AI Services: Assess, Advise, Transform

Three steps, ten services. Pick one below to see what it is, what you get and how it works.

Start with an Assessment Explore the Services ↓
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Ten Services in Three Steps

Start at any step. Most organisations start with an assessment.

Assess

Find where AI pays off and whether you are ready.

AI Readiness Assessment Use-Case Discovery Workshop Data & Platform Readiness

Advise

Decide how to get there and prepare your people.

AI Strategy & Roadmap AI Governance & Compliance Build-vs-Buy & Vendor Selection AI Training & Capability Building

Transform

Deliver it, and make sure it is used.

Programme Delivery & PMO Pilot-to-Production Adoption & Change Management

AI Readiness Assessment

Assess Typical duration: 3–6 weeks

A structured review of how ready your organisation is to use AI at scale: strategy, data, technology, people, governance and risk. It ends with a scored list of use cases and a roadmap, so your first spend goes where it pays off.

Who it is for

Leadership teams, CIOs, CDOs and COOs who want to start with AI, or restart, and need to know where to begin.

What you get

  • Maturity scorecard across strategy, data, technology, skills, governance and culture
  • Scored list of use cases: value, complexity and data readiness for each
  • A view of risk and compliance exposure
  • Quick wins separated from strategic bets, in sequence
  • A board-ready read-out with the decisions required

How it works

1. Scope and mobilise2. Discover3. Assess and score4. Prioritise5. Read-out
AI Readiness Assessment
StrategyDataTechnologySkillsGovernanceRisk Illustrative example, not client data.

Ways to start

AI Quick ScanAbout 3 weeks · Maturity snapshot, top 10 use cases, two-page memo
Enterprise AI Readiness Assessment4–6 weeks · Full scorecard, scored use cases, data readiness view, roadmap, risk register
Multi-entity AI Assessment8–12 weeks · Per-unit assessments, consolidated portfolio, shared roadmap, governance proposal
Full details → Book an AI Assessment

Use-Case Discovery Workshop

Assess Typical duration: 1–4 weeks

A facilitated session of one or two days with the people who know your operations. We turn a long list of AI ideas into a short, ranked one, with an estimate of value, effort and data needs for each.

Who it is for

Leadership teams and process owners who have ideas but no agreed priorities.

What you get

  • A facilitated workshop with leaders and process owners
  • A ranked list of use cases
  • Value, effort and data-readiness view for each
  • A recommended first pilot
  • A short written summary within a week

How it works

1. Prepare2. Workshop3. Write-up4. Decide
Use-Case Discovery Workshop
Quick winsBig betsParkReconsiderABCDEFEffort (low to high)Value Illustrative example, not client data.
Full details → Book an AI Assessment

Data & Platform Readiness

Assess Typical duration: 3–6 weeks

A review of whether your data, systems and platform can support the use cases you have chosen: quality, access, architecture and fit.

Who it is for

Teams that have chosen use cases, or have a platform decision coming up.

What you get

  • Findings on data quality and access
  • A view of architecture and platform fit
  • The gaps, with the effort to close each
  • A recommendation on what to fix first

How it works

1. Scope2. Inspect3. Assess4. Report
Data & Platform Readiness
Data qualityData accessArchitecturePlatform fit Illustrative example, not client data.
Full details → Book an AI Assessment

AI Strategy & Roadmap

Advise Typical duration: 6–12 weeks

An enterprise AI vision with priorities, an investment case and a sequenced roadmap that your board can challenge.

Who it is for

Executive teams setting the direction for AI across the organisation.

What you get

  • AI vision and priorities
  • An investment case with cost and benefit
  • A proposal for who owns what
  • A sequenced roadmap
  • A board-ready summary

How it works

1. Align2. Weigh options3. Draft4. Present
AI Strategy & Roadmap
Now (0-3 months)Next (3-9)Later (9-18)Assess and decidePilot two use casesPlatform and dataScale and train Illustrative example, not client data.

