Medellis is a practitioner-led AI studio. We've shipped our own products in healthcare and financial services — and we bring that same build discipline to your agentic AI strategy, pilots, and production systems.
Every engagement ends in something running — a scored pilot, a deployed workflow, an evaluation harness. Never a slide deck alone. And if the honest answer is "don't build this," we'll tell you in week one.
A ranked map of agent opportunities across your workflows, with build / buy / wait verdicts, risk posture, and a 90-day roadmap.
One production-grade agent workflow: scoping, build, evaluation harness, guardrails, deployment, and team handoff.
Hardening pilots into production: integrations, monitoring, evals, governance, and internal enablement so it survives contact with reality.
An embedded head of AI: strategy, vendor selection, architecture review, hiring support, and board-level reporting.
Most AI consultants show you frameworks. We show you products — things we designed, built, and shipped ourselves, plus systems we've built alongside clients.
AI medical scribe generating evidence-linked clinical notes, HCC-aware billing codes, patient summaries, and prior-auth letters from patient encounters. Every statement traceable to its source. 20+ specialties, bilingual, HIPAA-compliant — on iOS and web.
scribe.medellis.comCase studyProfessional retirement planning for fee-only advisors and individuals: Social Security optimization, Roth conversions, Monte Carlo simulation, tax planning, and Plaid-linked accounts — with a streaming AI copilot for advisor meeting prep.
retirearc.comCase studyAI-powered equity analysis using reverse-DCF: extracts the growth rate implied by any stock price and compares it against fundamentals to flag over- and under-priced names. Screener, watchlists, alerts, and a premium Telegram bot included.
overpriced.aiCase studyAdvised and built as consultant: end-to-end hospital management platform — OPD/IPD, EMR, billing, pharmacy, lab, and radiology workflows — serving clinics and multispecialty hospitals.
healaxy.comCase studyAn AI operating system for clinical research: study startup, patient enrollment, consent, regulatory documentation, and trial management connected through a shared AI layer.
sapionhealth.aiCase studyAI medical-document analysis built for Healaxy's platform: clinicians upload records, labs, and imaging reports, then query them in natural language — every answer cited to its source, with team collaboration, audit trails, and HIPAA-grade privacy.
healaxyscribe.healaxy.comCase studyYou'll know exactly where you stand at every step — and the first two cost you nothing.
You describe the workflow that's hurting. We tell you honestly whether agentic AI fits — including "not yet." No deck, no pressure.
Within a week you get a written 2-page memo: our read on your problem, the approach we'd take, and the risks. Keep it either way — it's yours.
If it's a fit, you get a one-page SOW with a fixed price and timeline. No hourly meters, no scope surprises, no lock-in.
Senior time is the whole product, so we protect it. Thirty seconds here saves us both a call.
Agentic patterns repeat across industries — intake triage, document workflows, research-and-draft loops, ops copilots. We've proven them where the stakes are highest.
Clinical documentation, hospital operations, clinical research. HIPAA-grade habits — auditability, human-in-the-loop, risk controls — applied to every industry we touch.
Advisor tooling, valuation analysis, retirement planning. Fiduciary-grade rigor: numbers that must be right, models that must be explainable.
Customer service agents, back-office automation, pricing intelligence — where agentic AI compounds fastest for mid-market operators.
Gartner projects over 40% of agentic AI projects will be canceled by end of 2027 — sunk by unclear value, runaway costs, and missing risk controls. Our method is built against each failure mode.
We kill weak use cases in week one. A "do not build this" verdict is a valid deliverable — it saves you six figures.
Every build starts with an evaluation harness. If you can't measure it, you can't trust it in production.
Human-in-the-loop checkpoints, audit trails, and permission boundaries — regulated-industry habits, everywhere.
Your team runs the system when we leave. Documentation, training, and enablement are in every scope.
Medellis is a builder-led studio shaped by years of shipping software in healthcare and AI — an industry where software failure isn't an inconvenience, it's a liability. That discipline shows in everything above: the products in our portfolio are designed, built, and run end to end by the same senior hands that will work on your engagement.
The people you meet on the first call are the people who scope the work, write the code, and stand behind the result. No leverage pyramid. No handoff to juniors. No slideware. We'd rather be judged by what we've shipped than by bios — scroll up and click through the work.
What we're learning shipping agentic systems — published as practitioner notes, not thought leadership.
The five patterns that are shipping and paying for themselves in mid-2026 — document workflows, tiered service agents, triage, draft-and-approve loops — and the one unglamorous thing they all share.
Read the note →Gartner says 40% die by 2027. From the build side the failures are predictable: agent-washing, no baseline, autonomy maximalism, no evals, guardrails as an afterthought — each with its antidote.
Read the note →The golden set, task-level scoring, the regression gate, and how evaluation draws the autonomy boundary — the smallest harness worth building, and why it's a week-one deliverable, not a roadmap item.
Read the note →Tell us what's hurting — three fields, two minutes. You'll get a reply within one business day, a 30-minute fit call, and a free written point-of-view memo — whether or not we ever work together.
You'll hear from us within one business day — first a 30-minute fit call, then a free written point-of-view memo. It's yours to keep either way.