Governance-first AI for regulated professional work

The AI proposes. A person decides.

In regulated work, a system you cannot inspect is a system you cannot defend. Velocyt builds automation where the machine does the volume, a deterministic rule checks its output, and a licensed professional owns every decision that carries weight. Not as a policy. As architecture.

The line that does not move

The system does

  • Retrieve and assemble
  • Draft and propose
  • Flag and reconcile
  • Show its working

The professional does

  • Judgment
  • Determination
  • Authorization
  • Sign-off
ENFORCED IN CODE · NOT IN A PROMPT

Regulated work, in two domains.

The method is the same in both: find the work that is high-volume and low-judgment, automate that, and leave the judgment where the licence and the liability already sit. What differs is the rulebook. One runs on IRPA and the College of Immigration and Citizenship Consultants. The other runs on SOX, PCAOB and the accounting standards.

Immigration

Immi-OS

A production operating system for Canadian immigration firms. Intake, first-pass drafting and compliance communication run on their own, so a single consultant carries the caseload of a larger team. Ten modules across fifteen orchestrated scenarios, live, with the AI architecturally unable to file or decide.

See Immi-OS →

Finance

Controls-first automation

Reconciliation, payables, close and variance work for finance teams under audit. The agent proposes a match or a classification, a deterministic rule recomputes it, and a person disposes of anything material. Maker and checker never collapse into one actor.

See the finance practice →
Why it is credible

Built by an auditor, not a hype shop.

Velocyt is Rizwan Ahmed, ACCA. Six years in enterprise finance and audit before the engineering, which is where the discipline comes from: a conclusion is only as good as the evidence trail behind it, and an auditor's first question is always how you know.

That is not a claim you have to take on faith. The retrieval, governance and evaluation work behind both practices is public on GitHub, with pinned model versions, checked-in eval results and hand-graded faithfulness. You can read the code and the measurements rather than the marketing.

See the measured results →

The useful half of the answer is usually no.

Plenty of what gets sold as AI automation should not be automated, and saying so is the part that saves you money. If a workflow is already solved by deterministic rules, a model adds risk and no value. If the right answer is genuinely unknowable, a confident model output is worse than an honest gap. And if a decision flows to a financial statement or a legal submission, the judgment stays with the person whose licence is on it.

On a first call, expect to hear which parts of your process we would leave alone. If everything you describe sounds automatable to a vendor, you are talking to the wrong vendor.

Start here

Find out where the hours actually go.

A workflow audit is a short, specific review of where your practice spends time a system could absorb, and where it should not. No obligation, no pitch deck. You leave with a clear picture of your own capacity either way.