The cost of your AI project needs a defined scope, actual quotes and operating assumptions. This page does not establish a typical Saudi market price. Use the browser-local worksheet below to compare one-time and recurring budgets with the value of time you expect to redeploy productively. Its starting numbers are fictional, and capacity value is not cash saved. No inputs are submitted or saved by the worksheet.
Work out a first-year AI budget
Start with the fictional example below, then replace the inputs with your own quotes and measured workflow data. These are not Ting prices, market benchmarks or promised results.
Worksheet version:
Fictional worked example — not a client result
- Annual capacity value
- 60,000 SAR
- First-year total cost
- 58,000 SAR
- First-year net capacity value
- 2,000 SAR
- Modeled payback
- 11.4 months
How the worksheet works
Annual capacity value = tasks/month × minutes saved ÷ 60 × hourly staff cost × useful-work share ÷ 100 × 12. First-year cost = one-time budget + monthly operating budget × 12. Net capacity value = annual capacity value − first-year cost. Payback = one-time budget ÷ (monthly capacity value − monthly operating cost), only when that difference is positive.
Include discovery, integration, testing and training in the one-time budget. Include model usage, infrastructure, maintenance and human review in operating costs. The calculation excludes taxes, financing, discounting and unbudgeted risks.
Capacity value is not cash saved. Saved staff time becomes a financial benefit only if you can productively redeploy it or actually reduce a cost. Validate time savings and adoption in a pilot before using the result in a business case.
Calculations run in your browser. This worksheet has no submit or save function.
Separate scope and budget categories
Define the task, data preparation, integration, testing, training and handover that a quote includes. Put one-time items into the setup budget. Put expected model usage, infrastructure, maintenance and exception handling into the monthly operating budget. A ready-made product and a custom integration are different scopes; do not compare their prices without documenting the difference. This guide supplies no claim about local salaries, talent shortages or typical project cost.
Use a measured baseline for time assumptions
Count comparable monthly tasks and measure staff touch time before predicting minutes saved. Keep unresolved and failed tasks in the evaluation. The useful-work share asks how much saved time can actually be redeployed; it is an assumption, not an adoption benchmark. OpenAI's evaluation guide recommends matching objectives and datasets and evaluating changes continuously. Apply a relevant pilot before treating a model-based estimate as observed business evidence.
Check the fictional starting calculation
The starting example assumes 1,000 tasks per month, 6 minutes saved per task, an hourly staff cost of SAR 100 and a useful-work share of 50%. That gives 50 productive hours per month and SAR 60,000 annual capacity value. Setup of SAR 40,000 plus SAR 1,500 monthly operating cost gives SAR 58,000 first-year cost and SAR 2,000 first-year net capacity value. Modelled payback is about 11.4 months, not a promised financial return.
Stress-test the assumptions instead of hiding uncertainty
Reduce the useful-work share or minutes saved and increase operating cost to see how the result changes. If monthly capacity value does not exceed monthly operating cost, the worksheet reports no modelled payback. A zero or negative net value is a valid planning result. Keep optimistic, expected and adverse scenarios separately with the reason for each assumption; do not tune inputs until a purchase appears justified.
Document exclusions and unconfirmed funding
The worksheet excludes taxes, financing, discounting and unbudgeted risks. It is not a full cash-flow valuation. Do not subtract a grant or incentive unless an actual award and its terms are confirmed. Assess data-handling, privacy and sector obligations against the actual workflow with qualified owners; there is no universal hosting rule established here. NIST's cited framework is voluntary risk guidance, not a funding or compliance source.
Turn the worksheet into a reviewable decision
Keep the scope, dated supplier quotes, baseline measurements and scenario assumptions with the decision record. Name who checks usage charges and who owns overruns or failed work. After a pilot, replace assumptions only with measured values of comparable scope. Track actual expenditure, redeployed capacity and cash savings separately. Use the audit and validation links when the workflow scope or evidence is still unclear, rather than expanding the budget from unsupported promises.
Key takeaways
- Use actual quotes, not invented market averages.
- Capacity value is not cash saved.
- A negative scenario is a useful result.
- Keep taxes, funding and uncertainty visible.
Four budget checks before committing
- Scope: each quote names deliverables, exclusions and ongoing ownership.
- Inputs: task volume, time and useful-work share have an evidence reference or an explicit assumption label.
- Sensitivity: retain an adverse scenario, including no payback when running cost consumes the capacity value.
- Decision: distinguish first-year cost, modelled capacity value and actual cash impact; unconfirmed grants remain excluded.
The worksheet values are fictional assumptions, not Ting prices, Saudi market averages, grants, client results or financial advice.
Frequently asked
How much does an AI project cost in Saudi Arabia?
This page does not establish a market price. Define the workflow scope and compare actual quotes with realistic operating assumptions.
Is capacity value the same as cash savings?
No. Time has to be productively redeployed or an actual expense reduced before claiming a corresponding financial benefit.
Why does the worksheet show no payback?
The model has no payback when monthly capacity value does not exceed monthly operating cost. Do not hide that result by changing assumptions without evidence.
Can we deduct expected government funding?
Keep funding unconfirmed until an actual award and its conditions are verified. This guide identifies no open programme or eligibility decision.
Related guidance
Sources
- Evaluation best practices: objectives, datasets and continuous evaluationOpenAIRetrieved: September 12, 2026
- AI Risk Management Framework: voluntary use and scopeNISTRetrieved: September 12, 2026
Editorial revision, 12 September 2026: unsupported generalizations replaced with scoped guidance and explicitly fictional examples. The examples and checklist are Ting recommendations, not client results, a benchmark or an automated publication approval. References support only their attributed descriptions, not Saudi legal requirements or business outcomes.
