, D06 CX34, Ireland
• Phone: +353 (1) 478 5500

 

6. Cozmotec

Cozmotec combines AI consultancy with hands-on development, following a structured path from discovery through deployment. Engagements usually begin with planning and data analysis before moving into model development, testing, and system integration. AI solutions are designed to fit within existing environments rather than replace established workflows.

Alongside development work, training and ongoing support form part of delivery. Machine learning and natural language processing are applied to automation, analysis, and operational decision support. Maintenance and enablement are treated as ongoing responsibilities, not post-project extras.

Key Highlights:

• Structured delivery from planning to deployment
• Custom AI applications tailored to existing systems
• Emphasis on testing, validation, and integration
• Ongoing support and client enablement

Services:

• AI consultancy and feasibility planning
• Custom AI and ML application development
• AI integration into existing systems
• Natural language processing solutions
• Training, support, and maintenance

Contacts:

• Website: cozmotec.ie
• E-mail: info@cozmotec.ie
• Instagram: www.instagram.com/cozmo.tec
• LinkedIn: www.linkedin.com/company/cozmotec
• Twitter: x.com/CozmoTechnology
• Facebook: www.facebook.com/CozmoTec
• Phone: +353(0)18084193

 

7. Version 1

Version 1 approaches AI as something that has to live comfortably inside an organisation, not sit on top of it. Their work usually starts with a close look at how teams operate, how data moves, and where friction already exists. Only then does AI enter the picture, often as a way to reduce manual effort or improve decision flow rather than overhaul everything at once.

Much of their AI consulting is tied to broader change programmes that include cloud, data governance, and enterprise systems. That context shapes how solutions are delivered. Prototypes are expected to mature into production systems, supported by clear processes and ownership. The emphasis stays on control, compliance, and long-term use, especially in complex environments like public sector and financial services.

Key Highlights:

• AI introduced as part of wider transformation work
• Focus on production-ready systems, not isolated pilots
• Strong link between AI, data governance, and cloud platforms
• Attention to organisational fit and operational impact

Services:

• AI strategy and implementation
• Intelligent automation
• Data platforms and governance
• Cloud transformation
• Enterprise application modernisation

Contacts:

• Website: www.version1.com
• Instagram: www.instagram.com/version1group
• LinkedIn: www.linkedin.com/company/version-1
• Twitter: x.com/version1
• Facebook: www.facebook.com/Version1Group
• Address: Millennium House, Millennium Walkway, Dublin 1, D01 F5P8, Ireland
• Phone: +353 1 865 7800

 

8. SpeedMVPs

SpeedMVPs works at a faster tempo than most consultancies. Their AI consulting is closely tied to building things quickly and seeing how they behave in the real world. Ideas are shaped into working products early, with less time spent on theory and more on execution.

That approach suits teams testing new products or adding AI features to existing software. Strategy, design, and development tend to overlap, rather than happening in strict phases. The goal is usually clarity through use - get something in front of users, learn from it, then improve. AI is treated as a practical capability, not a long-term research project.

Key Highlights:

• Fast-moving, build-first approach
• AI consulting combined with direct product delivery
• Strong focus on MVPs and early validation
• Suited to startups and product-led teams

Services:

• AI consulting and technical planning
• AI-powered MVP development
• AI integration into existing products
• Custom automation tools
• Application and enterprise software development

Contacts:

• Website: speedmvps.com
• E-mail: diyanshu@speedmvps.com
• Instagram: www.instagram.com/speedmvps
• LinkedIn: www.linkedin.com/company/speed-mvps
• Twitter: x.com/speedmvps
• Facebook: www.facebook.com/speedmvps
• Address: Speed AI Labs LLP, JB Tower, Thaltej, Ahmedabad, GJ 380060
• Phone: +91 73839 35292

 

9. Zartis

Zartis treats AI adoption as a process that needs structure from the start. Consulting work often begins with understanding where AI can realistically help and where it might introduce unnecessary risk. From there, strategy and implementation move forward together, with regular checkpoints around security, compliance, and maintainability.

A noticeable share of their work involves AI agents, chatbots, and internal assistants. These systems are designed to take pressure off operational teams rather than replace them. Industry context matters here. Solutions are shaped around how specific sectors work, not around generic AI patterns lifted from elsewhere.

