Move commercial insurance forward.
Bring buried insights to light.
Navi is Parsewise’s AI assistant for carriers, MGAs and brokers. It prepares submissions, checks policies, reviews complex claims and analyses portfolios, linking each finding back to its source document.
Trusted by leading claims and underwriting teams.
Document AI research: state-of-the-art accuracy on Databricks' OfficeQA PRO Full Corpus benchmark, the hardest version of the test. Read the evaluation
Across underwriting, claims and the book.
Reduce time to bind, close claims faster and surface buried portfolio risks.
Submission preparation
Turn a broker email and its attachments into a structured submission, checked against your appetite and authority.
Faster time to quote
Learn more about submission preparationSubmissionBroker email
- Read email and 6 attachments
- Fill 38 submission fields
- Outside authority
- Refer to underwriterReview
Platform
One data foundation under every workflow.
Documents across underwriting, claims and the portfolio become one set of structured records. Underwriters, claims handlers and portfolio teams all work from the same records.
- Connected records
- A claim links to its policy, the parties, the experts and the reserve history.
- A source for every value
- Each extracted figure keeps the page it came from, ready to check.
- Your data model
- We agree the fields, relationships and checks with your team.
Ask, automate, analyse.
Navi, Workflows and Analytics all work from the same connected records.
Workflows
Automating the day to day.
Navi checks every document against what was agreed and drafts the fix for your team to approve. Here it finds a flood limit issued at £1m instead of the agreed £2m, before the client has a loss.
Explore WorkflowsPolicy checkPL-88213
- Read policy and binder
- Compare 42 terms
- Flood limit differs
- Draft correctionReview
Analytics
Finding the insights hidden in your data.
Bring policy, premium and claims records together for analysis. Put Navi to work on portfolio due diligence, then investigate claims and the records behind each finding.
Explore AnalyticsOpen claims
Reserves by month
Portfolio acquisition diligence and claims reconciliation
Making fragmented portfolio data usable.
For portfolio acquisition diligence and claims reconciliation, Compre uses Parsewise to standardise loss runs, bordereaux and policy documents, with anomalies and missing information flagged for review.
Read the Compre storyWhy teams choose Parsewise.
No unsupported answers
Every figure, clause or finding links to its source, and your team makes the call. Parsewise reads the whole document set rather than a sample, so a conclusion never rests on the pages someone happened to check.
Why we don’t sampleConfigured with your team
We configure your templates, business rules and checks, evaluate the results on real cases, and support your team as the work evolves.
We set it up with your team.
We configure Navi around your documents and business rules, test it with your team on real cases, and stay involved as your needs change.
Implementation & support
Security & sovereignty.
SOC 2 Type II and GDPR
Compliance status and documents in our trust centre.Hosted in Europe
Documents, data and model inference stay in Europe.Private cloud (VPC) deployment
Run Parsewise in your own cloud.
Encryption and access controls
Encrypted at rest and in transit. MFA included, SSO on Business and Enterprise.Documented data management
Retention and deletion policies, ready for your security team.
Common questions.
Why use Parsewise rather than a general AI chat or an in-house build?
Parsewise brings connected records, source evidence, configured workflows and portfolio analysis together. Our team handles configuration, evaluation and ongoing enablement with you. You retain ownership of the business rules and workflow configurations we develop together.
How do we know the results are accurate?
Navi links findings to source documents so your team can check figures and clauses, investigate exceptions and approve the next step. During implementation, we evaluate your workflows on your data and define checks with your team. The OfficeQA result measures a document question-answering benchmark; it is not an insurance accuracy guarantee.
Is our data used to train models?
No. Customer data is not used to train models. Review the applicable processing terms and security documentation with our team before onboarding.
How is our data stored and retained?
Parsewise provides European hosting and model inference, with encryption at rest and in transit. Our trust centre lists the data management and retention policy; contact our team to review retention and deletion requirements for your deployment.
Can Parsewise work with our existing systems?
Navi prepares outputs in your templates, and the browser extension helps populate forms. An API is available for developers. We agree the systems, connections and any custom development required during implementation.
How quickly can we start?
Growth and Business onboarding take three weeks, with the first workflows live within that time. Enterprise includes a two-month programme, with the first workflows live in month one. We agree scope, data and implementation requirements with you.
See Parsewise at work on your documents.
Bring a case your team needs to complete or a portfolio question you need to answer. We'll demonstrate the relevant workflow or analysis, then build a custom demo your team can test.