Practice / 01
What to check before an AI pilot
Prepare an AI pilot: choose a user action, collect evaluation examples, define errors and plan an end-to-end test.
Blog
Planning AI pilots
and briefing staffing vendors.
Checking document answers, preparing an AI pilot and briefing IT staffing vendors.
Practice / 02
There is a citation. Does it support the answer?
A source beside an answer is useful only if it supports the claim. A practical example using a requirements change.
Practice / 03
One request. Comparable submissions.
Role, work, rate and criteria: make vendor submissions comparable and preserve the questions that need an interview.
Illustrative engineering scenarios showing common constraints. They are not presented as client case studies or proof of Novera delivery.
01 / Data · Architecture
One view. Several source systems.
Problem and context
A multi-asset organisation needs management reporting. The data sits in several systems, and reporting must stay within the organisation’s infrastructure.
Possible approach
PostgreSQL, Airflow pipelines and Power BI reporting with role-based access.
What the scenario demonstrates
Read the scenarioThe scenario shows how an interim demonstration can clarify reporting priorities.
02 / Manufacturing · System design
Spot a defect on a moving line.
Problem and context
An operator checks packaging as it moves along a production line. Automation starts with understanding which defects a camera can see and how to inspect them without slowing the line.
Possible approach
Defect definitions, image-capture conditions, processing beside the line and an operator interface.
What the scenario demonstrates
Read the scenarioThe scenario connects defect requirements with image capture and the inspection architecture.
03 / Retail · Pilot
Cameras watch. Software checks the shelf.
Problem and context
This pilot explores how to identify and count products from images of a retail cabinet. Model quality depends on the cabinet’s physical configuration.
Possible approach
Cameras and shelf regions, recognition and counting models, an API and an interface.
What the scenario demonstrates
Read the scenarioThe scenario shows how camera position and cabinet configuration can affect recognition and counting.
What do you want to build?
Tell us about your project and current system. Let’s discuss how we can work together.