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Back to the course pageIllustrative example · fictional company, for format reference only
RegTech Integration Map
Solstice Pay Pte Ltd
Top-Scoring Option Strong fit
No single platform fully covers both legs of Solstice Pay Pte Ltd's workflow: ML-assisted transaction monitoring for cross-border remittances (crypto off-ramp and fiat leg). The strongest single option, Chainalysis Reactor, still needs a fiat-side sanctions-screening pairing to close the gap the lowest-scoring dedicated option highlights.
| Integration option | Score | Fit | |
|---|---|---|---|
| Chainalysis Reactor | 12 / 15 | Strong fit | |
| Elliptic Navigator | 11 / 15 | Strong fit | |
| ComplyAdvantage | 9 / 15 | Partial fit | |
| In-house rules engine + generic ML overlay (status quo) | 5 / 15 | Weak fit |
Recommended: Chainalysis Reactor + ComplyAdvantage, paired
Chainalysis for the crypto off-ramp leg's on-chain tracing, ComplyAdvantage for the fiat leg's sanctions and PEP screening, integrated through one case-management layer rather than run as two disconnected alert queues an analyst has to reconcile by hand.
Twelve out of fifteen for Chainalysis Reactor looks like a clear winner until you read the note beside it, and that gap between the number and the note is deliberately where I'd stop a room, not past it. A score built from blockchain traceability and sanctions-matching strength is a real score, but it is only measuring the crypto off-ramp leg of Solstice Pay's workflow. The fiat leg, the SGD and foreign-currency payout side of every remittance, is where ComplyAdvantage scores highest and Chainalysis scores weakest, and no vendor on this page covers both legs well. That is not a gap in the scoring, it is the actual shape of the RegTech market for a payments institution running a hybrid crypto-and-fiat corridor, and I would rather a participant see that plainly on page one than discover it eight months into a single-vendor procurement.
Elliptic Navigator sitting one point behind Chainalysis is a closer call than the numbers alone suggest. Its on-chain risk scoring is genuinely comparable, and in three of the engagements I have run this comparison for, Elliptic's alert-explanation output was easier for a junior analyst to act on without escalating, which the scoring criteria here does not capture directly because it is not one of the four scored dimensions. I flag this deliberately: a scored comparison narrows a decision, it does not replace the judgement call at the end of it, and this is exactly the kind of soft factor the session pressure-tests once the numbers are on the table.
The status quo scoring a 5 is the number that should actually drive the room's urgency, not the vendor comparison above it. Eighteen months without a threshold retraining on a live transaction-monitoring rules engine is not a neutral baseline, it is an actively decaying one, because transaction volume and typology both shift under a static rule set. Every option above it is being scored as an improvement against a baseline that has already drifted, which means the true delta between "do nothing" and "adopt Chainalysis plus a fiat-side pairing" is understated on this page, not overstated.
My recommendation, and the one this course builds live for a real workflow, is the same pairing I would have written eighteen months ago at my own institution: Chainalysis for the crypto leg, ComplyAdvantage for the fiat leg, integrated through one case-management layer rather than run as two disconnected alert queues an analyst has to reconcile by hand. A disconnected pairing creates its own new false-positive source, duplicate alerts on the same transfer from two systems that don't talk to each other.
Solstice Pay Pte Ltd, its scores and its workflow are invented for this sample only, to show the shape of the output, not a real client's actual procurement decision.
MAS-Facing Audit-Readiness Checklist
The four questions a MAS inspection actually asks, built from fifteen years as MLRO and MAS liaison, answered here for Solstice Pay Pte Ltd's example workflow: ML-assisted transaction monitoring for cross-border remittances (crypto off-ramp and fiat leg), not left as an abstract framework.
Every alert the model generates, dismissed or escalated, is logged with the model's confidence score, the reviewer's decision, and a timestamped reason code. For the remittance workflow, dismissed-alert logs are retained for five years, matching MAS record-keeping expectations under the Payment Services Act; the gap Solstice Pay still has is that reason codes for dismissals before the retraining above are free text, not a controlled list, which slows down a sampled inspection review rather than blocking it.
Not yet, against a defined baseline specific to this model version. Alert volumes are reviewed monthly, but the eighteen-month-old threshold set was never re-baselined after the last retraining, so a claimed improvement in false-positive rate since then cannot be credibly separated from normal transaction-volume growth. Setting that baseline is the first item on the roadmap opposite.
The Senior Transaction Monitoring Analyst has first-line authority to override a model-generated risk score, with every override logged and reviewed weekly by the MLRO. An override rate climbing past 15 percent of total alerts in a given week triggers a mandatory model-tuning review rather than being allowed to continue as a silent workaround.
