AI implementation case studies — systems we have designed and built
Each one shows the same thing: where AI does the reading and judging, where fixed rules take over, and where a person stays in control. That boundary is the whole craft.
Five systems, one set of principles
Different work, the same engineering decisions in every case.
- AI and rules are kept separate. Criteria you set cannot be quietly overridden by an AI interpretation.
- Every decision comes with its reasons. A score without evidence is not useful to anyone reviewing it.
- Uncertain cases stop. Low confidence, contradictory information, or missing fields route to a person with an explanation.
- Nothing fails silently. A failed step becomes a visible exception, not a quiet wrong answer sitting in your system.
- Decisions stay inspectable. What went in, what the AI proposed, what was decided, and what a person changed — all recorded.
Read each one in detail
Opportunity scoring with reasons
Turns inconsistent inbound inquiries into a consistent qualification decision — with the reasoning recorded, and a route to a person whenever the case is unclear.
Read →02Answers from your own documents, with sources shown
Questions asked in plain language across your approved documents, answered with the specific document and section each statement came from.
Read →03Supplier and product qualification
Thousands of records in inconsistent formats, with the supplier assessed before the product and every rejection reason recorded.
Read →04One reliable picture across several systems
Records collected from several external systems on a schedule and reconciled into one consistent history, with the status of every run visible.
Read →05Oversight of AI-assisted delivery
Software delivery split into separate roles, each producing a defined document and each having to pass a check before the next stage begins.
Read →Your work will not look exactly like these
It rarely does. What carries across is the shape: find the step that genuinely needs judgment about language, put fixed rules around it, give every decision its reasons, and keep a person on anything consequential.
An audit works out which step in your business that is. See the AI Readiness Audit →