Pick the work
Prioritise a real decision or workflow—not a generic technology experiment.
AI strategy · controlled delivery · embedded operations
Put AI to work where governance and operations meet.
Founder-led AI strategy, prototypes and embedded delivery for regulated and operationally complex organisations. From first use case to handover, with one accountable operator.
- Oxford AI Programme
- Warwick MBA
- Google Cloud
- AWS
- Microsoft
Use caseSpecific work worth changing
Gate 01Value and feasibility
Gate 02Controls and evidence
Gate 03Workflow and ownership
LiveAdoption, measures, handover
CONTROLLED PATHThe operating problem
The model is rarely the hard part.
Make it governable
Design data, human oversight, controls and evidence into the solution from the start.
Make it owned
Land the change in day-to-day operations, with accountable owners and a practical handover.
Three ways to engage
Assess. Prove. Embed.
Start with the smallest engagement that can remove uncertainty and create a credible route to value.
01 / Assess
AI Readiness & Governance Assessment
A focused five-day review of use cases, data, risk, ownership and delivery readiness—with a prioritised action plan.
02 / ProveAI Sprint
A controlled four-to-six-week sprint that turns one valuable workflow into a working prototype and evidence-led decision.
03 / EmbedEmbedded AI & Operations Leadership
Fractional leadership to align product, operations, risk and delivery—and leave the organisation able to run without dependency.
Where this work fits
01
Regulated finance & payments
02
Insurance
03
Pharma & life sciences
04
B2B information & media
05
Operationally complex scale-ups
06
CEE mid-market organisations
Founder-led by design
Senior judgement stays close to the work.
Sofpact is led by Radko Diev, an operator and AI transformation consultant with experience spanning regulated payments, complex retail operations and practical AI delivery.
The work connects executive choices with workflow detail: business value, data, governance, adoption and accountable ownership.
Operator perspectiveFrom executive decisions to operating detail.
Cross-functional deliveryProduct, operations, technology and governance in one accountable thread.
Independent by designTool-agnostic advice and a visible path to handover.
Recent field notes
Useful thinking for difficult delivery.
Practical analysis for leaders deciding where AI belongs, how to control it and what it takes to make it operational.
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.
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.
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.
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.
A useful first conversation