The front desk, minus the hold music.

• 01

  Scheduling and rescheduling

  Books against real availability rules — provider, room, modality, prep time — and confirms in the channel the patient started in, including voice.

• 02

  Pre-visit document chase

  Knows which form or authorisation is missing, asks for exactly that, accepts the upload, and marks the encounter ready without a staff touch.

• 03

  No-show recovery

  Reaches missed appointments with a real slot to accept rather than a generic 'call us back', and reports which cohorts respond.

• 01

  PHI does not go in a prompt by default

  We de-identify at the boundary and re-associate after, so the model sees the clinical question without the identity attached. Where full context is unavoidable, it runs under a BAA or inside your own infrastructure.

• 02

  The system drafts; a clinician decides

  Nothing reaches a patient without review on any pathway that touches clinical content. That gate is a hard architectural boundary, not a configuration toggle someone can turn off later.

• 03

  Refusal beats a plausible answer

  Out-of-scope questions get an explicit hand-off to a human with a callback, not a hedged paragraph. We test the refusal path as carefully as the answer path.

1. 1

   Use-case scoping

   Pick the workflow with the strongest ROI. Define success metrics, guardrails, and integration points.

2. 2

   Tools & memory

   Connect the agent to your real systems — CRM, helpdesk, data warehouse, internal APIs — with auth and audit trails.

3. 3

   Eval suite

   Build a versioned eval set from real conversations so we can prove the agent improves before each release.

4. 4

   Pilot with humans

   Shadow mode → suggested replies → autonomous on low-risk tasks. Humans stay in the loop where it matters.

5. 5

   Production scale

   Monitoring, fallbacks, cost guards, and observability. Weekly improvement cycles based on production data.

• Epic & FHIR APIs
• Athenahealth
• HL7 v2 feeds
• Twilio & WhatsApp Business
• Zendesk
• Snowflake
• S3 with encryption at rest
• Practice-management and RCM systems

FAQ

AI agents for healthcare operations: your questions.

• What if a patient describes symptoms to the booking agent?

  It stops, says it can't advise, and routes to a human path with the transcript attached — and where the language matches your emergency criteria, it says so explicitly. That branch is the first thing we build and the most heavily tested.

• Does it work on a phone call, not just chat?

  Yes. Sub-second voice with barge-in, using the same tools and the same escalation rules as the messaging agent, so the two can't drift apart in behaviour.

• How is this different from a chatbot?

  Chatbots reply. Agents act. Our agents call APIs, update records, send emails, schedule meetings — with audit logs and rollback. They take actions in your systems, not just respond in a chat window.

• Which LLMs do you use?

  We pick the right model for the task — Claude Sonnet/Opus for reasoning, GPT-4o for tool use, Llama / open-weights when data residency demands it. We're not locked into any vendor and we'll tell you what's cheapest at your volume.

• RAG for healthcare and clinical documentsRetrieval over clinical guidelines, payer policy and internal SOPs — with the citation, the version, and an explicit refusal when the library doesn't cover the question.Read
• Healthcare AI governance and readinessUse-case triage against clinical risk, a data-handling design that survives a HIPAA or DPDP review, and an oversight model your clinical governance body will actually accept.Read
• 30-day AI sprint for healthcarePick the administrative workflow that hurts most. In 30 days you get working software, an eval score, and an honest recommendation — including the recommendation not to proceed.Read

• AI agents for fintechAgents wired into your ledger, KYC provider and helpdesk — resolving the repetitive half of the queue end to end, and escalating the rest with the context already gathered.Read
• AI customer service agents for e-commerceSupport agents connected to orders, carriers and your returns rules — resolving tracking, exchanges and address changes end to end on Gorgias, Zendesk or Intercom.Read
• In-product AI agents for SaaSAgents that execute inside your product — configuring, importing, drafting and fixing — with the same permissions as the user who asked.Read