Governed agentic analytics for insurers. Autonomous agents answer plain-English questions across policy admin systems, claims platforms, actuarial and underwriting data, warehouses, and document repositories — returning sourced, audit-traceable answers. No SQL. Reads your data in place, with on-prem or VPC deployment available.
Carriers sit on decades of policy, claims, and actuarial data spread across systems that were never designed to talk to each other — and regulators expect every number defended on demand.
NAIC filings, Solvency II reporting, and IFRS 17 disclosures pull actuaries and finance teams off strategic work for weeks. Reconciling figures across systems by hand turns every submission cycle into a fire drill.
When an examiner asks how a reserve or a line item was calculated, the answer lives in spreadsheets, query logs, and the memory of a few specialists. Reconstructing lineage after the fact is slow, manual, and error-prone.
Policy admin systems, claims platforms, actuarial models, and the warehouse each hold a piece of the truth. Answering a single question often means stitching together exports from four or five disconnected sources.
Policy wordings, endorsements, and claims files carry the context that structured tables miss. That unstructured detail rarely makes it into analytics, so decisions get made without the full picture.
Underwriters, claims leaders, and executives queue behind a small analytics team for answers that require SQL and system expertise. The backlog grows faster than headcount, and insight arrives too late to act on.
Autonomous agents answer questions in plain English across every system you already run — and show their work on every answer.
Ask a question in plain English and agents return a sourced answer with full lineage back to the originating system. Every reserve, claim, and line item can be defended on demand, with no query language required.
Agents reach across policy admin systems, claims platforms, actuarial and underwriting data, warehouses, and document repositories. A single question can span all of them and return one consolidated, sourced answer.
Agents read policy wordings, endorsements, and claims files alongside structured tables, so the unstructured context that drives decisions is part of the answer. Document insight and data analytics finally live in one place.
Agents assemble the numbers behind NAIC, Solvency II, and IFRS 17 submissions with lineage attached, turning a three-week scramble into days. Examiners and auditors get the traceability they expect without a special project.
Insurers cannot adopt open AI tools without governance and data-residency risk. QuaerisAI was built for exactly this environment.
Deploy on-prem or in your own VPC. QuaerisAI reads your data in place, so it never has to leave your network.
Bring your own model — OpenAI, Anthropic, Google, or Meta — and switch as the landscape evolves with no rebuild.
Every query, answer, and data access is logged and traceable, ready for NAIC, Solvency II, and IFRS 17 examination.
Answers carry lineage back to source, so reserves and submissions can be defended to regulators and auditors on demand.
Regulatory submissions used to cost my team three weeks every quarter. QuaerisAI gives us a traceable answer for every line item on demand. Our last submission took four days.
Give every underwriter, actuary, and executive sourced, audit-traceable answers across your existing systems — deployed on-prem or in your VPC, with no SQL.
