AI features

AI you can switch off and lose nothing.

Every AI feature here wraps a path that already works without it. If the switch is off, the key is missing, or the model returns nonsense, you get the manual path and no error — you should not be able to tell "off" from "failed".

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The AI settings screen listing each feature, what it does and what happens when it is off
Each feature says what you fall back to when it is off. Most companies never turn it on.
The problem

AI in business software is usually load-bearing and unaccountable: it is on by default, it is in the critical path, and when it invents something there is no way to tell. In a system holding payroll, that is not an acceptable trade.

How it works

Optional, additive, and never load-bearing

It is off until you turn it on

Per company, and per feature. Nothing is sent anywhere until an admin makes that decision deliberately.

Only the facts it needs leave

People are sent as tokens rather than names where a feature needs them at all. No salary, no attendance, no leave — a summary cannot mention what it was never given.

Every answer is checked before you see it

Figures are matched against the ones we supplied and identifiers against the database. One bad claim discards the whole response.

Why it matters

What changes when you run it this way

A named fallback for every feature

The settings screen states, for each one, exactly what you still have when it is off. Nothing is only available through the model.

A monthly cap you set

Requests are counted and capped. When the cap is reached the features stop and the admin who set it is told, rather than a bill arriving.

Verified, not trusted

The contribution summary rejects itself if one point misreports one KPI. A partly-correct performance review is more dangerous than none, because nobody knows which half to trust.

Some features never leave your data

Estimate correction is regression over your own history — no model, no API key, nothing sent anywhere. The settings screen labels which are which.

The detail

AI features at a glance

What ai features supports in Spyne today.
DefaultOff, for every company and every feature
FeaturesExplain a payslip line, estimate correction, classify unlogged time, yearly contribution summary
Runs on your data onlyEstimate correction — no external call at all
Never sentNames where avoidable, salaries, attendance, leave
VerificationFigures and identifiers checked against the database; a failed check discards the response
Cost controlMonthly request cap per company, with an alert when reached
Questions

Before you ask us

Is our data used to train a model?

No. Requests go to a commercial API under terms that exclude training, and most features send pseudonymised facts rather than records. The features that run on your own history never leave the database at all.

What happens if the AI is wrong?

In most cases you never see it. Every response is validated — figures against the ones we supplied, identifiers against the database — and a response that fails is discarded silently in favour of the manual path.

Do we have to use AI to use Spyne?

No, and most companies do not. It is off by default and every screen works fully without it. That is a deliberate architectural rule, not a roadmap position.

Does it cost extra?

It is included, with a monthly request cap you set. When the cap is reached the features stop until the next month rather than continuing to spend.

Connected

What ai features touches

These are not separate products. What you record in one is what the next one reads.

See it with your own numbers in it

Start a trial and generate a full sample company in one click — three months of attendance, payroll, invoices and projects, all joined up. Then delete it and start for real.