How a Family Office Unlocked One Financial View With AI

A family office's PMs and analysts pull consolidated answers in plain language, no SQL or Excel, while company-level scoping keeps each entity's data inside its access boundary.

No SQL

Answered in plain language

Implementation Time

Unmukt Raizada

Founder & CEO

TrustEvals

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The Challenge

PMs, analysts, and admins across a multi-company portfolio needed consolidated financial answers without writing SQL or wrangling Excel. Data sat in isolated silos across companies, requiring strict access boundaries while still needing unified reporting.

What They Built

Embedded as a cross-portfolio delivery partner, TrustEvals shipped per-company financial dashboards and applications across holdings and designed a natural-language query layer for conversational reporting over consolidated financials. A governed access system applies company-level scoping and role-based access controls.

Governance, audit trails, and data-confidence mechanisms were architected from inception so cross-company consolidation never violates access boundaries. Per-company apps were delivered in parallel with building the conversational NL-to-financials reporting layer.

AI Role

A natural-language query layer lets portfolio managers, analysts, and admins ask for consolidated financial answers in plain language, without writing SQL or wrangling Excel. It resolves questions across per-company financials while company-level scoping and role-based access keep every response inside the requester's authorization. Specific models are not named in the source.

AI Model

Per-company financial dashboards/apps, natural-language query layer (NL-to-financials conversational reporting), company-level scoping with role-based access controls, audit trails (specific technologies not named on the page)

Infrastructure

Per-company financial data sources across the portfolio • Per-company dashboards and applications • Company-level scoping with role-based access controls • Audit trails (specific technologies not named in source)

Integration Points

Natural-language query layer translating questions into financial reporting • Cross-company consolidation under per-company scoping • Role-based access enforcement • Audit-trail logging across entities

Impact

Conversational reporting

A natural-language query layer lets users get consolidated financial answers without SQL or Excel.

Per-company apps delivered

Multiple per-company financial apps were delivered or in UAT across the portfolio.

Access boundaries preserved

Company-level scoping and role-based access ensure consolidation never crosses access limits.

Technology Utilized

Implementation Complexity

Time Savings

Risk & Compliance

Best Fit For

Best fit for multi-entity investment or holding groups that need one consolidated financial view while keeping strict per-company access boundaries.

Unmukt Raizada

Founder & CEO

TrustEvals

Founder & CEO of TrustEvals. Builds AI evaluation and governance infrastructure for finance, real estate and regulated software — eval harnesses, semantic data dictionaries, and AI audits.

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Industry:

Financial Services

Business Function:

Finance & Accounting

Executive & Strategy

Company Size:

Project Cost:

Cost not disclosed

Ownership:

Organization Type:

AI Pattern:

Conversational AI (Chatbot / Agent)

Data Synthesis & Reporting

Value Type:

Time Savings

Risk & Compliance

AI Model:

Frequently Asked Questions

How can a family office get one consolidated financial view across a multi-company portfolio without SQL?

The family office worked with the experts, embedded as a cross-portfolio delivery partner, to ship per-company financial apps and design a natural-language query layer over consolidated financials. Portfolio managers and analysts now get consolidated answers in plain language, without writing SQL or wrangling Excel, while company-level scoping preserves per-entity access boundaries.

What AI approach and tools enabled the conversational financial reporting?

The work combined conversational AI and data synthesis: per-company financial dashboards and apps plus a natural-language query layer that turns plain-language questions into consolidated financial answers, with company-level scoping, role-based access, and audit trails. Specific technologies are not named in the record.

What results did the family office achieve?

A natural-language query layer lets users get consolidated financial answers without SQL or Excel, multiple per-company financial apps were delivered or in user acceptance testing across the portfolio, and company-level scoping and role-based access ensure consolidation never crosses access limits.

How long did the family office reporting build take?

The record does not specify a timeline. At the time of the case, per-company apps were delivered or in user acceptance testing while the natural-language reporting layer was still in build.

Who is a natural-language financial reporting layer best for?

It is best suited to multi-entity investment or holding groups that need one consolidated financial view while keeping strict per-company access boundaries.