For Dublin’s business leaders, AI offers opportunities to improve service, productivity and growth. Realising them requires more than another technology programme. Traditional digital transformation often standardises workflows; AI adoption also requires organisations to rethink service delivery, decision-making and accountability as people work alongside AI agents.
People, organisation and process remain essential building blocks, but data and trust underpin the model. Staff need confidence in the tools and permission to challenge outputs. Customers need dependable services, protected information and access to human support. The executive priority is measurable business value, not automation for its own sake.
Start with the service
Start with the outcome customers need, not where an AI assistant could be installed. Map the whole journey, including supporting work, exceptions and handovers, then decide where AI advises, where agents act and where people approve. Faster responses are not an improvement if customers receive inaccurate advice or must repeat their enquiry.
Build verification, escalation and accessible human support into the service. Test it with different customer/user groups and assess the impact and benefits. Use these findings to redesign the service rather than accelerate an ineffective process.
Track cost per outcome
AI costs extend beyond licences. Model choice, information processed and generated and repeated agent activity can affect spending. Evaluate the full cost of delivery: integration, data preparation, governance, monitoring, human review and correction. A low-cost model is poor value if its outputs require extensive rework.
Finance and technology teams should track cost per successfully completed task alongside quality. Set budgets by use case, spending alerts and limits on unattended agent activity. Distinguish time saved from savings realised: released capacity must be redeployed, improve service or reduce expenditure before productivity gains translate into business value.
Treat data sovereignty as a strategic choice
A critical conversation that keeps surfacing is around who controls your data. Data sovereignty is about jurisdiction and control as well as server location. Establish where prompts, documents, outputs and logs are processed, who can access them and whether suppliers may reuse them for training. European hosting alone should not end the assessment.
Procurement should examine retention, subcontractors, security, contractual protections and exit arrangements. Assign owners to critical information and maintain its quality, currency and permissions. Deployment choices should reflect sensitivity: public content and confidential customer records need not follow the same route. AI must not expose information beyond a user’s authorised access, and the AI tool should never have access to data it doesn’t need to do its job.
Design the AI-augmented organisation
Design roles and team structures around employees working alongside AI agents. Define delegated tasks, agent authority, decision rights and a human owner for outcomes. Involve staff in shaping changes to workload and autonomy; use released time for more valuable work, not additional checking without support.
Make training and onboarding role-specific. Cover data handling, output verification, escalation, and importantly the right tool to use for the task. New starters need to understand the team’s AI workflows; managers need support to redesign work and coach adoption.
Innovation teams should assess options before wider rollout, working with business owners, finance, risk specialists and staff. Compare AI with simpler automation or no change. Test quality, employee and customer experience, total cost and risk against a baseline. A successful pilot still needs an operational owner, training, support and monitoring before the business can rely on it.
For Dublin businesses, lasting advantage will come from redesigning how the organisation delivers value and intelligently leveraging AI where it will succeed. Leadership must connect service quality, financial discipline and trust.
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About BearingPoint
BearingPoint is an independent management and technology consultancy with European roots and a global reach. We help businesses transform by combining deep industry expertise with strong capabilities in strategy, operations, and technology. Dedicated SAP and Microsoft transformation units, a strong focus on AI, and outcome-based products enable us to provide tailored, innovative solutions that create measurable and sustainable value.
In addition to our core consulting operations, we run two joint ventures. Arcwide, our joint venture with IFS, specialises in business transformation enabled by IFS technology. BearingPoint North America, our joint venture with ABeam Consulting, focuses on consulting excellence and business transformation built on SAP.
BearingPoint works with many of the world’s leading companies and public-sector organisations. Together with its strategic alliance partner ABeam Consulting, the firm brings together more than 15,000 professionals and serves clients in over 70 countries, delivering seamless business transformation, strengthening performance, and driving sustainable impact.
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Contact:
Claudia Carr
Partner, BearingPoint Ireland
claudia.carr@bearingpoint.com