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A NEW CHAPTER

Magical is now backed by Shiva.

Shiva, founded by Lucas Marques, former COO of Méliuz, invests in companies built with artificial intelligence. We share a vision: turning the potential of AI into real results for every client.

Shiva

Venture capital
Founded by Lucas Marques

BEHIND SHIVA

MonasheesEndeavor Catalyst

Leading funds that invest in Shiva.

Read in Brazil Journal

AI applied to healthcare

Automate administrative routines while preserving review and safety.

Expand service capacity and reduce administrative rework. Magical prioritizes scheduling, documents and assisted support, with defined consent, human review and professional responsibility.

Magical Applied AI consulting for Healthcare Brazil

Healthcare reception and administrative workspace

Evidence

At BCare, conversational support runs continuously using a methodology and the user's context.

View the case study

Operational workflow

09 / Healthcare

  1. Intake
  2. SchedulingScheduling consumes service capacity
  3. Customer service
  4. RecordsDocuments arrive incomplete
  5. Billing
  6. ContinuityContinuity loses context

Where operations lose margin

Scheduling consumes service capacity

Confirmations, rescheduling and instructions repeat work without adding care.

Signal: Overloaded call centers and losses from missed appointments.

Documents arrive incomplete

Records, billing and audits are sent back for correction.

Signal: Manual checks and scattered information.

Continuity loses context

Patients or caregivers repeat their history at every contact.

Signal: Channels without memory and inconsistent guidance.

Where we start

Related experience

Projeto em destaque · Healthcare

BCare

Conversational support on WhatsApp, available 24 hours a day for family caregivers.

24 hours a day

of conversational support availability

View the case study for BCare

How we turn an opportunity into results

  1. 01

    Understand the operation

    We interview decision-makers and operators to map processes, data, exceptions and costs before suggesting tools.

  2. 02

    Choose where to start

    We prioritize an opportunity by expected return, feasibility and risk. We agree on responsibilities and how to measure results before starting.

  3. 03

    Put it to work

    We implement, monitor real usage and measure process changes before expanding the portfolio.

Governance from the first workflow

Frequently asked questions

Does Magical create clinical diagnoses with AI?

Our focus here is administrative operations and assisted support. Clinical diagnosis requires specific methods, professional validation and governance and is outside these applications.

How is the LGPD addressed in the project?

Purpose, access, retention, vendors and review workflows are defined before personal or sensitive data is used.

Can we start with administration?

Yes. Scheduling, documents, billing and recurring service often offer more manageable risk and clearer initial measurements.