Ops AI
Ops AI consulting for Saudi operations teams.
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
What Ops AI delivers
The service combines operational automation, decision signal, and ongoing tuning so the win survives after the first launch week.
- Automations that wipe out repetitive work across finance, support, and inventory.
- Dashboards that translate messy data into clear choices for GMs and founders.
- Playbooks for Najdi + English conversations so customers feel seen, not scripted.
- Governance that keeps PDPL, NDMO, and ZATCA happy without slowing teams down.
- Continuous tuning so wins stick after the first launch wave.
Signature automations
- Invoice & receipt capture: ZATCA-ready entries plus mismatch alerts.
- WhatsApp, email, and chat triage: fastest path to the right agent or bot.
- Inventory pulse: low-stock and dead-stock nudges before they cost you.
- Meeting notes: auto summaries, action items, and owner handoffs.
- HR screeners: CV scoring, interview kits, onboarding nudges.
Insight-to-action dashboards
- Revenue heatmap by channel, SKU, and season (mada, Apple Pay, stc pay).
- Churn radar that spots slipping cohorts from WhatsApp, social, and POS data.
- Cash conversion cockpit with AP/AR pressure signals and burn forecasts.
- Ops SLA tracker for ticket backlog, delivery delays, and refund loops.
- Call center quality board with coach-level guidance in Arabic and English.
Rapid win plays
- Abandoned checkout rescue with WhatsApp flows that people actually reply to.
- Help desk backlog burn-down weekend (reset queues, automate top FAQs).
- Payment failure drill-down to stop mada or bank declines before payday.
- Warehouse accuracy tune-up: pick errors, restock delays, shrinkage watch.
- Tender sniper briefs: Etimad-ready compliance digest plus pricing hints.
How we work
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.
Who thrives with Ops AI
- Retail, F&B, hospitality brands balancing online and store operations.
- Growth-stage e-commerce on Salla, Zid, Shopify, or custom stacks.
- Contracting, real estate, and field teams juggling site updates and paperwork.
- Clinics and service firms needing consistent client experiences across channels.
Why it sticks after launch
- Saudi-first compliance muscle: PDPL, NDMO, ZATCA built into every workflow.
- Vendor-neutral stance: pick the stack that fits your budget and team.
- Change crews: champions, SOP refresh, micro-learnings inside your tools.
- Ops heartbeat: monthly retros, KPI tune-ups, and fallback plans documented.
- Friendly tone, serious delivery: yes, we can drop a "tahanaina!" when a Najdi team ships a win.
Najdi Ops AI
A small Najdi corner, but an important one.
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.
Add-ons
- Tooling bake-off, pricing negotiation, and proof-of-value scorecards.
- Board-ready monthly "Ops AI Pulse" deck with wins, risks, and next bets.
- WhatsApp rescue library for cart recovery, COD follow-up, and VIP care.
Where it shows up best
- Retail, F&B, hospitality brands balancing online and store operations.
- Growth-stage e-commerce on Salla, Zid, Shopify, or custom stacks.
- Contracting, real estate, and field teams juggling site updates and paperwork.
- Clinics and service firms needing consistent client experiences across channels.
FAQ
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
Ready to stop chasing the operation and start structuring it?
Email alkhunizan@gmail.com or send a short note on the bottleneck. The first job is to identify the clearest operational win.