The problem
Onboarding is where growth meets compliance and both lose: customers abandon multi-day account openings, while ops teams re-key documents and compliance reviews everything because nothing is structured enough to trust.
The system
An onboarding pipeline that extracts and verifies identity documents with confidence scoring, runs screening and risk rules deterministically, assembles the compliance file automatically, and routes only genuine exceptions to analysts — every decision logged, every document traceable, every threshold auditable.
How it's built
- Document verification with per-field confidence; forgery and liveness signals where needed
- Deterministic screening/risk rules with versioned, auditable thresholds
- Case files assembled automatically; exception queue with evidence attached
- Full decision audit trail designed for regulator questions
Delivery
Sprint replays historical onboarding files to measure the automatable share; Build integrates with your core and screening stack.
What to expect
- Onboarding time for clean cases measured in minutes
- Analyst time concentrated on real risk, not paperwork
- A compliance file that assembles itself, consistently
Documented results in the wild
Independent, published deployments of this class of system — cited as market evidence that it works at scale. These are not our clients.
- Standard Bank Automated onboarding/KYC cut account opening from ~20 days to 5 minutes, automating 1M transactions monthly. WorkFusion case study ↗
- HSBC ML screening finds 2–4× more suspicious activity with 60% fewer false-positive alerts across 1.2B+ transactions/month. Google Cloud, 2023 ↗