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Apr 25, 2024

The No-Citation, No-Answer Rule: AI You Can Actually Trust

The No-Citation, No-Answer Rule: AI You Can Actually Trust

"It works great, until it lies."

This is the nightmare of every CTO in FinTech or LegalTech. You can't afford an AI that invents a case law or fabricates a financial figure. In high-stakes environments, a hallucination isn't just a bug—it's a multi-million dollar liability.

The solution isn't "better prompting." The solution is architectural: the No-Citation, No-Answer Rule.

The Reasoning Engine, Not a Knowledge Base

Most people treat AI like a library. We treat it like a Reasoning Engine.

At OpsSolved, we enforce a strict rule: the AI is not allowed to use its own internal training data to answer your questions. It must act only on the documents you provide. If it can't find the answer in your specific data, it must say "I don't know."

How It Works: The Citation Chain

Every claim our system makes must be tagged with a source. Here is the engineering behind it:

  1. Metadata Tagging: Every document is chunked and tagged with its Document ID, Page Number, and even the specific paragraph.
  2. Instruction Enforcement: The AI is instructed: "For every claim, cite the source like this: [Doc: X, Page: Y]."
  3. The Judge Model: A secondary AI (the "Auditor") verifies the citation. It checks the source text against the answer. If the source doesn't explicitly support the claim, the answer is rejected.

Why This Matters for Regulated Industries

1. Auditability (DORA/KNF)

Regulators don't care about "AI vibes." They care about proof. Our systems create a full audit trail: what the AI looked at, what it found, and why it gave the answer.

2. Expert Trust

Your senior staff will only use AI if they can verify it. By providing clickable links directly to the source PDF (at the exact page and highlight), we turn AI from a "black box" into a high-speed research assistant.

3. Debugging Accuracy

When the system is wrong, we can instantly see why. Was it a bad document? A failed retrieval? A logic error? Citations make the system transparent and fixable.

UI/UX: Verification at a Click

We don't just show text. We show proof.

  • Inline Citations: Hover over a claim to see the source document and page.
  • View Source: One click opens the original document, scrolled to the exact paragraph the AI used.
  • Confidence Indicators: We flag when the evidence is weak, so your experts know when to double-check.

Conclusion

In the "Adults in the AI Room" philosophy, we value truth over cleverness. If the AI can't prove it, it shouldn't say it.

No-Citation. No-Answer. No Hallucinations.

OpsSolved: Engineering trust into every line of code.

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Simple Business Rules

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Test Data Creation

Simple Business Rules

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