Case studies

Real companies. Real hours back.

Not pilots that die in a slide deck. Across 30+ companies in banking, healthcare, manufacturing, education, travel and more, we take repeat work off teams so it runs on its own. Here is the work.

0
Hours saved a year
₹0
Value of time saved a year, India
£0
Value of time saved a year, UK
0
Companies we've worked with
Trusted by 30+ companies, including
AU Small Finance BankSkool.comIIT DelhiCurewell HospitalAgrawal FoodsUnited NationsEmergentTravel BureauYPOEOClapingoGrowth420 PapadRajratan Global WireApolloTodoist AU Small Finance BankSkool.comIIT DelhiCurewell HospitalAgrawal FoodsUnited NationsEmergentTravel BureauYPOEOClapingoGrowth420 PapadRajratan Global WireApolloTodoist
Selected work

What we did, company by company.

01 Featured AU Small Finance Bank Banking · Indian small finance bank
0
hours saved a year
₹2Cr+value of time saved a year
~190 hrshanded back every week

Marketing emails that build and send themselves.

Problem
Every marketing campaign needed a developer to hand-code the email before it could go out, so the marketing team waited in a queue. On top of that, regular dashboard reports built from VAHAN data were put together by hand every cycle.
What we built
  • Email builder. Turns each approved email design into a ready-to-send email.
  • Campaign set-up. Sets up each campaign in Adobe Campaign automatically.
  • Quality checks. Checks for broken data or layout before anything is sent.
  • Recurring reports. Builds the regular dashboard reports from VAHAN data on schedule.
Outcome
Campaigns go out without waiting on a developer, and reports arrive without anyone building them.
Adobe CampaignVAHAN dataInternal dashboards
Read the full case study
02 Featured Skool.com Technology · Online community platform
0
hours saved a year
$750K+value of time saved a year
~350 hrshanded back every week

18,000 hours a year of repeat work, now running on its own.

Problem
Skool's team spent a large part of every week on recurring business and operations work. Each task was done the same way every time, handed from person to person, and checked by hand.
What we built
  • Recurring processes. Runs the business processes the team used to repeat every week.
  • Operations tasks. Handles routine operations work from start to finish.
  • Hand-offs. Passes work from one step to the next automatically.
Outcome
That time now goes to work that actually needs people.
Read the full case study
03 Featured Curewell Hospital Healthcare · Hospital
0
hours saved a year
₹1.75Cr+value of time saved a year
~170 hrshanded back every week

Hospital paperwork that fills and files itself.

Problem
Hospital staff were spending hours every day on admin. The same details were written on forms, typed again into records, and passed around for sign-off.
What we built
  • Forms. Captures details once and fills in every form that needs them.
  • Records. Moves details from forms into records automatically.
  • Routine admin. Handles the repeat admin steps around daily hospital work.
Outcome
Staff spend far less time on forms and more time on patients.
Read the full case study
04 Featured IIT Delhi Education · Leading engineering institute
0
hours saved a year
₹1Cr+value of time saved a year
~100 hrshanded back every week

An online course platform that runs itself, plus hands-on AI training.

Problem
Running courses meant a lot of admin: signing learners up, tracking how each one was doing, and sending updates, all by hand. And while staff and students heard a lot about AI, few had built anything with it.
What we built
  • Online course platform. One place where learners sign up and take their courses.
  • Progress tracking. Tracks each learner's progress automatically.
  • Updates and reminders. Sends course updates and reminders on its own.
  • AI workshops. Hands-on sessions where participants built a working AI assistant.
Outcome
Course admin runs on its own, and staff and students now use AI in their own work.
Read the full case study
05 Featured Agrawal Foods Manufacturing · Listed food manufacturer
0
hours saved a year
₹2.5Cr+value of time saved a year
~230 hrshanded back every week

Work that moves between teams on its own.

Problem
At Agrawal Foods, daily work moved from team to team by hand. The same numbers were collected, sent on, typed in again and checked at each step. It took time and left room for mistakes.
What we built
  • Team hand-offs. Passes work from one team to the next automatically.
  • Enter once. Numbers are entered once and reused wherever they are needed.
  • Routine checks. Runs the routine checks between steps.
Outcome
Nobody types the same data twice, and teams get what they need without chasing.
Read the full case study
06 Featured Travel Bureau Travel · Travel company
0
hours saved a year
₹2Cr+value of time saved a year
~190 hrshanded back every week

One place for every customer, and enquiries that go straight to the right person.

