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TalentXM

Industries · Healthcare

AI and integration work that respects clinicians' time.

We work on the administrative load around care: eligibility, scheduling, refills and the integrations between EHRs and payers. Every workflow keeps a clinician or staff member in charge of the decision.

Use-case map

Healthcare workflows we work on.

Where we have built and tested work in healthcare, with the systems involved and the control that keeps a person in charge.

  • Insurance eligibility before the visit

    Validated POC
    Systems
    Payer eligibility API, X12 270/271, Copilot Studio
    Control
    Staff resolve every coverage exception
    Delivery
    Capability pod
    Measures
    Visits checked before arrival; eligibility denials
  • Routine appointment scheduling

    Validated POC
    Systems
    EHR scheduling API (sandbox)
    Control
    Clinical or urgent requests routed to staff
    Delivery
    Capability pod
    Measures
    Requests handled without rework; time to booking
  • Prescription refill preparation

    Validated POC
    Systems
    Medication history, refill protocols
    Control
    Clinician makes every refill decision
    Delivery
    Project delivery
    Measures
    Time to clinician decision; summaries accepted
  • EHR and payer integration

    Available
    Systems
    Workato, n8n, HL7 / FHIR interfaces
    Control
    Monitored integrations with named owners
    Delivery
    Managed service
    Measures
    Failed messages; time to recovery

Featured agents

Filter the catalogue
Validated POC

AI Agent

Eligibility Verification

Problem
Staff log in to payer portals one patient at a time.
How it works
Checks insurance eligibility and benefits for upcoming appointments and flags gaps to front-desk staff before the patient arrives.
Industry fit
Healthcare · Revenue cycle
  • Microsoft Copilot Studio
  • Optum eligibility API
  • X12 270/271
View agent
Validated POC

AI Agent

ScheduleXM

Problem
Requests arrive by phone, portal and email.
How it works
An appointment scheduling agent that understands a booking request, finds suitable slots and prepares the booking for confirmation.
Industry fit
Healthcare · Patient access
  • athenahealth
  • Large language model
View agent
Validated POC

AI Agent

RefillXM

Problem
Refill requests arrive in several queues.
How it works
Reads incoming prescription refill requests, gathers the information a clinician needs and queues each request for review.
Industry fit
Healthcare · Clinical operations
  • Large language model
View agent

Standards and practices

  • HIPAA-aware data handling
  • X12 270/271
  • HL7 FHIR
  • Sandbox-first build

What we do not claim

  • We do not provide clinical advice or make clinical decisions.
  • Agents shown here have been validated as proofs of concept, not deployed across a health system.
  • We do not name client organisations without written permission.

Pod composition

A typical healthcare pod.

A senior lead who knows the industry, plus a small execution team sized to the workflow.

Lead layer

Healthcare operations lead

Owns the brief, the quality bar and the fortnightly readout.

  • Execution layer

    Integration engineer

  • Execution layer

    AI engineer

  • Execution layer

    EHR analyst

  • Execution layer

    QA and evaluation

Roles vary by engagement. A pod is sized to the workflow, not to a headcount target.

FAQ

Healthcare: common questions.

Do you work with protected health information?

Only where a pilot requires it and the right agreements are in place. We build and test in sandbox environments first.

Which EHRs have you worked with?

Our scheduling proof of concept used an athenahealth sandbox. We assess other EHRs and their API access during scoping.

How do we start?

With one workflow. We review its current cost, the systems involved and where people need to stay in control.

Discuss Your AI Priority

Talk to us about healthcare.

Tell us about the workflow and the systems involved. A named person will reply.

The workflow, the systems involved and what a good outcome looks like.