Think inside your AI world.

Spendesk through Unl

An invoice arrives with a number attached. Whether that number should have cleared depends on a limit Spendesk has never held.

Spendesk through Unl reads supplier spend and open purchase orders against the purchase-order limit you have ratified, so 'is this invoice within the limit' comes back past the limit, with the condition it hasn't met.

What Spendesk holds

Spendesk AI Connect is read-only, and it covers:

  • Spend by supplier and cost centre
  • Payables, including what's overdue
  • Purchase orders that are still open
  • Invoices moving through the pipeline

What the naked read gives you

Spendesk through Unl will surface an outstanding invoice precisely - the amount, the cost centre, whether the purchase order behind it is still open. All accurate, all current. What stays out of view is the limit that invoice ought to sit inside, because Spendesk's records stop at the invoice; the limit was set elsewhere.

The frame judges the data it is given; it does not verify the source’s accuracy.

What changes when Spendesk is read measured

Your FP&A lead ratified the purchase-order limit for that supplier, fixed after a single order ran well past what the relationship justified.

'Is this invoice within the limit' returns, measured: past the limit by nine hundred, the gap between what was raised and what was agreed. Spendesk supplied the invoice; your ratified rule supplied the limit.

And back again

Unl holds the limit and this invoice's result against it together - not the invoice itself, which stays in Spendesk, but the ratified number and what happened when it met reality. The next purchase order from that supplier is measured the same way, inheriting the reasoning rather than starting the argument over.

The answer comes back measured against what you already decided, and why.

The lane is live and open to this tool today: one box, paste anything. If it speaks MCP, Unl can reach it. Readings arrive unprompted, the data beside the criterion; Unl is a courier, not a warehouse, and keeps only your keys and the frame.

Questions people ask

Why does one invoice come back past the limit and another from the same supplier does not?

Because the ratified limit applies per purchase order, and a supplier can hold several at once. Unl reads each invoice against the specific PO it is tied to, so two invoices from the same supplier can return different verdicts depending on which order they sit against.

How do I connect Spendesk to Claude?

Spendesk AI Connect is set up from Spendesk's platform page, connecting through Claude Cowork or another MCP client with your own Spendesk credentials. Access follows your existing Spendesk permissions, and Unl reads through that same connection.

Does Unl approve invoices or move payments?

Unl reads through Spendesk, and can write back on your explicit gesture — it never acts as a side effect of a read.

What this is

Think inside your AI world — you stay in command

Unlimitless (Unl to friends) holds what you've settled, reads what your tools are showing, and catches what's changed out in the world — and hands your AI whatever bears on the work, the moment it's needed, without you asking. The right thing, in front of the model, unprompted, with you in command of the call. So you keep moving toward what you set out to build, on top of everything you've already decided.

It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector. Quick to connect, in a couple of steps.

Unlimitless is open now to invited Alpha. Apply for the Beta waitlist to come in ahead of the full launch:

Alpha is invite-only · free at launch.