Critical vendors

6 providers · 3 MATERIAL · live pulse data

Closed-Loop Learning

Semantic AI · self-improving

Vendor assessments trained

47

Materiality accuracy

94%

Baseline (unlearned)

71%

✦ Active

Revenue Pulse Monitor

3 material vendors · continuous signal

Annual exposure: $5.68M
Recoverable: $5.19M
FCA material: 3 flagged
● Live

Material vendors

FCA threshold— revenue impact calculated · Decision Twin available

Stripe

MATERIAL

Card payments

Needs attention

Cert expired 11 days ago. Renewal requested. Could delay one deal if not fixed by next week.

Regulatory basis

PCI-DSS 12.8 — Critical supplier oversight required

Latency142ms
Error rate0.3%
Success94.1%
1 min ago

Revenue impact detected

Current approval rate gap vs 99.5% baseline

$4.47M

annual loss

-5.9% approval rate·180,000 tx/mo·$420 avg value
Full detail →⚑ Action required

Onfido

MATERIAL

Identity verification

Healthy

All checks current. Heads up: 78% of identity volume runs through them — consider adding a backup.

Regulatory basis

FCA SYSC 8.1 — Critical Third-Party threshold exceeded

Latency680ms
Error rate0.8%
Success99.2%
2 min ago

Revenue impact detected

Pass rate 2.1% below optimal — customers abandoning on friction

$1.21M

annual loss

-2.1% approval rate·45,000 tx/mo·$850 avg value

AWS

MATERIAL

Infrastructure

Healthy

Verified today. Multi-region setup. No action needed.

Regulatory basis

FCA Operational Resilience — Impact Tolerance thresholds

Latency8ms
Error rate0.01%
Success99.99%
30 sec ago

Standard vendors

Plaid

Bank data

Healthy

Coverage at 79% — add their latest pen test report when it's available.

Latency320ms
Error rate0.4%
Success96%
5 min ago

Datadog

Monitoring

Healthy

Low risk, well covered. Nothing to do.

Latency45ms
Error rate0%
Success100%
10 min ago

Auth0

Sign-in

Healthy

All current. Next review due in 8 weeks.

Latency95ms
Error rate0.05%
Success99.95%
4 min ago

Add a vendor to trigger AI assessment

Materiality: FCA SYSC 8.1 · Revenue formula: (Approval Delta) × (Volume × Avg Value) · Decision Twin: deterministic · Assessments train RAVIQ via closed-loop learning