Andreas Pfeiffer
Co-Founder & Chief Executive Officer
Technology and consulting experience focused on making AI transformation decisions more evidence-led.
AI transformation infrastructure
Stop Guessing.
Start Knowing.
Iris gives companies a structured way to understand how their processes actually work. It combines stakeholder interviews, participant-controlled screen observations and operational data, and turns that evidence into a reviewable recommendation.
Three complementary sources of evidence
Three sources of evidence. One reviewable picture of the work.
Iris keeps each evidence type distinguishable. Administrators can see what is confirmed, what is contested and what still needs validation before producing a recommendation.
From evidence to recommendation
A structured view of the work. A recommendation ready to defend.
Build the current-state pictureSurface gaps and conflicting accountsIdentify AI and process redesign opportunitiesPrepare recommendations with explicit expected-impact assumptions
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Shared current-state process view
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Open gaps and conflicting accounts
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Suggested next stakeholders
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Prioritised AI and process redesign opportunities
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Expected-impact assumptions
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Decision-ready recommendation package
Updates
Latest thinking
Practical perspectives on AI transformation, process evidence and the decisions that shape meaningful change.
Event
23 Sep 2026Prescient Labs
Inside 'How Small AI Consultancies Win Client Work'
From IT involvement and the language of AI transformation to the evidence clients need, a recap of Prescient's discussion with AI consultancies.
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Prescient Labs
Meet the founders
See Iris with the process you’re already working on.
A 30-minute walkthrough of the platform. Bring a process you’re working on. We will show you how Iris would approach it.
Book a demo