HSLRAI • Data • Software
Build in weeks

AI Quickstart

Your first AI workflow in production within weeks. Not a proof of concept that ends up in a drawer, but a real build that runs in your team's daily work from day one.

What the AI Quickstart is

The AI Quickstart is a focused build, not an experiment. We take exactly one use case and bring it into production with your real data. The result is not a prototype to look at, but a workflow your team uses in production.

A real build

Production-grade code with real data, not a throwaway prototype. You keep the source code and documentation.

Exactly one use case

We focus on one clearly scoped workflow. A sharp cut beats five half-finished features.

Live in weeks

From scoping to go-live in typically 4 to 8 weeks, not months.

Who the AI Quickstart is for

For companies with a clearly defined use case who don't want to keep testing AI, but finally use it productively in their daily work.

Does this sound familiar?
  • A promising use case is clear, but never gets past the idea stage.
  • Earlier prototypes impressed and then gathered dust on a laptop.
  • You want a result your team genuinely works with, not another concept paper.
  • Before any budget flows, you want an honest go/no-go decision instead of a blind start.

Built-in scoping day with a hard go/no-go

Every AI Quickstart begins with a scoping day. We look together at your data, interfaces, and the desired outcome, and end with a clear decision: go or no-go. No separate, upfront specification gate needed, the scoping day is part of the Quickstart.

An honest no-go is cheaper than a build that fails against reality. If the decision is no-go, you only pay the scoping flat fee and leave with a clear assessment.

What we clarify on the scoping day
Is the required data available, accessible, and of usable quality?
Can the workflow be cleanly connected to your existing systems?
Is the result reachable in a few weeks, or does it need a larger effort?
Clear go/no-go decision with a fixed price and timeline for the build.

How the AI Quickstart runs

Four clearly defined steps, from the first decision to running in production.

1

Scoping day (go/no-go)

We check data, interfaces, and feasibility and make a clear go/no-go decision with a fixed price.

2

Build in 4 to 8 weeks

We build the workflow iteratively with your real data, with regular demos and short feedback loops.

3

Rollout in the team

We hand over, document, and train your team so the workflow is genuinely used in daily work.

4

Go-live on HSLR Cube

The finished workflow goes into production, operated and monitored, then it moves to the HSLR Cube, where it runs.

Where your workflow runs and is maintained after go-live: Explore HSLR Cube

What you end up with

Not a slide deck, but a usable result your team can work with straight away.

Production workflow

A working AI workflow with your real data, ready to use in daily operations.

Handover & training

Documentation and a training session so your team can operate the workflow independently.

A home for operations

Go-live on the HSLR Cube, operated and monitored, instead of stranded on a laptop.

Full ownership

Source code and architecture are yours, no lock-in, knowledge transfer included.

Investment
from €8,500

Fixed price after the scoping day, with scope and timeline defined as binding.

If the scoping ends in a no-go, we only charge a small flat fee for the scoping day. So you do not pay for a build that will not hold, only for the clarity you take away.

Free intro call

Not the right fit?

For a quick first proof, there is the single AI building block (a few days). For larger, custom initiatives, the AI Specification Day.

All services at a glance

Frequently Asked Questions

What most people wonder before the AI Quickstart.

A proof of concept only shows that something is possible. The Quickstart delivers a workflow that runs in production with your real data and that your team uses in daily work. Production-grade code instead of a throwaway prototype.
Then you only pay the small scoping flat fee and leave with a clear assessment. An honest no-go is cheaper than a build that fails against reality.
No. The scoping day is included in the Quickstart and locks down feasibility and scope. The separate AI Specification Day only pays off for larger, custom builds with multiple workflows.
The finished workflow moves into the HSLR Cube and keeps running there, operated and monitored. Source code and architecture are yours, no lock-in, knowledge transfer included.

Still have questions? Get in touch

Ready for your first AI workflow in production?

In a free intro call, we clarify your use case, your data situation, and whether the AI Quickstart is the right path.

Free intro call