Shipped work. With the numbers, and the context behind them.
Grouped by the problem each one solved rather than by publication date. Clients are described rather than named, and every figure is from a single engagement over a defined measurement window.
Finance automation
How we build thisFinance & accounting
Books that close every day, not every quarter
An agentic workflow that reconciles transactions against invoices continuously, keeps a live read on cash and working capital, and leaves the books audit-ready at any hour. It sits on top of Tally Prime and Zoho Books rather than replacing them.
- Transactions auto-matched
- 94%
- no human touch
- Books current to
- Yesterday
- was 40 days
- Audit pack prep
- 2 days
- from 3 weeks
Fintech operations
How we build thisFintech · Credit
An underwriting copilot that took decisions from days to minutes
A lending team was drowning in manual file review. We put an agent in the loop that reads every source, argues its own case, and hands the underwriter a decision worth signing.
- Median decision time
- 38s
- from 2.4 days
- Files auto-tiered
- 71%
- no analyst touch
- Override rate
- 4.1%
- underwriter disagrees
Fintech · Lending
Collections on WhatsApp, run end-to-end by an agent
Recovery calls nobody answers, replaced by a conversation people actually finish. BM Relay negotiates, takes the payment, and knows exactly when to stop.
- Contact rate
- 94%
- vs 31% on voice dialer
- Promise-to-pay kept
- +38%
- Cost per recovery
- −62%
Customer operations
How we build thisCustomer experience
A voice agent that holds its own in nine Indian languages
Support in English served maybe a third of the callers. Sovereign Indic models and a hard latency budget served the rest, including the ones who switch language mid-sentence.
- p95 latency
- 320ms
- Containment
- 63%
- resolved without a human
- Languages live
- 9
Healthcare
Eleven clinics, one calm system, live in nine days
Scheduling, records, billing and follow-ups had been four disconnected tools and a WhatsApp group. BM Clinivio replaced all of it without a training week.
- No-shows
- −42%
- Front-desk time saved
- 2.1h/day
- Go-live
- 9 days
- across 11 sites
Manufacturing · Ecommerce
Search that understands a part, not just its name
Forty thousand SKUs, half of them near-identical, and buyers who search by symptom rather than part number. A reranker and a graph fixed what keyword search never could.
- Search-to-cart
- +41%
- Zero-result queries
- −78%
- Support tickets
- −1/3
- 'which part do I need'
Methodology and privacy
- Clients are described rather than named. Where a quote appears it is attributed to a role and published with approval.
- Figures come from a single engagement and are not a forecast of what a different business would see. Volume, data quality and process maturity move them more than the technology does.
- Baselines were captured before the work started. The measurement window and sample for any figure on this page are available on request.
- Where a number is illustrative rather than measured, it is labelled as such in the text.
Bring us the loop you can't get to ship. We'll show you how it goes live.
30 minutes. No deck. We map the loop, the data, and the path to production, and tell you honestly if AI is the wrong answer.