Strategy

Digital Strategy
& AI Consulting

We help leadership teams separate AI hype from business value: finding the use cases worth doing, registering and prioritising them, preparing for the EU AI Act, and building a roadmap your people can deliver.

What we do

Cut through the
technology noise.

  1. AI strategy & roadmap

  2. AI use case register & prioritisation

  3. EU AI Act readiness

  4. AI governance & security

  5. Workshops & AI training

  6. Fractional CTO guidance

AI hype is expensive.
Business value pays back.

Most organisations do not lack AI ideas. They lack a way to tell which ideas are worth doing, who owns them, and what happens after the demo. Our AI strategy consulting starts by separating the two.

AI hype compared with business value
AI hype Business value
Starts with a tool: “we need a chatbot” Starts with the decision or process it should improve
A pilot nobody owns A use case with a named business owner and a measure of success
An impressive demo A measured result in your own environment
Shadow AI: staff using unapproved tools Approved tools, clear rules and trained people
Compliance bolted on at the end Risk class and controls decided before anything is built
A one-off project that goes stale A register and roadmap that keep improving
AI use case register UC-014

Invoice triage assistant

Business owner
Head of Finance Operations
Problem it solves
Manual sorting of supplier invoices slows down approvals
Data used
Supplier invoices; limited personal data (contact names)
AI technique
Document AI with LLM-based extraction
Human oversight
Reviewer approves every exception
Business value
72
Feasibility
78
EU AI Act risk class
  1. Minimal
  2. Limited
  3. High
  4. Prohibited
Status
  1. Idea
  2. Assessed
  3. Pilot
  4. Production
  5. Retired
An illustrative register entry. Example data, not a client.

One list of every AI use case, with an owner for each.

An AI use case register is the single list of every AI use case your organisation runs or plans, from a chatbot a team signed up for last month to a forecasting model in production. Without it, prioritisation is guesswork, governance has nothing to govern, and EU AI Act classification cannot start: you cannot classify AI you have not listed.

What every entry captures

  • Business owner and purpose
  • Data used, including any personal data
  • AI technique and tools
  • Value hypothesis and feasibility score
  • Risk class under the EU AI Act
  • Human oversight and controls
  • Status and next review date

A register does not need special software. A well-designed spreadsheet or SharePoint list is enough to start, as long as someone owns it and it is reviewed on a schedule.

Score every idea.
Do the right ones first.

Not every AI idea deserves a pilot. We score each use case on business value and feasibility, add its risk class, and plot the results so leadership sees the order of play on one page.

How we score

  1. Business value Hours saved, cost avoided, revenue gained or risk reduced.
  2. Feasibility Data quality, technology fit and the skills you already have.
  3. Risk class The EU AI Act tier and the controls it implies.
  4. Time to value How soon a pilot can show a measurable result.
  5. Ownership A named business owner who will act on the outcome.
STRATEGIC BETS DO FIRST PARK FOR NOW QUICK WINS FEASIBILITY → BUSINESS VALUE → UC-14 UC-07 UC-22 UC-09 UC-31
Example use case High-risk class under the EU AI Act Illustrative example, not client data.

Classify every use case
before you build it.

The EU AI Act takes a risk-based approach: the more harm an AI use case could do, the stricter the rules. That makes classification the first job, and it is the reason the register comes first. Our EU AI Act readiness work helps you list, classify and prepare, in plain language.

PROHIBITED HIGH RISK LIMITED RISK MINIMAL RISK
The four EU AI Act risk tiers, from banned practices at the top to minimal risk at the base.

The four risk tiers

  1. Unacceptable risk: prohibited. Banned outright. Examples include social scoring, manipulative or exploitative AI, untargeted scraping of facial images, and emotion recognition in workplaces and schools (with narrow exceptions).
  2. High risk: strict obligations. Allowed, with risk management, data governance, documentation, human oversight, accuracy and cybersecurity requirements. Examples: CV screening and recruitment tools, credit scoring, exam scoring, and safety components of critical infrastructure.
  3. Limited risk: transparency duties. People must be told when they are interacting with an AI system, and AI-generated or manipulated content such as deepfakes must be disclosed or labelled.
  4. Minimal risk: no specific obligations. Examples include spam filters and AI in video games. Good practice and staff AI literacy still apply.

What you need to know in 2026

Reviewed October 2026. General information, not legal advice. The timetable has already changed once, so confirm current dates and obligations with your legal advisers. Primary sources: Regulation (EU) 2024/1689 on EUR-Lex and the European Commission’s AI Act overview.

Governance that enables,
not blocks.

Good AI governance is not a policy document that sits in a drawer. It is a loop: decide the rules, classify each use case, put controls in, keep a human in charge, watch what the system does, and learn from it. We design that loop so teams can move faster with confidence.

Responsible AI REFERENCE FRAMEWORKS EU AI Act · GDPR ISO/IEC 42001 · NIST AI RMF 01 Policy & ownershipAcceptable use, accountable owners 02 Classify & assessEU AI Act risk class per use case 03 Guardrails & securityAccess, data privacy, controls 04 Human oversightWho reviews, who can stop it 05 Monitor & observeBehaviour, quality, token cost 06 Review & improveAudit trail, re-assessment
The AI governance loop: six steps that repeat for every use case in the register.
  1. Policy & ownership Acceptable use, accountable owners
  2. Classify & assess EU AI Act risk class per use case
  3. Guardrails & security Access, data privacy, controls
  4. Human oversight Who reviews, who can stop it
  5. Monitor & observe Behaviour, quality, token cost
  6. Review & improve Audit trail, re-assessment

Policy

Acceptable use rules, approved tools, named owners and a clear route for new ideas, written so people can follow them.

