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Autonomous execution, full governance

WIDTH's AI reasons directly from identity, transaction, device, and network signals — not from a summary a legacy rule already produced. Every decision cites its evidence, every action links to a policy clause, every trace is examiner-ready.

WIDTH AI reasoning dashboard
100%
Explainable decisions
Every model output ships with input features, rule chain, confidence score, and the policy clause it matched — MAS FEAT and EU AI Act aligned.
<100ms
Agent decision latency
Median latency from raw transaction event to scored, policy-matched decision — measured across live production workloads.
0
Black-box models
No opaque third-party scores. Every model is owned by WIDTH, versioned in Git, and reviewable by your risk committee before deployment.
7yr
Immutable audit retention
WORM-grade evidence store indexed by case, customer, reviewer, and model version — satisfies MAS Notice 626 and AMLD6 retention requirements.
How the AI works

Reason, decide, explain

Three loops run in parallel on every customer and every event — no context lost between onboarding, monitoring, and investigation.

Reasoning Loop

Continuous risk graph on every customer

Ingests KYC data, every transaction, device signals, and network connections — then updates the customer risk graph in real time. Analysts see the same graph the AI uses, annotated with current risk hypotheses and the 40+ signal sources behind them.

Explore the graph →
Reasoning graph
40+
Signal sources
Real-time
Graph updates
360°
Customer view
Decision Loop

Acts within written policy

Every AI action — clear, hold, escalate, file SAR — executes against your defined policy ruleset. No action outside policy scope is possible; FATF Rec 16 and MAS Notice 626 rule templates ship out of the box.

See policies →
Explanation Loop

Writes the rationale

Generates plain-English rationale for every flag — citing specific transactions, entity links, and the rule reference that triggered the alert. Your MLRO reads a defensible narrative, not a score.

See a sample →
Human-in-the-loop

Routes only genuine ambiguity

Auto-clears low-risk events, auto-holds confirmed sanctions hits, and escalates only the cases that require analyst judgment. Reduces analyst queue by 95% without removing human oversight from high-risk decisions.

How cases work →
Model Governance

Version, review, roll back

Every model change is versioned, signed by a reviewer, and deployed only after your risk committee approves. Roll back to any prior version in one click — full change history retained for regulatory examination.

See governance →
Drift & Bias

Drift caught before it ships decisions

Every model run measures input distribution shift, output drift, and demographic fairness deltas — alerts your model risk team before drift breaches MAS FEAT, EU AI Act §15, or NIST AI RMF thresholds. No silent degradation in production.

See model risk →
AI-native vs. AI-bolted-on

Retrofitted AI creates audit debt

Most vendors add an LLM on top of a legacy rules engine. The result: faster outputs with no traceable chain of reasoning — and examiners from MAS or the FCA who cannot sign off on the evidence.

AI bolted on
Fast, but unexplainable.
  • LLM summarises an output a legacy rule already produced
  • No access to upstream features, raw signals, or policy clauses
  • MAS/FCA examiners cannot reconstruct the decision chain
  • Model version changes are invisible to your compliance team
  • Prompts drift silently across vendor releases — no change log
AI-native (WIDTH)
Fast, and defensible.
  • AI reasons from raw KYC, transaction, and network data — not summaries
  • Every decision cites the policy clause, rule reference, and evidence used
  • One click regenerates the full decision rationale for any examiner
  • Model versions are pinned, signed by a reviewer, and auditable in Git
  • Prompts are owned, versioned, regression-tested before each deployment
Trusted by 500+ institutions across 180 jurisdictions
FAB NETS MSIG Moomoo Syfe GLDB
* In collaboration with Cynopsis Solutions
Recognised by the Industry*
Chartis FCC50 2026 — Market Disruptor Gold RegTech100 (4x Winner) Singapore Top Fintech 2026 Regulatory Leader 2025 ALB Pan Asian Regulatory Awards 2025 Fintech Frontiers 50 Top 10 Singapore Fastest-Growing 2020 Top 50 High-Growth Asia-Pacific 2020 MAS FinTech Awards 2018
* In collaboration with Cynopsis Solutions

See the AI reason out loud

30 minutes. Live walkthrough of a real decision: raw data in, reasoning loop, policy match, human review queue, WORM audit trail out.