Administrative, not clinical
These workflows support operations. They do not diagnose, recommend treatment or prioritise patients clinically; those decisions stay with qualified professionals.
HEALTHCARE
AI agents for healthcare operations,
never in place of care.
Much of a care team's day goes to coordination: scheduling, referrals, paperwork and claims. Agents can carry that administrative load, while clinical judgement stays entirely with clinicians.
Workflows worth
handing to agents.
Each workflow names the agents involved, the point where a person decides, and what a pilot would measure.
Appointment coordination
Today. Staff juggle clinician availability, rooms, patient preferences and cancellations across phone, email and the scheduling system.
- A scheduling agent proposes slots that fit clinician, room and patient constraints.
- A follow-up agent handles reminders and offers freed slots to patients on the waitlist.
Human checkpoint. Staff confirm schedule changes; anything clinical, such as urgency or a change in condition, goes straight to a person.
A pilot would measure: Unfilled slots after cancellations · Staff time spent on scheduling · Patient no-show rate
Referral and intake processing
Today. Referrals arrive as faxes, PDFs and emails; staff read them, re-key data and chase missing information.
- An intake agent extracts referral details and checks them against the service's criteria.
- A completeness agent requests missing documents and prepares the case for triage.
Human checkpoint. Clinicians triage every referral; the agent only organises information and never assesses clinical priority.
A pilot would measure: Time from referral to triage · Referrals returned for missing information · Data-entry errors in sampled cases
Claims and billing follow-up
Today. Billing teams work denied and pending claims one by one, gathering notes and resubmitting.
- A denial agent groups denials by reason and drafts the evidence needed for resubmission.
Human checkpoint. Billing staff approve every resubmission and coding change.
A pilot would measure: Days in accounts receivable · Denials resolved on first resubmission · Staff hours on follow-up
Designed for how
this industry works.
Patient data protection
Health-data requirements in your jurisdiction, such as HIPAA in the US or the DPDP Act in India, are mapped in discovery, and data access is limited to what each step needs.
Fits existing systems
Workflows connect to your scheduling, record and billing systems through approved interfaces, scoped with your IT and privacy teams.
Common
questions.
Do the agents give medical advice?
No. The workflows are administrative. Anything that needs clinical judgement is routed to a qualified person.
Where is patient data processed?
Agreed in discovery: typically in your own cloud environment, with model providers and data flows reviewed by your privacy team before any patient data is used.
Can we pilot without real patient data?
Yes. A pilot can begin with synthetic or de-identified records and move to live data only after your privacy and security review.
Other industries: Banking & financial services · Insurance · Retail & e-commerce · Logistics, supply chain & procurement · Any other field
A GOOD PLACE TO START
Bring the ambition.
We’ll build the way forward.
Let’s talk about your project
A conversation about your goals, constraints, and next step.