Architects: is Kervalt a fit for your studio?

1 / 10

Demonstrating a technical answer down to the exact norm or source article requires lookup work.

Every published reference carries ten-year liability.

What we are gauging: Citation discipline for technical claims: whether every norm reference can be shown to its source article.

2 / 10

A norm reference turned out wrong or outdated after publication.

The liability clock starts at publication.

What we are gauging: The currency of published references. A norm that changed after publication is liability you already issued.

3 / 10

Checking norm references happens project by project, by hand.

Verification is repeated by hand, project after project.

What we are gauging: The verification effort per project. Reference-checking repeated by hand, project after project, is risk by design.

4 / 10

Identical technical questions can receive different answers within the team.

In a tender, one answer, sourced, wins.

What we are gauging: Consistency across the team: whether the same technical question gets the same sourced answer from everyone.

5 / 10

AI texts about norms require complete human review before publication.

An invented norm reference is published liability.

What we are gauging: Exposure to unverified AI output on norms. An invented reference published in a specification is liability in print.

6 / 10

Answers built on older project texts do not visibly carry their version information.

Reused text is only as fresh as its sources.

What we are gauging: Version discipline: whether answers built on old project texts can state which version they rest on.

7 / 10

Client designs and project data under confidentiality obligations pass over our desk.

Designs are competition-sensitive by nature.

What we are gauging: The volume of confidential design data. This is the protection gate: the more sensitive the material, the more you owe it owned infrastructure.

8 / 10

The exact location and access of project data cannot be fully demonstrated today.

Confidential designs deserve a precise answer.

What we are gauging: Whether data location and access are precise and stateable: what clients with confidential designs will ask.

9 / 10

Deadline pressure sometimes puts public AI tools next to project text.

Deadline pressure is how drawings leak.

What we are gauging: Shadow AI practice: whether project text reaches public tools under deadline pressure, and what leaves with it.

10 / 10

Clients ask where their drawings are processed.

This question now sits in every serious briefing.

What we are gauging: Client expectations on data location. Expect this question in every serious briefing from now on.