Think inside your AI world.

Xero + Pipedrive through Unl

“How long have we got?” has two honest answers — on the balance, and on the balance plus what’s about to close — and no single tool can give the second.

Xero + Pipedrive through Unl reads the cash position and the weighted deal pipeline against the runway floor you fixed, so runway comes back on both bases with the reasoning — not just the number in the bank. The floor is held in Unl.

The criterion that binds them

Say you’ve ratified a floor and how to count toward it: Xero cash plus Pipedrive deals discounted by their stage probability, because a bank-only runway understates a pipeline that is genuinely close.

The two naked reads

Xero returns the cash position and bank transactions. Pipedrive returns the deals, stages and pipeline value. Both are accurate and separate, so the discounted-pipeline runway your floor depends on can’t be assembled from either.

The one measured answer

Against your floor: bank runway is 3.7 months, just under your four-month line; with stage-discounted pipeline it’s 5.3 — comfortably clear on the method you set. The read is explicit about which basis it used and why the gap between them is your near-close deals.

And back again

If you decide an early-stage deal is too speculative to count, you lower its weight in Unl — and the next runway read reflects the caution you just set.

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

A router can align Xero cash with Pipedrive deals. It cannot produce probable-cash runway, because the floor and the stage-weighting — the binding criterion — sit in neither the accounts nor the CRM.

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.

Read further

Questions people ask

Can AI include my sales pipeline in a runway calculation?

Yes, through Unl. You ratify the floor and a stage-weighting for deals; Xero and Pipedrive are read together against it, so runway is returned on both bank and probable-cash bases, with the difference explained.

Isn’t weighting the pipeline just guesswork?

It’s your judgement, made explicit: you set the stage weights and can change them. Because that rule lives in Unl, the runway read is measured against the caution you chose, not a generic default.

Does Unl change my books or pipeline?

Unl reads through Xero and Pipedrive, 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

Save the thoughts, decisions and targets worth keeping, each with its reasoning, carried into every AI session the moment they matter. A new unit of exchange between you and your AI: the Settled Why with standing that travels. Unprompted.

Your whole AI world. What you decided at the epicentre. It plugs into Claude, Claude Code, ChatGPT and Cursor as an MCP connector — quick to connect, in a couple of steps.

MCP native·Human settled·Model agnostic·Your data

Measured Context

Connect Unl to bring the right information into the moment.

Your sources, read against the criteria you set.

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