A closer look at the products we can build, the problems we explore, and the safeguards we design in from day one.
These illustrative concepts show our approach. They are not claims of completed client engagements or verified results.
6 projects
An internal knowledge assistant that connects answers to their sources and keeps access boundaries intact.
Concept outcome: a focused evaluation plan measuring source accuracy, answer usefulness, and access-control failures. No client results are claimed.
A guided workflow for turning sensitive business context into a useful, protected prompt.
Concept outcome: a reviewable transformation flow and test cases for missed identifiers, excessive masking, and unauthorized reconstruction. No production detection rate is claimed.
A small, complete product experience designed to test a founder's most important assumption.
Concept outcome: a working-scope blueprint and validation scorecard covering usefulness, task completion, response cost, and error recovery.
A document review concept that turns incoming files into structured records ready for approval.
Concept outcome: measurable review checkpoints for field accuracy, correction effort, and safe rejection of unsupported documents.
A practical inventory that connects AI use cases, data exposure, owners, and review decisions.
Concept outcome: traceable decisions and a review queue. A real engagement would define risk criteria with the organization and its qualified advisers.
A support-drafting concept that prepares grounded replies while preserving an agent's final decision.
Concept outcome: an evaluation set for policy consistency, factual support, unnecessary data exposure, and agent edit effort.