02 / Our expertise

AI & digital transformation

Connect AI strategy and digital transformation to a real operating problem. Define a practical pilot, clear ownership and measurable results.

A good fit when

  • Choosing where to invest in AI
  • Connecting disconnected pilots
  • Moving a tested use case into operations

A focused scope

What we can deliver

The brief defines the deliverables, responsibilities and depth of work.

Opportunity & readiness

Prioritised use cases, data and integration needs, and the business outcomes each opportunity should support.

Pilot & investment case

Representative tasks, quality and cost baselines, human-review needs and clear criteria for a rollout decision.

Implementation & governance

A delivery roadmap covering responsibilities, access, escalation, monitoring and adoption. Specialist support can be included.

Sovereign & private AI

Your data. Your models. Your control.

Design the operating boundary before choosing the model.

Sovereign & on-premises deployment

On-premises or approved private infrastructure, with explicit boundaries for data, inference, logs and backups. Define who controls access, keys and operations.

Model choice & LLM routing

Evaluate open-weight models and approved commercial APIs against language, quality, cost and licensing needs. Route by data policy first; restricted workloads have no silent external fallback.

Local privacy compliance support

Translate applicable privacy requirements into data maps, access controls, retention and cross-border transfer decisions, alongside the client’s legal and security owners.

We scope applicable requirements such as the UAE PDPL and Saudi PDPL and regulations, plus relevant sector or free-zone rules, with your specialists. Local hosting alone does not establish compliance. Deliverables include documented controls, testing and review evidence; they are not a legal certification.

How we work

From decision to delivery

Our approach & engagement models

  1. Understand

    Review the workflow, users, languages and consequences of errors.

  2. Evaluate

    Compare suitable approaches against the same tasks and baseline.

  3. Operationalise

    Agree ownership, review controls and the conditions for scaling.

Selected leadership

Hub71+AI

Fred leads the AI vertical within Hub71’s Growth and Strategy team and oversees end-to-end accelerator delivery in Abu Dhabi.

Explore the role

A few useful answers

Can our data stay on premises?

We can scope on-premises or approved private deployment where appropriate. We assess data flows, inference, logs and remote access; local hosting alone is not a compliance guarantee.

Can you help with implementation?

Yes, within an agreed mandate. Scope covers delivery responsibilities, specialist needs and how quality, operating cost and adoption will be evaluated.

Barry Advisory · Updated 19 October 2026

Your next move

Start with what needs to change.

Tell us the decision, the challenge or the opportunity. We’ll shape the right scope with you.

Let’s talk