Problem
New enquiries were typed in by hand, handed out manually, tracked in spreadsheets and followed up one by one. When the team was busy, enquiries waited, and some slipped through.
What we built
  • Customer system. One place that holds every customer and enquiry, built around how they sell.
  • Enquiry routing. Sends each new enquiry to the right salesperson straight away.
  • Record updates. Keeps customer records up to date on its own.
Outcome
Every customer is in one place, and new enquiries reach the right salesperson straight away.
Read the full case study
07 420 Papad Manufacturing · Snack manufacturer
100%
of complaints tracked
0new apps for staff to learn

Factory issues reported by WhatsApp voice note, and never lost.

Problem
Floor staff would not adopt a new app. So complaints were made by phone, checklists were on paper, and compliance records were hard to find. Nothing could be tracked, and issues got lost.
What we built
  • WhatsApp complaint line. Staff report issues on WhatsApp, by text or by voice note in Hindi.
  • Tracking. Every complaint gets an owner and a time stamp, and is escalated if needed.
  • Daily checklists. Checklists and compliance records are logged through WhatsApp.
  • Supervisor view. One view of everything that is still open.
Outcome
Every complaint has an owner and a time stamp, and supervisors can see everything in one place.
WhatsAppGoogle Sheets
Read the full case study
08 Rajratan Global Wire Manufacturing · Steel wire manufacturer
6+
savings opportunities found
1 dayfrom factory visit to plan

A factory walk-through that ended with a clear, ranked plan.

Problem
Leadership knew AI mattered, but had no clear view of where it would actually pay off inside a heavy manufacturing process.
What we did
  • Department questionnaire. Each department listed its slow, repeat work before the visit.
  • Factory walk-through. We went through the floor step by step with the team.
  • Ranked plan. Every opportunity scored by effort and payoff.
Outcome
A concrete plan instead of a vague AI strategy, with the first projects agreed on the day.
Read the full case study
09 Clapingo Education · Spoken-English coaching company
0
hours saved a year
₹1.2Cr+value of time saved a year
~120 hrshanded back every week

A team trained on AI, and daily repeat work that runs itself.

Problem
Clapingo runs on conversations, with busy support and tutor-operations teams. The same tasks came up every day and were done by hand, and only a few people were using AI.
What we built
  • Five-weekend AI series. Structured AI training across the company's teams.
  • Support and tutor tasks. Routine support and tutor-operations work runs automatically.
  • Follow-up messages. Drafts follow-ups for the sales and customer success teams.
Outcome
AI went from a few curious people to how the whole team works.
Read the full case study
10 Emergent Technology · App-building company
0
hours saved a year
₹1.5Cr+value of time saved a year
~150 hrshanded back every week

Tools that pass work to each other, so nobody copies data by hand.

Problem
Work at Emergent was copied from tool to tool, updated by hand and then checked for mistakes. It was slow, repetitive and easy to get wrong.
What we built
  • Connected tools. Data moves between their tools on its own.
  • Automatic updates. Routine updates happen without anyone doing them.
  • Repeat processes. Repeat business processes run automatically, with AI handling the routine parts.
Outcome
Data moves between tools on its own, with far fewer mistakes.
Read the full case study
11 Apollo Healthcare · Healthcare provider
0
hours saved a year
₹1Cr+value of time saved a year
~110 hrshanded back every week

Taking the admin load off clinical and support teams.

Problem
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.
What we built
  • Enquiry routing. Sorts each enquiry and sends it to the right person, with anything clinical passed to staff.
  • Note drafting. Drafts notes and summaries for a person to check and sign off.
  • Scheduling and follow-ups. Books appointments and sends follow-ups, connected to their existing systems.
Outcome
Admin time drops, while every clinical decision stays with a person, by design.
Read the full case study
12 Todoist Technology · Productivity app
0
hours saved a year
₹75L+value of time saved a year
~90 hrshanded back every week

Enquiries and marketing that run on their own.

