Algovane AI takes one high-value AI opportunity from prototype to a production system your team can run — in a single, fixed four-week engagement, scoped and priced before we start, built to still hold up six months later.
Not because the model was wrong — because nobody scoped the smallest useful system, tested it against real usage, or planned who'd own it after launch. That's why every project runs as one fixed four-week engagement: scope small, prove it with a real prototype, then build for real. Algovane AI exists to fix that sequence, not to sell you a bigger model.
Every four-week engagement runs through the same three moves, priced and delivered as one whole — not three separate contracts to negotiate.
A clear-eyed read on where AI actually moves your business — and where it's just noise. You leave week one with a scoped problem, a prototype target, and a fixed plan for the three weeks that follow — not a slide deck.
Example: a week embedded with your ops team to find the three processes actually worth automating — and an honest answer on the two that aren't.
We start with a working prototype against your real data — if it earns its keep, it becomes the production-grade agent, retrieval pipeline, or automation shipped directly into the stack your team already uses.
Example: an internal support agent that reads your docs and past tickets, answers what it's confident about, and escalates the rest instead of guessing.
Hands-on workshops and embedded pairing so your team can extend and maintain what we build — plus full documentation and a clean handover on the day the engagement ends, built to hold up long after.
Example: pairing with two of your engineers for a week so they can extend the system themselves once we're off the clock.
Every engagement moves through the same sequence in four weeks flat — the order is what keeps it from turning into an expensive demo.
We map your data, workflows, and constraints to separate the real opportunity from the noise — and leave week one with a project brief, success metrics, and one problem worth solving.
We define the smallest system that can prove the direction, then build and test a working prototype against real data — before a single line of production code gets written.
Once the prototype earns it, we build the real system — designed, integrated, and shipped in the open, inside your existing tools and repos.
We pressure-test against real usage and tune for reliability — not for how it looks in a demo.
By the end of week four you have the live system, full documentation, a trained team, and us still reachable as it meets the real world.
A short list, kept short on purpose.
A prototype exists to prove the idea. What ships after it is different: if it can't survive real traffic, real data, and a bad week, it isn't finished.
We won't automate a broken process. We fix the process, then decide whether AI is even the right instrument.
No black boxes, no vendor lock-in. Full documentation and handoff, every time.
You work with the person doing the work — not an account manager relaying updates.
Let's spend 30 minutes finding out whether it's a fit for a focused four-week engagement — and if it isn't, we'll tell you that too.