Client builds, designed end to end
SEE OUR WORK
Four automations, built end to end — the flows, the staff-side control room, the capacity limits, and what each one deliberately does not do.
View the full portfolio ↓The honest position
The work is real. The numbers go up when the client signs them off.
Four builds are documented in full on the portfolio page — what was scoped, how it was wired, what the staff on the other side of the counter see. What you will not find on them is an outcome figure no client has approved. Those engagements are still in the approval process.
What we think a case study has to be.
A case study names the client, states how the result was measured, and carries written approval before it goes online. If it does not do all three, it is marketing copy with a number in it.
That standard rules out most of what the industry publishes. “A leading NBFC saw a 70% reduction in handling time” tells you nothing you can check: not who, not measured against what baseline, not over what period, not who decided what counted as handled. We are not going to write those.
So the portfolio describes the build — the workflow, the architecture, the failure paths, the capacity it was sized for. It claims no percentage that a client has not put their name to. When one does, their name and their measurement method go up here together.
Why scepticism is reasonable
The numbers that make buyers cautious are real.
Four figures from independent research — the same four on our homepage. They are the reason a vendor asking you to trust an anonymous case study deserves a hard look.
of generative-AI pilots produced no measurable return on the P&L.
MIT Project NANDA, 2025of companies scrapped most of their AI initiatives in 2025 — up from 17% the year before.
S&P Global, n=1,000+of initial RPA projects fail outright, on EY's own observation.
EY, Get Ready For Robotsof executives report high regret over their biggest tech purchase of the last two years.
Gartner, n=1,120What we can do instead
Ask us on the call, under NDA.
- Comparable deployments, discussed under NDA. On the audit call we will talk through builds close to yours — what was in scope, what broke, what we would do differently — without naming a client who has not agreed to be named.
- The architecture, in detail. How the confidence threshold, refusal path and review queue are wired, and what happens when the model is unsure.
- References, once approval clears. When a client signs off, their name and their measurement method go on this page together. Not one without the other.
- A straight answer about your process. Including “do not automate this, fix the process first” or “the tool you already pay for does this”.
Start with one process
Show us the job nobody in your team wants to do.
Forty-five minutes, no charge, no deck. You will get a straight answer on whether it is worth automating — and if it isn't, you will get that answer too.