Ways to start

AI Strategy SprintAbout 6 weeks · Priorities and a first roadmap
Enterprise AI StrategyAbout 3 months · Full strategy, investment case and operating model
National or sector AI programme6–12 months · Programme-level strategy and roadmap
Full details → Book an AI Assessment

AI Governance & Compliance

Advise Typical duration: 6–12 weeks

Policies, risk controls and clear roles, so AI is used safely and in line with the rules that apply to you. This is practical guidance, not legal advice: your own counsel signs it off.

Who it is for

Organisations putting AI into daily work, especially in regulated sectors or where personal data is involved.

What you get

  • An AI policy and usage rules
  • A risk register and controls
  • Roles and approval steps
  • Alignment with the data and AI regulation that applies, and with recognised AI standards
  • A briefing for staff

How it works

1. Map2. Assess risk3. Draft4. Brief and embed
AI Governance & Compliance
Impact (low to high)Likelihood1234Controls attached to each numbered risk(policy, review step, owner) Illustrative example, not client data.
Full details → Book an AI Assessment

Build-vs-Buy & Vendor Selection

Advise Typical duration: 3–8 weeks

A fair comparison of building your own solution, buying a platform, or combining both, for a specific need. We tell you which wins and why.

Who it is for

Teams about to commit budget to a tool or a build.

What you get

  • Options with total cost and risk
  • Scoring against your criteria
  • A clear recommendation
  • A short list of vendors and the questions to ask them
  • Where a partner platform fits (see Partners)

How it works

1. Define the need2. Shortlist3. Compare and test4. Recommend
Build-vs-Buy & Vendor Selection
CostSpeedControlRiskBuildBuyMix Illustrative example, not client data.
Full details → Book an AI Assessment

AI Training & Capability Building

Advise Typical duration: 1 day – 6 months

Hands-on training that moves your organisation from using AI tools to building with them. It is taught on your own work, not generic examples, and it aims at lasting capability rather than a certificate.

Who it is for

Leadership teams, functions and technical teams that want to use AI well and stop depending on outsiders.

What you get

  • A skills baseline by role
  • Role-based tracks for executives, managers, practitioners and builders
  • Exercises on your own use cases, in the tools you will actually use
  • Rules on what data may go where
  • Internal champions and a repeatable playbook
  • Measures of adoption after the programme

How it works

1. Baseline2. Design3. Deliver4. Apply5. Embed and measure
AI Training & Capability Building
ExecutivesTeamsBuildersBeforeAfter Illustrative example, not client data.

Ways to start

Executive AI BriefingHalf a day to one day · Briefing, view of risk and opportunity, list of decisions
AI Workshop and Team Track2–4 weeks · Workshop, role-based sessions, ranked use cases, usage rules
Enterprise AI Academy3–6 months · Multi-track cohorts, builder track, champion network, playbook, adoption measures
Full details → Book an AI Assessment

Programme Delivery & PMO

Transform Typical duration: 6–36 months

We run the AI and digital transformation programme with you: the plan, the governance, delivery tracking and the realisation of value.

Who it is for

Organisations with an approved roadmap that need it delivered across teams and vendors.

What you get

  • Programme plan and governance
  • Delivery tracking and reporting
  • Coordination of vendors and partners
  • Benefits tracking
  • Optional: AIZoPlan as the tracking platform

How it works

1. Mobilise2. Run3. Report4. Hand over
Programme Delivery & PMO
Q1Q2Q3Q4PlannedDelivered Illustrative example, not client data.

Ways to start

Programme MobilisationAbout 3 months · Plan, governance, first tracking cycle
Transformation PMOAbout 12 months · Ongoing delivery office
Multi-year Transformation Office24–36 months · Long-term programme office
Full details → Book an AI Assessment

Pilot-to-Production

Transform Typical duration: 2–6 months

We take a proven use case from pilot to a service that runs in production, then hand it over to your team.