A quarterly red-team exercise runs synthetic structuring patterns, layered transfers just under the reporting threshold, through the live model and confirms detection before the exercise's results are filed. Solstice Pay has run this twice; the second run flagged a genuine blind spot in transfers split across three or more linked beneficiary accounts, now item one on the implementation note opposite.
Read these four questions in the order MAS actually asks them, not the order that feels most comfortable to answer, and Solstice Pay's honest gaps become the useful part of this page, not the embarrassing part. Question one, the dismissed-alert audit trail, is the one every institution I have inspected assumes it has covered because escalated alerts are well documented. Dismissed alerts are the blind spot, because nobody reviews a decision not to act with the same rigour as a decision to act. Free-text reason codes are a genuinely common finding, not a hypothetical one, and the fact that Solstice Pay already retains five years of dismissed-alert logs means the fix here is a data-quality project, not a build-from-scratch one. I would tell a room this is a good problem to have relative to where most institutions start.
Question two is where I would push back hardest in a real engagement, and I want to be specific about why. "Reviewed monthly" is not the same claim as "measured against a baseline," and MAS inspectors know the difference, because a monthly review without a fixed reference point can show a stable or improving trend purely from transaction-volume growth diluting the alert rate, with the model's actual precision unchanged or worse. An eighteen-month-old threshold set with no re-baseline is exactly the scenario an inspector is trained to probe, and Solstice Pay's honest "not yet" here is the right answer to give rather than a fabricated baseline retrofitted to look complete.
Question three, the override authority and its 15 percent trigger threshold, is doing real work that I'd defend as written. A named override authority with a mandatory review trigger is precisely the control MAS wants to see evidence of: not that the model is never wrong, but that a human is accountable when it is, and that persistent disagreement between model and analyst is a signal the institution acts on rather than absorbs silently.
Question four is the one I'd spend the most time on with Solstice Pay's team directly, because a red-team exercise that actually finds a blind spot, the three-or-more linked-beneficiary structuring gap, is worth more than three exercises that find nothing. Most institutions run red-team exercises as a compliance checkbox and are quietly relieved when nothing surfaces. Finding a real gap on only the second run, and having it already routed into both the checklist and the implementation note opposite, is what a MAS inspector is actually screening for: not a perfect record, but a functioning feedback loop between testing and remediation.
Solstice Pay Pte Ltd and every answer above are invented for this sample only, to show the shape of the output, not a real institution's actual inspection record. In the session, this checklist is built from the workflow a participant brings, not assigned from a template.
Drafted Implementation Note
Built for Solstice Pay Pte Ltd's example workflow above, structured so the compliance function can act on it immediately, not filed as a strategy memo.
Scope & workflow boundary
Applies to the cross-border remittance workflow only: crypto off-ramp conversions and the linked fiat payout leg.
Does not extend to domestic peer-to-peer transfers or merchant settlement, which sit on a separate, lower-risk monitoring rule set.
Data inputs & model
On-chain wallet-risk score from the RegTech integration layer, KYC tier, and 90-day transfer-pattern history feed the model's risk band.
Model output is a preliminary risk band, not an auto-decline; every High band routes to a named reviewer, never straight to a hold on funds.
Escalation, override & audit trail
Every override of the model's risk band is logged with a reason code and reviewed weekly by the MLRO, per the checklist opposite.
The three-or-more linked-beneficiary structuring blind spot found in the second red-team run gets a manual secondary rule until the model is retrained.
Sign-off & review cadence
The Senior Transaction Monitoring Analyst owns day-to-day operation; the MLRO owns the model's overall performance against the baseline.
Model performance against the newly set baseline is reviewed monthly for the first quarter, then quarterly thereafter.
The order of these four sections is not incidental, and I'd want a participant to notice that scope comes before data and model, not after. Naming the workflow boundary first, cross-border remittances only, crypto off-ramp plus fiat leg, explicitly excluding domestic transfers and merchant settlement, is what stops an implementation note from quietly scope-creeping into a rebuild of the entire monitoring stack. I have seen exactly that scope creep sink a nine-month project at a bank I advised: an implementation note that started as "fix false positives on remittances" became, six months in, "replace the transaction-monitoring platform," and the original problem was still unsolved when the budget ran out. Solstice Pay's note doesn't make that mistake.
The data-and-model section's clearest sentence is the one about the model output being a preliminary risk band, not an auto-decline. That single design decision is what keeps this whole implementation defensible to a regulator: the cost of a wrong classification is a routing delay to the wrong reviewer, not an unchecked hold on a customer's funds or, worse, a missed genuine structuring case. Every other decision on this page, the override authority, the audit-trail requirement, the red-team cadence, is downstream of that one boundary holding.
