✦AGENTS PREPARE, BANKERS DECIDE
We assemble evidence-linked Source-of-Wealth case packs and find where the proof runs out. Your bankers keep the judgment.
SYS.ONLINE // SYNTHETIC DATA ONLY // HONG KONG
[01] WHAT A SINGLE EDIT COSTS TODAY
one number.
In today's onboarding, one revised figure ripples by hand across the Excel model, the Word narrative, the supporting pack and the screenshots, then trips a corroboration threshold buried in a thousand-word policy email. The client waits. The RM rebuilds. The reviewer re-challenges. AICorros makes it one governed update, everywhere it appears.
[02] EVERY CLAIM KEEPS ITS SOURCE
traceability
Every material claim keeps its source document, page, extracted value, confidence and reviewer action, from first upload to final export. Hover a sentence in the workspace and the evidence appears, highlight and all.
Supported. Partially supported. Cannot use as fact. The status is always visible to the RM, to CLM, to FCC.
[03] THE DELIVERABLE
Review-Ready.
Narrative, calculations, evidence matrix, timeline, gaps and source appendix. Assembled together, gated until the pack earns it.
EVERY PAGE DEFENSIBLE · EVERY NUMBER SOURCED
[04] ONE ENGINE · TWO TRIGGER EVENTS
workflow
New onboarding and periodic review share roughly 90% of the same preparation logic. One governed case engine runs both, tuned per trigger. When review standards rise, a periodic review can become a full rewrite; AICorros treats it as the same case object, not a new Word document.
LATER, ADJACENT: SCREENING · MONITORING · EVENT-DRIVEN REVIEW. THE WEDGE STAYS SOW DEPTH
[05] REGULATION AS SPEC
The rulebook is the spec.
HKMA · AML/CFT GUIDELINE · ¶4.9.25, 12.5
Source of wealth means the origin of the entire body of wealth, and corroboration must support how the majority of it was acquired. AICorros scores exactly that coverage.
AMLO · CAP. 615 · SCH 2 · S.10
PEP relationships require senior-management approval plus reasonable measures to establish both SoW and SoF, with continuous monitoring a statutory duty, not a policy choice.
HKMA · SOW SEMINAR · DEC 2022
The supervisory model: collection → clarification → corroboration. The corroboration bar rises with risk, from open sources to independent third-party evidence.
SFC · CIRCULAR 24EC55 · NOV 2024
Language models in regulated firms need senior-management lifecycle oversight, model risk management and data security. High-risk uses notified to the SFC in advance.
PCPD · AI FRAMEWORK · JUN 2024
High-risk AI expects a human in the loop; financial data is expressly sensitive; minimisation is a data-protection principle, mirrored in the clean-room boundary.
AICORROS · POL-SOW-014
Policy logic runs as executable checks: a wealth event above 40% of net worth triggers full corroboration and FCC visibility, in the workflow, not in an email.
RULES TRAVEL AS CODE, NOT PROSE. SEE THE POLICY LIBRARY INSIDE THE WORKSPACE
[06] WHERE AICORROS WINS
the wedge.
We do not replace your CLM. We prepare a better Source-of-Wealth review object before it enters the CLM workflow. Fenergo and Moody's become endpoints the pack exports into, not rivals.
VS · INTERNAL BUILDS
Bank of Singapore's SOWA proved the demand: SoW reports from ~10 days to ~1 hour. Internal tools stall at maintenance; a product compounds across deployments.
VS · CLM SUITES
Broad lifecycle platforms don't reason about wealth events. AICorros goes deep on the SoW review object and hands it to the systems of record.
VS · GENERIC AI
Drafting is a commodity. The moat is underneath: one claim-evidence graph projecting narrative, table, timeline and memo, with policy running as executable checks.
GOVERNED AGENTIC FINANCE IS BEING FUNDED AND BUILT. THE QUESTION IS WHO PRODUCTIZES SOW DEPTH FIRST
[07] HUMANS KEEP THE DECISION
governed.
AICorros prepares, organizes and checks the pack. It never approves a client, rates risk, or replaces RM, CLM, FCC or compliance judgment. Exports stay blocked until reviewer actions and material gaps are recorded, and the gate itself is written to the audit trail.
[08] YOUR TENANT, YOUR RULES
bank-controlled.
Real client data runs inside bank-controlled deployments: your approved model endpoint and API keys, your identity provider, your retention rules. AI spend stays in the bank's own tenant. No client data trains any model. Until legal, IP and confidentiality clearance, synthetic and public-source demonstrations only.
[09] BUYER ECONOMICS · ONE BOOKING CENTRE
The business case, in four numbers.
80 ACTIVE USERS · 480 CASE PACKS / YEAR · PLUS 0.5 REVIEW CYCLES AVOIDED / PACK AT US$260 · VALIDATED IN PAID DISCOVERY
CATEGORY PROOF · BANK OF SINGAPORE'S AGENTIC SOW TOOL: REPORTS FROM ~10 DAYS TO ~1 HOUR
[10] INITIATE
see it work.
A live RM & CLM workspace runs on a synthetic golden case: an entrepreneur liquidity event, USD 86.2M, one policy threshold breached and caught. Walk it from intake to gated export. Hover any sentence and watch the evidence answer.
A REAL SESSION · RM → SENIOR-MANAGEMENT APPROVAL → GATED EXPORT · 40 SECONDS