AI Strategy & Enablement
Know where AI actually pays off before you spend on it
Most companies chase AI projects that never justify their cost, or sit on real opportunities because no one mapped them. We audit your data, systems, and workflows, then hand you a ranked list of what to build first and what to skip.
2 to 3
weeks from kickoff to final report
3 to 5
priority opportunities ranked by payoff
1
roadmap document your leadership can act on
The direct answer
This is a structured assessment that tells you which parts of your business are ready for AI, which need work first, and what order to tackle them in. It is built for Saudi companies weighing AI investment who want a grounded answer before committing budget, not a vendor pitch dressed up as a study.
What this removes.
No idea where to start
Today
Everyone talks about AI in meetings, but nobody can name a specific process it would actually fix here.
With the system
You have a short list of named opportunities, each scored on effort, cost, and expected payoff.
Data too messy to trust
Today
You suspect your data isn't clean enough for AI to work on, but nobody has checked systematically.
With the system
You know exactly which datasets are usable today and what it takes to fix the ones that aren't.
Vendor pitches you can't evaluate
Today
Software vendors keep pitching AI features and you have no independent way to judge if they fit.
With the system
You have your own criteria and priorities, so vendor claims get measured against your actual gaps.
Budget requests with no backing
Today
Leadership asks for the business case before approving any AI spend, and nobody has built one.
With the system
You walk into the budget conversation with cost, timeline, and payoff numbers for each option.
What lands in your hands.
Data and systems inventory
A map of what data you hold, where it lives, and how clean it is.
Process and workflow audit
The manual, repetitive, or error-prone steps worth automating first.
Opportunity scoring matrix
Each candidate use case ranked on cost, effort, risk, and payoff.
PDPL and governance gap check
Where your current data handling falls short of PDPL requirements.
Prioritized roadmap document
A sequenced plan your leadership can approve and act on directly.
Executive readout session
A working session that walks your leadership through the findings.
Systems and platforms we work with
- OpenAI
- Anthropic
- Google Gemini
- Meta
Five stages. You sign off every one.
Read each stage as a small contract: what we need from you, what lands in your hands, and the sentence that has to be true before we move on.
- Kickoff and scoping2 to 3 days
- Data and systems audit1 week
- Process mapping and interviews1 week
- Scoring and roadmap build3 to 5 days
- Executive readout and handover1 session
Kickoff and scoping
2 to 3 days
We agree on which departments, systems, and processes the assessment covers, and who we need access to on your side.
- Name the departments and systems in scope
- Assign a point of contact for each area
- A scoped assessment plan
- A list of documents and access we need
We move on when we both agree on the scope, the timeline, and who's involved on your side.
Data and systems audit
1 week
We review your data sources, existing systems, and technical stack to see what's actually usable for AI work today.
- Grant read access to relevant systems
- Answer follow-up questions from our team
- A data quality and systems inventory
- Notes on gaps that would block AI adoption
We move on when we have a clear picture of what data and systems you have to work with.
Process mapping and interviews
1 week
We interview your team leads to find the manual, repetitive, or costly workflows that AI could realistically improve.
- Make key staff available for short interviews
- Flag processes you already suspect are inefficient
- A mapped list of candidate processes
- Notes on where each one breaks down today
We move on when we have a full list of processes worth scoring for AI fit.
Scoring and roadmap build
3 to 5 days
We score every candidate opportunity on cost, effort, and payoff, then sequence them into a roadmap and write the final report.
- Review a draft roadmap and flag priorities
- Confirm budget ranges you're comfortable with
- A scored opportunity matrix
- A final, sequenced roadmap document
We move on when you have a written roadmap you're ready to bring to leadership.
Executive readout and handover
1 session
We walk your leadership through the findings, answer questions directly, and hand over every document so the roadmap is yours to act on.
- Bring the decision-makers into the room
- Ask the hard questions before committing budget
- A live readout session
- All source documents and the final roadmap
We move on when your leadership has what it needs to decide what to fund next.
Asked before signing.
How is pricing structured for this assessment?
Pricing is fixed and set in the kickoff stage, based on how many departments and systems are in scope. There's no hourly billing and no surprise add-ons. A typical single-department assessment costs less than a proof-of-concept sprint would, and you know the number before any work starts.
Do we need to already have an AI strategy before this?
No, that's the point of the assessment. Most clients start with a general sense that AI might help somewhere but no specific plan. We work from your actual data and processes, not from an assumed strategy, and the roadmap we hand back becomes your strategy.
Will you tell us honestly if AI isn't worth it for a given process?
Yes. Part of the deliverable is telling you what not to build. If a process doesn't have enough data volume, or the manual version is already cheap enough, we say so in the report. Padding the roadmap with weak opportunities doesn't serve you and it doesn't serve us either.
How does this handle PDPL and data privacy during the audit?
We review data under access agreements scoped to what's needed for the assessment, and we flag PDPL gaps in your current handling as part of the deliverable rather than as an afterthought. We don't copy your data out for our own use, and anything sensitive stays under the access terms we agree on in stage one.
Ready to find out where AI pays off in your business?
Tell us a bit about your company and what's prompting the question, and we'll scope a readiness assessment that fits your size and timeline.