Example Engagements

These are illustrative scenarios built from common operating problems, not completed client work. The numbers are examples of what's typically possible. During an audit, we'd replace them with your actual volumes, costs, and cycle times.

Sales & Growth

Quotes That Took Three Days

Sales, engineering, and finance each hold a piece of a quotation, so it reaches the customer two or three days after the visit.

How we'd approach it: We'd trace a sample of real quotations to see where the hours actually go, then connect only the tools needed to close that gap.

Example result: Standard quotes moving under four hours. Faster, more consistent follow-up also tends to lift conversion.

1,200 Orders a Month, Entered by Hand

Dealers order by call, photo, and WhatsApp, and someone in the office retypes every one into the ERP.

How we'd approach it: We'd keep the channel dealers already use, but turn each message into a structured, checked record automatically.

Example result: Cutting office handling time from twelve minutes to four per order can give a team this size back roughly 160 hours a month.

A Service Team Busy but Losing Capacity

A quarter of field visits need a costly repeat trip, because of missing history, the wrong part, or an incomplete request.

How we'd approach it: We'd trace requests from first call to invoice and fix the information gap that's causing the repeat visits.

Example result: Cutting repeat visits from 25% to 15% frees up the equivalent of 100 extra jobs a month, with no new hires.

Operations & Production

Sales Couldn't Tell Customers When Orders Would Ship

The ERP has the data, but sales, planning, and dispatch each keep their own separate version of the truth.

How we'd approach it: We'd map the handful of events that actually change a delivery promise, then surface exceptions each morning instead of another dashboard.

Example result: Moving on-time delivery from 78% to 88% usually also frees up real working capital tied up in excess work-in-progress.

A Complaint That Took Three Days to Trace

Tracing one quality complaint back to its batch and supplier means calling four different departments in turn.

How we'd approach it: We'd connect the identifiers already in use across the floor, then digitize the checkpoints still tracked on paper.

Example result: Cutting trace time from days to under four hours, with fewer repeat causes over time.

120 Hours of Downtime Everyone Had Learned to Live With

Maintenance knowledge lives in a register, a WhatsApp group, and two technicians' memory.

How we'd approach it: We'd make the existing loss visible first, department by department, before suggesting a single sensor or predictive model.

Example result: Recovering even 20% of lost hours across 40 critical machines is often worth serious monthly production capacity.

Finance & Control

An Approval Policy the Company Didn't Actually Have

600 purchase requests move through paper, email, and WhatsApp each month, and urgent ones routinely skip the process.

How we'd approach it: We'd sample real requests to see where time and control actually go, then give approvers what they need to decide in one place.

Example result: Cutting average approval time from 3.8 days to 1.2, with a real paper trail behind every exception.

Cash Sitting Inside an Ageing Report

The ageing report shows what's overdue. It doesn't show what will actually get the money released.

How we'd approach it: We'd sort overdue invoices by their real cause, and give each one an owner and a next action.

Example result: On ₹100 crore of revenue, cutting debtor days from 62 to 52 can release roughly ₹2.74 crore in cash.

Technology & Data

A Report That Took Two Working Days to Build

By the time the monthly numbers are reconciled from three separate spreadsheets, the month has already moved on.

How we'd approach it: We'd agree on the decisions leadership actually needs to make, and the definition behind each number, before building any dashboard.

Example result: Recovering 75% of the time a team spends assembling reports matters less than making the same decision a month earlier.

1,500 Documents a Month, Read by Hand

Purchase orders and packing lists arrive in different formats, each retyped into the ERP by an employee.

How we'd approach it: We'd let AI read and map the clear documents, and route anything uncertain to a person, never the other way round.

Example result: Cutting handling time from twelve minutes to three per document can free up roughly 225 hours a month.

Company Knowledge That Only Lived in People's Heads

New hires take months to learn rules a few senior employees just remember, and everyone else calls them constantly.

How we'd approach it: We'd get the source documents under control first, then let employees ask in plain language, with every answer traceable to its source.

Example result: Freeing up even half the time senior staff spend answering repeat questions is often 80+ hours a month back.