For Sales Leaders
Enterprise deals run for months, through procurement, across a buying committee you rarely meet in one room. A deal intelligence War Room, health scoring with AI next actions, and Sales Intel that turns any meeting transcript into MEDDICC scoring where every claim cites a verbatim quote.
War Room
Watching 3 of 14 open deals3 of 14 deals · $292k in play · 2 at risk
Halvern Health
$142kNorthsky Logistics
$86kBrightmoor Retail
$64kWin probability
62%
Base 58%, signals +4
Coalition
71%
2 for, 1 undecided
Risks
2
1 critical
A runnable walkthrough for sales leaders: a film. A deal goes quiet, the War Room says why, the last call supplies the evidence, a move is simulated before it is made, and the champion writes back with the buyer in tow.
Every figure is sample data. Nothing here is connected to a live account.
Deal intelligence
Sample dataOpen
AnyCRM. Deal intelligence.
Alert
Halvern Health dropped to 41. $142k, Proposal, no activity in 16 days.
War Room
Win probability 62%, coalition 71%, two active risks, 16 days since the last touch. The economic buyer has never been on a call. The close date slipped once.
Evidence
Sales Intel from the last call: Metrics 3 of 4, Economic buyer 1 of 4 quoting "Samir signs anything over fifty", Decision criteria 3 of 4, Champion 4 of 4. Every claim cites the line it came from.
Simulate
Three moves offered. Bringing the economic buyer in is the one chosen, and the projection answers in the same view: win probability 62% to 71%, coalition 71% to 84%, risks 2 to 1.
Sent
A two-line note to Maya Ellison asking for Samir on Thursday, with the brief attached. Sent, and logged to the deal.
Reply
Maya Ellison, 4m: "Samir can make Thursday. Send the brief and I will walk him through it first." Sixteen quiet days, ended by the one move the room ranked first.
Wrap
Halvern Health moved from Proposal to Negotiation. Deal health 41 to 58, days since last touch back to 0. One risk cleared: the economic buyer is in the room.
Close
The move that opens the deal. It was already in the record, sixteen days deep. The War Room read the evidence, ranked the moves, and put the economic buyer in the room on Thursday.
The problem
“I find out an enterprise deal slipped when the rep says so in the forecast call.”
The solution
Deal health scoring runs on every deal continuously, and AI next actions say what to do about it. Pinned deal metrics show accurate days-in-stage, so a stalling deal announces itself before the forecast call does.
The problem
“Their procurement team wants evidence. My deal review gets a story.”
The solution
Sales Intel turns any meeting transcript into MEDDICC scoring, buying signals, objections and next actions. Every claim cites the verbatim quote it came from, so a review is a reading of the record rather than a retelling.
The problem
“Half my team is cold-calling logos somebody on this floor already serves.”
The solution
AnyCRM finds who in your network can introduce you to a target account's decision-makers, surfacing the path from account to person to intro. The buying committee and decision map shows supporters, undecided and blockers, with influence links drawn only where there is real evidence.
Sales Intel turns any meeting transcript into MEDDICC scoring, buying signals, objections and next actions. Where the call gave no evidence, it scores nothing and says so, which is what makes the rest of it worth reading. The War Room above runs on the same record: executive brief, ranked risks, battlecards, and a simulator for a move you have not made yet.
Sales Intel
Discovery call · 38 min · scored from transcript
Metrics
“We are losing about nine hours a week to manual updates.”
Economic buyer
“Marcus signs anything over fifty thousand.”
Decision criteria
“It has to sit inside the tools we already run.”
Champion
No evidence yetNothing in the transcript supports a score. Nothing is invented.
Network-powered outreach: AnyCRM searches your team's connections for a route into the decision-makers you have mapped, then drafts the reconnection and the intro request for you to review.
Warm paths
Northsky Logistics · 2 paths found
Northsky Logistics
Target account
Priya Raman
Dana Okafor
Worked together at Ardent
Tom Byrne
Marcus Hale
Shared board seat
Intro email drafted for Priya. Review before sending.
When the RFP lands, the answers are already on the account. See how the response is drafted from the record.
See RFP responseWhat you will use first
Where this role lives in the deal
Highlighted stages are where this role's use cases sit.
Find
Name an account you run, and the run goes looking for more of them.
Find
What a prospect's own customers complain about, read from public reviews.
Find
The same review data, read for what the current vendor fails at.
Find
A 0 to 100 maturity read with its trend and the six lenses behind it.
Price
One price per resolved outcome, built from three inputs, with the margin behind it.
Price
In-house against the BPO and the BPO with AI, built from the deal record.
Full deal intelligence from day one. No credit card required.