Healthcare

AI that solves healthcare's hardest operational problems

Hospitals, health systems, provider groups, and payers run on decisions made across clinical systems, revenue cycle platforms, ERP, workforce tools, and payer portals. Datafi connects it into a single operating system so every employee, from the CFO to the nursing floor to the compliance office, has superhuman ability to coordinate workflows, resolve issues, and take action.

See Workflows

Healthcare organizations aren't short on data. AI initiatives stall because clinical, financial, and operational data live in separate worlds. The people who need context can't assemble it fast enough.

EHR RCM ERP Workforce Payer Portal DATAFI HUB EHR RCM Workforce ERP Payer FRAGMENTED UNIFIED

Fragmented Healthcare Data

EHR, revenue cycle, ERP, workforce management, payer portals, and departmental reporting systems each hold a piece of the truth. Revenue cycle teams can't see clinical context alongside denial patterns. Operations leaders can't connect staffing data to patient throughput. Compliance officers can't assemble audit evidence without calling five departments.

Every Decision Requires Manual Assembly

Denials analysts assembling appeal packages, patient access teams coordinating referrals, and operations managers building capacity plans all spend hours gathering data across systems before they can even begin analysis. Central analytics teams become bottlenecks. By the time context is assembled, the appeal window has closed or the bed has gone unfilled.

AI Experiments That Can't Scale in Regulated Environments

Pilot projects summarize notes or extract fields, but never connect to the full business context. Internal builds require months of engineering. Copilot-style tools answer narrow questions but can't reason across clinical, financial, and operational data, and they can't operate within the governance and auditability that HIPAA and regulatory bodies require.

The Operating System

An operating system that turns AI from pilot to enterprise capability

A vertically integrated data and AI stack that provides trusted context, safe autonomy, and an interface that healthcare teams actually adopt.

1 unified

Data Experience

Clinical, financial, and operational data connected in a single governed interface

100% auditable

By Design

Role-based access, audit trails, and policy enforcement across every AI interaction with sensitive data

Every role

Enterprise Wide

Revenue cycle teams, nursing leaders, operations managers, compliance officers, and patient access staff

Hours→ minutes

Context Assembly

From manual data gathering across systems to instant, governed access grounded in complete business context

Agentic Workflows

AI agents that produce outcomes, not answers

End-to-end workflows that detect issues, assemble context, reason across systems, and deliver tangible business artifacts — governed, auditable, and ready for action.

Denial Management — End-to-End Agentic Workflow Fully automated from detection to appeal submission STEP 1 Claim Flagged STEP 2 AI Analyzes Denial STEP 3 Cross-Refs Policy STEP 4 Assembles Evidence STEP 5 Generates Appeal OUTPUT Appeal Package CONNECTED DATA SOURCES EHR Claims Payer Portal Clinical Docs Auth Records Enterprise Policies Applied HIPAA-Aligned • Full Audit Trail • Role-Based Access • Human-in-the-Loop RESULT: Complete appeal package ready for review in 8 minutes (was 3.5 hours of manual assembly)

Prior Auth Packet

Complete authorization package with clinical evidence and payer requirements

Referral Brief

Coordinated referral packet with eligibility, history, and scheduling

Capacity Report

Real-time capacity report card with staffing and demand forecasts

Compliance Narrative

Audit-ready compliance report with governed evidence and timestamps

Use Cases

Autonomous agents for high-impact healthcare functions

Each workflow delivers a tangible business artifact — an appeal package, a referral packet, a capacity report, a compliance narrative — governed, auditable, and ready for action.

Revenue Cycle & Denials Resolution

Turn every denial into a resolved outcome, not a backlog item

Denials cost health systems millions in lost revenue and consume thousands of staff hours in manual rework. Each denial requires pulling claim details, clinical documentation, payer policy, authorization records, and prior correspondence, often across five or more systems. Datafi replaces manual assembly with an agentic workflow that detects denials, analyzes root causes, cross-references payer policy, assembles supporting evidence, and generates a complete appeal package, governed by enterprise policies and ready for submission.

Automated denial detection, categorization, and root cause analysis

Cross-referencing payer contracts, clinical documentation, and authorization records

Evidence assembly from EHR, claims, and payer portal data

Appeal packages generated and ready for review and submission

Denials Resolution Pipeline Agentic workflow • Fully governed STEP 1 Denial Detected STEP 2 Root Cause Analysis STEP 3 Evidence Assembly OUTPUT Appeal Package Connected Data Sources Claims EHR Payer Policy Auth Records Enterprise Policies Applied HIPAA-aligned • Audit trail • Role-based access • Human-in-the-loop RESULT: Complete appeal package ready for submission in 8 minutes (was 3.5 hours)
Referral Coordination Hub Multi-system orchestration • Central AI agent AI Agent Referring MD Insurance Eligibility Scheduling Availability EHR Clinical History Patient Comms Notifications Referral Coordination Packet Eligibility verified • History attached • Appointment scheduled

Patient Access & Referral Coordination

Connect every referral to the right outcome, faster

Referral management spans multiple systems and teams: from the referring provider to scheduling, insurance verification, clinical history review, and patient communication. Delays at any step mean lost patients and revenue leakage. Datafi enables AI agents that orchestrate the full referral lifecycle: verifying insurance eligibility, pulling relevant clinical history, identifying scheduling availability, and producing a complete referral coordination packet. Patient access teams spend time on patients, not data gathering.

