AI-Assisted Tender Evaluation
Validated that AI can handle the genuine complexity of public tender evaluation, and produced a clear specification of exactly what a full system requires.
AI Strategy
Identify where AI fits, build a credible plan, and put the organisational conditions in place for adoption to take hold.
That includes honest assessment, governance in the roadmap, and the people work that decides whether the plan lands. For hands-on compliance and standing oversight, see AI Governance & Compliance.
Overview
Common types of AI strategy work
Most AI strategy work falls into one of the broad areas below. Each covers a set of specific capabilities listed further down the page.
Identifying where AI fits and what to invest in
The strategic and evaluation work that comes before any build. Where the opportunities are, what each is worth, and which technologies or vendors to bet on.
Some examples
- Strategic AI opportunity assessment and prioritisation
- AI strategy and phased roadmap development
- Technology due diligence for investment or acquisition decisions
Governance built into the plan
Strategy work includes making sure governance is designed in from the start, not bolted on later. For hands-on governance and compliance work, see AI Governance & Compliance.
Some examples
- Governance requirements scoped into the roadmap
- Clear ownership and decision rights for AI programmes
- Pointers to where dedicated governance work is needed
Organisational readiness and adoption
The human dimension of AI. Skills, culture, leadership alignment, and change management. AI programmes fail more often for organisational reasons than technical ones, so this work is often what decides whether a strategy actually delivers.
Some examples
- Workforce transformation and upskilling
- Change management for AI adoption
- Leadership and team innovation workshops
Our services
What this looks like in practice
Below are the specific capabilities and use cases that sit within those broad areas. Some span more than one. The list is not exhaustive. If your needs are different or more specific, just get in touch.
Working with us
How we work with you
Most AI strategy work fits one of three modes. Scope and deliverables vary; the examples sketch what each typically involves.
Many engagements use more than one of these.
If it is not clear which of these fits, book a free intro call and we can work it out.
Is this for you?
Who this is for
This is most useful at inflection points: a significant AI investment, a programme that is not delivering, or a need to agree what AI should and should not be doing.
It is appropriate at any stage of AI maturity. Earlier-stage organisations use it to choose the right opportunities. More mature organisations often need an external view of whether the current strategy is delivering.
We work with C-suite leadership and senior technical teams. Strategy at this level needs both business reality and technical truth.
When something else fits better
AI strategy, technical builds, and analytical exercises overlap, and many engagements move between them. The starting point on the site usually maps to one of the following:
- An existing system to evaluate, scale, or rescue: Scaling & Proving AI
- Governance, oversight, and regulatory readiness delivery: AI Governance & Compliance
- A specific machine learning system to build, evaluate, or deploy: AI & Machine Learning
- A specific analytical question or model on existing data: Data Science & Analytics
- A specific NLP or generative AI use case (chatbot, RAG, document analysis): NLP & Generative AI
In practice
See it in practice
A selection of engagements that involved this type of work.
FAQ
Common questions
Is an AI strategy just a document, or will it lead to something actionable?
A strategy is only useful if it drives decisions. Our focus is a clear decision framework: what to build, when, why, and in what order. That means honest assessments of data readiness, execution capability, and business case, not a presentation that sounds impressive but does not survive contact with implementation.
Where do we start if we have no existing AI programme?
With an honest assessment of your data, technical capability, business priorities, and where AI genuinely creates value. From there we develop a phased roadmap that starts with practical, high-confidence steps rather than ambitious bets.
We have tried AI projects before that did not deliver. Can you help?
Yes. Underperforming or stalled AI programmes are a common starting point. Strategy work can diagnose what went wrong and what should change at programme level. For a focused second opinion, evaluation of an existing system, or production rescue, see Scaling & Proving AI.
How do you handle the organisational and people side of AI adoption?
Technology is only part of the picture. Workforce readiness, change management, and stakeholder alignment are built into the strategy work from the start. AI adoption fails more often for human and organisational reasons than technical ones.
Do you cover AI governance and EU AI Act compliance?
Yes. Strategy work builds governance into the plan. Dedicated compliance delivery lives on AI Governance & Compliance.
For current deadlines, Irish regulators, and a checker for what applies to your use of AI, see our EU AI Act in Ireland guide.
Let's Talk
Need a clearer AI plan?
Let’s talk about the opportunities, sequence and organisational work that would make the difference.