Co-Analyst handles risk intake, drafting, coverage structuring, approval orchestration, regulatory monitoring, and issuance inside your own tenant. Your underwriters make the call, and the record assembles itself.
audit-ready · no client data leaves your environment
90% of insurance leaders say work needs reinventing around AI. Around 25% have acted..
McKinsey, "The Future of AI in the Insurance Industry," 2026
P&C return on equity is forecast to fall from 15% in 2025 to 10% by 2027 as underwriting profitability weakens..
Swiss Re Institute, "US Property & Casualty Outlook," January 2025
The revised Solvency II framework bites on 30 January 2027..
EIOPA, Solvency II Review Updates, 2025
ORIGINATE / STRUCTURE
What the reader extracted, and what they missed, is recorded nowhere.
The problem
Inputs arrive as a facility agreement, a term sheet, and credit approvals, each written for a different purpose and none structured for underwriting. Someone reads all three and pulls out insurable risk and jurisdictional requirements by hand. That reading becomes the basis for everything downstream, so every later check validates the interpretation rather than the documents.
What ProSyft does
Co-Analyst ingests facility agreements, term sheets, and credit approvals, extracting insurable risk and jurisdictional requirements into a structured, policy-ready record with each term cited to its clause in the source.
Outcome
Extraction becomes an auditable artefact rather than an undocumented reading.
An annual review with external counsel is thorough, expensive, and accurate on the day it completes. Then it drifts, because obligations keep moving while the review does not. It is at its most accurate the moment before you rely on it, and at its least accurate when you need it: at audit, at renewal, or at a claim. A more rigorous review only buys more confidence in a picture that decays just as fast.
Two things are tightening at once. P&C premium growth is slowing from around 5.5% in 2025 to roughly 3% in 2026, (Deloitte, "2026 Insurance Industry Outlook," 2026) so cost per policy stops being a back-office concern. And the NAIC has made AI model governance a stated 2026 priority. (NAIC, "Leadership, Modernization, Resilience: NAIC 2026 Strategic Priorities," March 2026) Automation is not the hard part. Governing it is.
Want policies drafted in minutes?
Accepted wisdom says automated wording means generic wording.
Not with ProSyft. Co-Analyst drafts from the facility agreement, term sheet, and credit approvals in front of it, aligning clauses to facility-specific terms and flagging exclusions before binding.
Want regulatory currency?
Accepted wisdom says that's an annual counsel exercise.
Not with ProSyft. Co-Analyst monitors the rule environment continuously and maintains a live gap analysis against your documented policies.
Want AI in underwriting?
Accepted wisdom says you trade explainability for speed.
Not with ProSyft. Every clause, exclusion, and decision carries lineage back to source. The record an examiner, an auditor, or a court asks for already exists.
EVIE™, your private orchestration engine, deploys inside your environment and runs underwriting workflows autonomously. Your team checks rather than drives.
Native connection to your policy admin system, document stores, pricing engines, sanctions screening, and Databricks.
Wording, schedules, approval trails, and gap analyses in your existing templates, every clause cited to the facility document it came from.
EVIE™ extracts insurable risk and jurisdictional requirements, checks clause alignment, and flags exclusions and coverage gaps before binding.
Your Azure tenant or on-premise, client-owned approval workflows, audit logs retained locally for clause-level traceability.
Drafting cycles compress from underwriter days to minutes.
Every clause and exclusion cited to the facility document it came from.
A live gap analysis and an audit-ready approval trail on every policy.
Underwriting throughput climbs on the same headcount.
Deployed inside your firewall, never shared with a third-party AI provider.
Live in weeks, not a twelve-month build.
Days to deploy, minimal governance, vendor-side data custody, unmanaged hallucination risk. For wording that has to hold at a claims event, that is not a governance model.
Eight to sixteen weeks, high cost, variable governance, shared data custody. Typically shelf-ware within six months.
Six to twelve months to first policy, highest total cost, permanent maintenance obligation.
Two to four weeks pilot to production. Full audit trail, hallucination contained, data custody stays with you.
The control of a self-build, the speed of off-the-shelf, behind your firewall.
Deploy only the workflows you need now and scale on the same platform. You pay for outcomes, not licences or headcount.
Start with the one or two that matter most, then add more with no replatforming.
A library of proven workflows across the regulated risk lifecycle, live from day one.
Where requirements are specific to your book, our architects design and build with you.
Active pilot with a specialty and credit insurer, targeting significant time savings on policy drafting with the same underwriting headcount.
McKinsey, "The Future of AI in the Insurance Industry," 2026. Tier 1, major analyst firm.View source
Swiss Re Institute, "US Property & Casualty Outlook," January 2025. Tier 1, reinsurer research institute. Forecast, not outturn.View source
EIOPA, Solvency II Review Updates, 2025. Tier 1, primary EU regulator.View source
Deloitte, "2026 Insurance Industry Outlook." Tier 1, major analyst firm.View source
NAIC, "Leadership, Modernization, Resilience: NAIC 2026 Strategic Priorities," March 2026. Tier 1, primary US regulatory body.View source
Let's map your highest-cost underwriting workflow and quantify the recoverable hours, in your environment.