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    Kriv AI

    For healthcare operations leaders

    AI for healthcare operations that runs the work, not just the demo.

    Deploy AI healthcare operations solutions, including revenue cycle AI automation and patient-flow optimization, built for real-world hospital operations.

    • Streamline intake and routing with healthcare automation AI agentic workflows.
    • Optimize AI workflows healthcare to cut manual data entry and status chasing.
    • Implement AI in medical administrative tasks while respecting PHI and clinical governance.
    • Designed for regional providers and mid-sized systems aiming for operational excellence.

    For regional providers & mid-sized health systems

    The flow we govern
    Governed
    1. Intake & Registration

      → validated, routed

    2. Scheduling & Referrals

      → coordinated across systems

    3. Documentation & Billing

      → drafted, staff-reviewed

    4. AI Agent, governed

      → scoped, logged actions

    5. Compliance & Audit Layer

      → every step traceable

    Patient FlowRevenue CycleGoverned Automation

    The reality

    Operations are under pressure from every direction.

    We understand the operational challenges facing healthcare providers today.

    The reality of healthcare operations

    Increasing demand vs. limited staff. Teams are stretched thin while patient expectations continue to rise.

    Complex scheduling, prior auth, and referral processes that span multiple systems and handoffs.

    Fragmented systems: EHR, CRM, ticketing tools, spreadsheets, each with their own workflows and data silos.

    The constant risk of staff burnout and patient dissatisfaction from friction, delays, and repetitive tasks.

    Sound familiar?

    01

    Staff spend hours chasing status updates across systems.

    02

    Queues build up in call centers, front desk, and back office.

    03

    Scheduling and referrals feel fragile and manual.

    04

    We want automation, but compliance and IT are rightly cautious.

    05

    We've tried 'generic automation' tools that don't understand healthcare.

    Kriv AI focuses on governed AI and automation patterns tailored to healthcare operations, not generic bots dropped on top of a clinical workflow.

    Who we help

    Who we help in healthcare operations.

    From operations leadership to revenue cycle and IT teams.

    01

    Operations & Access Leaders

    • COO, VP of Operations, Directors of Patient Access / Flow.
    • Accountable for throughput, experience, and efficiency.
    • Need automation that reduces friction without losing control.
    02

    Revenue Cycle & Back Office

    • Revenue cycle leadership, billing managers, denials / follow-up teams.
    • Juggle multiple systems, codes, and status workflows.
    • Need repeatable, governed automations to reduce manual rework.
    03

    IT & Digital Supporting Operations

    • CIO/CTO, digital health leads, operations-focused IT architects.
    • Own integration with EHR, CRM, telephony, and data platforms.
    • Need AI/automation patterns that are secure, observable, and maintainable.

    Most engagements involve both operations and IT at the table from the start.

    How we help

    How Kriv AI supports healthcare operations.

    Solutions tailored to the unique needs of healthcare operations.

    AI Readiness & Governance Assessment

    Assess your current workflows, data flows, and automation maturity across patient access, flow, and revenue cycle.

    AI Readiness & Governance

    Agentic AI & Automation

    Design agentic workflows for intake, referrals, authorizations, status updates, and routing, integrated with your existing systems.

    Agentic AI & Automation

    LLM Fine-Tuning & Custom Models

    Power operational copilots for staff: summarizing cases, generating responses, and supporting decisions based on your SOPs and policies.

    LLM Fine-Tuning & Custom Models

    MLOps & Governance-as-a-Service

    Keep operational automations and AI services monitored, governed, and reliable, with clear ownership and incident response.

    MLOps & Governance-as-a-Service

    AI Governance & Compliance-as-a-Service

    Align operational AI and automation with privacy, compliance, and risk expectations; define clear rules for what automations can do.

    AI Governance & Compliance-as-a-Service

    Use cases

    Example AI & automation use cases in operations.

    Pick an operational domain, see the pattern, what it does, and where staff stay in control.

    Access

    Intake & Registration Assistance

    Automate data capture, validation, and routing from digital forms and documents, with staff review where needed.

    • Capture and validate data from forms and documents
    • Route to the right team automatically
    • Staff review on the cases that need a human

    Your stack

    Built around your EHR, CRM, and operations stack.

    We work with your existing systems.

    Integration philosophy

    We integrate with your existing systems, EHR, CRM, ticketing, telephony, and data platforms, using APIs, events, and secure patterns.

    Our preference is to work inside your environment: your cloud, your VPC, your identity provider, your monitoring.

    No rip-and-replace. We orchestrate and automate around the systems your teams already rely on.

    What this means in practice

    • Patterns for EHR, CRM, ticketing, and telephony integration.
    • Use of APIs, HL7/FHIR-like interfaces where available.
    • Webhook and event-driven automations with tools like Zapier, n8n, Power Automate, Copilot.
    • Monitoring and observability across workflows, not just single scripts.

