Consulting Practice

AI Business Consulting.

Board-ready AI strategy for regulated enterprises — scored by ROI, sequenced by risk, and mapped to Vision 2030, SDAIA and PDPL from day one.

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Practice
Consulting Practice
Delivery
Riyadh · London · Lahore
Model
Fixed-scope · Retainer
Timeline
6–16 weeks / phase
01 — What we do

Three pillars that carry the practice.

01

Value-chain opportunity scan

We map every workflow against a library of 200+ AI value patterns and score each by ROI, risk, data readiness and time-to-value.

02

Executive alignment

Board narratives, investment cases, and a target operating picture leadership can approve — bilingual, Arabic and English.

03

90-day ROI roadmap

A quarter-by-quarter plan with measurable KPIs, budget bands, vendor-neutral architecture and a signed delivery cadence.

“
We ship this practice as a small, opinionated system — running infrastructure, evaluation harnesses, and the rituals that make leadership trust the numbers.
02 — Capabilities

What we build inside this practice.

Every engagement is scoped as a small system, not a slide deck. You get running infrastructure, documentation, and the metric-store hooks to measure it.

Scope an engagement
01Enterprise AI opportunity scan
02ROI modelling & business casing
03Vision 2030 / SDAIA alignment
04PDPL & NDMO readiness map
05Vendor & platform selection
06Target operating model design
07Governance & change readiness
08Executive workshops (AR + EN)
Reference architecture

How the pieces move.

Discoveryworkshops · auditsOpportunity map200+ patternsROI modelcost · risk · valueRoadmap90-day cadenceGovernancePDPL · SDAIA
03 — In production

Numbers from the field.

40+
Enterprise scans delivered

Across banking, government, energy and healthcare — each ships with a signed business case.

6wk
Scope to first pilot

From kickoff workshop to a working pilot with real users on real data.

3.2×
Median ROI on shortlisted bets

Tracked 24 months post-engagement across production deployments.

04 — The problem we solve

Most AI programs stall between ambition and architecture.

Executives greenlight AI, IT ships a POC, and twelve months later there's a dashboard nobody uses. We fix the gap between the boardroom slide and the production system — with an evidence-led scan, a scored roadmap, and an operating model your CIO, CDO and DPO can all sign.

70%
Of enterprise AI POCs never reach production (Gartner, 2024)
18mo
Average time-to-value without a phased plan
3×
Higher success rate when governance ships with the pilot
100%
Of our roadmaps are PDPL & SDAIA aligned
05 — How we deliver

A methodology we've run — not a slide.

Every engagement follows the same phased spine so leadership always knows what ships in the next two weeks.

  1. 01
    Week 1–2

    Discovery

    Executive interviews, workflow shadowing, data-estate audit, existing-stack review.

    Stakeholder mapWorkflow inventoryData-readiness score
  2. 02
    Week 3–4

    Opportunity scan

    Every workflow scored against a library of 200+ AI value patterns.

    Opportunity registerROI + risk scoringShortlist of 5 bets
  3. 03
    Week 5–7

    Business casing

    Cost, benefit and risk modelling per bet, plus vendor & platform selection.

    Investment caseVendor recommendationTCO model
  4. 04
    Week 8

    Roadmap & sign-off

    Phased 12-month delivery plan with a first pilot ready to enter build.

    12-mo roadmapBoard pack (AR + EN)Pilot charter
06 — Reference stack

Vendor-neutral. Battle-tested.

Discovery & modelling
MiroFigmaNotionExcel financial modeldbt profiler
Data-readiness diagnostics
Great ExpectationsMonte CarloUnity CatalogPurview
Governance frameworks
NIST AI RMFISO/IEC 42001PDPLNDMOSDAIA AI Ethics
Vendor landscape covered
DatabricksSnowflakeMicrosoft FabricAWS BedrockGoogle VertexOpenAIAnthropic
07 — What you get

Concrete deliverables.

  1. 01Opportunity register with ROI, risk and effort scores
  2. 025-bet shortlist with signed executive rationale
  3. 0312-month phased roadmap with quarterly milestones
  4. 04Vendor & platform recommendation memo
  5. 05Target operating model + RACI
  6. 06PDPL / SDAIA / NDMO compliance map
  7. 07Board pack in Arabic and English
  8. 08Pilot charter ready for build kickoff
08 — Buyer questions

What leadership actually asks.

How is this different from a McKinsey or BCG AI strategy?

We ship as builders, not as slideware. Every recommendation is validated against your actual data estate and delivered by the same team that will build the pilot — no handoff, no re-scoping.

Do you commit to a fixed price?

Yes. Discovery is a fixed-scope 8-week engagement. Downstream builds are quoted per pilot after the roadmap sign-off.

How do you handle PDPL and SDAIA?

Every opportunity is scored against PDPL data-classification rules and SDAIA AI-ethics principles before it enters the shortlist. Non-compliant use-cases are flagged and re-scoped or dropped.

Can you deliver in Arabic?

Yes. Workshops, board packs, and documentation ship bilingual. Our Riyadh team leads client-facing sessions in Arabic by default.

What if we already have a strategy?

We often plug in as a validation pass — pressure-testing the ROI model, vendor picks and sequencing before capex is committed.

Ready to scope this into your stack?

Book a working session with a lead architect.

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