Platform
Human-in-the-Loop
AI handles the heavy lifting. Your team steps in only when confidence is low or business rules require a human — before anything touches downstream systems.
Confidence-based routing
Route only what needs a human.
Every extraction carries a confidence score, and every flow carries your business rules. Work proceeds straight through when both clear your thresholds. Anything below — low confidence, missing documents, risk appetite hits, duplicate flags — routes to the queue, sorted by priority and assigned to the right specialist.
- Confidence + business-rule routing. Field-level thresholds combine with rules like missing docs, risk appetite, and duplicates.
- Configurable without code. Set thresholds and rules per field, per flow. Tune as your models learn.
- Reviewer assignment. Route by line of business, document type, or reviewer expertise.
- AI-generated work item summaries. Claimant, key dates, document types — surfaced before review.
Highlight Mode
Every answer is traceable to where it came from.
Click any field. Highlight Mode opens the source document and highlights the exact location the AI used — page, paragraph, coordinates. Every field shows its work. Verification in seconds, not minutes.
- Visual grounding. A line from each field to its source on the page.
- Color-coded confidence. 0.99 green, 0.93 amber, 0.87 needs review. Scan in seconds.
- Field-level editing. Click any field to correct. Changes auto-save instantly.
- More than data review. Validate AI summaries, confirm duplicate flags, and ask the AI Assistant questions like "where is the date of loss?"
Feedback-driven learning
Every correction trains the next run.
Experts stay in control. Reviewer actions feed Bevaya's patented governed-learning architecture which is then captured, audited, validated, and used to improve the next extraction. The longer you run Bevaya, the shorter your review queue gets.
- Patented feedback architecture. The mechanism that closes the loop is uniquely Bevaya's.
- Immutable audit trail. Every action (original output, reviewer ID, correction, timestamp, confidence) logged forever.
- Selective recompute. Fix one bad extraction without rerunning the whole flow.
- Override metrics surface drift. Track override rates per field. Spot problems before they spread.
FEATURE INDEX
Inside Human-in-the-Loop.
Every feature that ships with the workspace, grouped by what it does.
Routing & queue management | Capability
Work items land in the right queue, with the right reviewer, at the right priority. Confidence scores and business rules drive routing — no manual triage required.
- Field-level confidence routing
- Business-rule routing (missing docs, risk appetite, duplicates)
- Configurable thresholds per field, per flow
- Status pills (Requires Review, In Progress, Complete)
- Sort by status, age, reviewer, or confidence
- Filter by flow, source, or group
- Search across work items
- Auto-assignment rules
- Manual reviewer reassignment
- Queue depth and aging metrics
Review & verification | Capability
Reviewers see exactly where every value came from, why the model returned it, and what to do next. Four clear actions, source-grounded evidence, and field-level edits with auto-save.
- X-Ray Highlight Mode source grounding
- AI-generated work item summaries (Insights tab)
- Summary validation and duplicate confirmation
- AI Assistant for in-context document Q&A
- Field-level confidence scores
- Field-level editing with auto-save
- Four reviewer actions: Confirm, Correct, Mark missing, Flag
- Field grouping by source or category
- Source document filters
- Comments per field
- Selective recompute
Governance & audit | Capability
Every action — original model output, reviewer ID, correction, timestamp, confidence, and duration — is captured in an immutable log. RBAC partitioning and one-click compliance exports keep auditors satisfied.
- Immutable audit log
- Per-action capture: original output, reviewer ID, correction, timestamp, confidence, duration
- RBAC partitioning by project
- Reviewer attribution on every action
- Override rate tracking per field
- Compliance export for SOC 2, ISO 27001, and HIPAA reporting
Continuous learning | Capability
Every correction feeds Bevaya's patented feedback architecture. Override metrics surface model drift early, and retraining happens without taking the flow offline.
- Patented feedback architecture
- Governed learning loop
- Override metrics surface model drift
- Per-field improvement tracking
- Model retraining without flow downtime
Resources & insights
More on Human-in-the-Loop
Research
Page stream segmentation with LLMs
How Bevaya Labs approaches a foundational problem in insurance document AI.
Case Study
Workers' comp carrier processes claims 100x faster
How indexing automation delivered 432% ROI in 12 months.
Architecture
Inside the Bevaya platform architecture
How specialized models, HITL controls, and integrations come together in production.
More Capabilities
Explore the rest of the platform.
Designed, deployed, and governed together. Powered by InsurGPT™ and accessed through the AI Assistant.
Workflow Canvas
Visual builder and production runtime for every automation.
Current pageHuman-in-the-Loop
Configurable review queues with X-Ray verification and a patented feedback loop.
Current pageDocument Intelligence
Read any insurance document — hundreds of carrier formats, scanned or digital.
Current page GroundingGrounded Explainability
Every value traceable to its source. X-Ray Highlight Mode brings citations to reviewers.
Current page AnalyticsAnalytics Dashboard
Live accuracy, STP rates, reviewer SLA, and agent performance across every workflow.
Current page GovernanceGoverned Automation
Immutable audit trails, role-based access, flow versioning. Compliance is the architecture.
Current pageTrust & Security
Trust by design
Built for an industry where data security isn't optional.
Your data stays yours.
Never shared with other customers or vendors. Bevaya doesn't train shared models on your data.
Visit the Trust CenterYour data · only your team sees it
Encrypted end-to-end.
256-bit AES encryption, in transit and at rest. Independent third-party audits conducted annually.
Visit the Trust CenterAudited annually · independent third party
Runs in Azure.
Enterprise-grade infrastructure, hosted where insurance organizations already trust their data.
Visit the Trust CenterDeploy where your stack already lives
Every decision audited.
Immutable audit logs. Confidence scoring. Human-in-the-Loop review on low-confidence items.
Visit the Trust CenterImmutable trail · every decision, every reviewer
FAQ
Common questions.
They're held in the review queue. Downstream systems — your policy admin, claims system, Guidewire, anything connected to the flow — never see them until a human has reviewed and resolved them. The flow resumes automatically once the reviewer submits.
Yes. Thresholds are configurable per field, per flow. Bevaya recommends starting thresholds based on your accuracy SLA, then tuning them as the models learn. Adjustments are made on the Workflow Canvas without code.
A BPO is a service. HITL is a system. With Bevaya, every correction is captured, audited, and fed back to the models — and your team sees the metrics. With a BPO, the work happens off-platform and the learning leaves with the vendor.
Yes. RBAC supports partitioning at the project level. A Workers' Comp reviewer never sees Commercial Auto work items unless explicitly granted access. Items can be auto-assigned by rule or manually routed.
Per reviewer action: the original AI output, the reviewer identity, the corrected value, the timestamp, the confidence at decision time, and the review duration. Logs are immutable and exportable for compliance reporting.
Get Started
Ready to design, deploy, and govern your AI workforce?
Bevaya AI Agents can help you triage, analyze, and recommend across underwriting, claims, and policy servicing. Let's connect and show you how it works.