Curiosity Call & Advisory
Start here: explore the problem and the options. Focused advisory beyond that.
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lloops Build practical AI capability for your supply chain teams
Turn a real business problem into a working AI solution — while your people develop the confidence to own what comes next.
Stage 01 · Curiosity call
Start with a curiosity call
We explore the problem, frame what matters and decide honestly whether a deeper engagement makes sense.
Stage 02 · AI immersion workshop
One day, your team, real problems
Up to ten people. We examine your problems through an AI lens, explore your data infrastructure — the foundations we'll start from — and agree the outcome we're aiming for.
Stage 03 · Learning loops
Learn by building
Prototypes, user feedback, iteration. We build the context, architecture and governance that make AI stick — and when something breaks, we fix it and keep going.
Stage 04 · Confirmed outcome
Deployed, measured, owned
A working solution in operation, measured against the outcome we agreed at the start. Your team keeps the solution, the knowledge and the IP.
Ways to work together
AI initiatives stall between experimentation and operational ownership. Four ways to close that gap — approach, price and outcome up front.
AI Immersion Workshop
A one-day session for a team of up to ten people, built around your real problems and your data infrastructure — we start with the foundations.
Plan a workshopWorking MVP
Business and IT together, from problem framing to end-to-end deployment.
Scope an MVPEmbedded AI Partner
An experienced AI partner alongside your team: knowledge base, architecture, delivery, capability.
Discuss an engagementWhy lloops
The engagement model is designed so the value stays inside your organisation after the engagement ends.
Learning loops
Every exception your team resolves becomes a reviewed rule. The brain compounds.
Local loops
Deployed once in your infrastructure. Owned by you. Not another SaaS.
Live loops
Not just static software — the brain runs with the team every day, updated with every decision.
Outcome-driven
Every engagement is built around a defined business problem and a measurable result.
Working software
Prototypes and end-to-end deployment — not slideware — with business and IT at the table from day one.
Your context stays yours
A knowledge base keeps organisational context in-house, and you retain all the IP created.
No lock-in
Model- and framework-agnostic, with transparent one-time or outcome-linked fees. No recurring SaaS dependency.
Capability transfer
The engagement leaves behind an in-house AI expert or team — not a dependency on lloops.
Who you'll work with
About Urvesh
I am Urvesh Devani, an AI and technology leader based in Singapore. I have spent 11 years building software, data and AI products, the last 7 of them in global supply chains and shipping.
Most recently I was VP of Technology at Portcast, where I led a fifteen-person team and shipped AI products used by Fortune 500 shippers. The latest was a freight audit product that made invoice checking about ten times faster and saved shippers roughly 20% more in costs.
The technology is rarely the hard part. The real work is picking a problem that is actually worth solving, then building something your team trusts and uses every day.
What makes AI genuinely useful in a business is everything your team already knows: how decisions really get made, which exceptions matter, why the obvious answer is sometimes wrong. My job is to capture that knowledge in a system you own, running in your own infrastructure, so it keeps getting smarter with your team long after my work is done.
Book a curiosity call
A focused conversation to explore the problem, identify options and decide the next step together. The curiosity call costs $0.
Step 1 · Your use case
A few lines about your use case or special project, so the call starts prepared. The booking link opens right after.
Step 2 — pick a time.
Book your curiosity call on Calendly
Then send your notes ahead to urveshdevani@gmail.com so we start prepared:
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Prefer plain email? Write to urveshdevani@gmail.com.