AMI is the platform that turns ATM deployment and closure decisions from gut feel into validated insight — backed by real data, spatial intelligence, and AI.
A single ATM costs SAR 150–250K per year to operate. If it's in the wrong location, that's the bill for a bad decision — repeated every year for the life of the lease. Most banks cannot answer: "Are our ATMs in the right places?"
Every new ATM is a 3–5 year commitment. The lease alone is SAR 50–120K/year. Choosing the right location is the single highest-leverage decision your ATM team makes.
A wrong closure doesn't just save costs — it leaks cardholders to competitors. Once they switch, they rarely come back. The cost of a bad closure is permanent revenue loss.
Find competitor ATMs where your own cardholders are already withdrawing — and you're paying interchange for it. Place your ATM nearby and recapture those transactions.
Evaluate your ATM operation, data sources, infrastructure, and performance gaps. Establish a clear baseline before any transformation.
Deployment and closure recommendations, competitive landscape analysis, and network optimisation planning backed by data.
Independent vendor assessment, performance evaluation, and strategies to reduce vendor dependency and lock-in.
ATM rollout coordination, migration planning, vendor management, timeline control, and stakeholder reporting.
AMI is not a chatbot bolted onto a dashboard. It is a purpose-built intelligence engine where over ten distinct AI disciplines work together — each one solving a specific class of problem that ATM teams face every day.
No SQL, no IT tickets. Ask any question about your ATM network and get an explained, sourced answer in seconds.
Model how cardholders choose ATMs, segment behaviour patterns, and predict demand shifts — before they happen.
Score every potential site, map competitive landscapes, and predict competitor closures — then deploy with confidence.
Detect transaction shifts, equipment failures, and unusual patterns automatically — your team acts on signals, not surprises.
The AI does not hallucinate. It searches your actual data, references proven query patterns, and cites its sources.
A 1,000-ATM network spends SAR 150–250M per year to operate. Here's how AMI impacts that number.
Estimates based on industry benchmarks for a 1,000-ATM network. Actual impact depends on network maturity and data availability.
The platform is only as good as the foundation it runs on. That's why every AMI engagement starts with a structured advisory phase.
Typical duration: 6–10 weeks
This is what stays after the engagement ends.
Consultants give you a report and leave. We give you a report AND a platform that keeps working.
| Capability | Consultants | NCR / Diebold | Tableau / Power BI | AMI |
|---|---|---|---|---|
| Site suitability scoring | One-off report | × | × | ✓ Live & validated |
| Closure impact simulation | × | × | × | ✓ Cardholder-level |
| Per-ATM profitability (P&L) | × | Basic | Build it yourself | ✓ 4-level, built-in |
| AI natural language queries | × | × | Limited | ✓ Banking-domain |
| KSA-calibrated model | Varies | × | × | ✓ Live bank validated |
| Advisory + platform | Advisory only | Platform only | Platform only | ✓ Advisory builds the platform |
| On-premise deployment | N/A | Varies | Cloud-first | ✓ Full data sovereignty |
| Cost | SAR 2–5M per engagement | License + consulting | License + build cost | Advisory + platform subscription |
Explore AMI's capabilities in a live demo environment.
Start with a ATM network review. See what becomes visible.