Your monitoring vendor fires the alert. Everything after it — pulling account context, checking it against the KYC profile, resolving on-chain counterparties, and writing a narrative that survives examination — still costs your team hours per case.
Novaheim builds the AI systems that do that work. Every determination cites its source. Your officer signs every one.
Every engagement starts with a paid one-week diagnostic — your top five automation opportunities, mapped and ranked, before any build begins.
BSA/AML · OFAC · FinCEN · FATF Travel Rule · GENIUS Act · FINTRAC · FCA / MLR 2017 · EU AMLR · State MTLThe alert is the cheap part.
A decade of vendor spend went into detection. The cost never lived there — it lives in the hours after the alert fires, and it scales with every customer you add.
One report ties up a senior analyst for most of a day, at $350–700 fully loaded. SAR work consumes 30–40% of a mid-market compliance team’s total hours.
Analysts spend their days clearing noise. Tuning alone won’t fix it — the fragmented data underneath the detection logic is what keeps regenerating the alerts.
Every corporate customer is a file that has to be rebuilt on a refresh cycle. Ongoing review — not onboarding — is where regulators find the failures.
No extensions. When alert volume outruns team capacity, the backlog isn’t an efficiency problem. It’s a finding in an exam report.
Novaheim clears the work that doesn’t need judgment — assembling the evidence, resolving the counterparties, drafting the narrative — so your analysts spend their hours on the cases that do.
Every step leaves an audit trail. Every determination cites its source. Your officer makes the call, exactly as they do today.
Each system is built for your workflows, your regulatory environment, and the tools you already run. Fiat rails and on-chain, in the same case file.
Automated triage of AML alerts and exceptions across every rail your customers use. The system clears the noise your analysts shouldn’t touch and escalates real risk with the reasoning attached.
Discover, diagnose, build — three phases, each with a concrete deliverable and an exit ramp at every stage.
We map your workflows, technology, and team capacity to find the opportunities that move the needle. You leave with a ranked AI Opportunity Report — whether or not you continue.
A paid one-week Compliance Automation Diagnostic: three interviews, a full review, and a scored roadmap of your top five automation opportunities. The fee credits toward your first build.
Implementation begins — built around your existing tools, delivered with documentation and training. Your team owns it completely. No platform lock-in.
| Novaheim | Generic AI Agency | Hire an Analyst | Off-the-Shelf Tool | Do Nothing | |
|---|---|---|---|---|---|
| Covers fiat rails and on-chain | ✓ | ✕ | ~ | ✕ | ✕ |
| Understands BSA, OFAC, FinCEN, Travel Rule, AMLR | ✓ | ✕ | ✓ | ~ | ✕ |
| Audit trail on every determination | ✓ | ✕ | ~ | ~ | ✕ |
| Runs in your environment, you own it | ✓ | ~ | ✓ | ✕ | ✕ |
| Built around your existing tools | ✓ | ~ | ✓ | ✕ | ✕ |
| Live in weeks, not quarters | ✓ | ✕ | ✕ | ~ | ✕ |
| Adoption support in scope | ✓ | ~ | ✓ | ✕ | ✕ |
| Available in-house full time | ✕ | ✕ | ✓ | ✓ | ✕ |
| Cost model | Scoped projects | Hourly burn | $150K+ salary | $2–5K/mo + gaps | Mounting risk |
Every system integrates with the tools your team already uses. No new platforms to learn. No rip-and-replace.














We spend 30 minutes on your compliance operation — alert volume, false-positive rate, where the hours concentrate, and what your next exam or audit looks like. If there’s a fit, the next step is a paid Compliance Automation Diagnostic: one week, three interviews, and a ranked roadmap of your top five automation opportunities. No generic pitch deck. No obligation.
A paid one-week engagement that maps your compliance program before any system is built. Three structured interviews, a full review of your workflows, and a ranked list of your top five automation opportunities with a phased build roadmap. The fee is credited in full toward your first build — the lowest-risk way to see exactly where AI fits before you commit.
Both — because under US law they’re frequently the same thing. A licensed payment company and a digital asset platform typically register with FinCEN as MSBs, run BSA/AML programs against the same pillars, and file SARs under the same 30-day deadline. What differs is the data.
Most compliance stacks handle fiat transaction data well and go blind at the chain boundary. We work across both — which matters more every quarter, as stablecoin flows land in companies that were never built to investigate them.
Into your environment, and nowhere else. Systems run in your cloud tenancy. Models are accessed through AWS Bedrock or Azure OpenAI inside that tenancy — customer data is not sent to third-party model providers and is not retained for training. We document the full data flow before any build begins, in a form your sponsor bank’s third-party risk review can evaluate directly.
Every system is built for your firm — not a shared platform, not a generic tool with your logo on it. It runs in your environment, integrates with the tools you already use, and ships with full documentation and training. Your team owns it completely. No platform subscription, no lock-in.
Every determination the system produces cites its source, and every step leaves an audit trail. Filing decisions stay with your BSA Officer, documented exactly as they are today.
Minimal. After the discovery call, we handle the technical work. Most builds require 3–5 hours of your team’s time across a few weeks for workflow input and review. You stay focused on your product and your users. We come to you only when a decision requires your judgment.
We measure against your baseline from day one, so ROI is concrete rather than claimed. The diagnostic establishes that baseline — alert volume, false-positive rate, hours per case, time-to-file — before anything is built. Most firms have never measured these, which is why the diagnostic is useful whether or not you continue with us.
The common wins show up within the first month: fewer false positives reaching analysts, faster case throughput, and shorter time from determination to filing.
Most AI tools fail for one of two reasons: they solve the wrong problem, or nobody adopts them. We avoid the first by starting with a specific workflow that’s already costing you measurable hours. We avoid the second by building around how your team actually works — and staying through adoption before we step away.
The deeper reason off-the-shelf tools underperform here is that they sit on top of fragmented data. Detection quality is limited by what the system can see, and most stacks can’t see across fiat and on-chain in the same case. That’s the layer we build.
Primarily US. We take selected engagements in English-operating markets where we can read every artifact the system produces — including the UK, Ireland, Canada, and much of EU fintech, where compliance functions run in English.
If your filing language isn’t English, we’ll tell you on the first call rather than three weeks in. In that case we can still build triage, KYB review, screening adjudication, and on-chain context — everything except regulator-facing narrative drafting.
Let’s find the highest-impact workflow and build the system that eliminates it.
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