RiskWise.AI continuously monitors billions of signals across legal, regulatory, academic, news, social, and financial data. It extracts the specific forces driving risk, attributes them to the companies and exposures they affect, and delivers a source-cited, continuously updating view tailored to your underwriting workflows.
News · Social · Legal
Academic · Regulatory
Financial · Earnings
High-recall retrieval
Proprietary reranking
Causal force extraction
Risk hierarchy mapping
Perceived and actual risk
Entity attribution
Continuously updating
Source-cited views
This response confirms our understanding of GA Custom's objectives and provides the proposed POC scope and deliverables, delivery plan and service targets, support cadence, data source coverage, and a commercial proposal aligned to your requested pricing views.
Establish expectations for turnaround times, service levels, and projected costs, anchored on a per-annum subscription model with scope-based pricing and optional integration scope.
This evaluation is structured around your actual accounts and the emerging risks your team identified. No synthetic data. You evaluate RiskWise against decisions you are already making.
Each company receives a dedicated, continuously updating risk profile combining signals from litigation, regulation, media, research, and more into a single underwriting view.
These profiles track entire risk ecosystems: who is exposed, how the risk is evolving, and where it is headed. Built for portfolio-level decisions.
Each profile answers the questions that matter at renewal: Is this risk growing or receding? What is the evidence? Who else is exposed? Should we write, expand, or restrict?
Where risk is headed: trending up, stable, or improving, grounded in data across all monitored sources.
The specific causal forces behind a risk's movement, traced to regulatory filings, scientific publications, or plaintiff activity, with source citations.
How risk is being framed: new allegations, legal theories, and emerging exposures that often precede loss escalation.
Quantified, comparable risk scores over time, calibrated against real outcomes: litigation filings, regulatory actions, product recalls.
Which other companies share the same risk exposures. Calibrate severity against peers and identify portfolio concentration.
On-demand, interactive reports compiling the full context surrounding a risk, every source cited, every connection mapped.
RiskWise supports both default AI-driven mapping and guided or hybrid mapping where GA informs the guardrails. Your team decides how much control to take.
The platform automatically maps risks to companies, continually surfaces new risks as they emerge, and updates Drivers across Company and General Risk profiles as the signal landscape evolves.
GA can inform, constrain, or prioritize how risks map to specific companies and how Drivers align across all profiles, with RiskWise continuously updating within those guardrails. Admin users can also govern how the model behaves and how entities are classified in-platform to reflect GA underwriting judgment, including:
You choose the level of automation: fully AI-driven discovery, guided mapping where GA sets the parameters, or a hybrid of both. The system updates continuously within your rules.
Admin users govern how the model behaves and how entities are classified, shaping risk indices, driver weights, and visibility to reflect GA's underwriting standards.
We will align on a success rubric in Week 1, revisit at midpoint, and build a final readout with examples and findings so the POC leads to a clear decision.
Define success criteria, agree on scoring framework
Evaluate against rubric, calibrate, course correct
Scorecard with examples, findings, and recommended footprint
Your stated evaluation criteria include usability, relevance and quality, timeliness vs. SLA, underwriting value, and cost-effectiveness. We propose translating these into an agreed scorecard:
How well outputs support underwriting and renewal workflows
Are insights material and decision-relevant?
Can every insight be traced to a defensible source?
Does delivery meet agreed service expectations?
Can coverage expand without degrading quality?
Final readout: As we approach the conclusion of the 90-day POC, RiskWise and GA will collaborate to form a final readout mapped to the rubric with examples, findings, along with a recommended production footprint and next steps.
The 90-day POC validates underwriting and portfolio value for excess and umbrella workflows, and defines the right production footprint if you move forward.
Delivery timing begins once RiskWise receives (1) the finalized list of companies and general risks in scope and (2) GA user access details (SSO/IDP configuration or user roster) plus any required security approvals.
Configure access, user roles (Users vs Admins), and any initial mapping guardrails GA wants to apply (optional).
RiskWise configures the profiles, runs initial ingestion and mapping, backfills five years of historical data for each new profile, and publishes the baseline set in-app for GA access.
Conduct onboarding and align the operating cadence for feedback, calibration, and requested additions. The 90-day POC will commence on this date.
A named support team facilitates weekly working sessions on deployment, enablement, and adoption, with fast-turn support between sessions.
Up to five early-adopter checkpoints with our Data Science team to review results, pressure-test assumptions, calibrate model behavior, and translate GA feedback into configuration updates and roadmap priorities.
The initial set of 12 profiles (10 Company and 2 General Risk) will be delivered in-app within five business days of the Start Condition being met, inclusive of five-year historical backfill.
If GA requests additional profiles during the POC, up to 10 profiles will be delivered in-app within five business days of request. Requests exceeding 10 profiles will be scheduled on a mutually agreed timeline based on scope and request volume.
For time-sensitive profile additions, RiskWise will make best efforts to deliver within three business days; expedited timing is not guaranteed and may depend on request volume and resourcing.
"Delivered" means the requested profile is visible in-app to authorized GA users, includes a five-year historical backfill, and is included in the relevant indices, Drivers, Narratives, and mapping views.
Self-serve creation of new Company, Industry, and General Risk profiles in-app is planned for a future release (estimated 6 to 12 months) and is not required for POC delivery.
RiskWise is an annual subscription priced by two variables: the volume of risk profiles tracked, and any system integrations. Seats are always unlimited.
Below are direct responses to the data coverage questions your team raised, with supporting detail on each source category.
Following this call, RiskWise will send a POC Response Pack containing the materials below. A broader working session can be scheduled as needed to confirm workflow alignment, kickoff date, user access, cadence, and procurement path.