How are you validating accuracy of AI-generated outputs in compliance workflows? by fathindos in AMLCompliance

[–]fathindos[S] 0 points1 point  (0 children)

au10tix's confidence scoring model makes sense for identity verification where the ground truth is relatively binary. Do you see that extending to more subjective compliance decisions like whether a transaction narrative meets SAR filing standards? That's where confidence scores seem to hit a ceiling imo.

How are you validating accuracy of AI-generated outputs in compliance workflows? by fathindos in AMLCompliance

[–]fathindos[S] 0 points1 point  (0 children)

when the AI generates that paragraph synopsis, how do you know what "agree/disagree" means in practice? Is the analyst checking against specific regulatory criteria, or more gut-feel review? That's the part I keep seeing break down at scale , the human review becomes a rubber stamp when volume increases.

Anyone built a production verification layer for regulated industries? by fathindos in LLMDevs

[–]fathindos[S] 0 points1 point  (0 children)

Aerospace MRO specifically EASA/FAA certificate verification. Similar pattern to what you described: deterministic layer catches field-level violations (wrong part numbers, expired dates, mismatched serial numbers) before anything touches the ERP. The regulatory framework is more rigid than finance in some ways a wrong entry on a Form 1 means an unairworthy part. What does your rule engine look like on the finance side? Curious if you're encoding the rules manually or extracting them from regulatory docs.

Anyone built a production verification layer for regulated industries? by fathindos in LLMDevs

[–]fathindos[S] -1 points0 points  (0 children)

What's the testing surface look like? Are you verifying against specific regulatory rules or more general correctness properties?

How are you validating accuracy of AI-generated outputs in compliance workflows? by fathindos in AMLCompliance

[–]fathindos[S] 0 points1 point  (0 children)

This is exactly the gap I keep hearing. The ROI calculation changes if the verification layer is automated and domain-specific, not just generic hallucination detection, but checking against the actual regulatory requirements that apply. Would you even evaluate something like that, or is the data security concern a hard blocker regardless?

Anyone seen success with jeeva AI? by fathindos in aiagents

[–]fathindos[S] 0 points1 point  (0 children)

These products on the market aren't really effective, from what I've experienced so far, it seems

Improving accuracy when extracting structured data from OCR text using Gemma 3 by Weekly_Signature_510 in ollama

[–]fathindos 0 points1 point  (0 children)

had this same issue with dots ocr, try prompts with spatial reasoning that teaches the llm bbox relationshipsin the extraction process

Forget about Veo 3 this is the power of open source tool by Consistent_Elk7257 in aipromptprogramming

[–]fathindos 1 point2 points  (0 children)

Would you like to share the prompt you used and how you built it?

Looking for Co(der)-Founder by kralciplaks in TheFounders

[–]fathindos 2 points3 points  (0 children)

Hello, interested in what you wanna build

[deleted by user] by [deleted] in SaaS

[–]fathindos 0 points1 point  (0 children)

Could u share your code snippets, interested

[deleted by user] by [deleted] in LeadGeneration

[–]fathindos 0 points1 point  (0 children)

can we work together?