Flagship Case
Can Security Drive Growth?
Consumer Fintech — Employee-Purchase E-Commerce Platform
01 / Problem
Bot attacks were hitting checkout and account takeovers were eroding customer trust.
0
bot attacks / month
02 / Diagnose
KPI-Driven Opportunity Map
From impediment to AI capability, each tied to a measurable target.
Weak identity verification
$200K/month lost to account takeovers
Cut account takeovers 90%
58 → ≤6 per month
AI anomaly detection + behavioral biometrics
Broken payment integrations
false alerts, failed checkouts
Stabilize checkout
Zero false security alerts
Real-time threat analytics
Heavy password-reset volume
1M per year
Cut reset support cost 50%
Halve reset-related support cost
Adaptive MFA + ML-based account recovery
Every capability ties back to a measurable business problem.
03 / Prioritize
#1
Self-service identity verification — the biggest RICE payoff
RICE prioritization
$850K freed to fund AI defenses| Rank | Initiative | Reach | Impact | Confidence | Effort | RICE Score | Decision |
|---|---|---|---|---|---|---|---|
| #1 | Self-service identity verification | 8,000 | 3 | 80% | 4 | 4,800 | Build now |
| #2 | Payment integration fixes | 6,000 | 2 | 90% | 3 | 3,600 | Build now |
| #3 | Front-end UX overhaul | 5,000 | 1 | 60% | 6 | 500 | Defer |
| #4 | Low-margin product categories | 2,000 | 0.5 | 50% | 5 | 100 | Cut |
RICE = (Reach × Impact × Confidence) ÷ Effort. Reach = users per quarter; Impact on a 0.5–3 scale; Effort in person-months.
04 / Architect
Agentic AI embedded in checkout
Request simulator
Pick a request type to trace the path through checkout.
Higher score = higher risk.
Bot attack defense
Launch a wave of bots and watch checkout hold steady.
0
bots blocked
Checkout conversion
05 / Result
Account takeovers per month
Account takeovers cut 90%, a year ahead of target.