Ops AI
Riyadh-based Ops AI consulting for Saudi service teams that need finance, support, inventory, and compliance workflows to move faster without losing control.
Compliance
PDPL + NDMO + ZATCA
Built into the operating logic itself, not added at the end.
Target
Repeat work removed
Support, invoices, notes, routing, and operational nudges.
Rhythm
Fast, then measured
Early wins first, then controlled expansion.
Ops AI promise
You keep the judgment, the data, and the tools. We build the layer that gets them moving together.
This is not about replacing teams. It is about tightening the operating rhythm and cutting the manual drag that slows growth.
Result
Repeat work disappears
Across finance, support, inventory, and operator handoffs.
Signal
Choices get clearer
Dashboards move from reporting to action.
Control
Humans still decide
The layer drafts, routes, and surfaces the right signals.
What Ops AI delivers
The service combines operational automation, decision signal, and ongoing tuning so the win survives after the first launch week.
How we work
We start with the real operating loop, then build a measured execution layer around it.
Discovery Call (free, 30 mins)
Map the friction points and score AI readiness (0-100).
Ops AI Audit (2 weeks, fixed scope)
Process map, data health, quick wins, ROI model.
Pilot-to-Production (4 weeks)
Configure tools, connect systems, train teams, launch dashboard.
Scale & Sustain (quarterly)
Backlog shaping, governance, cost and quality guardrails.
Najdi Ops AI
Saudi teams do not need an AI layer that sounds culturally detached from the way they actually work. The operating tone matters too.
نرتب لك كل شي بدون دوشة: تربط الفروع، المخازن، والواتساب في لوحة وحدة.
سوالف العملاء؟ نخليها تجاوب نفسها، ونعطيك تنبيه إذا فيه عميل VIP يحتاج كلمة حلوة.
فواتيرك مع زاتكا مضمون تنرفع صح، ولو صار دروب نحذّرك قبل الغرامة.
Do we need a new software stack to use Ops AI?
No. The point is to fit inside the stack you already run: inboxes, ERP, chat, POS, and spreadsheets where needed.
Will this replace the team or automate customer decisions on its own?
No. Ops AI removes repeat work, drafts next steps, and surfaces signals. A human still owns the decision and the send.
Can this work in Saudi regulatory contexts?
Yes. The operating model is built around Saudi-first constraints such as PDPL, NDMO, and ZATCA-style process discipline.
How fast can we see a result?
The normal path is a short discovery call, a fixed-scope audit, then a focused pilot. The first operational win should show up quickly or the scope gets narrowed.
If the problem is closer to the general working day than to a heavier operating layer, start with AI for daily workflow.
Next step
Email alkhunizan@gmail.com or send a short note on the bottleneck. The first job is to identify the clearest operational win.