About

Our Team

Axiom AI Audit is led by Joseph Iyofor, Forward Deployed Data & AI Technical Strategist and founder, together with Samuel Timikare, Lead Partner for AI automation and systems integration. Between us, we architect the intelligence layer and operate the production layer that makes it run. Globally, remotely, with full UK/EU time overlap and US East Coast availability.

Joseph Iyofor, Founder of Axiom AI Audit

Joseph Iyofor

Forward Deployed Data & AI Technical Strategist · Founder, Axiom AI Audit

Experience:
10+ years
Location:
Remote, Global · GMT+1 (full UK/EU time overlap, US East Coast available)

Joseph Iyofor is a Forward Deployed Data and AI Technical Strategist with 10+ years of experience. Career spanning ISO risk management consulting, fintech and blockchain advisory, data strategy, and hands-on agentic system builds. He is the founder of Axiom AI Audit.

For over a decade he advised mid-market businesses on cost reduction, transformation, and ISO 31000 risk management standard, data & AI strategy, security audit and threat modelling, including training senior officials of the Liberia Revenue Authority on ISO standards. He moved into AI advisory as the space matured, advising fintech and blockchain startups on GTM strategy and helping one package itself for acquisition by a cryptocurrency exchange.

In 2023, he built from scratch an ML predictive classification system for an agri-tech startup, automating the loan disbursement programme with a governed data infrastructure, a four-path intelligent decision engine, and the ARIA Flywheel continuous improvement system.

In 2026, he built a 6-agentic email response system, ready to be deployed, for Blueface, a B2B SaaS business in the AI/ML space, complete with communicating workflows, human-in-the-loop review, and the Evy continuous evaluation pipeline.

Samuel Timikare, Lead Partner at Axiom AI Audit

Samuel Timikare

AI Automation Consultant · Workflow & Systems Integration Lead, Axiom AI Audit

Experience:
5+ years across automation engineering and AI workflow deployment
Location:
Remote, Global · UTC+1 (full UK/EU time overlap, US East Coast available)

Samuel Timikare is an AI Automation Consultant specialising in production-grade workflow orchestration, API integration, and operational infrastructure. Where Joseph architects the intelligence layer, ML models, agentic systems, decision engines, Samuel builds the operational layer that connects that intelligence into a client's live business systems and keeps it running reliably.

His work spans n8n, Make.com, Zapier, Airtable, GoHighLevel, Softr, and Monday.com, integrated with AI APIs including OpenAI and Claude. He has delivered systems with zero unplanned downtime on revenue-critical pipelines, built monitoring and fallback logic into every production deployment, and reduced manual operational workload by up to 80% across client engagements in the UK, US, and Nigeria.

For Axiom AI Audit, Samuel's role covers the layer between Joseph's architecture and the client's daily operations: connecting agentic systems and ML pipelines into CRM, communication, and reporting infrastructure; building the monitoring and alerting that makes those systems trustworthy in production; and handling the cross-platform integration work that turns a working prototype into a system a non-technical team can actually run.

Where Joseph's real work engagements (AgriFinance, Blueface) demonstrate the system can be built, Samuel's work demonstrates the system can be deployed, monitored, and operated without either of us needing to be in the loop day to day.

What makes this different

Built, deployed, and measured

Joseph does not theorise about AI. He architects it, builds the intelligence layer, measures it, and hands clients a system that works in their actual business, with the data foundations and governance that make it scale.

Samuel then deploys and operates it. Workflow orchestration, API integration, monitoring and fallback logic, so the system runs reliably inside the client's CRM, communication, and reporting infrastructure without either of us in the loop day to day.

Every engagement begins with a diagnosis. Every recommendation comes with a KPI. Every build includes a human-in-the-loop design until it matures for full autonomy. This is the CLEAR methodology applied in practice.

Together, the partnership covers both halves of the problem: the system gets built, and the system gets run.

Education & certifications

Education

MBA, Edinburgh Business School, Heriot-Watt University, Scotland (2015).

Certifications and credentials

  • Microsoft Certified: Azure AI Data Fundamentals (2023)
  • Microsoft Certified: Azure Fundamentals (2023)
  • AI Specialisation Certificate, University of Pennsylvania
  • Certified Data & AI Product Professional
  • Certified Data-Centric Professional
  • Certified AI Data Security Specialist
  • Certified AI Agent Security Specialist
  • Agentic AI Practitioner (hands-on: 6-agent agentic system build)
  • Certified Data & AI Technical Strategist
  • Pendo Super Certified Professional (product management)
  • People and Soft Skills Essentials, IBM

Philosophy

Measurable outcomes or it is a liability

AI strategy that does not deliver measurable outcomes is a liability. Every engagement at Axiom begins with a diagnosis, because building the wrong solution to the right problem is waste, and building the right solution to the wrong problem is worse. The CLEAR framework exists because the sequence of work matters as much as the quality of the work.

We work globally and remotely on audit engagements, strategic advisory, agentic system builds, workflow automation and integration, fractional Head of AI, fractional CAIO, and term contracts with defined outcomes. GMT+1 timezone, full UK/EU time overlap, US East Coast available.

Work with us

Available for audit, advisory, builds, and automation

Globally and remotely, for audit engagements, AI strategy, agentic system builds, workflow automation and integration, fractional CAIO roles, and term contracts with defined outcomes.