Built here, hosted here, and never a training set for anyone's model.
Financial data is the most sensitive thing a company owns. The architecture treats it that way by default rather than as a paid upgrade.
Where the alternatives stop
Every option in this market solves part of the problem. Here is where each one runs out, honestly.
Four commitments we will not trade away
These are architecture decisions, not marketing positions, which is why they are hard to reverse later.
Where AI generates commentary, the provider is contractually barred from retaining or training on the content. Every generation is consented and logged.
Every connector starts read-only. Nothing writes back into your books unless you explicitly enable it, and the audit log records it when you do.
Not row-level filtering on a shared table. Separate tenancy per company, which is the only version of this claim that survives a security review.
Full export of everything, on request, in formats you can actually load elsewhere. No notice period and no retention clause.
What finance leaders said in the first meeting
Data sat in different places and arrived too late, and FinLytTech pulled it all into one place.
Having the monthly board pack generated in five minutes changes what my team can spend time on.
I needed accurate monthly P&L and cash-flow reports without hiring a finance team, and FinLytTech does exactly that.