AI and digital transformation

A practical plan for AI and digital investment.

We help pharma, healthcare, IT and growing businesses assess digital and AI opportunities. Our work can include a prioritised roadmap, a business case and a governance approach, with scope and deliverables agreed at the start.

DataUse casesPeopleGovernanceProcessValueAI

Why it matters

Where organisations stand today.

  • 57.7%

    of large Irish enterprises used AI in 2025, against 20.2% of all enterprises.

  • 71%

    of EU enterprises that considered AI but did not adopt it cited a lack of relevant expertise.

  • 6%

    of organisations are AI high performers, attributing at least 5% of earnings to AI.

Sources: CSO, Information Society Statistics: Enterprises 2025 (February 2026); Eurostat, Use of artificial intelligence in enterprises (December 2025); McKinsey, The state of AI in 2026 (August 2026).

What we deliver

Clear decisions, documented.

Explore the services, deliverables and expected benefits below.

AI strategy consultancy

We help leadership teams prioritise AI and digital opportunities around business goals, existing workflows, feasibility and risk. Recommendations include the rationale, dependencies and measures of success.

What you get

  • Use cases mapped to real workflows and scored for value, feasibility and risk
  • A phased roadmap with owners, dependencies and measures of success
  • A business case your leadership can test and approve
  • An independent view of tools and vendors, with the trade-offs explained

How this helps

A plan your organisation can act on, with clear priorities instead of a long list of pilots.

AI readiness and governance

We review data, processes, people and controls before wider AI adoption, then recommend the governance and practical steps needed for the proposed use cases.

What you get

  • A readiness assessment across data, process, people and controls
  • A governance model covering review, approval, data protection and risk
  • Use-case assessment with your legal and compliance teams to identify relevant AI requirements, roles and documentation
  • Policies and guidance written for the people who will use them

How this helps

AI used with confidence, and a clear record of how decisions are made and checked.

Process improvement

AI and digital tools work best on a sound process. We map how work really flows today, find the delay, rework and hand-offs, and design a better way of working before anything is automated.

What you get

  • Current process maps built with the people who do the work
  • The causes of delay, rework and errors, and where they hurt most
  • A target process with clear roles, steps and controls
  • A shortlist of improvements and automation opportunities, in order of value

How this helps

A clearer target process and a prioritised plan for improvements and suitable automation.

Business and technology architecture

We map operating models, systems and data flows, then recommend a sequence of changes that accounts for current operations and dependencies.

What you get

  • A target operating model showing who does what
  • Current and target views of systems, integrations and data flows
  • Architecture principles and decisions recorded for future teams
  • A transition plan that sequences change and manages risk

How this helps

Technology choices that fit together and support the business for the long term.

Discovery and strategy workshops

Facilitated sessions that bring the right people together to agree problems, priorities and next steps. We prepare in advance, so the time in the room is spent on decisions.

What you get

  • Stakeholder interviews and pre-reading to frame the session
  • Facilitated workshops, on site or online
  • A written record of decisions, actions and open questions
  • Recommended next steps with an outline scope

How this helps

Shared understanding across teams, and agreement on where to start.

The Glyz AI Framework

Six phases, from assessment to maturity.

A structured approach to assessing, planning, introducing and improving AI use. The phases are adapted to the organisation and intended use.

  1. 01 · Assess

    Understand before committing

  2. 02 · Align

    Strategy tied to outcomes

  3. 03 · Architect

    Infrastructure for the long term

  4. 04 · Activate

    Controlled, sequenced rollout

  5. 05 · Adopt

    Teams that use it confidently

  6. 06 · Advance

    Continuous improvement

Where it applies

Where AI is creating value in regulated work.

We assess use cases against your workflows, available evidence, delivery requirements and relevant constraints.

  • Medical and promotional content support, with defined review and approval steps
  • Personalised HCP engagement across digital channels
  • Knowledge management and document search
  • Regulatory document classification and version control
  • Commercial analytics and market access insight
  • Meeting summaries, reporting and internal communications

Questions

Common questions.

How long does an AI readiness assessment take?

It depends on the scope and the number of teams involved. We agree the timeline and deliverables in writing before we start.

Do you recommend specific AI tools or vendors?

We are independent of software vendors. We recommend what fits your requirements, existing systems and governance, and we explain the trade-offs.

How do you handle the EU AI Act?

We work with your legal and compliance teams to identify relevant requirements for the proposed use cases, including responsibilities, review and documentation. We do not provide legal advice.

Start with an AI readiness snapshot.

A focused review of potential use cases, organisational readiness and governance priorities, with agreed deliverables.

Discuss your strategy