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.

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What Ops AI delivers

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.

Why Ops AI sticks

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.

How we work

1
Discovery Call (free, 30 mins)
Map the friction points and score AI readiness (0-100).
2
Ops AI Audit (2 weeks, fixed scope)
Process map, data health, quick wins, ROI model.
3
Pilot-to-Production (4 weeks)
Configure tools, connect systems, train teams, launch dashboard.
4
Scale & Sustain (quarterly)
Backlog shaping, governance, cost and quality guardrails.

Najdi Ops AI

Najdi Ops AI corner

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.

Browse the Najdi prompt library

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.

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.

Promise

You keep the customer promise; Ops AI handles the repeat work, surfaces the signal, and keeps regulators at ease. You own the tools, the data, and every playbook we build together.

Ops AI is the retail & F&B flavor of a broader consulting practice — AI for daily SME workflows. Same principles, different shape of day.

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.