Analyse
AI to understand the problem before anyone builds anything. We start with the operation, not the tool.
Claudia: Auris and David work out where your hours actually go before anyone builds a thing. I turn what they find into the assessment.
Why the Laboratory comes first
Most AI projects fail before the first line of code, because nobody mapped where the processing actually lives. Twenty-five years of walking into businesses taught us that the map is the work. AI now lets us draw it in days instead of weeks.
What happens here
We sit with your team, capture how work really moves, and let AI do the heavy lifting on the analysis: transcripts, process maps, time-and-motion, the boring maths. You get a plain-language picture of where the hours go and which ones are not human work.
How we use this on ourselves
Not a case study from someone else. This is what runs our own business today.
- Every engagement opens as a discovery record in HQ, our operations system, before a proposal exists.
- Auris, our compliance and research agent, reads every assessment for privacy and data-handling risk before it ships.
- Claudia turns the discovery notes into the assessment document the same day.