Key Highlights:

• Step-by-step AI adoption model
• Strong focus on AI agents and assistants
• Attention to security, ethics, and compliance
• Industry-aware design choices

Services:

• AI strategy and roadmap development
• AI agents and chatbot solutions
• AI consulting and implementation
• Workflow and operational automation
• Secure AI system design

Contacts:

• Website: www.zartis.com
• Instagram: www.instagram.com/teamzartis
• LinkedIn: www.linkedin.com/company/zartis
• Address: 1 Horgan’s Quay, T23 PPT8, Cork, Ireland

 

10. ShamrockAI

ShamrockAI keeps its AI consulting tightly focused on everyday business operations. Projects are usually framed around specific problems such as reporting delays, manual processes, or disconnected data. The aim is not broad transformation, but visible improvement in how work gets done.

Much of the work sits in analytics, automation, and system integration. AI is used to clean up data flows, speed up reporting, and support decision-making without adding complexity. Delivery stays practical, with close attention to how solutions are used day to day, not just how they look on paper.

Key Highlights:

• Operational, problem-driven AI consulting
• Strong focus on analytics and reporting automation
• Clear scope and defined use cases
• Practical integration into existing systems

Services:

• AI strategy consulting
• Process automation
• Data intelligence and analytics
• System integration
• AI-supported reporting

Contacts:

• Website: www.shamrockai.ie
• LinkedIn: www.linkedin.com/company/aishamrock
• Twitter: x.com/AIShamrock
• Address:  Coolmine Industrial Estate, Dublin 15

 

11. FTI Consulting

FTI Consulting approaches AI in environments where mistakes are costly and scrutiny is high. Their AI work often sits alongside legal, regulatory, and operational concerns, which shapes how solutions are planned and delivered. Technology is only one part of the picture.

AI is applied to areas such as investigations, risk analysis, and large-scale decision support. Governance, transparency, and accountability are built into the process from the beginning. Rather than chasing novelty, the focus stays on reliability and defensibility, especially in regulated industries and high-stakes situations.

Key Highlights:

• AI consulting shaped by risk and regulation
• Strong focus on governance and oversight
• Applied use of AI in complex environments
• Integration of technical and advisory expertise

Services:

• AI strategy and value planning
• AI solution and product development
• Data and architecture transformation
• Responsible AI and risk advisory
• AI-enabled investigations and analytics

Contacts:

• Website: www.fticonsulting.com
• E-mail: socialmedia@fticonsulting.com
• Instagram: www.instagram.com/lifeatfti
• LinkedIn: www.linkedin.com/company/fti-consulting
• Facebook: www.facebook.com/FTIConsultingInc
• Address: The Academy, Suites 2A & 2B, 42 Pearse Street, Dublin 2, Ireland
• Phone: +353 1 765 0800

 

12. Bell Integration

Bell Integration delivers AI consulting through large, cross-functional teams rather than individual specialists. That structure reflects the reality of enterprise AI programmes, where strategy, data, engineering, deployment, and support all need to move together.

A significant part of their work focuses on conversational AI, automation, and platform-agnostic design. Solutions are selected based on the problem, not locked to a single vendor or model. Long-term operation matters here. Retraining, governance, and support are treated as ongoing responsibilities, not optional extras.

Key Highlights:

• Team-based AI consulting model
• Strong emphasis on conversational AI
• Platform-agnostic approach
• Focus on governance, retraining, and long-term support

Services:

• AI discovery and readiness assessment
• AI and conversational AI strategy
• AI development and deployment
• Automation and orchestration
• AI governance and managed services

Contacts:

• Website: www.bell-integration.com
• E-mail: pr@bell-integration.com
• Instagram: www.instagram.com/bellintegration
• LinkedIn: www.linkedin.com/company/bell-integration
• Twitter: x.com/BellIntegration
• Address: WeWork 10 York Road, London, SE1 7ND
• Phone: +44 2392 825925

 

13. Gemmo AI

Gemmo works almost exclusively with financial services, and that focus shows in how their AI work is shaped. Instead of starting with models or tooling, conversations usually begin with use cases, controls, and risk boundaries. AI agents are introduced only where they can be governed, audited, and explained after deployment, not just during design.

A large part of Gemmo’s work sits in the space many teams struggle with most - what happens after AI goes live. Ongoing oversight, change management, and staff adoption are treated as core parts of delivery. Rather than replacing decision-makers, their systems are built to support analysts, compliance teams, and operational staff, keeping humans firmly in the loop.

