GoldenSource Scout - Close the AI Trust Gap

Governed AI for capital markets, grounded in trusted context.

GoldenSource Scout turns governed capital markets data into enterprise intelligence that strengthens decision-making, accelerates operations and raises data quality across the organization.

Research behind the AI trust gap

Why Act now

AI is moving from experimentation to production As firms move AI into production, the standard for trust is rising

98%

Concerned weak data infrastructure
is undermining AI outcomes

80

Report financial losses linked
to weak data foundations

48%

Say private markets growth is
creating material cost and risk

AI outputs need to stand up to operational review, risk and valuation scrutiny, investment committee review, board-level accountability, regulatory governance and reporting requirements.That requires more than data access. It requires governed context.

From fragmented data to Governed enterprise intelligence

AI models are powerful, but trusted outcomes require trusted context.

In capital markets, data does not live in isolation. Instruments relate to issuers. Issuers relate to counterparties and legal entities. Positions relate to accounts, funds, portfolios and trading books.

Prices, rates and benchmarks relate to instruments and can be grouped as curves. Legal entities can act as clients or trading counterparties, connected through ISDA agreements, CSAs, netting sets, collateral, regulations and risk exposures.

A flat data model gives you the record. Context shows what the record means

Without that context, AI outputs are difficult to explain, validate or trust. For buy-side and sell-side firms, this is not only a data challenge. It also presents operational, market and credit risk challenges.

From Static Data Visibility to Actionable Understanding

GoldenSource Scout gives firms a governed foundation for asking natural-language questions about the data they master, where it came from, 
where it may be wrong and how it moves through workflows.
Teams can move from static data visibility to actionable understanding. GoldenSource Scout can help:

Outcome 1

Find where data looks wrong and explain why.

Outcome 2

Find where data looks wrong and explain why.

Outcome 3

Find where data looks wrong and explain why.

UNDER THE HOOD, SCOUT CAN

Catalogue the estate

Instruments, identifiers, classifications, entities and other core domains, with counts and sources.

Trace lineage end to end

From value to transformation to source, and from publication through to analytics.

Resolve what is canonical and surface inconsistency

Identify which vendor value is golden and where sources diverge.

Investigate exceptions

Find where data looks wrong and explain why.

Retrieve structure

Legal-entity hierarchies, classifications and identifier cross-references.

Monitor operations

What ran, SLA adherence, runtimes and what needs a steward.

Governed by design

Executive promise

Governed AI needs production-grade controls.

GoldenSource Scout is designed for the requirements of capital markets firms. It is deployed in a single-tenant environment, giving firms greater control over data isolation, access, governance and auditability.
This is not a horizontal AI tool retrofitted for financial services. GoldenSource Scout is built for capital markets complexity.

  • Tenant isolation.
  • Data residency Governed access controls.
  • Requirements.
  • MCP connectivity into masters, knowledge, analytics and observability.
  • Human approval for proposed actions.
  • Governed control bands for agentic AI.
  • Integration with APIs and screen-based workflows.

Why GoldenSource AI

GoldenSource has spent four decades helping capital markets firms govern, standardize and operationalize complex financial data.

That foundation matters because GoldenSource Scout is built on mastered, governed data and a capital markets foundation that already understands the structure, relationships and controls financial institutions require. Answers are grounded in governed context, not isolated records.


GoldenSource brings together deep domain expertise, extensive data coverage, structured financial data models, pre-configured data connections, cross-domain relationship mapping, governance, lineage and auditability.


This gives firms a practical path to AI adoption, grounded in the data foundation they already know and trust.

40

YEARS OF EXPERIENCE

GoldenSource Scout has bridged the gap between our high-volume market data and the intelligence needed for real-time risk evaluation. It is the gold standard for governed AI in capital markets.”

Alistair Montgomery

Chief Risk Officer, Meridian Global Assets

Speak with a GoldenSource expert about the pressures showing up in your business, from product launches and private markets to AI readiness, data costs, and control.

Speak with a GoldenSource expert about the pressures showing up in your business, from product launches and private markets to AI readiness, data costs, and control.