The honest position

We have no case studies published. That is deliberate, and it is temporary.

Engagements are in the approval process. Until they clear it, there is nothing on this page pretending to be evidence.

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.

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.

95%

of generative-AI pilots produced no measurable return on the P&L.

MIT Project NANDA, 2025
42%

of companies scrapped most of their AI initiatives in 2025 — up from 17% the year before.

S&P Global, n=1,000+
30–50%

of initial RPA projects fail outright, on EY's own observation.

EY, Get Ready For Robots
56%

of executives report high regret over their biggest tech purchase of the last two years.

Gartner, n=1,120

What we can do instead

Ask us on the call, under NDA.

  1. 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.
  2. The architecture, in detail. How the confidence threshold, refusal path and review queue are wired, and what happens when the model is unsure.
  3. 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.
  4. 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.