Who it is for

Teams with a successful pilot, or a clear use case ready to build.

What you get

  • A production-ready build, or a configured partner platform
  • Integration with your systems
  • Testing and security checks
  • A run-book and training for your team
  • A clean handover

How it works

1. Scope2. Build or configure3. Test and harden4. Hand over
Pilot-to-Production
PilotTestHardenLive Illustrative example, not client data.
Full details → Book an AI Assessment

Adoption & Change Management

Transform Typical duration: 3–12 months

Engagement, communication, role changes and measurement, so that the AI tools you have built or bought are actually used.

Who it is for

Organisations rolling out AI to many users.

What you get

  • Stakeholder and change plan
  • Communication and training plan
  • Role and process changes
  • Adoption measures and regular review

How it works

1. Understand2. Plan3. Roll out4. Measure
Adoption & Change Management
AwareTrialHabitShare of people using it Illustrative example, not client data.
Full details → Book an AI Assessment

Experienced Specialists, Working with AI

Every service is delivered by senior people who have done this before.

Certified talent

Our specialists hold recognised industry certifications and keep them current as the tools change.

Years of experience

Consultants who have led consulting engagements and delivered projects across sectors.

Vertical expertise

Experts in the sectors we serve, so advice reflects how your industry really works.

AI-enabled delivery

We use AI in our own work, so you get faster, better-documented delivery.

Assess: AI Readiness Assessment and Use-Case Discovery

Assessing comes first. Before you spend on AI, you need to know whether your strategy, data, systems, skills and rules can support it, and which use cases are worth the effort.

Where should an organisation in the UAE start with AI?

Start with an AI readiness assessment. It shows where you stand on strategy, data, technology, skills and risk, and ranks your use cases, so the first spend goes where it pays off.

How long does an AI readiness assessment take?

A quick scan for one business unit takes about three weeks. A full enterprise assessment typically takes four to six weeks, and a group with several units eight to twelve weeks.

Do we need clean data before an assessment?

No. Finding out how good your data is, and what it would take to fix, is part of the assessment.

Advise: AI Strategy, Governance, Training and Vendor Selection

Advising turns findings into decisions: a plan the board can challenge, rules staff can follow, skills your teams build, and a fair comparison before you commit budget.

What does an AI consultant do?

An AI consultant helps decide where AI is worth using, sets the plan and the rules, and chooses between building and buying. At Innov@Scale the advice ends with decisions and a named owner for each.

Do AI projects in the UAE and Saudi Arabia have to follow data protection law?

Yes, where personal data is involved. Both countries have personal data protection laws that affect how data may be used, stored and moved. We build usage rules and controls around them, and your own counsel reviews the legal reading.

Should we build our own AI solution or buy a platform?

It depends on the need, the data and the cost over several years. A build-vs-buy review compares both options, and doing nothing, and gives a clear recommendation.

Do you offer AI training for companies in the UAE?

Yes. We run role-based training for executives, managers, practitioners and builders, using your own use cases and the tools your organisation is allowed to use, in English or Arabic.

Transform: AI Implementation, Programme Delivery and Adoption

Transforming is the part where AI goes live and stays in use. Many pilots work and never reach production, because nobody owned the next step.

Why do AI pilots fail to reach production?

Usually because the pilot ran on clean data with one team and nobody owned the next step. Real systems, volumes and security checks then stop it. We plan the pilot with the production service in mind.

Do you build AI solutions or configure existing platforms?

Where a proven platform fits, we configure it for your data and workflows. We build only when no existing platform does the job. See our partner platforms.

How do we know an AI rollout worked?

We measure the same figures before and after, the same way, and report both. We also track real use of the tool, not attendance at sessions.

Need a platform for this? See Partners. Need people to deliver it? See AI Specialists.

Get Started

Tell us what you want to achieve with AI.

Start with an AI Readiness Assessment: a scored list of use cases and a clear roadmap.

Book an AI Assessment