Controls

Access controls, data privacy frameworks and guardrails that keep AI deployments within regulatory, ethical and enterprise security standards.

Assurance

AI observability: tracking model behaviour, prompt performance, token costs and output quality across production AI systems, with an audit trail.

From register to
running in production.

An AI roadmap turns a ranked list into a plan your people can deliver: what happens now, what is next and what comes later, across use cases, governance, skills and platform. We keep it to one page.

Illustrative AI roadmap by lane: now, next and later
Lane Now Next Later
Use cases Discover & register Pilot the top-ranked Scale what works
Governance Policy & risk classes Guardrails & oversight Monitoring & audit
People & skills AI awareness workshops AI tools bootcamp Embed in daily work
Platform & data Data & access review Secure platform & integrations Observability & cost control
An illustrative roadmap. Every engagement is tailored, and the platform lane often builds on Azure cloud services and AI & machine learning delivery.

Expert guidance.
Practical results.

AI Roadmap AI Use Case Register EU AI Act Generative AI LLM Workshops Vibe Coding AI Observability AI Governance

Most organisations recognise that artificial intelligence is no longer optional: knowing where to start, which tools to prioritise, and how to build genuine internal AI capability is an entirely different challenge. Generic AI strategies rarely survive contact with operational reality. RhibusTech’s AI consulting practice bridges that gap: we work directly with leadership and operational teams to identify high-value AI use cases, define a prioritised AI strategy and roadmap, embed responsible AI governance and security controls from the outset, and equip your people with the hands-on skills they need to work effectively alongside the most powerful AI tools available today.

  • AI use case discovery & prioritisationstructured workshops to surface, evaluate, and rank AI opportunities against business impact, technical feasibility, and ROI potential
  • AI use case registera maintained inventory of every AI use case with owner, data, risk class, value and status, set up so your team can run it after we leave
  • AI strategy & roadmap developmentan executive-ready plan mapping AI initiatives to measurable outcomes, governance requirements, and phased delivery milestones
  • EU AI Act classification & readinessclassification of your use cases against the Act’s risk tiers, a gap view of obligations that may apply, and a practical plan to close them
  • Generative AI awareness workshopshands-on sessions covering Claude and ChatGPT, prompt engineering, responsible AI use, enterprise integration patterns, and practical application in day-to-day workflows
  • One-day AI tools bootcampintensive practitioner-led training on Lovable (AI-powered no-code application development), GitHub Copilot (AI-assisted coding for engineering teams), and Claude Code (agentic, conversational software development and the frontier of vibe coding)
  • AI observability & monitoringframeworks and tooling to track model behaviour, prompt performance, token costs, and output quality across production AI systems
  • AI governance & securitypolicy design, access controls, data privacy frameworks, and guardrail implementation to ensure AI deployments meet regulatory, ethical, and enterprise security standards

AI strategy,
answered.

Straight answers to the questions leadership teams ask us most about AI strategy, use case registers and the EU AI Act.

What is an AI use case register?

An AI use case register is a single, maintained list of every AI use case your organisation uses or plans: what it is for, who owns it, what data it uses, how it is classified for risk, what value it should deliver and where it stands (idea, pilot, production). It is the foundation for prioritisation, governance and EU AI Act readiness, because you cannot classify or control AI you have not listed.

How do you prioritise AI use cases?

We score each use case on business value and feasibility (data, technology, skills and time to value) and add its risk class. Plotting the results shows which ideas to do first, which are strategic bets that need groundwork, which are quick wins and which to park. Every prioritised use case gets a named business owner and a measure of success.

What is the difference between AI hype and business value?

AI hype starts with a tool or a demo. Business value starts with a decision or process that matters, a named owner and a measurable result, and it ends in production with the right controls. We help you tell the two apart before money is spent.

Does the EU AI Act apply to my organisation?

It can apply if you develop AI systems (providers) or use them in a professional context (deployers), including organisations outside the EU when the output of an AI system is used in the EU. The obligations depend on the risk class of each use case, which is why a register and classification come first. This is general information, not legal advice.

What are the EU AI Act risk categories?

The Act sorts AI use into four tiers: unacceptable risk (prohibited practices), high risk (strict obligations, for example in recruitment, credit scoring and education), limited risk (transparency duties, for example chatbots and AI-generated content) and minimal risk (no specific obligations).

When do the EU AI Act obligations apply?

They phase in. Prohibited practices have applied since 2 February 2025 and most transparency duties from 2 August 2026. A 2026 amendment postponed the high-risk obligations to 2 December 2027 for stand-alone systems and 2 August 2028 for AI built into regulated products. Dates have changed before, so confirm the current position with your legal advisers.

What does an AI strategy engagement include?

Typically: use case discovery workshops, an AI use case register with prioritisation, an AI roadmap, governance and security design, EU AI Act classification support, hands-on training and, where needed, fractional CTO guidance. Every engagement is tailored to your organisation.

Do you work with organisations in Ireland and Dubai?

Yes. Our team is spread across Ireland and Dubai, and site visits are possible in both, subject to availability.

Is the first consultation free?

Yes. The first consulting call is free and lasts 60 minutes, and we reply to every enquiry within 48 hours.

More ways we can
move you forward.

YOUR NEXT MOVE

Ready to align technology
with your actual goals?

Tell us where you want to go. Your first 60-minute consultation is free, and we reply to every enquiry within 48 hours.