Capabilities
The mechanics behind disciplined capital decisions
True Worthimery combines structured AI analysis with human oversight to give business owners and investors a clearer view of risk, allocation, and timing — without replacing their judgement.
Request a WalkthroughWhat True Worthimery Does
A framework, not a black box
Every feature below exists to support a decision a business owner or investor actually has to make — not to generate noise. Each is documented, reviewable, and built to be questioned.
Structured Capital Analysis
Inputs on cash position, obligations, and objectives are organised into a consistent analytical structure, so recommendations are traceable back to the assumptions that produced them.
Scenario Comparison
Rather than a single projection, True Worthimery presents comparative scenarios side by side — allowing owners to see the trade-offs of different allocation or timing choices before committing.
Risk Flagging
Positions and proposals are screened against defined risk parameters, with flags raised for concentration, liquidity, or timing exposure that may warrant closer review.
Human Advisory Layer
AI-generated output is reviewed by an advisor before it reaches a client, keeping a person accountable for the final recommendation rather than the model alone.
Audit-Ready Documentation
Every recommendation is logged with the data and reasoning behind it, so decisions can be revisited, explained to stakeholders, or reviewed by an external adviser later.
Ongoing Recalibration
As financial position or market conditions change, the underlying analysis is re-run rather than left static, keeping guidance aligned with current circumstances.
Why It's Built This Way
Speed without skipping the reasoning
Most financial software either automates a decision entirely or leaves the owner to build every model from scratch. True Worthimery sits between the two: it compresses the analysis stage so an advisor and client can spend their time on judgement, not spreadsheets.
That means the same rigour applied to a large institutional review is available at the scale of a single business owner's balance sheet — presented in language and structure a non-specialist can actually use.
Every feature is designed to be explained in a client meeting, not just a technical document.
Transparency Framework
How outputs are checked before they're shared
Data Provenance
Inputs used in any recommendation are recorded, so it's clear whether a figure came from client-supplied data, a linked account, or an assumption.
Assumption Disclosure
Where the model relies on an estimate or forecast, that assumption is stated alongside the output rather than absorbed silently into the result.
Advisor Sign-Off
No AI-generated recommendation is delivered to a client without a named advisor reviewing it first for reasonableness and fit.
Revision History
Changes to a recommendation over time are kept on record, so it's possible to see how guidance evolved as circumstances changed.
Get Started
See the framework applied to your position
A walkthrough shows how True Worthimery's analysis, scenario comparison, and advisory review would apply to your own numbers — not a generic demo.