Key Highlights:

• Strong focus on AI agents for financial services
• Emphasis on governance, auditability, and compliance
• Attention to post-deployment control and risk
• Human-in-the-loop approach to AI adoption

Services:

• AI opportunity discovery and prioritisation
• AI agent implementation
• AI governance and optimisation
• Change management and AI training
• Ongoing AI system support

Contacts:

• Website: gemmo.ai
• E-mail: info@gemmo.com
• LinkedIn: www.linkedin.com/company/gemmoai
• Address: 77, John Rogerson’s Quay, Block C, Dublin, D02 VK60

 

14. Tranquilist AI Consulting

Tranquilist positions itself early in the AI decision cycle, often before any build work begins. The focus is on helping teams decide whether AI is even the right move, and if so, where it makes sense to start. Much of the work is about slowing things down just enough to avoid costly missteps.

Their consulting leans toward analysis, validation, and risk assessment. Proofs of concept are used as learning tools rather than commitments. Data readiness, feasibility, and alignment with business goals tend to take priority over speed. The tone stays cautious by design, shaped by the belief that not every problem needs an AI solution.

Key Highlights:

• Early-stage AI suitability and risk analysis
• Strong emphasis on validation before investment
• Focus on avoiding unnecessary AI spend
• Practical framing of AI as one option among many

Services:

• AI suitability analysis
• AI and data risk assessment
• Proof of concept testing
• Data strategy development
• Early-stage AI advisory

Contacts:

• Website: www.tranquilist.ie
• E-mail: consult@tranquilist.ie
• LinkedIn: www.linkedin.com/company/tranquilist-ai-consulting
• Address: Ground floor, 71 Lower Baggot Street, Dublin, D02 P593, Ireland

 

15. AI Strategy & Training Ltd.

AI Strategy & Training works primarily with smaller organisations trying to make sense of generative AI without getting overwhelmed. The consulting style is direct and educational, often centred on turning abstract AI concepts into clear steps teams can actually follow.

A significant part of their work revolves around planning, governance, and internal enablement. Instead of pushing rapid deployment, they focus on strategy, ethical use, and staff training. AI tools are introduced through existing workflows, with attention to compliance and long-term ownership rather than quick wins.

Key Highlights:

• Focus on AI strategy and internal readiness
• Strong emphasis on ethical and compliant AI use
• Plain-language approach to complex topics
• Training-led adoption model

Services:

• AI strategy and roadmap development
• Ethical AI and governance guidance
• Generative AI implementation
• Team training and upskilling
• Workflow and knowledge preparation

Contacts:

• Website: aistrategy.ie 
• LinkedIn: www.linkedin.com/company/ai-consultants-ie

 

16. IBM Consulting

IBM Consulting approaches AI at enterprise scale, where alignment, security, and governance shape every decision. Their work usually starts with architecture and data foundations, recognising that AI systems only perform as well as the structures around them.

Agentic AI, automation, and analytics are delivered alongside governance frameworks designed to support trust and explainability. Rather than treating AI as a standalone programme, it is woven into business operations, IT, and risk management. The result is a slower but more durable form of adoption, built for organisations that need consistency across teams and regions.

Key Highlights:

• Enterprise-focused AI consulting
• Strong emphasis on responsible and trustworthy AI
• Integration of AI with data, security, and governance
• Experience supporting large, complex organisations

Services:

• AI strategy and governance
• Data services and AI architecture
• Agentic AI and automation
• AI use case implementation

Contacts:

• Website: www.ibm.com
• E-mail: ibmenquire@ie.ibm.com
• Instagram: www.instagram.com/ibm
• LinkedIn: www.linkedin.com/company/ibm
• Twitter: x.com/ibm
• Address: IBM, WeWork Block D, 2nd Floor Charlemont Exchange, Charlemont St, Saint Kevin's, Dublin, D02 VN88
• Phone: +353-1-815-4000

Conclusion

AI consulting in Dublin doesn’t follow a single playbook, and that’s part of its strength. Some teams lean heavily into governance and risk, others move faster and learn by building, and many sit somewhere in between. What connects them is a shared awareness that AI only works when it fits the reality of how organisations actually operate.

Across the city, the conversation has shifted away from whether AI should be used at all. The more common questions are about timing, scope, and responsibility. When does a pilot become something people rely on. How much control is enough. Who owns the outcome once the system is live. These are practical concerns, and Dublin’s consulting scene tends to treat them that way.

For organisations exploring AI here, the real choice is less about tools and more about approach. Some situations call for caution and structure, others benefit from speed and iteration. The value comes from matching that approach to the problem, not forcing the problem to fit the technology. That mindset, more than any specific method, is what defines how AI consulting is taking shape in Dublin.