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Neuralogic builds Autonomous Digital Employees - custom, single-tenant AI systems that replace full roles across AML, fraud, KYC, underwriting, and back office. Not scoring APIs. Not chatbots. Roles.
Your AML team handles 5,000 to 15,000 alerts a month. Roughly 95% are false positives generated by a vendor's generic typology engine - tuned on someone else's customer base, not yours. Every alert burns 30 to 90 minutes of analyst time. Your queue grows faster than you can hire.
You've accepted this as the cost of being a bank. So did every institution behind the last decade of BSA/AML consent orders. The backlog is the leading indicator. The enforcement action is the trailing one.
Choose carefully. You are choosing a decade of examination posture, compliance cost, and false-positive economics.
| Dimension | Humans | Multi-Tenant AML PlatformsVendor models trained on shared data, sold identically to every bank - including your direct competitors. | Neuralogic ADEs |
|---|---|---|---|
| What it is | AML analysts, BSA officers, KYC reviewers | Vendor-trained scoring + case management | Custom, single-tenant digital roles |
| Pricing model | $75K-$130K fully loaded per FTE | $1-$15 per alert + per-seat licenses | Fixed platform + per-ADE, no seat cap |
| Setup time | 3-6 months to hire, 12 months to productive | 6-12 months to integrate and tune | Approx 8 weeks to beta, approx 12 weeks full role live |
| Model ownership | N/A | Vendor's model, trained on shared data | Your model, your data, your weights |
| Typology calibration | In analyst heads, inconsistent | Generic - vendor's national baseline | Your customer base, your geography, your products |
| False positive rate | Inherits vendor's baseline (~95%) | ~85-95% - vendor model, generic tuning | 40-60% lower vs. generic baselines |
| SAR narrative drafting | Hours per filing, manual | Templated, examiner often pushes back | Citation-linked, examiner-ready, end-to-end |
| Examiner audit trail | Handcrafted, inconsistent | Vendor-dependent, opaque to bank | Native, citation-linked, fully transparent |
| Runs while you sleep | No | Partial - alert generation only | Yes - full disposition workflow, 24/7 |
| Replaces the role | N/A | Explicitly no - "augmentation only" | Yes - full workflow, end-to-end |
| Speed vs. human baseline | 1× | 2-4× on triage only | 20-80× on full disposition |
| Competitive position | None - every bank hires the same way | None - your rival runs the same model | Full - no other bank can access your ADE |
| 3-year TCO per role | $225K-$390K per FTE | $200K-$1.2M in fees + still need FTEs | 60-75% reduction vs. human role |
The industry won't say this, so we will: if your AML vendor scores alerts the same way they score your competitor's, your false positives are someone else's problem to solve. They won't.
Continuous alert disposition across transaction monitoring, sanctions, and customer behavior - investigated, documented, and escalated against your bank's typologies, not a vendor's national template.
Replaces 70-85% of Level 1 and Level 2 analyst workload. Your queue clears overnight, every night.
Automated CIP, EDD, and beneficial ownership verification at onboarding and periodic review, with examiner-ready audit trails end-to-end.
Replaces the queue. Onboards at fintech velocity. Audit trail built for OCC, FDIC, NCUA, FinCEN.
Real-time transaction monitoring, pattern matching across channels, alert triage tuned to your bank's customer base - not a vendor's generic model.
Your model. Your customer base. Your fraud typologies. No shared cloud.
Continuous underwriting across consumer, commercial, and SBA pipelines - policy rules, risk scoring, document verification, decision memo generation - calibrated to your bank's risk appetite.
Replaces 60-80% of underwriter workload. Decisions in the time it takes a fintech to clear onboarding.
Automated extraction, classification, and verification of loan package documents - tax returns, financials, title, appraisal, entity docs - end-to-end.
What two FTEs do in a week, the ADE does in an afternoon.
Call report, HMDA, CRA, BSA, and board packet compilation - continuous, reconciled to the general ledger, audit-ready.
The compliance function becomes a system, not a quarterly fire drill.
Your model is yours. Trained on your customer base, your transaction patterns, your geography. Your data never touches another bank's workflow. No competitor - including your direct rival across town - can buy, rent, or replicate it.
Multi-tenant AML platforms tune to a national baseline. That is the root cause of your 95% false positive rate - the model is detecting patterns from someone else's customer base, not yours. An ADE encodes your customer behavior, your products, your risk appetite, and your policies into software that runs continuously. The false positive reduction is not a feature. It is a consequence of single tenancy.
We do not sell copilots. We do not sell decisioning APIs. We replace entire human roles, end-to-end, with examiner-ready audit trails and human-in-the-loop approval rails where judgment matters.
Not 72 hours. Not "instant API." Real custom software requires real engineering. What we deliver in approx 8 weeks is a production-grade digital role that would take a SaaS platform 3 years of feature requests to match - and they still would not build it for you.
Our ADEs have replaced roles across 20+ industries, 10+ departments, and 440+ mapped functions. Banking is the industry where single-tenant ownership matters most - and where we build the sharpest edge.
Every vendor claiming 72-hour deployment is selling you a form over their own template. You are configuring their product. You are not getting software. You are getting permissioned access to theirs - next to your direct competitors, scored against the same national baseline that produced the false positives in the first place.
Neuralogic builds in approx 8 weeks because we are writing your bank's operating logic from scratch, on your data, inside your tenancy. It is the difference between renting a desk in a co-working space and building your own floor. One is faster to sign. The other compounds for a decade - and an examination cycle.
Role mapping across AML, fraud, KYC, lending, and back office. ADE priority queue. ROI model tied to alert volume, false positive rate, and labor cost.
Architect each ADE. Data sources, core integrations, typology calibration, approval rails, examiner audit trails, outputs.
Build, integrate, test. Beta launch with human-in-the-loop rails live and examiner-ready documentation in place from day one.
Tune performance, retire rails as confidence grows, expand ADE footprint across the bank.
Average contract-to-beta: approx 8 weeks. Full role live: approx 10-12 weeks.
A 60-minute executive briefing. No deck. No pitch. A working diagnosis of where an ADE replaces the next hire your bank was about to make - and where it closes the false positive gap your examiners will eventually flag.
Private equity and venture capital firms deploy Neuralogic ADEs across portfolio companies to eliminate redundant back-office headcount at roll-ups, compress diligence and reporting cycles, and install a uniform operating layer from day one of ownership.
One engagement. One operating model. Deployed across every portfolio company that needs it - underwriting, accounting, compliance, operations.
Visit privateequity.neuralogicgroup.com →