T7 builds AI systems for insurers that pre-adjudicate claims, augment underwriters and catch fraud earlier — across health, motor, life and P&C.
Insurance runs on documents, decisions and disputes. T7 Solution ships AI that reads claim files, drafts underwriting notes and scores fraud risk — while keeping every decision explainable to your regulator and your customer.
We work across health, motor, life and commercial P&C. Every deployment integrates with your core system (Guidewire, Duck Creek, custom mainframes) and preserves the audit trail regulators expect.
Explainability is default: SHAP-based reason codes on every ML score, citations on every LLM output, and a review UI for adjusters to accept, reject or override.
Manual adjudication misses fraud and overpays leakage — often 5–10% of settled value.
Complex claims take weeks; NPS and regulator scrutiny both suffer.
Senior underwriters spend hours per case on document review instead of judgment.
Retail policyholders want service in their language — call centres can't scale it.
OCR + LLM extraction on claim forms, bills and medical evidence; straight-through processing for clean claims.
Retrieval over policy wordings, actuarial tables and past decisions to draft first-pass underwriting notes.
ML models that score claims for fraud risk using structured + image evidence.
Voice and chat agents for renewals, claims status and endorsements in vernacular languages.
Extract structured data from invoices, forms, IDs and reports with 95%+ accuracy.
Explore serviceProduction ML for forecasting, churn, risk and pricing — trained on your data.
Explore serviceHuman-sounding AI voice agents for inbound and outbound calls at scale.
Explore serviceCustom AI chatbots trained on your data — web, WhatsApp, Slack and beyond.
Explore serviceExplore how T7 Solution delivers insurance & insurtech AI locally — with on-site discovery, compliance patterns and language coverage tuned to each market.
Yes. Every decision — LLM or ML — ships with a reason code and full lineage. We produce model cards and validation packs suitable for IRDAI, PRA and NAIC review.
Yes, via REST, EDI and direct DB. We've integrated AI decision layers into both without disturbing the core policy administration system.
Protected-attribute testing on every model, bias audits before go-live, and continuous monitoring for drift on fairness metrics.
Yes — including prescriptions, discharge summaries and diagnostic reports in English and Indic scripts. Extraction routes low-confidence fields to human review.
Use cases, insights and comparisons chosen for insurance & insurtech teams evaluating AI.
Draft first-pass underwriting notes with citations, in minutes.
AI for talent, onboarding and employee self-service.
Straight-through processing for accounts payable — from PDF to ERP.
A field report on where AI is really deployed in banks, insurers and NBFCs — and where it's still theatre.
How to design, build and deploy AI agents that plan, call tools and take real actions inside enterprise workflows — without breaking production.
Text-based chatbots vs voice AI agents — which channel fits your workflow?
OpenAI direct vs Azure OpenAI for enterprise
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.