Industry solution
Healthcare
Remove administrative burden from care teams with role-defined AI employees — patient support, appointment ops, billing coordination — inside your infrastructure with explicit clinical boundaries.
Powered by OpenClaw + NVIDIA NemoClaw. Delivered by Agentex.
Best-fit buyer
COO, Head of Operations, CTO, clinic network operator, or hospital admin lead responsible for patient ops throughput and staff efficiency.
Where this fits
Best fit for hospitals, clinic networks, diagnostics, and digital health companies where patient communication, scheduling, and backoffice coordination create high daily admin load.
Where the workflow breaks today
- Front-desk and care-ops teams spend hours per day on appointment reminders, rescheduling, and patient follow-up that could be automated.
- No-shows remain high because reminder workflows are manual and inconsistent.
- Billing and insurance coordination is fragmented — pre-auth chasing happens over WhatsApp with no tracking.
- Any patient-facing AI deployment requires explicit clinical boundaries and data residency controls that most platforms cannot provide.
What we can deploy first
- AI Patient Support Employee — handles appointment queries, sends reminders, routes patient requests to the right team over WhatsApp. Admin only, never clinical.
- AI Appointment Ops Employee — books, confirms, reschedules, and sends reminders. Cuts no-shows and removes front-desk manual load across every channel.
- AI Billing Admin Employee — collects insurance documents, tracks pre-auth status, notifies billing team. Removes the coordination overhead from billing ops.
- AI Care Ops Employee — lab result routing, interdepartmental coordination, supply tracking — backoffice tasks with no clinical dimension handled autonomously.
AI Employee Catalogue
Roles we deploy for Healthcare
Each role is deployed end-to-end — integrated, policy-governed, and live in 2 weeks.
AI Employee
AI Patient Support Employee
Handles patient queries on WhatsApp or Telegram, collects symptoms and appointment preferences, schedules appointments, sends reminders, handles rescheduling, triages urgent cases, escalates to on-duty staff.
Integrates with
Handles 100–200 patient interactions per day without a full-time front desk agent
AI Employee
AI Medical Billing Employee
Reads completed consultations, supports ICD/CPT coding review, prepares insurance claim packets, checks for common claim errors, submits to payer portals, tracks claim status, flags rejections.
Integrates with
Reduces claim rejection rate; saves 15–20 hours/week of billing team manual work
AI Employee
AI Patient Records Employee
Coordinates records requests between departments, tracks record completeness, sends form-completion reminders to patients, routes completed records to appropriate workflows, flags missing entries.
Integrates with
Eliminates records-coordination delays; saves 1 full-time records admin role
Business outcome
Why the buyer cares
Agentex is not selling abstract AI experimentation. We are selling a faster, more controlled way to remove repetitive manual work from real enterprise operations.
- Reduce no-show rate with consistent, automated appointment reminders.
- Cut front-desk admin hours per day on routine patient communication.
- Accelerate billing ops by removing manual pre-auth chasing.
- Free care staff from backoffice coordination so they focus on patient care.
Why Agentex
Why this works better than another pilot
- We define clinical boundaries in writing before development begins — AI employees handle admin, clinicians handle clinical decisions. No ambiguity.
- Patient data stays inside your infrastructure — NemoClaw policy files enforce this at the runtime level, not just as a policy claim.
- We deploy into channels your patients and staff already use: WhatsApp, Telegram.
- We provide a compliance positioning document covering DPDP, clinical boundary design, and escalation rules.
Deployment discipline
How we keep rollout enterprise-safe
The first Sprint should land in a bounded workflow with a clear owner, clear escalation rules, and a deployment model that matches the organization’s operational constraints.
- Patient data runs on-prem inside your GCP, AWS, or bare-metal server. NemoClaw enforces data residency at runtime.
- Clinical decision-making is explicitly out of scope for all AI employees — boundaries are documented and enforced.
- Consent flows are built into every patient-facing AI employee interaction.
- DPDP data handling, consent, access control, and audit logging are designed in from day one.
Sprint deliverables
What the buyer gets after 2 weeks
The Sprint is designed to produce a real deployment outcome, not a slide deck with vague recommendations. The buyer should leave with a live workflow, a clearer operating model, and enough signal to decide on the managed retainer.