Problem
Enquiries and recurring marketing tasks were handled by hand, one at a time. In busy weeks, replies slowed down.
What we built
  • Enquiry sorting. New enquiries are sorted and sent to the right place.
  • First replies. Each enquiry gets a quick first reply.
  • Scheduled marketing. Recurring marketing tasks run on their own.
Outcome
Enquiries get answered quickly, and routine marketing runs in the background.
Read the full case study
13 Growth Marketing · Marketing and enquiry automation
0
hours saved a year
₹1.5Cr+value of time saved a year
~150 hrshanded back every week

Every lead captured, answered and followed up, automatically.

Problem
New leads were copied in by hand, and how fast they got a reply depended on who was free. Follow-ups slipped, and routine marketing tasks took up time every week.
What we built
  • Lead capture. Every new lead is captured and logged automatically.
  • First replies. Each lead gets a quick first reply.
  • Follow-ups. Follow-ups go out on schedule until the lead responds.
  • Recurring marketing. Routine marketing tasks run on a schedule.
Outcome
Every lead gets a reply and a follow-up, and the team spends its time on conversations that need a person.
Read the full case study
14 7 UK home-service companies UK home services · Roofing, heating and cooling firms
0
hours saved a year
£1.2M+value of time saved a year
~690 hrshanded back every week

From first enquiry to booked job, without the admin.

Problem
In roofing, heating and cooling, the team is out on jobs most of the day. Meanwhile every enquiry still needs answering, checking, quoting and chasing. Slow replies risk losing the job.
What we built
  • Fast replies. Every new enquiry gets a quick reply.
  • Fit check. Each enquiry is checked to see if the job is a good fit, then logged.
  • Quotes and follow-ups. Quotes, reminders and follow-ups go out on time.
  • Bookings. Jobs get booked in without the back-and-forth.
Outcome
Enquiries are answered fast, and the team spends its time on jobs, not admin.
Read the full case study
15 YPO Training · Business owners' network
100+
people trained
25+time-saving ideas found
500+hours a year they can save

Showing business owners where their companies lose time.

Problem
Members ran substantial businesses, but were using AI as a novelty rather than a working tool. They needed to see where it would actually move their companies.
What we covered
  • Where AI and automation actually move the business
  • Everyday uses members could try on their phones the same day
  • Spotting repeat work inside their own companies
  • A dedicated hands-on track for the spouses group
Outcome
Members left with ideas they could use the same day, and several went on to work with MCode.
Read the full case study
16 EO Training · Founders' network
100+
founders trained
20+time-saving ideas found
400+hours a year they can save

Practical AI for founders and operators, on their own real problems.

Problem
Founders knew AI mattered, but did not know where to start inside their own companies.
What we covered
  • Practical AI uses for founders and operators
  • Finding repeat work inside their companies
  • Which jobs to automate first
Outcome
Each founder left with clear opportunities to save time in their own business.
Read the full case study
17 United Nations Training · Global organisation
100+
people trained
20+real examples shown
50+hours of repeat work spotted

Everyday AI for professionals, taught through real examples.

Problem
Teams wanted to use AI well in their daily work, but needed practical, everyday examples rather than theory.
What we covered
  • Using AI for research
  • Writing and content
  • Planning and productivity
  • Where repeat work could be automated
Outcome
Participants saw where AI can save time in their own day-to-day work.
Read the full case study
0
Companies we've worked with
0
Hours saved a year
₹0
Value a year, India
£0
Value a year, UK
0
People in the AI community we run
Workshops & training

We build the agents. We also teach your team to use them.

Roughly half our work is hands-on upskilling. Sessions are practical from the first minute, and people leave having built something, not having watched a demo.

For teams

Practical AI upskilling

Sessions built around your actual workflows, run for a department or the whole company. People leave having built something, not having watched a demo.

Half day to multi-week programmes
For leadership

AI strategy that moves the P&L

Where AI actually changes the business, what to sequence first, and how to avoid spending a year on pilots that go nowhere.

Boards, leadership teams, founder groups
Delivered for IIT Delhi, YPO, EO, the United Nations, Clapingo and more · in-person and remote
Free AI audit

Tell us what's eating your team's time.

Send us the workflow you wish would run itself, or ask about a workshop for your team. We'll tell you what's possible, and how fast.

Get your free audit → See how we work