Arches
Org charts for the last 3 purchases
Connected:HubSpot logoHubSpotStripe logoStripeLinkedIn logoLinkedInCrunchbase logoCrunchbase
Evaluate our last 3 purchases — should be Patronus AI, Lamini, and Contextual AI — and generate a proper org chart for each. I want to understand who actually bought us: who championed, who signed, who nearly blocked it, and what our buyer ICP really looks like before we build next quarter's target list.
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I'll build this from the record, not memory: I'll identify the last three closed-won purchases in HubSpot, verify them against Stripe, then construct each org chart from LinkedIn and Crunchbase with the actual deal evidence overlaid. Two questions first: do you want the full company chart, or just the functions the deal touched plus the exec layer? And should committee roles be inferred from titles, or only assigned where there's evidence in the deal thread?

Functions the deal touched plus the exec layer — full company is noise. And split the difference on roles: assign them, but label each one evidenced or inferred so I can tell what's real. Stage anything you'd write to HubSpot for my approval.
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Scope

Confirmed: Patronus AI ($48k, closed May 28, 31-day cycle), Lamini ($36k, May 9, 26 days), Contextual AI ($72k, Apr 22, 44 days). One finding already: 11 distinct people show up across the three deal threads, and 4 of them were never created as HubSpot contacts — including one of the signers. I'll track those while I build the charts.

Build
4 people closed your deals without existing in your CRM

Lamini's contract signer (Head of Operations) and Contextual AI's security reviewer (Platform Security Lead) appear only in email threads and the signature record — neither was ever a HubSpot contact, along with two other thread participants. I've staged all 4 as new contacts with their committee roles attached. Nothing is written until you approve.

Approve the staged contacts. Now the real question — what's the pattern across the three? What does our buyer actually look like?
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ICP synthesis
The pattern across all three wins

Your deal starts with a staff-level engineer who already used the product on a self-serve trial (3/3). The economic buyer is a technical founder or VP Eng (3/3), the contract is signed by ops or the EB directly, and the only gate is a security review (2/3). There is no procurement to fight at this stage. Biggest cycle predictor: how fast the champion introduced the EB — when that happened in week one, the deal closed in under a month.

I also scored your current open pipeline against this shape: 6 of 14 open opps match the winning pattern — technical champion active, EB identified and reachable. 3 opps have no champion at all, which this model says is your strongest stall predictor. Worth a look before quarter-end forecasting.

That's what I needed. Package it: rerun on every closed-won so this stays current, and let me fire it on-demand for any account during planning.
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Package
Recommendedagent · org-chart-icp

Org-Chart & Buyer-ICP Agent

On closed-won + on-demand
Pull deal record
LinkedIn logoMap org (LinkedIn)
Overlay deal evidence
Refresh ICP model

Evidenced vs inferred roles labeled · CRM writes approval-gated · ICP model versioned

Done. Three org charts in one standard format, four missing contacts found and written to HubSpot with your approval, and a living ICP model built from deals you actually won. It refreshes itself on every new closed-won. The full evaluation is attached.

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