Beginner Guide

Desiging Autonomy

Design team autonomy with clear AI boundaries, escalation paths, and measurable operating standards. Chain all Prudens AI features into one controlled operating loop, orchestrated by an omnichannel Virtual Assistant.

View Autonomy Model Open Virtual Assistant Feature All Guides

Autonomy outcomes

  • Single intake queue across portal, phone, email, SMS, and online forms
  • State-based workflow progression with explicit approvals and stop conditions
  • Automatic handoff between comparison, proposal, forms, appetite, and submissions

How Prudens Autonomy Works

The Virtual Assistant is the orchestrator. Every feature is a state in one managed workflow.

01

Omnichannel intake

Capture intent and account context from portal, email, SMS, phone, and online requests.

02

State classification

Classify request by workflow type, urgency, and risk profile before any downstream action.

03

Coverage analysis

Route to policy comparison where structured data checks for gap risk and premium movement.

04

Proposal generation

Build client-facing recommendation packages with approved rationale and standardized outputs.

05

Form fill execution

Populate required PDF, HTML, and JSON forms from trusted account and policy sources.

06

Carrier appetite routing

Score carrier fit and produce a preferred submission sequence with explicit route rationale.

07

Submission and FNOL path

Push complete packages into submission queues and escalate FNOL scenarios by SLA policy.

08

Feedback and optimization

Use outcomes to refine prompts, confidence thresholds, SOPs, and escalation policies.

State Machine Model (Operational Concept)

Think of autonomy as managed states, not one long script. Every transition has a trigger, control, and fallback.

State Trigger System Action Control Gate Next State
Intake Received New request from any channel Normalize request, attach account context, classify workflow Minimum required data present Classified Workflow
Classified Workflow Intent + urgency + line of business resolved Assign SOP and owner profile Confidence threshold and policy match Analysis Queue
Analysis Queue Comparison required Run structured policy comparison with gap and premium checks E&O rule checks and premium movement alerts Proposal Ready
Proposal Ready Recommended option selected Generate proposal package and insured communication draft Approval required on material changes Forms Required
Forms Required Submission package initiated Auto-fill forms and validate completeness Required fields and document checks Carrier Routing
Carrier Routing Carrier appetite and fit available Build preferred submission order and route packet Out-of-appetite exception handling Submission Sent
Submission Sent Carrier response received Update status, issue confirmations, and request missing info if needed SLA timers and escalation policies Resolved or Loopback

Feature Chain Controlled by the Virtual Assistant

Each module is independently useful, but strongest when chained in one control loop.

AI Receptionist

Central omnichannel controller that classifies intent, applies SOPs, and routes every request.

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Policy Comparison

Structured comparison enforces consistency and flags E&O and premium-change risk before recommendation.

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Proposal Builder

Converts approved analysis into client-ready proposals with consistent language and structure.

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Form Fill Automation

Completes required form sets and validates package quality before carrier submission.

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Carrier Apatite and Submission

Maps carrier fit and routes complete submissions through an ordered and traceable process.

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FNOL Submissions

Adds urgent event handling with SLA-aware escalation paths for high-priority workflows.

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MCP Server as autonomy control plane

MCP enables governed tool execution across systems. Use it to expose approved actions, enforce environment-specific controls, and keep auditable traces of autonomous operations.

View MCP server feature

Control model for safe autonomy

  • Role-based action permissions by workflow and channel.
  • Approval gates for premium-impact, coverage, and commitment decisions.
  • Confidence thresholds with automatic fallback to human review queues.
  • SLA timers with escalation routing and response tracking.
  • Event logging for every transition, user action, and AI action.
  • Exception reason codes for continuous model and SOP refinement.

Omnichannel Virtual Assistant operating pattern

  • One queue of truth across portal, phone, SMS, email, and online intake.
  • One state machine per request, regardless of originating channel.
  • Channel-aware messaging templates with shared workflow context.
  • Automatic continuity when requests jump channels mid-process.
  • Escalation bundles include transcript history, documents, and state timeline.

30-60-90 Day Rollout Plan

Deploy autonomy in controlled phases so quality improves as volume scales.

Days 1-30

  • Map SOPs and ownership for one line of business.
  • Enable AI Receptionist on one intake channel group.
  • Activate comparison and proposal chain with approvals enabled.

Days 31-60

  • Enable forms automation and carrier routing for target workflows.
  • Tune confidence thresholds and escalation paths.
  • Start KPI reporting on cycle time and first-pass quality.

Days 61-90

  • Expand to additional lines and channel volumes.
  • Enable MCP-governed tool execution for approved actions.
  • Lock in weekly QA, state-transition audits, and SOP updates.

Autonomy KPI Scorecard

Measure outcomes, not just automation activity.

Intake to first action

Target: reduce by 40% with omnichannel classification and SOP auto-routing.

First-pass completion

Target: exceed 90% complete package quality before carrier submission.

Escalation precision

Target: reduce unnecessary escalations while preserving SLA outcomes.

E&O risk controls

Target: 100% documented rationale for premium-impact and coverage-change recommendations.

Build autonomy that is fast, explainable, and controlled

Start with the Virtual Assistant, apply a state-machine workflow, and chain modules only when controls are ready.

Start with AI Virtual Assistant