Capabilities/

Sales

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Deal Health

Deal Health

Score every open deal so you know which to save, which to push, and which to walk away from.

Connects to
Departments

Sales

RevOps

Deal Health agent·3 deals flagged today
Assessing Praxis
TriggerCRM signal · Praxis$265K New Business · close date pushed a second time
Deploy agentDeploying Deal Health agent on the deal
Use skillLoading skill · Deal Health
Reference memoryReading memory · Sales Process · Objections · Competitors
ReasoningChampion silent 11 days since pricing shared; health moved GoodPoor, same pattern as the last two stalled deals
ActionCompose risk alert + recovery play → deliver to Slack before the forecast call
Caught in 6 seconds
Delivers toSlackTeams
Revenue LabsAPP9:04 AM LIVE
⚠️ DEAL RISK: Praxis | $265K New Business
Enterprise · New Business · Stage: Negotiation · Owner: Lena P. · Health: GoodPoor
SIGNALS
Champion silent 11 days · no reply since pricing shared Jul 10
Close date pushed twice · Jun 30 → Jul 18 → Jul 31
Economic buyer not engaged · procurement thread never opened
RECOMMENDED PLAY
Re-engage through the economic buyer
The CFO holds final approval, surfaced in your discovery notes. Take the revised proposal there directly; another chase email to the champion repeats the stall pattern.
Priority: Critical  |  Confidence: ●●●
Ask AgentWhy This Deal?Open CRM
AI Bolted On > AI-native.

A health score that turns red too late, and one you can act on early

Any tool can colour a deal red. What changes is whether it catches the risk early, weighs it against how your deals get won, and tells you which to save, push, or cut.

Before
AI Bolted ON
After
AI Native

A red flag once the deal's already lost

You see risk too late, and never the reason, so there's nothing left to do.

Flags every kind of risk, early

Going to a rival, stalling on no-decision, losing steam, before it's lost.

Only ever tells you what's going wrong

So the deals you should push hardest get no more attention than the rest.

Shows you where to push while you're ahead

It flags the deals with momentum, so you press the advantage and close faster.

Dead deals sit in the forecast for months

Reps chase deals with no budget or no access, and the number looks better than it is.

Tells you which deals to walk away from

Wrong fit, no budget, no path to the buyer, so you spend time where it counts.

One rep's risk is another's sure thing

Health is a matter of opinion, so the forecast is only as good as each rep's read.

Risk based on evidence, not opinion

The same read on every deal, from what actually happened, not how a rep feels.

What one rep learns to spot stays with them

The next rep misses the same risk and loses the same kind of deal.

What one rep learns, the whole team gets

A rep's hard-won read on a risk is shared across the sales org, so no one relearns it.

BUILT USING THE WORKSPACE
What other system architects are building today.
Agent
Pipeline Review

Active

Runs before every review

Two deals slipped out of forecast this week

Flagged before the meeting, with what's driving each

One at-risk deal carries a third of the number

Champion's gone quiet; the buyer isn't multi-threaded

+

Three deals need a next step set today

Sitting idle past the pace of deals that close

Your focus list for the review, in priority order

The deals that need you, and what to do on each

Focus list ready before the meeting

SEE HOW IT WORKS
Agent
Meeting Prep

Active

Runs 30 min before each call

Brief built for tomorrow's Acme renewal call

Pulled live deal state 1 hour before the meeting

Flagged two deals with no next step

Both stalled 14+ days since last activity

+

New stakeholder added to the buying group

CFO joined — added to the account brief

Objection playbook matched to the call

Pricing pushback: three proven responses surfaced

2 briefs ready for your review before 9am

SEE HOW IT WORKS
The Platform

One system that understands, decides, acts and learns.

Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.

Explore the GTM System →
GTM Data & Knowledge
CRM · Emails · Calls · Marketing · Product · Support · Documents · Research
AI-Native Operating Layer
Context · Memory · Skills · Agents · Decision Traces
AI-Native Sales System
Understand
Deal State
Qualification
Stakeholders
Risk
Decide
Pipeline Review
Forecast
Meeting Prep
Prospecting
Act
Follow-up
Next Steps
Updates
Escalation
Learn
Upgrade ICP
Upgrade Prospecting
Upgrade Sales Process
Upgrade Messaging
Surfaces
CRM · Slack · Teams · ChatGPT · Claude · MCP · API
Output
Briefings · Artifacts · Alerts · Recommendations · Approvals · Actions

The GTM teams that learn fastest will win.

Build yours a system that learns. An advantage competitors cannot buy back: years of success and failure, codified.

Frequently Asked Questions

AI-native GTM Systems didn't exist two years ago - here are the questions everyone wants answered.

Talk to Us→
We already see health scores in our CRM. Why this?

CRM health is a colour on a few fields, and it turns red once the deal has already gone. This scores every open deal on where it really stands: what's at risk and why, what's worth pushing, and what to cut. You act while it still matters, on evidence, not a rep's gut or a stale field.

Can't we just ask a general AI assistant (ChatGPT, Claude)?

A general assistant only knows what you paste in, so it can't tell a healthy deal from a dying one across your whole pipeline. This reads every open deal directly, scores it on how your deals actually progress and get won, and gets sharper as it learns which risks matter. It's grounded in your business, not a prompt.

How is this different from a revenue-intelligence tool (Gong, Clari)?

Those tools score deals and summarise calls, so they tell you a deal looks risky. This scores what's at risk and why, what to push, and what to cut, judged against your own process, and it tells you what to do. And it improves from which calls actually paid off. You get a decision, not a dashboard.

What makes it get better over time?

It learns which risks actually cost you deals and which saves actually work, across your whole team. When one rep catches a risk early or turns a deal around, that becomes how it scores and coaches the same situation for everyone. The team reads deals better together, so fewer good deals slip and dead ones get cut sooner.

How long does it take to get running?

It runs on the stack you already have. Connect your data sources and it starts scoring every open deal from day one, with no migration and nothing new for the team to learn.

What does it connect to?

It pulls from the sources that show a deal's real health: your CRM plus email, calls and messaging. It flags risks and opportunities where your team already works, and beyond those it can connect to almost anything in your stack.

How much control and oversight do we have?

Your RevOps team builds and controls it: what signals it watches, how it scores health, and what it's allowed to do. Nothing high-stakes happens without a person. Every flag, action and outcome is tracked, and improvements to how it works are approved before they take effect.