Intelligent agents and end-to-end workflows that route leads, book meetings, answer customers, and close the loop in your CRM while your team sleeps. Built around your existing tools, not instead of them.
A multi-clinic network was drowning in intake paperwork. We built an AI triage pipeline that reads referrals, verifies insurance, syncs the EHR, and books the right specialist automatically.
Industry
Healthcare · multi-clinic
Service used
AI Automation
Challenge
Intake ran on fax, phone calls and manual data entry
Timeline
6 weeks
Technology stack
OpenAIn8nNode.jsPostgres
What we shipped
001.Referral-reading AI intake agent
002.Insurance verification flow
003.EHR sync and specialist booking
SynthCoder rebuilt our patient intake around AI agents. What took our front desk four hours a day now runs itself.
PSPriya SharmaCOO · Nivara Health
82%Faster patient intake
40Staff-hours saved weekly
0Intake errors in 30 days
(SC® — 04)Details
Before you ask
The three questions every ai automation client asks first.
How the engagement runs
001.Discovery call: goals, workflows, and a fixed quote
002.Agile sprints with weekly demos and a staging link
003.Zero-downtime launch, then monitoring and care
Anything with an API: your CRM, helpdesk, email, WhatsApp, accounting, and 500+ apps through n8n, Make and Zapier. No rip-and-replace required.
Confidence thresholds, human review queues and full audit logs. When the agent is unsure, it asks a person instead of guessing.
Most clients have their first workflow live within two weeks of the discovery call, and a measurable hours-saved number within the first month.
(SC® — 12)Next step
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OpenAI
n8n
Node.js
Postgres
