Failed-AI repair
Pick your worst back-office workflow. We’ll prove what it costs, then fix it.
The AI money went to sales and marketing because those wins are visible. The documented returns were in the back office — BPO spend, agency spend, outsourced risk. That’s where we work, and it’s where almost nobody is selling.
of corporate AI pilots returned nothing
MIT’s Project NANDA reviewed 300+ initiatives and found 95% of organizations got zero measurable P&L return. If your pilot went nowhere, that’s the base rate — not your team’s failure.
MIT Project NANDA, 2025better odds with an outside partner
The same study: external partners reached deployment about 67% of the time versus 33% for internal builds, and the best engagements went pilot-to-production in roughly 90 days instead of nine months.
MIT Project NANDA, 2025is what an llms.txt file is worth
A 300,000-domain study found no measurable link between having one and getting cited. Ahrefs found 97% of them get zero traffic. If an agency sold you one, ask what else they sold you.
Ahrefs, 137k sites“We’ve seen dozens of demos this year. Maybe one or two are genuinely useful. The rest are wrappers or science projects.”
A CIO, quoted in the MIT report — the reason we lead with your numbers instead of our softwareWhat an audit actually is
Three weeks. Fixed fee. A number your controller recognises.
Measure the current state
One workflow. What it costs you today in hours, headcount and vendor spend — written down in numbers the person who signs already understands.
Spec the fix and the ROI
What we’d build, what it saves, what it costs, and the payback period. Written for the approver, not for engineers.
Ship it, or embed
We build it — audit fee credited — or we work two days a week inside your team until it’s in production. Your call, and you make it after you’ve seen the numbers.
Where we work
The unglamorous half, where the returns actually were.
RAG over your documents
Retrieval that answers from your contracts, policies and history — with evaluation, so you can tell when it’s wrong instead of finding out from a customer.
Document intake and extraction
The pile somebody re-types into a system every week. Extraction with a correctness check and a human review path for the edge cases.
Codebase rescue
The offshore team went dark, the agency folded, the code is undocumented and nobody can deploy it. We take it over, document it, and get you shipping again.