Simple features often outperform complicated graphs. Time-to-accept, first-day variability, dispute wording, and device hygiene predict churn and chargebacks better than broad demographics. We share interpretable scorecards that product managers can explain, defend, and iterate without disappearing into opaque model rituals.
Coordinated fraud leverages promo abuse, synthetic identities, SIM farms, and mule accounts. We detail graph expansions that catch clusters while sparing legitimate families or co-workers sharing addresses and devices. Clear appeals and fast re-verification convert early mistakes into loyalty rather than public blowups.
Automated systems stumble on nuance—caregivers paid by relatives, contractors fixing their own property, or multilingual misunderstandings. Equip reviewers with context-rich timelines, reversible actions, and empathetic scripts. Balanced judgment protects revenue and dignity simultaneously, building the kind of reputation machines cannot manufacture alone.
Replace brittle cron jobs with events that capture intent and outcome. Each step—authorization, capture, payout, reversal—emits auditable facts, enabling precise retries and customer updates. Teams sleep better when the system explains itself instantly, without spelunking across dashboards and speculative manual fixes.
Dashboards should mirror customer feeling, not vanity throughput. Alert on time-to-money, refund latency, and payout success by corridor, with humane budgets preventing alert fatigue. A single narrative timeline unites product, risk, and finance during tense moments, aligning decisions under pressure.
Practice matters. Run realistic drills with banking partners and vendors, agree on fallback cutoffs, and maintain a shared phone tree. After action, memorialize learnings in living docs and update runbooks. The goal is humility, not heroics, and customers will notice the difference.