Assessment first. Ambition second.
Most AI projects fail on foundations, not models. Jahiz finds the gaps before they cost you a pilot.
Where your data lives, how clean it is, and whether it can feed the systems you want to build.
What can run in the Kingdom today, what needs private cloud, and what belongs on-premises.
Compliance posture, data-protection gaps, and the approvals your projects will need.
Who can build, who can operate, and where training or hiring changes the plan.
Your candidate projects ranked by feasibility and impact — not by hype.
Everything lands in one scored report with a sequenced plan your leadership can act on.
Three to four weeks, start to report.
Workshops with your business and technical leads to map ambitions and constraints.
Thirty-four checks across the five areas — evidence-based, not questionnaire-only.
Findings are scored, weighted, and pressure-tested with your team.
You receive the report, the roadmap, and a recommended first build — with our reasoning.
Who runs Jahiz first.
Before committing budget to AI programmes, know what the foundations can support.
Turn a vague AI mandate into a sequenced, defensible plan.
Small teams, big missions — find the one project worth doing first.
An independent, evidence-based answer to “are we ready, and what would it take?”
A report you can take to the board.
A single defensible number, built from 34 checks across five areas — with every check documented.
Exactly where data, infrastructure, governance, or skills fall short of your ambitions — and how much it matters.
What to build first, what to fix before building, and what to deliberately postpone.
The one first project with the best odds — scoped, justified, and ready to start.