Measured outcomes. Defensible value.

AI initiatives only succeed when outcomes are explicit, measurable, and repeatable.
This page shows what Enkefalos has delivered in live production environments — not pilots, demos, or experiments.

Outcome Snapshot

Measured in production. Validated in operations.

75-85%

reduction in document review time

5X

increase in daily processing capacity

80%+

reduction in internal operational query effort

70%

reduction in document processing cost

These outcomes were achieved without compromising governance, auditability, or control.

InsurEasier

Insurance Decisions with AI-Augmented Workflows

The Challenge

Insurance quote comparison, document analysis, and internal reporting were time-intensive, static, and cognitively heavy for both customers and internal teams.

What Changed

Enkefalos embedded production AI directly into the InsurEasier platform, improving decision speed and learning across customer-facing and internal workflows.

Quote Comparison - Customer-Facing

60–70%

Reduction in quote comparison effort

3–4

Minutes per quote set
down from 8–12 minutes

Natural-language questions across full quote content

Preference learning improves comparisons over time

InsurAssist - Internal Operations

80%+

Reduction in operational query effort

90%+

Reduction In Query Time
from 15–30 minutes to seconds

global

Natural-language access to operational data without SQL or reports

DocuSure - Policy Document Intelligence

75–85%

Reduction in document review time

2–3

Minutes Per Policy
down from 10–20 minutes

growth

Improved consistency, traceability, and decision confidence

Across quotes, operations, and documents, InsurancGPT reduces decision effort by 60–85% while continuously learning enterprise preferences and workflows, compounding long-term IP value.

Why These Outcomes Hold Up

These results are not accidental. They are structural.

Enkefalos enforces

ROI validation before development

Data readiness before implementation

Governance at runtime, not after incidents

Human oversight where it matters

Controlled learning in production

Ready to Talk About Outcomes?

If AI outcomes matter in your organization, the next step is clarity.