Escalation and override is where I'd want a harder look than the note currently gives it, specifically on the manual secondary rule patched in for the linked-beneficiary blind spot. A manual rule bridging a known gap until the model is retrained is the right immediate move, not a permanent one, and this note is honest that it's temporary. What it doesn't yet state, and what I would add before this went to Solstice Pay's board, is a hard date by which that manual rule either gets retired into the retrained model or gets formally reviewed and kept, because manual patches that never get revisited are exactly how monitoring systems accumulate the kind of undocumented exceptions a MAS inspection flags on sight.
Sign-off and review cadence closing the note, rather than opening it, is a deliberate structural choice I'd defend: a reader needs to understand the scope, the mechanics and the escalation path before the ownership split between the analyst and the MLRO makes sense. Monthly review for the first quarter, stepping down to quarterly, is the right cadence for a system this early into a re-baseline, tight enough to catch a bad retraining fast, loose enough not to consume the compliance function's entire calendar.
Solstice Pay Pte Ltd and this note's specific sections are invented for this sample only, to show the shape of the output, not a real client's actual implementation record.
A Concrete Path to Reducing False Positives
The integration map, checklist and implementation note above, brought together into one sequenced plan, ordered so detection is proven before it is trusted, not by department.
- Set a dated false-positive-rate baseline for the current rules-engine threshold before any retraining begins.
- Convert dismissed-alert reason codes from free text to a controlled list, so the audit trail supports a sampled inspection review.
- Patch the three-or-more linked-beneficiary structuring blind spot with the manual secondary rule from the implementation note.
- Integrate Chainalysis Reactor for the crypto off-ramp leg, bridged into the existing case-management ticketing system.
- Retune ComplyAdvantage's fiat-side alert thresholds specifically against Solstice Pay's SGD and foreign-currency corridors.
- Run the paired Chainalysis and ComplyAdvantage workflow in shadow mode alongside the existing rules engine, generating alerts without acting on them.
- Compare shadow-mode false-positive and detection rates against the Weeks 1–4 baseline before switching the paired workflow live.
- Cut over to the paired workflow only once detection of the structuring typology matches or exceeds the rules-engine baseline.
- Re-run the red-team structuring exercise against the live paired workflow and file the result with the MLRO's quarterly review.
The reason this roadmap runs baseline, then integration, then cutover, and not straight to cutover, is that Weeks 1 to 4 produce the one artefact every later phase depends on: a dated false-positive rate measured against the current, un-retrained rules engine before anything changes. Skip that step, and Solstice Pay ends up in the position I have seen more than once, unable to tell a board or a regulator whether a new pairing of vendors actually improved detection or whether the numbers just moved because transaction volume shifted in the same window. I would not sign off on Weeks 5 to 8 starting before that baseline is dated and filed.
The reason patching the linked-beneficiary structuring blind spot sits inside Weeks 1 to 4, alongside the baseline work rather than waiting for the new vendor integration in Weeks 5 to 8, is that a known detection gap does not get to wait for a procurement timeline. A manual secondary rule is a blunt instrument, but it closes the gap this week, not in two months, and that sequencing choice is the one place on this roadmap where I would tell a room to prioritise speed over elegance without hesitation.
Weeks 5 to 8's shadow-mode requirement, running the new paired workflow alongside the existing rules engine without acting on its alerts, is the phase most likely to get compressed under budget pressure, because it produces no visible change to the customer-facing process and looks, from a status update, like nothing is happening. It is nonetheless the phase that prevents the single most common vendor-integration failure I've watched teams make: cutting over to a new system's alert output before confirming it actually catches what the old system caught, and only discovering the gap after a genuine case slips through.
Weeks 9 to 12 is where the entire plan gets tested against its own stated goal, not a generic go-live date. The cutover condition, that detection of the structuring typology must match or exceed the Weeks 1 to 4 baseline before the paired workflow goes live, is the guardrail that keeps "reduce false positives" from silently becoming "reduce alerts" without anyone checking whether genuine detection held. That distinction, a lower false-positive rate that comes from genuinely better precision rather than a quieter, less sensitive model, is the entire point of this course, and re-running the red-team exercise in Week 12 against the live paired workflow, not the shadow-mode version, is what proves it rather than assumes it.
Every score, quote and figure on these four pages is invented for Solstice Pay Pte Ltd, a fictional company, so the format of what a participant leaves with can be judged before enquiring. It is not a real client's deliverable, and no institution named Solstice Pay Pte Ltd is a Praxora Lab client. The session itself scores your own organisation's own workflow, in the room, on the day.
3.5 hours, one session, facilitated by Jason Lee.