AI Solutions — Arozen
/ AI Services — Service

AI Solutions

LLM applications, RAG systems and agents that survive contact with production — built on your data, measured against your metrics.

/ How delivery works

From use case to production

01

Use-case sprint

We pressure-test the idea against your data and constraints, and define what success means in numbers.

02

Prototype

A working system on real data within weeks — enough to make a genuine go / no-go decision.

03

Productionize

Evaluation harnesses, guardrails, monitoring and cost controls turn the prototype into a dependable system.

04

Operate & improve

We instrument quality in production and iterate — models change monthly; your system keeps up.

/ What you get

Every engagement ends with

Validated use-case definitionWorking prototype on your dataProduction system with guardrailsEvaluation & monitoring harnessRunbook & team handover
/ Benefits

Why it pays off

Honest go / no-go early

A real prototype in weeks beats a slide deck in months — and killing a bad idea early is cheap.

Production-grade, not demo-grade

Evals, guardrails and cost control are built in, not bolted on.

Keeps pace with the field

Architecture designed to swap models as better ones ship.

/ Who it's for

When you need this

You have a concrete AI use case and need it built properly.

A promising demo exists but nobody trusts it in production.

Leadership wants AI leverage and you need a credible first win.

/ Engagement & timeline

How we work together

Discovery sprint

Use-case validation and prototype, 3–4 weeks, fixed price.

Build & operate

Full production build with an ongoing improvement retainer.

Typical timeline  Prototype in 3–4 weeks; production systems typically 2–3 months.

/ FAQ

Common questions

Does our data leave our environment?

No — systems are built to run in your cloud or on-premise, and model choices respect your data residency requirements.

Which models do you use?

Whichever fit the task and constraints — commercial APIs, open-weight models, or a mix. The architecture keeps you portable.

What does an honest failure look like?

If the discovery sprint shows the use case will not clear the bar, you get that finding in writing — before production budget is spent.

Have a problem worth solving?

Brief us on the use case — we will tell you honestly whether it is a fit. Replies within 24 hours.

Get a tailored proposal