Sofpact field notes
AI strategy and operations, without the theatre.
Original analysis for leaders working through use-case choice, governance, operating models, data readiness and adoption.
First-hand operating perspective, named sources where facts are used, clear assumptions and no machine-made publishing quota.
EU AI Act High-Risk Delay: What Changed, What Did Not
The EU AI Act high-risk dates moved to December 2027 and August 2028, subject to Official Journal publication. The duties and preparation did not disappear.
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AI in Insurance: Control the Decision, Not Just the Model
Govern insurance AI across underwriting, pricing and claims with correct high-risk classification, fairness testing, human oversight and explainable individual outcomes.
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AI in Regulated Life Sciences: Every Claim Needs a Traceable Record
Use AI in regulated life-sciences documentation with defensible attribution, retained intermediate records, pinned model versions and qualification for a narrow intended use.
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AI in the CEE Mid-Market: Sequence Adoption to the Team You Have
EU AI obligations apply at every size. Use national regulatory sandboxes and SME measures, then sequence one workflow, evidence in context and an operating model.
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How to Build an AI Strategy That Survives Contact with Operations
Build an AI strategy around valuable workflows, proportionate controls, decision-grade evidence, operating ownership and clear stop conditions.
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AI Agents and Delegated Authority: The New Control Point in Regulated Services
A control framework for acting AI agents covering identity, delegated authority, payment permissions, policy gates, evidence, oversight and recovery.
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Document AI or Generative AI? Choose the Architecture, Not the Hype
Choose a document AI architecture across OCR, extraction and generative interpretation, with evaluation, provenance, review and data protection.
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AI Data Readiness: A Practical Checklist for Managers
Assess AI data readiness across purpose, permission, quality, provenance, representation, evaluation, operating limits and accountable ownership.
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Internal AI Assistants: Ground the Knowledge Before You Scale
Build a governed internal AI assistant around approved knowledge, inherited access, representative evaluation, visible evidence and accountable ownership.
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AI for Retail Decisions: When Simulation Is Evidence
Use AI, computer vision and simulation to test retail layout decisions while separating assumptions, model output, operational evidence and accountable judgement.
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