    Privacy & governance

    Respecting PHI and privacy in operational workflows.

    Operational data often involves PHI, governance is not optional.

    Privacy-aware operations

    Operational scenarios often involve PHI, financial data, and sensitive notes. Every workflow must be designed with this in mind.

    Governance is not optional: logs, permissions, and data minimization are built into every automation.

    AI and automations must be designed to avoid oversharing and uncontrolled access, even when they're helping busy staff move faster.

    What this means in practice

    • Data minimization and role-based access for operational automations.
    • Logs and audit trails aligned with your compliance expectations.
    • Clear boundaries for what AI agents can and cannot do in operational contexts.
    • Approaches for de-identification or redaction where appropriate.

    How it runs

    How a typical operations-focused engagement runs.

    A structured approach that respects the complexity of healthcare operations.

    Workflow Discovery & Prioritization

    • Map out key workflows across intake, scheduling, referrals, revenue cycle, or support.
    • Score use cases based on impact, feasibility, and risk.

    Co-Design & Pilot

    • Co-design AI and automation behavior with operations, IT, and compliance.
    • Implement a focused pilot with clear success metrics and guardrails.

    Hardening & Rollout

    • Harden workflows: monitoring, fallbacks, training, and documentation.
    • Expand to more locations, departments, or queues as results prove out.

    Ongoing Operations & Improvement

    • Monitor operational KPIs and AI performance.
    • Iterate based on real-world use and staff feedback.

    What you get

    What operations leaders aim to achieve.

    Tangible outcomes that matter to healthcare operations.

    100%

    of operational AI actions logged and traceable in an audit layer

    24/7

    monitoring of queues, wait times, and backlog with proactive nudges

    0

    rip-and-replace, we orchestrate around the systems you already run

    The governance bar we design every operations engagement to clear.

    • Reduced manual work, less time on repetitive, copy-paste, and status-chasing tasks for staff.
    • Better patient & staff experience, shorter waits, fewer lost referrals, more predictable workflows.
    • More reliable operations, workflows that are observable, monitored, and documented.
    • AI & automation your compliance team can live with, governed patterns that can be explained to compliance, risk, and leadership.

    Straight answers

    Healthcare operations questions

    Are you replacing our front-desk and contact-center staff with chatbots?

    No. We build AI copilots that suggest next actions, summarize details, and surface information quickly for your staff, humans stay in control. The goal is to remove repetitive, status-chasing work, not the people doing the judgment.

    How do you handle PHI and privacy in operational workflows?

    Operational data often involves PHI, financial data, and sensitive notes, so governance is built in from the start: data minimization, role-based access, audit trails, and clear boundaries for what an AI agent can and cannot do. We use de-identification or redaction where appropriate.

    Do we have to rip and replace our EHR, CRM, or telephony systems?

    No. We work with your existing stack. We orchestrate and automate around your EHR, CRM, ticketing, telephony, and data platforms using APIs, events, and HL7/FHIR-like interfaces where available, preferably inside your own cloud, VPC, and identity provider.

    We've tried generic automation tools that didn't understand healthcare. How is this different?

    Generic automation breaks on healthcare's handoffs, payer rules, and compliance constraints. We design governed AI and automation patterns tailored to healthcare operations, intake, scheduling, referrals, denials, and revenue cycle, with monitoring and observability across whole workflows.

    What does a typical operations-focused engagement look like?

    Four phases: workflow discovery and prioritization; co-design and a focused pilot with clear metrics and guardrails; hardening and rollout with monitoring, fallbacks, training, and documentation; then ongoing operations and improvement based on real-world use and staff feedback.

    Which operational areas can you actually automate?

    Common starting points are intake and registration, scheduling and referral coordination, contact-center and front-desk support, denials and revenue cycle workflows, operational reporting and alerting, and incident or complaint intake, each with staff review and audit trails where it matters.

    Will our compliance and IT teams be comfortable with this?

    That's the point. We design governed patterns that can be explained to compliance, risk, and leadership, with logs, permissions, and clear ownership. Most engagements involve both operations and IT at the table from the start.

    Where should we start if we're not sure AI fits our operations yet?

    Begin with an AI Readiness & Governance Assessment. We map your workflows, data flows, and automation maturity across patient access, flow, and revenue cycle, then score use cases by impact, feasibility, and risk before any build.

    Start here

    Want operations that run smoother without cutting corners?

    We help healthcare operations teams use AI and automation to reduce friction, within governed, compliant boundaries. Bring a workflow that's stuck, intake, scheduling, referrals, denials, and we'll map a path your operations, IT, and compliance teams can all stand behind.

    Or write to us first

    +1-732-433-5564 · info@kriv.ai · East Brunswick, NJ

    “A massive time saver.”
    , Senior Engineer, multi-billion-dollar distribution enterprise (2,000+ associates)

    Flagship engagement, 2025, 2,000+ associates · 122 locations. From kickoff to independently productive engineers in 3 weeks.