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Cast & Rule vs an AI add-on inside practice software

Several practice-management and bookkeeping tools now ship an AI feature alongside the software a practice already runs. The convenience of "it's already there" is real. So is the question of what rules it runs under.

An accountant at a desk with a laptop and a monitor reaches for a Cast & Rule workpaper, a Cast & Rule desk card by the keyboard.

A fair comparison

Where an add-on is genuinely good

It needs no new login, sits inside a workflow staff already know, and the supplier already handles the practice's data. Established practice products are also broader than Cast & Rule and available today. For a clearly scoped, well-documented feature inside software the practice already trusts, that's a sensible place to start.

Where the concern sits

An AI feature added to existing software doesn't automatically follow the same rules as the accounts or documents underneath it. What it sees, what it logs and whether a partner has to sign off its output varies by supplier, and isn't always documented as clearly as the software's main job.

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Side by side

Where Cast & Rule differs

  • Client data processed on local hardware
  • A named partner rules on each piece of prepared work
  • A locked Ledger of what the AI did
How the two approaches handle client data, sign-off, logging, firm rules, and where the work runs
An AI add-on inside practice softwareCast & Rule
Where client data goesDetail

Processed by the supplier's AI feature

Processed by the supplier's AI feature, under whatever terms cover that feature, which aren't always the same as the main product's.

Local hardware the practice controls

  • Processed on local hardware the practice controls.
  • Results the rules allow to leave are encrypted before they leave.
  • With cloud AI off, no client data leaves, and a report shows what left through Cast & Rule.
  • Each client's records sit in their own encrypted store.
Tell me more about where client data lives, on the security page (opens in a new tab)
Who signs offDetail

Varies by supplier and feature

Varies by supplier and feature. Some established products already include approval steps and fixed workflows.

A named partner signs off each piece

A named partner rules on each piece of prepared work before it goes anywhere.
Tell me more about the partner's ruling, on How it works (opens in a new tab)
What is loggedDetail

Whatever the feature logs

Whatever the supplier's feature logs; sometimes documented, sometimes not shown to the practice.

What the AI did, in a locked Ledger

  • The Ledger records what the AI did, with each entry locked to the one before it.
  • We're extending it to every AI action now.
Tell me more about the Ledger, on the security page (opens in a new tab)
Which firm rules applyDetail

The supplier's defaults

The supplier's defaults, adjustable as far as its settings allow.
Tell me more about setting the practice's own AI rules: the AI-use policy template (opens in a new tab)

The practice's own, on each task

  • The practice's own rules apply as permissions on each task.
  • Connection controls limit what each connection can reach.
Tell me more about Rules and the Strongroom, in the product tour (opens in a new tab)
Who controls the AI's instructionsDetail

The supplier

The supplier, who can change the feature or the model at any time.

Signed, versioned tasks

  • We sign every task, and the machine checks the signature before it runs.
  • Tasks are versioned: your staff can't edit them, and a change needs your approval.
Tell me more about signed tasks, in the security architecture (opens in a new tab)
Where it runsDetail

The supplier's servers

The supplier's servers, alongside the rest of that product.

A local model on the practice's hardware

  • A model running on local hardware the practice controls, on macOS.
  • Each task is tested against named model versions and upgrades only with your approval.
  • Your practice gets the list of suppliers who handle data, and where it flows.
Tell me more about install and cloud options, on Security and governance (opens in a new tab)

In summary

An add-on's convenience comes from being bundled with software already in use. Cast & Rule sits alongside that software, not in place of it.Ask any supplier, Cast & Rule included, exactly what its AI feature logs, where client data is processed and who has to approve its output before it reaches a client.

Questions partners ask

Frequently asked questions

Should a practice stop using an AI add-on it already has?

That's a decision for the practice, based on what that supplier says about data use, logging and sign-off. This page describes the general pattern, not any one product.

What questions should a practice ask its practice-software vendor?

Where client data goes when the AI processes it, whether it trains a model, what is logged, and whether any output reaches a client without a named person approving it first.

Is Cast & Rule a practice-management system?

No. It works alongside the practice's existing software, starting from exports or read-only connections.

One practice first

Start with one workflow, over six weeks, with us alongside

For a UK practice of 5 to 20 staff, with a partner who'll own the review. We run one workflow, measure it before and after, and agree in writing how it ends. Send an enquiry or email us today.

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