Financial Services — Evidence for Credit, Insurance & Banking AI
When models score applicants, price policies, or trigger account actions, “we have logs” is not enough. Sigigo turns those decisions into tamper-evident evidence someone outside your team can check.
Who this is for
Banks, lenders, insurers, fintechs, and software vendors shipping credit, underwriting, fraud, or servicing AI — as product providers or as enterprises deploying vendor models in production.
- Credit scoring and loan decisioning
- Insurance underwriting and pricing
- Fraud detection that blocks or escalates accounts
- Wealth / servicing copilots that change balances, limits, or documents
How the EU AI Act affects this industry
For credit, insurance, and adjacent financial AI, the Act is mostly about whether your system is high-risk, who is the provider vs deployer, and whether Article 12 automatic logging (plus deployer retention under Article 26) applies. Classification is a legal question — start with counsel or the FLI Compliance Checker.
Annex III often covers AI used for creditworthiness and insurance risk / pricing. Providers must design automatic logging into the product (Articles 12, 19); deployers retain logs, monitor operation, and evidence human oversight (Article 26). Chatbots and customer-facing gen-AI can also trigger Article 50 transparency from August 2026 even when Annex III does not apply.
| Situation | If high-risk rules apply | How Sigigo helps |
|---|---|---|
| Credit scoring / loan decisioning | Likely high-risk → automatic lifetime logging + retention | SDK at the score boundary; signed session chain + export pack |
| Insurance underwriting / pricing | Likely high-risk → same Art. 12 / Art. 26 pattern | Link model output, underwriter override, and bind decision |
| Fraud / account actions | Classify carefully — high-risk if essential-services Annex III applies | Prove blocks, escalations, and human reviews in one chain |
| Servicing copilots (gen-AI UI) | Art. 50 disclosure often applies; Art. 12 only if high-risk | Witness disclosures + optional inference evidence |
Standalone Annex III high-risk systems face a primary deadline of December 2027. Starting automatic logging earlier builds a lifetime trail — catch-up later cannot recreate history. Full field map: Article 12 guide.
Article 12 requires automatic lifetime logging for high-risk systems — not cryptographic integrity by itself. Sigigo adds signed, exportable evidence so that trail holds up when challenged. See the Article 12 FAQ.
Why this industry needs proof first
Financial decisions attract customer disputes, regulator questions, and internal audit sampling. Mutable SIEM or application tables leave the same operator holding both the decision system and the only record of what it did.
| Common stack | What goes wrong under scrutiny |
|---|---|
| Core banking / policy system audit table | Admins can rewrite history; weak independence |
| Model-vendor dashboard only | Counterparty must trust the vendor’s UI |
| SIEM retention of inference logs | Operational storage; weak integrity when challenged |
| PDF credit policy + sample files | Intent ≠ per-decision automatic trail |
Decision boundary → events
Instrument at the scoring / underwriting boundary. Prefer hashes and references for application payloads under Private Commitment Mode.
| Workflow step | What to prove | Sigigo action |
|---|---|---|
| Application / quote intake | Inputs received | ai_act.input_received |
| Model / rules score | Model version + output | ai_act.inference_started → output_generated |
| RAG or feature lookup | Context used | ai_act.context_retrieved |
| Policy / risk flags | Signals considered | ai_act.risk_signal_detected |
| Underwriter / loan officer review | Human oversight | ai_act.human_review_completed |
| Approve / decline / price | Action taken | ai_act.action_executed |
| Serious incident / bias review | Escalation trail | ai_act.serious_incident_reported |
Other frameworks that often apply
These sit alongside AI Act duties for many EU and global buyers — not a claim that Sigigo alone achieves conformity.
| Framework | How Sigigo helps |
|---|---|
| SOX / internal controls | Tamper-evident trails for automated approvals and journal-relevant actions |
| SEC inquiries / examinations | Exportable packs for trading, reporting, and compliance systems |
| Model risk management | Session chains: model version, inputs (refs), overrides, final action |
Sovereignty defaults for EU tenants: data sovereignty.
FAQ
- We already log every decision to our data warehouse. Why change?
- Warehouses answer “what did we store.” Disputes ask whether that store could have been edited. Sigigo adds signatures and offline verification on top of the same decision boundary.
- Does Article 12 always apply to our credit models?
- Only when the system is high-risk under the EU AI Act (for example Annex III credit scoring). Classify with legal counsel first — then instrument automatic logging where it applies. Sigigo makes that logging trail checkable; it does not classify your system.
- Can we keep application PII out of Sigigo?
- Yes. Private Commitment Mode witnesses signed commitments; sensitive payloads stay in your vault until you choose to disclose for audit.
Map a credit or underwriting flow — and whether Art. 12 applies — in a workshop: contact us or start from the Article 12 readiness quiz.
This guide supports qualification and architecture planning — it is not legal advice. Work with your legal and compliance teams on classification, DPAs, and deployment approvals. See also our Regulatory & Compliance page.