Work
What actually happened
Named where we have permission, anonymised where we do not. The numbers are the ones the client reports, not our projections — and each one includes what we would do differently.
Freight forwarder and 3PL
Recovering 4.1% of freight spend by auditing every invoice
A mid-sized forwarder audited freight invoices by sampling roughly 5% of them, because auditing the rest by hand was uneconomic — so systematic small overcharges passed unnoticed, and shipment exceptions were routinely discovered when the customer rang to complain.
- 4.1%
- Freight spend recovered in year one
- 100%
- Invoices audited, from a 5% sample
- 74%
- Track-and-trace enquiries auto-resolved
Auto components manufacturer
Cutting quality documentation from 6 hours a shift to 90 minutes
Across three plants, quality engineers spent most of a shift writing non-conformance and inspection documentation by hand, while production reporting arrived a morning late because the MES, the historian and the ERP disagreed about what each machine was called.
- 6 hrs → 90 min
- Quality documentation time per shift
- 71%
- Non-conformance reports drafted automatically
- 1 shift
- Production reporting latency, from next morning
Premium building products manufacturer
Cutting enquiries by half and doubling the buyers
A premium building products manufacturer generated enquiries in volume through portals and campaigns, but most could not afford the range, dealers complained the leads were poor, and a fourteen-month purchase cycle meant no campaign could be attributed to a sale by the time the sale happened.
- -52%
- Total enquiries reaching sales
- 2.1x
- Qualified buyers per quarter
- -63%
- Cost per qualified buyer
D2C retail brand
Surviving a sale day at 9x normal traffic
After a checkout outage during the previous festive sale, a growing D2C brand needed infrastructure that would hold at nine times normal traffic — and a support team that would not drown in order-status tickets.
- 99.99%
- Checkout availability through the sale
- 9.2x
- Peak traffic versus baseline
- 65%
- Support tickets auto-resolved
Mobile network operator
Recovering more from overdue accounts by contacting fewer of them
An operator chased every overdue account with the same reminder cadence and the same escalation, spending heavily on balances that would never be recovered, offering settlements to customers who would have paid in full, and pushing customers in genuine difficulty through a sequence designed for someone else.
- 23%
- Recovery uplift on aged balances
- 31%
- Fewer contacts per rupee recovered
- 100%
- Recommendations with a recorded reason
B2B SaaS platform
Shipping a stalled AI feature in nine weeks
A Series-B SaaS company had an AI summarisation feature that demoed well for seven months but could not ship — nobody could state its accuracy, its cost per user, or what happened when the model provider had an outage.
- 9 weeks
- Prototype to general availability
- 47%
- Inference cost reduction
- 0
- Provider outages visible to customers
Multi-specialty hospital group
Cutting pre-authorisation turnaround from 9 days to 36 hours
A four-hospital group was carrying a nine-day median on insurance pre-authorisation, with two coders and three billing staff assembling each request by hand from records spread across the HIS, the LIS and a shared drive.
- 9 days → 36 hrs
- Median pre-authorisation turnaround
- 83%
- Requests assembled without manual entry
- 2.7x
- Coder throughput on assisted specialties
Bengaluru-based NBFC
Cutting loan onboarding from 6 days to under 8 hours
A mid-sized lender was losing qualified applicants during a six-day KYC and document verification cycle, with three analysts re-keying data from PDFs into the loan origination system.
- 6 days → 8 hrs
- Median onboarding time
- 91%
- Applications processed without manual entry
- 2.4x
- Applications handled per analyst
Independent hotel group
Moving guests who already knew the name off commissioned channels
A five-property hotel group was paying intermediary commission on a large share of bookings, including guests who had searched for the hotel by name, and could not tell which marketing spend produced an actual stay because attribution stopped at the booking platform.
- +29%
- Direct share of margin-weighted revenue
- 41%
- Reduction in cost per acquired stay
- 100%
- Spend reconciled to actual stays
Fitness studio franchise
Selling eleven memberships badly, then four well
A fitness studio franchise sold memberships almost entirely in person because its online signup converted poorly — eleven overlapping packages nobody could compare, a five-step checkout, and recurring payments failing often enough that studios had given up trusting the online channel.
- 3.1x
- Online share of new memberships
- 11 → 4
- Membership packages offered
- < 90 sec
- Signup to first class booked
Live events and experiences operator
An on-sale that stopped falling over in the first two minutes
An events operator lost the first four minutes of every major on-sale to a platform that collapsed under the opening spike, while resellers took a visible share of inventory and refunds, transfers and name changes were all handled manually from a shared inbox.
- 99.98%
- Availability through on-sale windows
- 14.3x
- Peak-to-baseline traffic absorbed
- 70%
- Ticket admin resolved without an agent
Collegiate athletics programme
A live score portal that holds at 40x on match day
A university athletics programme had a fan portal that degraded every match day — live scores arriving up to forty seconds behind the broadcast, the site slowing to a crawl at kick-off, and always-on infrastructure being paid for six days a week when traffic was effectively zero.
- < 1.8 sec
- Live data latency to client
- 41x
- Match-day peak versus off-day baseline
- 64%
- Off-day infrastructure cost reduction
Group tour operator
Group tour quotes in 20 minutes, down from three days
A group travel operator was losing enquiries to faster competitors because every multi-party itinerary was quoted by hand — availability checked across supplier inboxes, components priced in a spreadsheet, and the document formatted manually, taking three days at median.
- 3 days → 20 min
- Median quote turnaround
- 2.9x
- Enquiries handled per consultant
- 34%
- Enquiry-to-booking conversion increase
Early-years education franchise
Cutting new-centre setup from 9 days to under 3 hours
A fast-growing pre-school franchise was opening centres faster than head office could set them up, with each new location taking nine days of manual configuration across four systems and franchisees running three different versions of the same platform.
- 9 days → 3 hrs
- New centre provisioning time
- 1
- Platform versions in production
- 82%
- Franchisee support questions auto-resolved
Several of our engagements are under NDA and cannot be published in any form. If you want a reference in your sector, ask — we can usually arrange a direct conversation with a client even where we cannot write about the work.
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