NewCover by SafyLabs

AI agents for insurance operations.

NewCover helps brokerages, MGAs, and carriers clear the daily follow-up work that stalls renewals, claims, collections, and servicing queues.

Built for
Brokerages, MGAs, carriers
Focus
Follow-through work
Control
Human approvals

For Customers

Give every insurance team a reliable operating queue.

Insurance teams already know what needs attention. The hard part is ranking the work, choosing the next action, and proving what happened across a large book of business.

NewCover turns those scattered follow-ups into AI-assisted queues with source data, confidence, ownership, approvals, and outcome records attached.

Use Cases

Agents for the work that falls between systems.

NewCover is designed around the insurance workflows where missed follow-through creates leakage, delays, and customer risk.

01

Renewal follow-up

Find accounts at risk, recommend outreach, and keep proof of action tied to the renewal record.

02

Servicing exceptions

Surface blocked work, assign ownership, and keep teams moving without losing approval boundaries.

03

Claims and document chase

Track what is missing, what changed, who owns it, and which action should happen next.

04

Collections and retention

Prioritize follow-up by risk, value, and timing so the right accounts get attention first.

Product

NewCover gives insurance teams agents that keep follow-through moving.

The operator view ranks work, shows the reason, recommends the next action, and keeps confidence, source data, guardrails, approval state, and target outcome visible.

  • Prioritize renewals, servicing exceptions, claims follow-up, and collections work
  • Recommend next actions with confidence, source data, and guardrails
  • Keep approvals, ownership, and audit-ready outcomes attached to every action
NewCover product screen showing the daily insurance operations queue
NewCover operator view

How It Works

AI assistance with clear operating control.

Prioritize

Rank daily work by urgency, value, risk, and customer impact.

Recommend

Suggest next actions with supporting data and confidence signals.

Prove

Record ownership, approvals, outcomes, and attribution for review.

Trust Layer

Built for teams that cannot afford black-box automation.

Human approvals

Actions that need judgment stay gated by approval states and clear ownership.

Source-backed recommendations

Operators can see why a work item surfaced and which data supports the action.

Audit-ready outcomes

Each action keeps the target outcome, attribution, and final record together.

SafyLabs

Bring AI agents into your insurance operating rhythm.

SafyLabs develops and operates AI agent software for business customers, with NewCover as its current product for insurance operations and follow-through workflows.

Contact SafyLabs