Meet your
new
Quote
Intelligence Analyst.

A digital document specialist who extracts Tables of Benefits from any quote format —
complex PDFs, scanned documents, mixed-language files —
with zero inference, zero hallucination, and complete traceability back to the source.
-The Problem

Manual ToB extraction is
a liability hiding in plain sight.

Insurance professionals are highly trained.
Extracting data from inconsistently formatted PDFs is not a task that deserves their attention —
but when it goes wrong, it creates downstream errors
that cost far more to fix than to prevent.
Every document is different
Quotations arrive as multi-page PDFs, scanned images, bilingual documents, and inconsistently structured tables. No two carriers format the same information the same way.
Extraction errors compound
A misread percentage or an overlooked exclusion condition doesn't just create a data error — it propagates into client proposals, comparisons, and ultimately contract terms.
AI hallucination risk
Generic AI tools fill gaps with plausible-sounding values. In a Table of Benefits, there is no such thing as a "reasonable guess" — every field must be exact or flagged as uncertain.
Language complexity
Handling bilingual documents — Arabic and English — with mixed OCR quality requires specialised processing that generic extraction tools consistently mishandle.

50%

40%

Zero

Hallucinated or inferred values
Schema-validated outputs

100%

Arabic

& English documents supported
of broker admin time is
coordination overhead
longer quote cycles
when follow-ups
are manual
of RFQs experience at
least one missed
carrier response

A digital analyst
who extracts
exactly what's written
— nothing more.

The Zentis Quote Analyst applies a strict, schema-driven approach to document intelligence.
It extracts the Table of Benefits exactly as written in the source document — no inference, no enrichment, no guessing.
When something is ambiguous, it flags it for human review rather than fabricating a value.

The result is deterministic extraction: the same document produces the same output every time,
with a full traceable link back to every extracted value's source location.
-The Solution
-What It Does

From raw document to
structured intelligence.

Every step from document classification to structured output delivery —
handled with deterministic precision.
Classifies every document type
Identifies whether a PDF is text-based, scanned, or mixed before applying the right extraction approach — OCR is used selectively, only when required.
Extracts exactly as written
Captures the full Table of Benefits row by row, validating row-column consistency and numeric formats against the schema without making interpretive assumptions.
Flags what it can't confirm
Uncertain values are surfaced explicitly rather than filled. The analyst never fabricates a plausible answer — it identifies where human judgment is genuinely needed.
Maintains version history
Tracks every revision of a quote document over the RFQ lifecycle. The current version is always clear, and historical versions are fully preserved.
Generates clean outputs
Produces a standardised PDF containing only the structured Table of Benefits — no extraneous content — alongside a structured JSON feed ready for downstream systems.
Delivers directly to your systems
Outputs are sent directly into your existing platforms — structured JSON for integrations and clean PDFs for review — without manual handoff.
-Expected Impact

What changes when extraction
becomes deterministic

Measurable outcomes from day one of deployment.
Manual ToB extraction Every document processed automatically

Zero

Zero

Hallucinated or inferred values Uncertainties flagged, never filled
Audit-ready structured outputs Fully traceable to source

100%

Faster quote comparison readiness Structured data from the moment of receipt

↑ Speed

Enterprise-grade by design

-Security & Compliance
Deviprasad Thrivikraman · Managing Director, Zentis AI
30+ years in global BFSI operations
Built to meet the security, privacy, and compliance requirements of
regulated financial institutions from day one.
SOC 2 Certified
GDPR Compliant
BCBS 239 Ready
On-Premise Deployable
Air-Gapped Environments
LLM-Agnostic
Cloud-Agnostic
Full Audit Logging

The most dangerous AI in insurance isn't the one that gets things wrong —
it's the one that gets things wrong confidently. We built the opposite: an
analyst that knows exactly what it doesn't know.

"

Ready to hire your
Quote Intelligence Analyst?

See the Zentis Quote Analyst extract a live document — with your own carrier quotes, in your own
formats, with full traceability from the first
field.

Job Application