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vet → disclose → verify
Most AI adoption stalls in the same place: not at the demo, but at the point where someone has to decide whether a multi-step output is actually correct, compliant and safe to rely on.
That decision is our specialism.
vet → disclose → verify
For long-horizon business, finance and GRC workflows — the multi-step processes where an error compounds quietly rather than failing loudly.
What this looks like in practice
Mapping and documenting the workflow as it really runs, not as the process document claims.
Designing the AI-assisted version: where the model helps, where it must not act alone, and where a human decision belongs.
Building the evaluation — the rubric or reward signal that defines what "good output" means for your workflow, so quality becomes testable rather than felt.
Writing the governance layer: disclosure points, audit trail, escalation, and the pre-launch gate.
Who it fits.
Teams scaling AI who have the tooling and lack the bar; finance and operations functions where compliance isn't optional; anyone who has to defend an AI-assisted output to an auditor, a regulator or a board.
vet → disclose → verify
Two bottlenecks come up in nearly every conversation: vetting AI talent well enough to trust the hires, and finding data or agentic-workflow partners whose pipelines would survive an audit.We handle the governance-fit side of that conversation — free, and separate from anything transactional.
Where a route we use ourselves genuinely fits, we introduce it and disclose the relationship plainly.We only list what we've used, and we don't quote other people's terms secondhand.
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Delivered through Striking Accounts, the group's finance practice: bookkeeping-to-advisory, systematised and AI-assisted, with a chartered finance function behind it.
It is where much of the portfolio's real-world workflow knowledge comes from — you learn different things about finance automation when you are the one signing off the numbers.
Finance and accounting work is delivered inside a formal professional engagement, with its own scope and terms, and is arranged separately.
Nothing on this website is financial, legal or professional advice.
vet → disclose → verify
The teaching that comes out of the work, published through AiTheBrief — the honest version of what AI does and doesn't change for a business.A structured governed-AI setup workshop and a longer-form book are in development.
They'll be announced when they're ready and tested, not before. If you'd like to hear when:
vet → disclose → verify
1 · A real conversation.
What you're actually trying to do, and whether we're the right people. "Not a fit" is a perfectly good outcome and we'll say it early.
2 · Vet.
Before we recommend a tool, a partner or an approach, we check it against your data policy, your risk position and your budget.
3 · Build, with disclosure.
AI-assisted where that's genuinely better, human-decided where it matters, documented either way — so you can see exactly how the thing works.
4 · Verify, then hand over.
Nothing ships on an unchecked model output. You get the workflow, the evaluation and the governance layer — meaning you can run it without us.
What we won't do
We won't recommend a tool we haven't used. We won't put your client data or personal data into an AI system. We won't publish an AI-assisted claim we haven't verified. We won't quote a partner's pricing or terms secondhand.
And we won't take an engagement where the honest answer is that you don't need us.
Email us → [email protected]
Partner enquiries → [email protected]
Nothing on this page is financial, legal or professional advice. Educational and informational content only.
