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Platform

AI Assistant

Your AI teammate on every screen. The AI Assistant builds flows on the Canvas, triages the review queue, and pulls answers from any document — through plain conversation.. 

Bevaya AI Assistant
END-3204
I've reconciled the broker's endorsement request against the policy. Most of it is clean, but there's one driver discrepancy I want to flag, and a few reasons this can't go straight-through. Ask me anything.
Suggested Questions
Type a message…
Plain English. Real actions.

A sample of what your team can ask

Try asking

"Let's create a new FNOL auto loan claim extraction flow."
"Where in the document is the date of loss?"
"Show items in Requires Review status, assigned to me."
"Summarize the latest work item."
"What was processed yesterday?"
"Add a classification step for police reports and auto claims reports."
"Why did the AI flag this field for review?"
"What's our STP rate on the Claims Indexing flow this week?"
"Reassign all of Maria's open items to the on-call reviewer."
Conversational actioning

Build the flow by describing it.

Tell the AI Assistant what you need — "let's create a new FNOL auto loan claim extraction flow" — and watch the Workflow Canvas build itself. Fields, classification logic, routing rules, the lot. The AI Assistant proposes the configuration, you confirm field-by-field, it commits the changes.

  • Flows from plain English. The AI Assistant proposes nodes, fields, and logic. You confirm each step before anything is committed.
  • Configuration without code. Adjust extraction prompts, classification rules, confidence thresholds, and reviewer assignments through chat.
  • Drafts stay drafts. Every change lands in a draft version. Nothing reaches production until your team publishes.
  • For business builders, not developers. Operations teams configure their own flows. IT keeps governance, not gatekeeping.
Bevaya AI Assistant
Drafting
 
 
FNOL Trigger
 
0.99 Pending
 
InsurGPT: Extract claim fields
 
0.98 Pending
 
Validate Fields
 
0.95 Pending
 
Review queue routing
 
0.88 Pending
0 nodes committed · 0 awaiting your confirmation
draft
PDF
Demand_Letter.pdf
Highlights
 
Page 1 of 1 100%
WEXLER LAW FIRM
Attorneys at Law · Personal Injury
 
May 2, 2026
VIA EMAIL: claims-intake@bevaya-demo.com
 
RE: Daniel R. Smith v. Stoltz Trucking & Logistics LLC
Date of Loss: November 14, 2024
Claim Number: CLM-2024-118827
 
Dear Adjuster:
Please consider this letter our formal demand
in the total amount of $385,000.00.
 
 
 
Awaiting question…
AI Assistant
Thinking
 
 
Where is the date of loss?
0
Date of loss appears on page 1, paragraph 3.
page 1 · ¶3
0
 
Type a message…
 
Document-aware assistance

Ask the document. Get a grounded answer.

"Where is the date of loss?" "Summarize the latest work item." "Why did this field get flagged?" The AI Assistant reads the same document your reviewer is reading, points to the exact source on the page, and explains its reasoning. The AI Assistant is grounded in your work item, your flow, and your documents.

  • Answers tied to the source. Every response shows the page, paragraph, and confidence. Highlight Mode is one click away.
  • Cuts review time in half. Reviewers stop hunting through 40-page submission packages. Ask the question, get the location.
  • Grounded in your data. The AI Assistant works from the work item in front of the reviewer — not the public web.
  • It can explain its own decisions. Ask why a field has 0.87 confidence. The AI Assistant tells you what it saw and why it wasn't sure.
Context persistence

One teammate. Every screen. Full memory.

The AI Assistant doesn't reset when you change pages. Start a conversation on the Canvas, finish it on Analytics , pick it back up in a work item review. It knows what you were looking at, what flow you were building, and what question you asked five clicks ago.

