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Turn Months of Credentialing into Hours

AI-powered automation built on real-time, continuously validated provider data—enabling always-on credentialing and eliminating backlog without added headcount.

Overview

Why Credentialing Breaks at Scale

Provider onboarding and verification processes don’t slow down due to a lack of effort. They slow down because provider data is fragmented, outdated, and not designed for modern healthcare operations. At its core, credentialing comes down to data, not workflows.

Unreliable provider data

Self-reported, fragmented, and outdated, driving rework, delays, and compliance risk.

Sequential workflows

Fragmented data forces step-by-step verification, creating systemic bottlenecks.

Scaling increases effort, not throughput

Poor data quality drives manual work, making headcount a temporary fix.

Direct revenue impact

Uncredentialed providers cost $5,000–$50,000 per day, contributing to $3.5B in annual losses.

SOLUTION

Credentialing Reimagined with Real-Time
Data and AI

Innova transforms onboarding and enrollment with a unified, real-time data foundation, enabling intelligent orchestration at scale.

Powered by Agentic AI and 7,600+ primary data sources, the platform aggregates, validates, and continuously refreshes provider data eliminating manual dependencies and enabling continuous verification.

This shifts credentialing from a periodic process to a continuous “Know Your Provider” (KYP) model. Provider profiles are persistently monitored, updated, and validated as new data emerges, ensuring credentialing status is always current.

What changes:

Processes run in parallel, not in sequence
Primary source verification happens simultaneously at the origin
Provider data is validated, enriched, and verified at intake instead of corrected mid-process
A single, trusted data foundation replaces fragmented systems and manual reconciliation
Teams shift from processing applications to reviewing decisions
Credentialing becomes continuous, with real-time monitoring of provider status, risk, and compliance
Result: Cycle times shrink from months to minutes or hours, while improving compliance, data quality, and provider experience.

KEY OUTCOMES

Real-World Impact

Faster provider onboarding, lower cost, and audit-ready compliance for payers and providers, delivered from the start.

95%+

Provider Data Accuracy

70%

Faster Credentialing Cycles

80%

Reduction in Administrative Effort

<5%

Application Rework

CORE CAPABILITIES

How It Works

Five intelligent agents orchestrate end-to-end provider data validation, verification, and enrollment.

01

Intelligent Document Processing

Extracts and structures provider data instantly, flagging gaps at intake.

02

Primary Source Verification

Validates licenses, DEA, OIG, and sanctions in parallel via direct API access (7,600+ sources).

03

Affiliation & Privilege Validation

Confirms hospital affiliations and clinical privileges independently—without waiting for upstream checks.

04

Relationship Mapping & Contract Intelligence

Identifies financial relationships, conflicts of interest, and compliance gaps.

05

Decision Support & Risk Insights

Delivers a complete, data-backed credentialing report with risk insights and exception flags.

SUCCESS STORIES

Proven Results Across Payers & Providers

See how healthcare organizations are transforming credentialing performance with real-time data and AI-driven automation.

Improving Provider Data Accuracy & Onboarding at Scale

A mid-sized payer/provider unified fragmented data into a single source of truth—achieving 95%+ accuracy, reducing manual effort by 50%, and accelerating onboarding cycles.

95%+

Data
Accuracy

50%

Reduction in
Manual Effort

Faster

Onboarding

Reducing Credentialing Time by 66% While Eliminating Rework

A regional payer managing 125K+ providers reduced credentialing time by 2/3, cut administrative costs by 80%, and achieved zero audit findings through AI-driven automation.

66%

Faster
Credentialing

80%

Lower
admin Costs

Zero

Audit
Findings

Ready to Reduce Provider Onboarding Time from Months to Hours?

Turn fragmented data into faster activation with Agentic AI.

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