AIWhere it earns its place

In use

AI where it earns it.

We use AI where it solves a real problem. When a process change or a simple form would do the job better, we say so.

InternalLive dataOur agents read and act on production systems

Docs16Written for AI retrieval at Shopping Event VIP

Hiring4,500+Applications read by our pipeline

ModelsTestedOn our own workloads, before we choose

HonestyWhen notWe will tell you when AI is the wrong tool

A–A

How we decide

The first question is always the same: does this problem need AI at all?

StartA real problem, described in plain words

Ask firstWould a process change or a simple form fix it?

YesDo that.

No model, no running cost, nothing new to maintain.

NoUse AI, tested on real workloads

We evaluate it against the work it will actually do, then ship it and keep measuring.

Fig. 1 · The question before any AI work

B–B

In our own work

How we use AI inside Quvor. These are our tools, not features we add to every client’s product.

EngineeringInternal

An engineering workspace with AI in it

Our agents read and act on live production data, and they check the live schema before anyone writes code. The work starts from what is true today, not from memory.

DocumentationInternal

Docs written to be found

We write our engineering docs for AI retrieval as well as for people, so answers come from our own documentation instead of from someone’s head.

EvaluationInternal

Models tested on our workloads

Before we choose a model, we test it on the work it will actually do. Benchmarks don’t decide; our own results do.

C–C

For clients

Where AI is the right tool for a client, we build it to be used every day.

Shopping Event VIPClient · Belgium

Agents the team uses every day

We wrote 16 engineering docs for AI retrieval, and built the agents on top of them.

An assistant in Slack that answers from the team’s documentation
A wiki agent
Agents that draft newsletters
Agents that draft partner onboarding documents

Read the case

Hiring pipelineBuilt for ourselves

AI scores, people decide

Our hiring pipeline reads every application. AI scores each one against written criteria and checks claims against real code. People make every decision.

4,500+ applications across 17 hiring forms
144 applicants ranked into a shortlist of 11 in about 11 minutes
Interview and practical round run by people

Read the case

D–D

When not to

Knowing when not to build something is worth more than building the wrong thing fast.

When a process fix would work
Many AI requests are judgement or process problems. We fix the process first.
When a form would do
A well-structured form is cheaper, faster and easier to trust than an agent.
When it can’t be evaluated
If we can’t test it on the real work, we won’t put it in production.
When it would waste months
We have talked clients out of AI features that would have cost months and changed little.

E–E

Not sure if you need AI?

Tell us the problem in plain words. We will tell you honestly whether AI is the right tool.

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