  • Continuous context. The AI Assistant carries your conversation across every screen - Canvas, queues, work items, dashboards.
  • Embedded guidance. Contextual onboarding for new users. Next-best-action prompts for experienced ones. The right help at the right moment.
  • Every interaction trains the platform. Corrections, confirmations, and rejections flow into Bevaya's governed learning loop, the same patented architecture behind HITL.
  • Governed and auditable. Every AI Assistant action is logged with reviewer ID, timestamp, and outcome. Same audit standard as everything else on the platform.
One conversation · every screen
Persisting
 
 
Workflow Canvas
 
14:02 Loading
 
Review Queue
 
14:09 Loading
 
Work Item
 
14:15 Loading
 
Analytics Dashboard
 
14:21 Loading
14:02CANVAS"create FNOL auto loan flow" 14:09QUEUE"sort by confidence, route to Karen" 14:15ITEM"why was the driver name flagged?" 14:21DASH"show override rate for effective_date"
Four screens. One thread. The assistant carries context across the platform.
Who it's for

An expert beside everyone on the platform.

Builders ship faster. Reviewers verify faster. Leaders see what's happening, in plain English, in real time.

Business builders | Ask the Assistant

Operations leaders, claims managers, and underwriting ops — the people who know the work — change extraction logic, routing rules, and thresholds themselves. No JIRA ticket, no waiting on a sprint.

  • Adjust extraction logic from the canvas — same-day shipping
  • Edit routing rules and confidence thresholds without code
  • Conversational edits with diff preview before publish
  • Versioned workflows with one-click rollback
  • Side-by-side testing on sample submissions
  • Sandbox-to-production promotion with approvals
  • "Add a duplicate check before the Guidewire write step."

Reviewers | Ask the Assistant

Claims adjusters and underwriters ask the Assistant where data came from, what a field means, or why something was flagged. Then move on.

  • Field-level citations to page, paragraph, and coordinates
  • X-Ray Mode source highlighting on every extracted value
  • Calibrated confidence scores with model rationale
  • Inline definitions for fields and coverage codes
  • Carrier-specific terminology resolved in context
  • One-click navigation from value to source artifact
  • "Why is this field below the threshold?"

Leaders & analysts | Ask the Assistant

VPs, COOs, and ops leaders ask for STP rates, queue depth, reviewer SLA, or override patterns — without writing a query or waiting for a BI ticket.

  • Live operational metrics in plain English
  • Queue depth, throughput, and SLA at a glance
  • Override pattern detection across reviewers
  • Exception spike alerts with explanations
  • Weekly executive summaries generated on demand
  • No SQL, no BI ticket, no dashboard refresh wait
  • "What's our STP rate on Claims Indexing this week?"
 
Feature index

Inside the AI Assistant

Configure flows, verify documents, manage queues, and audit decisions - all through conversation.

Conversational actioning | Plain-English actions

Take action through plain conversation.

Tell the Assistant what you need. It proposes the configuration step by step and confirms each change before it commits — no menus, no tickets, no code.

  • Natural-language flow building on the Workflow Canvas
  • Field-by-field confirmation before changes commit
  • Configure extraction, classification, and routing rules
  • Adjust confidence thresholds without code
  • Reviewer reassignment and queue management
  • Quick-prompt suggestions in every panel
  • Multi-turn conversation with full edit history

Document-aware assistance | Grounded Q&A

Ask the document. Get a grounded answer.

Every response is tied to the source. The Assistant reads the same document your reviewer is reading, points to the exact location on the page, and explains its reasoning.

  • Query extracted fields in plain English
  • “Where is the date of loss?” returns the source location
  • One-click X-Ray Highlight Mode from any answer
  • Work item summarization on demand
  • Duplicate and exception explanations
  • Confidence-score rationale (“why is this flagged?”)
  • Cross-document Q&A within a work item

Context persistence | Cross-screen memory

One conversation. Every screen.

The Assistant doesn’t reset when you change pages. It carries your conversation across the Canvas, queues, work items, and dashboards — and remembers what you were working on.

  • Memory across dashboards, flows, work items, and documents
  • Knows the active work item, flow version, and reviewer
  • Continuous conversation across sessions
  • Embedded onboarding for new users
  • Next-best-action prompts in every screen
  • Shortcut suggestions for power users

Governed & explainable | Audit & compliance

Built on the same trust architecture.

