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ProQu

Use cases

What this looks like in practice

One use case for each of the five ways we work: the problem, what we build and what you get. These are examples of our work, not client case studies.

All use cases

AI Agents

B2B services company, United States

Example

An agent for the operations inbox

A services company loses hours to a shared inbox. We put an agent in its environment that reads the mail, looks up the account and drafts the reply. A person still approves anything that commits the company.

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Skills

Professional services firm, EU

Example

A skill library the company owns

The team already has an AI assistant, but it does not know their templates, their price rules or the steps a proposal has to follow. We package that know-how into versioned skills the company owns.

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AI Solutions

Industrial company, EU

Example

Search over company knowledge

Manuals, contracts and policies are spread across drives and an old intranet. We build a system in the client’s cloud that answers from the current document, cites the page and respects the access rights people already have.

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Forward AI Engineering

Software product company, United States

Example

Engineers inside the product team

A product team wants AI inside the product and does not yet have the practice around it. Our engineers join their repository and their planning, ship the first feature with them and leave everything in their codebase.

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Data Engineering & Operations

Logistics company, EU

Example

A data platform defined in code

Reports are built from manual exports, and the cloud was set up by hand. We put the infrastructure into Terraform and Ansible, build tested pipelines on top of it and hand over a platform the client’s team can run.

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