Affinda Group · Melbourne CBD. Four wholly-owned subsidiaries solving complex business problems with AI: Affinda (intelligent document processing), Pathfindr (executive AI education and adoption), Draftable (document comparison software), Vesparum Capital (founder-led capital advisory). 100 people. 2,000+ customers across 80+ countries. This page is the case for a Career systems builder slotting into the Group at senior IC calibration.
This expression of interest is submitted at the Group level — addressed to where Affinda Group is heading rather than to a specific currently-posted seat. The Group operates four AI-shaped businesses and is capital-raising with the stated ambition of becoming "an Australian AI company of globally significant proportions." Companies at that inflection need senior builders — people who design the architecture, ship the implementation, and demonstrate the methodology from first principles. The Saputo DOT seven-layer architecture, the Pacific Brands six-ERP centralised engine, and two years of Anthropic's Claude as a genuine engineering partner sit in front of you on this site. Section 05 sets out the strengths I'd bring — where they land inside the Group is your call.
One disclosure up front: I am Warrnambool-based, 100% remote since 2019, AEST. Three hours from Melbourne. If Affinda Group needs CBD-onsite four or five days a week, this is a mismatch. If remote-primary with planned monthly travel is on the table, the body of this dashboard sets out why I fit.
The Toner brothers ran the business with one as CEO (Tim) and the other as Chief Scientist (Ben). That is a builder org chart. The companies that operate this way — founder-engineer at the top of the technical line, founder-CEO at the top of the commercial line — are the ones where a senior IC builder gets to actually build and be heard. Three management tiers above where I sit today, at Pacific Brands, I had a CEO who signed off on S&OP outputs because the work was credible. Same shape.
Affinda Group is currently capital-raising following the $15M Pathfindr acquisition, with stated ambition to become an Australian AI company of "globally significant proportions." Companies at that inflection don't need more delivery seats; they need builders who can credibly demonstrate the methodology from first principles when investors and Tier-1 customers ask "what does an AI-augmented build actually look like end-to-end?" The Saputo DOT, the 70+ skill ecosystem, and this site itself answer that question with working artefacts.
Tim Toner's framing — pair products (the platform) with services (the delivery) so the business problem actually gets solved — describes the way I have shipped every centralised platform. Pacific Brands wasn't a piece of software; it was a system, a process, a governance discipline, and a CEO sign-off ritual. Saputo DOT wasn't a Power BI report; it was a seven-layer architecture, three governance workspaces, and a daily operational rhythm. The architecture and the adoption are one piece of work. That's already how I think.
Two years of Anthropic's Claude as a genuine engineering partner on enterprise-scale architecture. The DOT layers 5–7, the KIM pegging engine, this site, the company-specific dashboards — all working artefacts of the AI-augmented build pattern. For a company building AI products and services, working artefacts are the credibility most candidates can't show. The methodology is the differentiator, and it's in your hands as you read this page.
Built solo as the single planning systems builder at Workwear Group level — three management tiers above where I sit today. Harvested data from six divisional ERPs, auto-generated supplier orders, produced branded dashboards per division and S&OP decks for the three divisional CEOs with mandatory sign-off governance.
The relevant point for Affinda Group: this is the "platform plus services plus governance" Group operating model, executed at scale, more than a decade before the Group named that thesis. The pattern of one builder shipping for multiple business units is the agency/group pattern, demonstrated.
Solo design and build of the Demand & Operations Toolkit (DOT). Seven integrated layers: source ingestion, staging, lookups, transformation, KPI calculation, presentation and governance. Exactly the pattern Affinda's intelligent document processing platform sells — enterprise-grade architecture, configurable, deployable, integrating to source systems — on a different domain.
Layers 5–7 (the most recent) were built with Anthropic's Claude as a genuine engineering partner — RAG over operational metadata, agentic exception handling, prompt-chained reconciliation. The methodology is the differentiator; the artefacts are the proof.
Designing and shipping enterprise systems inside customer environments — integration, configuration, adoption, governance. The pattern I have run across three industries and three different ERPs (Pacific Brands, ADA on Dynamics AX, Saputo on SAP ECC). Where the doc AI platform needs an architect alongside the customer during a Tier-1 implementation, that conversation is mine.
Two years of Anthropic's Claude as a genuine engineering partner on enterprise-scale architecture. 70+ versioned skill files codifying the methodology. The DOT layers 5–7, the KIM pegging engine, this site, the company-specific dashboards — working artefacts of the AI-augmented build pattern. The reusable-pattern library that internal capability uplift would draw from.
231 visuals, 155 DAX measures, three thematic Power BI Service workspaces — designed for executive sign-off and operational rhythm. The reporting estate behind a 100-person, 2,000-customer, 80-country operation at capital-raise inflection is non-trivial, and the architectural muscle for that estate already exists in my track record.
Where any of these strengths land at Affinda Group — Solutions Architect, AI Engineer, BI Architect, something I haven't thought of — you're better positioned than I am to assess. You know the org map and the commercial AI landscape; I bring the methodology and the artefacts. If something fits, I would be glad to talk.