The Assistant operates within your audit trail. Every action is logged, every response carries citations, and every interaction respects your role-based permissions.

  • Citations and confidence on every response
  • Reasoning shown alongside the answer
  • RBAC-aware — only acts within the user’s permissions
  • Immutable audit log for every Assistant action
  • Reviewer feedback feeds the governed learning loop
  • No external data leakage — grounded in your tenant
  • SOC 2 Type 2, HIPAA, GDPR, NYCRR 500
 
Resources & insights

More on conversational AI for insurance

Case Study - claims
Research

Page stream segmentation with LLMs

How Bevaya Labs approaches a foundational problem in insurance document AI.

Case Study - claims
Case Study

Workers' comp carrier processes claims 100x faster

How indexing automation delivered 432% ROI in 12 months.

2026.06.02-library-webinar-registration-how-to-establish-clear-ai-ownership-in-your-insurance-organization
Architecture

Inside the Bevaya platform architecture

How specialized models, HITL controls, and integrations come together in production.

Trust & Security

Trust by design

Built for an industry where data security isn't optional.

Data ownership

Your data stays yours.

Never shared with other customers or vendors. Bevaya doesn't train shared models on your data.

Visit the Trust Center
Your tenant
No training
Logical isolation
Role-based access
SSO + SCIM
Customer-managed keys

Your data · only your team sees it

Compliance

Encrypted end-to-end.

256-bit AES encryption, in transit and at rest. Independent third-party audits conducted annually.

Visit the Trust Center
SOC 2 Type 2
HIPAA
GDPR
CCPA
23 NYCRR 500
AES-256

Audited annually · independent third party

Deployment

Runs in Azure.

Enterprise-grade infrastructure, hosted where insurance organizations already trust their data.

Visit the Trust Center
Microsoft Azure Azure Marketplace
AWS Private VPC
Google Cloud GCP-native
Azure Marketplace
Guidewire Marketplace

Deploy where your stack already lives

Oversight

Every decision audited.

Immutable audit logs. Confidence scoring. Human-in-the-Loop review on low-confidence items.

Visit the Trust Center
AI extracted limits from ACORD 125 98% conf.
Reviewer confirmed coverage Approved
Endorsement flagged for review 62% · HITL
Policy match validated 95% conf.
Audit log written · immutable Sealed

Immutable trail · every decision, every reviewer

FAQ

Common questions

No. A chatbot answers questions. The AI Assistant takes action — building Flows on the Workflow Canvas, filtering queues, summarizing work items, reassigning reviewers. It's an AI teammate inside the platform, not a help widget bolted onto it.

Every change the AI Assistant proposes lands in a draft version of a Flow. Nothing reaches production until a human reviews and publishes it. The Workflow Canvas keeps strict separation between draft, staging, and production environments.

Generic LLMs guess at insurance. The Bevaya AI Assistant is grounded in your work item, your flow, your documents, and your platform actions — and it's powered by InsurGPT™, our mosaic of specialized insurance AI models. It doesn't hallucinate document fields. It cites its sources. And it operates within your role-based permissions and audit trail.

Yes — that's ultimately our design goal for our platform. The AI Assistant proposes the configuration step by step and confirms each field before committing. Bevaya's team is alongside you for production deployments and ongoing tuning, but day-to-day adjustments — new fields, new routing rules, new thresholds — will soon no longer require an engineering ticket.

Every AI Assistant action is captured in the immutable audit log: the user, the prompt, the proposed change, the confirmation, the resulting flow or work-item update, and the timestamp. Logs are exportable for SOC 2 and HIPAA reporting and respect the same RBAC partitioning as the rest of the platform.

Yes — through Bevaya's governed learning loop. Every confirmation, correction, and rejection feeds back into the models, scoped to your tenant. The AI Assistant gets better at recognizing your flows, your fields, and your team's preferences over time. No data leaves your environment.

GET STARTED

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your
AI Workforce?