Names anonymized where engagements are active. Numbers real. Sample from 52 live opportunities in our pipeline across banking, retail, construction, real estate, telecom, and insurance.
12-month AI transformation roadmap for a commercial bank with 500+ employees and 300,000+ retail customers. Every major operational friction point — mapped, prioritized, and solved.
60–70% of 15–25k monthly calls were simple questions stealing time from complex cases.
3–7 days per application. 25–40% of applicants dropped off to competitors.
30–40% of staff time on manual KYC, AML, and regulatory reporting.
€500k–2M in annual fraud losses caught after the fact.
Conversational AI across web, app, WhatsApp, and voice. Handles 60–70% of queries autonomously.
From 3–7 days to 15–30 minutes for 70% of cases. Analysts focus on edge cases only.
KYC onboarding from 2 days to 30 minutes. Compliance reports from 5 days to 4 hours.
Transactions scored in milliseconds. 70–80% fraud prevention.
30+ store chain with €100M+ annual revenue. Food waste was eating 5–8% of revenue. Stockouts cost another 8–12%. We built the forecasting and inventory engines that ended both.
5–8% of gross revenue lost to expiry. €5M+ annually.
Based on previous weeks only — ignoring weather, holidays, events.
8–12% out-of-stock on high-demand products = €3M lost revenue.
Points-based, no personalization, no recommendations. 2–3% conversion.
Per SKU × per store × per day predictions. Weather, events, holidays modeled.
Automated re-order, warehouse-to-store distribution, stock rotation.
Per-customer recommendations, targeted promotions, lifecycle triggers.
Competitive pricing based on market, margin, elasticity. +1.5% margin lift.
500+ employees. Projects across multiple countries. Bid process took 2–3 weeks while competitors won projects in days. Cost overruns detected only after they'd blown budgets. We changed both.
2–3 weeks per bid. Competitors turned around in days and won projects.
Delays and overruns discovered after the fact, costing millions.
10,000+ documents per project. Retrieval took hours. Things got lost.
Manual audits, incidents handled after. Insurance costs climbing.
Trained on historical wins. Full estimate in 1–3 days. Win rate doubled.
Real-time progress vs baseline. ML flags risk 60–90 days ahead.
Semantic search across specs, contracts, RFIs. Seconds, not hours.
PPE compliance monitored live. Unsafe behavior auto-flagged.
400+ employees, €80M+ revenue, 15–20% annual churn eating €2M in lost customer lifetime value. 50k+ monthly support calls, 70% of them trivial.
A top-5 Balkan retail bank with 600k+ active customers needed a mobile app that didn't feel like a 2014 internal IT project. We shipped native iOS and Android in 14 weeks — biometric auth, instant transfers, card controls, and an AI assistant.
Hybrid app from 2018 with 2.6★ rating. 40% drop-off at login.
70% of common operations still required a branch visit.
30k+ monthly support calls, 65% on routine queries.
Card freeze required a phone call. Limit changes took 48h.
SwiftUI + Jetpack Compose. Face ID / fingerprint. Sub-200ms cold start.
Domestic + EU transfers, scheduled payments, QR payments.
Freeze, set limits, region locks, contactless toggle. All instant.
Native Albanian + English. Handles 60% of routine queries end-to-end.
A 30-store grocery chain's loyalty program was a punch-card relic — 5% redemption, no personalization, no data. We built a mobile app that turned 850k loyalty cards into 850k AI-driven relationships, and a margin lever they could actually pull.
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