CA(SA) and IT Auditor
Dual-disciplined. Comfortable in a board meeting on financial assertions and in an architecture review on system controls. A rare combination in the SA market.
A contractor proposition for KPMG FS
AI Ambition.
Built right.
Senior director-grade rigour delivered by a contractor who builds production AI for a living. Focused on this mandate.
Ashaylan Moodley CA(SA)
·
14 years in assurance
·
IT Auditor
·
Founder — MyGenie AI
·
Banking Specialist
14
years in assurance
49
specialist Genies live in production
1
mission for KPMG FS
Our values
Every agent built on a foundation we both believe in.
The DNA of every system delivered for KPMG FS — woven into the prompt layer, the evaluation criteria, and the way each engagement is run.
01Why me
An unusual combination
and the right one.
The AI Ambition mandate needs someone fluent in regulation, controls, and code in equal measure. Few profiles combine all three.
14 years in assurance
Big-4 trained. Currently Director at Solvex. Banking-specialist background. Every system I build is informed by how it will be audited.
Builder, not just a strategist
Founder of MyGenie AI — 49 specialist AI agents live in production on Google Cloud, with an agentic cockpit, document generation pipeline, and tested deployment process. Hands-on with Claude, Gemini, and GPT in production today.
Flair and passion for technology
Self-taught engineer with a deep conviction that AI's next decade in professional services is owned by people who understand both the regulation and the system. That conviction is the engine — it is what keeps me building at 11pm.
FOCUS
All in on AI delivery.
Not split across the broader audit and advisory practice. The AI Ambition Project gets undivided execution capacity for the duration of the engagement.
BANKING SPECIALIST
Deep in the engine room of SA banking.
Involved in engagements with six major SA banks spanning Corporate & Investment Banking, Markets, Retail, Credit, and Treasury. The regulatory complexity AI Ambition will encounter is terrain I already know intimately.
LONGEVITY
A delivery relationship, not a placement.
Built with the assumption this is the start of a long-term partnership — measured in years, not months. Incentive aligned on the project's demonstrable success.
02Track record
Proof, not promises.
Numbers that come from shipped work and credentialed experience — not from slideware.
49
specialist AI agents live in production
40+
SA statutes and standards ingested with citation enforcement
14
years of engagement leadership across assurance
MyGenie AI — built and shipped
Founder, sole architect, and product builder. Live on Google Cloud with Firebase, Next.js, and three foundation model providers (Claude, Gemini, GPT). Agentic cockpit, document generation pipeline (Word, PowerPoint, PDF), and a live customer base.
14 years of engagement leadership across assurance
Big-4 trained. Currently Director at Solvex. Banking-specialist background with experience across the financial services complexity the AI Ambition Project will encounter.
Production AI experience across three model families
Hands-on, in-production work with Claude (Anthropic), Gemini (Google), and GPT (OpenAI). Internal model routing, prompt engineering, RAG pipelines, agentic orchestration — built and operating today.
03Success
How we'll measure it.
Success on this mandate is not a status update. It is a small number of concrete, defensible outcomes the director group can point to at every review.
01
Delivered systems, not slideware
At every fortnightly review, the artefact on screen is a working system the team can click through. No demos of slides. If we cannot show running code, we have not progressed.
02
Audit-defensible by design
Every agent shipped passes an internal control review before production release. Risk-rated, control-mapped, and aligned with ISA 315, ISA 230, and the firm's quality management standards. Director group signs off the control framework once; agents inherit it thereafter.
03
Capability uplift across the team
A named cohort of managers and seniors graduate from “AI-curious” to “AI-confident” — measured by the work they produce without me in the room. The goal is a practice full of AI practitioners, not dependence on a single contractor.
04
Velocity from a small footprint
What a typical Big-4 internal team takes six months to deliver, this engagement targets in six to eight weeks. Lean cadence, fortnightly demos, running systems on screen at each one.
05
Pilot-FS adoption is the litmus test
The first agent reaching production is judged by usage in the pilot FS group — not by build complete. If the pilot uses it in real client work, we have shipped. If they do not, we iterate.
06
A long-term partnership earned
The ultimate measure: the next AI mandate at KPMG FS is awarded without competition because this one was delivered without friction. Trust compounded engagement by engagement.
04Timeline
The road, milestone by milestone.
A live view of where we are. The current milestone is highlighted. As we progress, the marker advances and the trail behind it fills in.
No more status update meetings — you'll see status live on this dashboard, and live in the solution itself, as we progress. Our meetings will be to collaborate and enhance our agents.
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