Multi-system referral intake with insurance eligibility verification

Clinical history assembly from EHR and prior encounters

Scheduling optimization with provider availability matching

Referral coordination packets assembled and ready for action

Clinical Operations & Capacity Planning

See the full operating picture before it shifts

Capacity planning requires real-time visibility into census data, staffing levels, discharge projections, surgical schedules, and transfer patterns: information that typically lives in separate systems and arrives too late. Datafi connects the full operational context and enables AI agents that continuously monitor capacity indicators, predict demand shifts, identify staffing mismatches, and produce actionable capacity report cards, not static dashboards that require interpretation.

Real-time census monitoring with discharge and admission forecasting

Staffing optimization based on acuity, census, and schedule data

Predictive demand modeling across units and service lines

AI-generated capacity report cards delivered to operations leaders

Capacity Report Card AI-generated • Real-time monitoring Census 342 Occupancy 91% Staffing Ratio 1:4.2 Avg LOS 4.1d 7-Day Census Trend vs. Capacity MAX AI Predicted surge: +18 admissions within 48h Recommend activating overflow protocol for Med/Surg Unit B and adjusting staffing Capacity Report Card Generated Unit-level breakdown • Staffing recommendations • Discharge projections
Compliance Evidence Assembly Automated gathering • Audit-ready output Evidence Sources Clinical Records Billing Records Incident Reports Policy Adherence Outcome Metrics AI Compliance Report Q4 2025 Audit Package Clinical Documentation Financial Compliance Operational Adherence Quality Metrics Summary Exception Findings AUDIT-READY RESULT: Complete audit package with 47 evidence items compiled in 2 hours (was 3 weeks)

Compliance & Quality Reporting

From evidence scattered across systems to audit-ready narratives

Compliance and quality reporting for hospitals and health systems requires assembling evidence from clinical, financial, and operational systems: chart documentation, billing records, incident reports, policy adherence logs, and outcome metrics. Meeting Joint Commission standards, CMS Conditions of Participation, and state health department requirements demands continuous evidence gathering that traditional manual approaches can't sustain. Datafi enables AI agents that continuously gather, validate, and compile evidence across systems, producing audit-ready compliance narratives and quality reports that are governed, timestamped, and traceable for HIPAA audits, accreditation reviews, and regulatory inquiries.

Automated evidence gathering across clinical, financial, and operational systems

Policy adherence monitoring with exception flagging

Quality metric compilation across service lines and departments

Audit-ready compliance narratives generated on demand

Enterprise-Wide Impact

Every role in healthcare, operating with superhuman ability

Datafi doesn't just answer questions. It gives every employee in the organization the ability to reason across the full business context, execute multi-step workflows, and produce real business outcomes. Here's what that means for each role.

CFO / Revenue Cycle Leader

Resolves denials 3x faster with complete appeal packages assembled automatically from clinical and financial data

Chief Nursing Officer

Optimizes staffing and capacity in real time with AI-generated reports across census, acuity, and scheduling data

VP of Operations

Monitors throughput, bottlenecks, and resource utilization across the enterprise with continuous AI intelligence

Compliance Officer

Produces audit-ready evidence packages in hours instead of weeks with governed, traceable data assembly

Patient Access Director

Converts referrals to scheduled visits faster with automated eligibility, history, and coordination workflows

Enterprise Benefits

Why healthcare organizations choose Datafi

Healthcare AI must be governed before it can be operationalized. Datafi provides a vertically integrated platform that connects the full data ecosystem, enforces enterprise policies, and delivers a user experience that clinical and operational teams actually adopt.

The result is AI that participates in real workflows, not isolated pilots that never scale beyond the innovation team.

HIPAA-Aligned Governance

Enterprise policies, role-based access, and audit trails enforced at the platform level across every AI interaction with sensitive data.

Cross-System Context

Clinical, financial, and operational data connected into a single operating context, eliminating manual assembly across disconnected systems.

Tangible Deliverables

AI produces appeal packages, referral packets, capacity reports, and compliance narratives, not chat responses that require interpretation.

Adoption by Design

A conversational interface designed for non-technical healthcare teams. No SQL, no dashboards, no IT tickets required.

The Platform

A complete stack purpose-built for healthcare

Every layer of the Datafi platform serves a role in turning AI from isolated experiments into enterprise-wide healthcare capability.

Build

Studio

Govern

Control Tower

Run

Orchestrate

Cyber

Sentinel

Outcomes

The operational impact healthcare leaders measure

Health systems that deploy Datafi stop treating AI as an experiment and start treating it as infrastructure. The results show up where it matters: net revenue protected, staff hours reclaimed, and audit cycles shortened.

Recover More Revenue, Faster

Denials that sat in queues for days get resolved in minutes. Appeal packages assemble automatically with the right clinical evidence, payer policy references, and prior correspondence, so your revenue cycle team focuses on exceptions, not data gathering. Every week of faster resolution is revenue back on your balance sheet.

Give Every Team Hours Back

Patient access coordinators, operations managers, and nursing leaders spend 30-50% of their time assembling context across systems before they can act. Datafi eliminates that manual assembly: referral packets, capacity reports, and staffing plans generate on demand, so clinical and operational teams spend their time on patients and decisions, not spreadsheets.

Stay Audit-Ready, Not Audit-Reactive

Joint Commission surveys, CMS audits, and state inspections shouldn't require a war room. Datafi continuously gathers and organizes compliance evidence across clinical, financial, and operational systems, so when regulators ask, your team produces governed, timestamped narratives in hours instead of scrambling for weeks.

Build AI into your healthcare operating model

A practical, scalable path to faster denials resolution, smarter capacity planning, stronger referral coordination, and proactive compliance, powered by an operating system for business AI.

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