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Apollo

Healthcare provider

Taking the admin load off clinical and support teams.

5,500+hours saved a year
₹1Cr+value of time saved a year
~110hours back every week

In one minute

Who they are

A healthcare provider with busy coordination teams.

What was slow

Coordination staff spent their day on scheduling, writing up notes and passing on enquiries, rather than on patients.

What we did

We automated enquiry routing, note drafting and scheduling, with a person signing off anything clinical.

What changed

Admin time drops, while every clinical decision stays with a person, by design.

The problem, in plain words

Coordination staff spent their days on scheduling, writing up notes and routing enquiries instead of on patients. Anything clinical still had to stay with a person.

Before and after

Before: the long way

  1. Enquiry comes in
  2. Sorted and passed on by hand
  3. Notes written up by hand
  4. Appointments booked by phone
  5. Follow-ups chased

Staff time goes on admin, not patients.

After: with MCode

  1. Enquiry sorted and sent to the right person
  2. Notes drafted automatically, then signed off by a person
  3. Appointments and follow-ups handled

Every clinical decision stays with a person.

What we set up, piece by piece

Each part, what it does now, and the manual work it replaced.

01

Enquiry routing

Sorts each enquiry and sends it to the right person, with anything clinical passed to staff.

ReplacedSorting and passing on enquiries by hand.

02

Note drafting

Drafts notes and summaries for a person to check and sign off.

ReplacedWriting every note up by hand.

03

Scheduling and follow-ups

Books appointments and sends follow-ups, connected to their existing systems.

ReplacedScheduling and chasing by phone.

The numbers, explained

Here is what 5,500 hours a year looks like, broken down.

5,500+hours saved a year
~460hours saved a month
~110hours saved a week
~21hours saved every working day
~3full-time people's worth of work
₹1Cr+value of that time, a year

We add up the time the team used to spend on these tasks each year. Based on a 40-hour week, 52 weeks and 260 working days a year.

How we worked

  1. 01Mapped the work

    Sat with the team and listed every step of the jobs they repeat.

  2. 02Picked what to fix first

    Chose the steps that cost the most time and were safe to hand over.

  3. 03Set it up in their tools

    Built it inside the tools the team already uses. Nothing new to learn.

  4. 04Handed it over

    Showed the team how it works, then let it run every day.

Questions you might have

Did the team have to learn new software?

Very little. Wherever we can, we build inside the tools a team already uses, so there is almost nothing new to learn.

How do you count the hours saved?

We add up the time the team used to spend on these tasks each year, before they ran on their own. The value is what that time is worth to the business.

Does AI make clinical decisions?

No. Every clinical output is checked and signed off by a person, by design.

Could this work for my company?

If your team repeats the same steps every week, very likely. The free audit shows you exactly where, and what it is worth.

Want this for your team?

Get a free audit. We'll show you what can run on its own in your business, and what it's worth.

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