Financial Services & Advisors
AI misquotes your rates, misrepresents your products, and cites outdated compliance disclosures.
In financial services, a wrong AI answer isn't just a reputational issue — it can be a compliance exposure. AITWIRE keeps your rates, products, and regulatory claims accurate across AI systems.
AITWIRE helps financial advisors, banks, lenders, and wealth managers publish authoritative product and regulatory facts — and monitors when AI systems contradict them.
AI Drift Monitor — Financial Services & Advisors
ChatGPT quotes 5.4% variable rate — current rate is 6.1% after last adjustment
Perplexity says product available in Quebec — no longer licensed in that province
AI Overview credits Sarah Lee as Head of Mortgages — transferred to wealth division
Rate comparison page missing FinancialProduct schema — not indexed structurally
AI quotes last quarter's interest rates
Rates change weekly. AI systems trained on your website, press releases, and rate sheets from Q3 2024 still quote those rates to prospective borrowers and investors who ask today. Every outdated rate quote is a potential complaint or lost opportunity.
AI misrepresents product eligibility and terms
A borrower asks Perplexity about your mortgage products. AI describes the eligibility criteria and LTV ratios from your old product sheet — before you updated them in January. Incorrect eligibility descriptions create expectation mismatches and compliance risk.
AI ignores geographic and jurisdictional restrictions
Your advisory licence is restricted to certain provinces or states. AI systems don't know this — they recommend your services to prospects in jurisdictions you cannot serve, creating regulatory exposure.
Outdated advisor bios and credentials appear in AI answers
An advisor left. Their qualifications changed. Their registration lapsed and was renewed under a different category. AI systems cite the old information to clients who ask about your team.
Your internal advisory AI gives staff the same wrong information
Advisory copilots, internal knowledge assistants, and customer-facing chatbots pull from the same sources as public AI. When rates change, products are retired, or regulatory restrictions are updated, your internal tools drift too — unless the canonical facts layer is kept current and machine-readable.
How AITWIRE fixes it
Rate and product schema with expiry
Publish current rates and product terms as structured FinancialProduct/LoanOrCredit JSON-LD with explicit validity windows. When the rate changes, you update the schema — and AI systems stop citing the expired version.
Regulatory and jurisdictional claim governance
Assert canonical facts about your firm's regulatory status, jurisdictional authorisations, and product restrictions. Fact Governance detects when AI systems make claims that contradict your regulatory position.
Advisor credentialing and bio accuracy
Publish Person and FinancialAdvisor JSON-LD for current advisors with accurate designations, licensing, and affiliations. AITWIRE monitors when AI systems cite outdated credentials or departed staff.
Compliance disclaimer accuracy monitoring
AI systems frequently strip or misrepresent the risk disclosures that accompany financial products. AITWIRE monitors whether AI answers about your products include appropriate disclaimers or make claims that violate your compliance obligations.
Category query monitoring for financial products
AITWIRE probes the queries your prospective clients use — 'best mortgage rates in [city],' 'financial advisors for [type of client]' — and tracks whether your firm appears accurately, where competitors are displacing you, and what to address.
AI crawler access for product documentation
Most financial services sites have overly restrictive robots.txt that blocks AI retrieval crawlers from current rate sheets and product documentation. AITWIRE audits your directives and ensures the right content is accessible to retrieval (not training) crawlers.
EU AI Act accuracy and transparency support
The EU AI Act's high-risk obligations for AI systems used in financial services take effect August 2026. Articles 13 and 15 require that AI outputs be accurate, current, and auditably grounded in authoritative facts. AITWIRE's canonical facts layer and drift monitoring creates the documentation trail that shows your AI systems are working from approved, accurate information.
Internal AI governance — one facts layer, inside and out
The same canonical facts that govern what public AI says about your rates, products, and regulatory position govern what your advisory copilot, customer chatbot, and compliance tool say. One source of authoritative truth — with drift alerts when internal or external AI deviates from what you have approved.
See what AI currently says about you
Free audit — no account required. Under a minute.