Make GenAI safe to use across Insurance
Dapto sits between your insurance teams, your core systems, and the AI tools you approve. Underwriters, claims, and service teams can use GenAI every day while Dapto checks prompts and responses for policy, privacy, and fairness before they are used.
Use AI with confidence
Let teams use copilots for claims, underwriting, and service without losing control.
Protect customer data
Keep PII and PHI inside your boundaries with masking and policy checks.
Prove every AI decision
Keep an audit trail that shows what AI saw, suggested, and where humans stepped in.
Insurance teams already use GenAI inside real workflows
From first notice of loss to renewal and exposure reviews, people are pulling AI into daily work. Dapto does not replace these tools. It makes them safe and explainable when they touch claims, coverage, and customer money.
Customer service
Agents drafting emails, letters, and scripts for policyholders with GenAI.
Claims and triage
Teams summarizing loss notes, repair quotes, and medical records.
Underwriting
Analysts asking AI to explain risk, coverage, and exposure across accounts.
Fraud and risk
Teams using GenAI to spot patterns in claims and customer behavior.
GenAI speeds up insurance work and introduces new model risk
When any employee can ask an LLM for help, you get faster answers. You also get made up coverages, unfair prices, and claims explanations you cannot support in front of regulators or customers.
Hallucinated coverage and pricing
Models can invent limits, exclusions, or price logic that do not exist in your policy systems or filings.
Sensitive data in the wrong channel
Health details, claim photos, and financial history end up in tools that do not apply your privacy rules.
No clear trail for AI assisted decisions
You cannot see which prompts, data, or checks shaped a claim decision or quote that was sent to a customer.
Regulators expect control
Supervisors and internal audit want to see how AI is governed. Most insurers are still at pilot stage.
The question is no longer if teams use AI. The real question is if you can see it, control it, and defend it when customers or regulators ask why.
One AI security and governance layer built for insurance work
Dapto gives you a single control layer for GenAI. It shows how AI is used in claims and underwriting, enforces your rules in real time, and gives you the evidence you need for risk, audit, and regulators.
See
- •See how AI is used in approved insurance workflows.
- •Understand which lines of business and teams rely on GenAI.
- •Spot high risk usage, such as sensitive data or edge cases.
Control
- •Check prompts and responses for policy and privacy rules.
- •Mask PII and PHI before it reaches models or users.
- •Apply one set of guardrails across your GenAI entry points.
Prove
- •Log every AI interaction with the needed context.
- •Attach policies, checks, and overrides to each answer.
- •Export evidence for model risk, audit, and regulators.
Where Dapto sits in your insurance stack
Dapto is not an LLM. It is a control layer that sits between your users, your policy and claims systems, and the AI tools you choose to route through it.
User sends a prompt
A claims handler, underwriter, or agent sends a request from an AI chat, copilot, or workflow.
Dapto intercepts and checks
Dapto checks the prompt against access rights, policy rules, and data privacy controls.
Dapto brokers safe data access
If allowed, Dapto connects AI to approved insurance systems, such as policy admin or claims data, under your rules.
Dapto evaluates the answer
The AI response is checked for risky content, missing context, or numbers that do not align with source data.
Everything is logged for review
Prompts, data paths, decisions, and overrides are logged so leaders can review and improve policies over time.
Example: AI assisted health insurance claim review
A health insurer wants to let claims teams use AI to review claims faster while staying fair, private, and compliant.
Without Dapto: fast and fragile
A claims analyst asks:
"Is this customer eligible for full reimbursement of this hospital stay under their current plan?"
- ❌The AI mixes policy terms with generic health content from training data.
- ❌It may misread exclusions or pre existing conditions for this plan.
- ❌Sensitive health details can appear in channels that are not covered by your privacy rules.
- ❌If a customer or regulator questions the denial, there is no clear trail to review.
With Dapto: supervised, explainable AI
1. Policy aware prompt checks
Dapto checks who is asking, which policy they refer to, and which health data they are allowed to use.
2. Safe data access only
The AI sees plan rules and claim history from approved systems through Dapto rather than raw databases.
3. Output validation
Dapto checks that the answer lines up with plan terms and recorded data. It flags unclear or speculative content.
4. Full log for review
Prompt, data used, checks, and the final answer are logged so leaders can review denied or edge case claims.
Example: AI assisted auto and home claims
A property and casualty carrier uses GenAI to support adjusters who estimate damage and explain outcomes to customers.
Without Dapto: unclear and unfair
Hallucinated repair costs
AI suggests repair amounts that do not match partner shop rates or past cases.
Biased pricing
Models lean on patterns that can look like unfair pricing by region or customer group.
Misread damage
AI misreads notes or photos and guides adjusters toward the wrong severity band.
Confusing explanations
Customers receive reasons that are not tied back to real policy text or data.
With Dapto: controlled, reviewable AI
Verified claim inputs
Dapto routes only approved claim data, partner prices, and policy rules into the AI.
Guardrails for fairness
Policies and checks help reduce unfair patterns and keep pricing logic within rules.
Better quality control
Leaders can sample and review AI assisted estimates with full context.
Transparent reasoning
Every AI suggestion links back to data and rules that humans can inspect.
What insurance teams get with Dapto
Dapto turns GenAI from a risky experiment into something you can use in real claims and underwriting work and still sleep at night.
Safer AI adoption
Teams can use GenAI in daily work with guardrails that reflect your policies.
Better customer trust
Decisions are clearer and easier to explain to policyholders and partners.
Stronger compliance posture
Show how AI is controlled and reviewed across the claims and policy lifecycle.
One control layer
Apply the same rules and logging to multiple GenAI tools and entry points.
Dapto helps carriers and MGAs use GenAI where it adds value while keeping control over data, rules, and outcomes.