AI Transformation Advisor | Technical Founder | Chartered Accountant | CFA Charterholder | AI/ML
I work at the intersection of business strategy, financial decision-making and hands-on artificial intelligence implementation.
My background combines senior executive advisory experience at the International Accounting Standards Board and Deutsche Bank with software engineering, AI/ML research and entrepreneurship.
I'm currently Co-founder and CEO of TailyX AI, where we're developing an AI-native customer-discovery platform and using agentic AI to redesign our own business processes.
Commercially grounded AI transformation
Identifying business problems worth solving, evaluating AI use cases, assessing ROI and translating opportunities into practical implementation roadmaps.
Applied GenAI and agentic systems
Designing and implementing workflows that combine language models, software automation, structured evidence, human oversight and business decision policies.
AI-assisted software engineering
Managing specialised AI-supported development workflows with automated testing, independent review, controlled releases and explicit human approval boundaries.
Machine learning and decision systems
Research into how predictive models can be combined with operational policies to improve lead qualification and business decisions.
Developing a Rails-based SaaS platform combining conversational qualification, lead scoring, prospect research, customer hypotheses and revenue workflows.
Focus: Moving beyond AI-generated recommendations towards decisions supported by observable evidence and commercial outcomes.
Designing AI-supported workflows across software development, strategic research, content marketing and prospect discovery.
Focus: Reducing repetitive work while retaining human accountability, reliable verification and controlled execution.
Master's research examining the integration of predictive models with operational decision policies for constrained lead qualification.
Focus: Connecting model predictions to practical business decisions rather than evaluating predictive accuracy in isolation.
- Co-founder & CEO: TailyX AI
- Financial reporting and advisory: International Accounting Standards Board
- Investment banking: Eight years at Deutsche Bank
- Qualifications: Chartered Accountant, CFA charterholder, postgraduate AI/ML studies
- Technology: Ruby on Rails, Python, PostgreSQL, Redis, LLMs, agents and ML
- Experience: Executive stakeholder engagement, technical workshops, software product development and business strategy
I'm interested in selected AI transformation advisory, SME executive coaching, applied AI programme delivery and fractional AI leadership engagements.
I particularly enjoy work involving commercial problem diagnosis, AI use-case prioritisation, solution assessment, implementation governance and measurable business outcomes.