For accountants and finance people. How a system built on a probabilistic AI model produces figures nobody has to take on trust: the model reads and drafts, code calculates and checks, and every figure on a deliverable resolves to a page or to arithmetic over figures that do. With the failures that shaped each control, and a glossary.
The working principles behind every Orbital system, each with the mechanism that enforces it in the Document Substrate: garbage in, garbage out; doer to reviewer; the model out of the defensible core; personal details never leave the building; ledger, not spreadsheet; one install per customer; small firms first; expertise is captured, not generated.
A collection of short, illustrated guides written for the people who have to approve an AI system rather than build it — how an AI chat actually works, what happens to personal information, how finance teams keep a probabilistic model's numbers exact, and how the Document Substrate puts it all to work.
Why naive document pipelines fail, and how a four-step substrate — parse, redact, extract, embed — gives you a foundation that lets any LLM work safely on sensitive business documents.
For accounting practices that run on FYI. What FYI does, what the Document Substrate does, the three places they overlap, the one place the AI differs, and what Orbital will not build because FYI already has it.
Why 'substrate' is the right word for what an Orbital Map engagement produces — the cross-disciplinary roots, the work the metaphor does, and why the alternatives lose something.
What 'substrate' actually means in your field — a worked walkthrough across accounting, law, environmental consulting, logistics, residential construction, and wealth management. Designed so practitioners in any of these fields can finish reading already drafting their own.
How Orbital's three phases — Map, Architect, Build — were applied to CTI specifically. The case study from the inside: what got mapped, what got architected, what got built, and why the order matters.
How Orbital built an AI coaching platform whose recommendations are grounded in the athlete's own power data, fitness trajectory, and past conversations — not generic advice. The public proof of concept for the approach Orbital takes with every client.
The case for AI grounded in a business's own judgement rather than a generic model, and the Map, Architect, Build engagement shape that produces it. Originally the Orbital home page, April to September 2026; kept as the long-form version of the argument.